Project List
Get a list of Project objects. Projects have a 1:1 mapping with Observations.
### Available end points:
- `/projects/` - Will list all Projects in the database
- `/projects.json` - Will return all Projects in json format
- `/projects/<object_id>/` - Returns Projects object with that id
### Available Methods:
- `GET`
- `HEAD`
### Available filters:
- `uuid`
- `status`
- `title`
- `keywords`
### How to use filters:
- `/projects/?uuid=ab4ca8d019d148f78afba1cd20872bdd`
- `/projects/?title__icontains!=Project details`
- `/projects.json?status=ongoing`
GET /api/v2/projects/?format=api&offset=1400
{ "count": 1624, "next": "https://api.catalogue.ceda.ac.uk/api/v2/projects/?format=api&limit=100&offset=1500", "previous": "https://api.catalogue.ceda.ac.uk/api/v2/projects/?format=api&limit=100&offset=1300", "results": [ { "ob_id": 31975, "uuid": "21852a51942c4c99833686d33f22b754", "title": "Primary production, Index of Climate Change in the Ocean: Long-term Observations (PICCOLO)", "abstract": "Marine primary production, estimated to be of the order of 50 Gt C per annum, is one of the biggest fluxes of carbon on our planet. Yet, in recent studies on global carbon budgets, the pools and fluxes of carbon in the ocean and trends in biological fields, as estimated by remote sensing, have not been taken into account. This project carried out a much needed systematic study of primary production in the ocean using the OC-CCI 20-year time series, photosynthetically active radiation and a newly assembled database on photosynthesis-irradiance parameters to model phytoplankton primary production. The results will contribute to our understanding of the role of the world’s oceans in the global carbon budget in a changing climate.\r\n\r\nThis project was funded by a European Space Agency Living Planet Fellowship 2019-2020", "keywords": "", "status": "", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141525/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141526/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141527/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141528/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141531/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141524/?format=api" ] }, { "ob_id": 31982, "uuid": "bb9c128fab0644929d8b45affc8e92d9", "title": "DARE-UK - Detection and Attribution of Regional greenhouse gas Emissions in the UK", "abstract": "Detection and Attribution of Regional greenhouse gas Emissions in the UK (DARE-UK) develops systems to estimate greenhouse gas emissions to improve the accuracy of the UK's greenhouse gas emissions inventory reports. This also allows us to better understand whether we are meeting our emission reduction targets. This research supports the UKs emission reporting to the UN Climate Change Convention Secretariat. The project focuses on three major greenhouse gases responsible for global warming: carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O). UK emissions are estimated based on land, ocean and atmospheric observations coupled with novel modelling techniques.\r\n\r\nDARE-UK is a research project funded by the Natural Environmental Research Council under the Highlight Topics, a route for funding strategic research.\r\n\r\nGrant Ref: NE/S004521/1", "keywords": "DARE-UK, greenhouse gas, UK", "status": "ongoing", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141599/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141600/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141601/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141602/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168951/?format=api" ] }, { "ob_id": 32007, "uuid": "890eae5f266a491b9e0924a81ea8eedc", "title": "Machine learning of coarse-grained convection-permitting numerical weather prediction model thermodynamic tendencies", "abstract": "A project carried out at the Met Office as part of ongoing model-development research. The purpose was to carry out a feasibility study to see whether kilometre-scale convection-permitting model data could be coarse-grained and then used for training a deep neural network to emulate the evolution of the thermodynamic profiles.", "keywords": "", "status": "", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141734/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141735/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141736/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141737/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168954/?format=api" ] }, { "ob_id": 32028, "uuid": "08d900673b894f5399a0107a99981143", "title": "iCASE PhD studentship with the UK Met Office: Processes determining stratospheric water vapour", "abstract": "Most air enters the stratosphere in the tropical tropopause region, where temperatures are low, and the resulting dehydration through freeze-drying reduces water vapour concentrations to very small values. Notwithstanding the very low concentrations, stratospheric water vapour is important in the chemistry-climate system through its role in stratospheric ozone chemistry and also through its effects on the radiative balance of the troposphere. Model simulation of past and future changes depend on correct simulation of both the temperature distribution in the tropical tropopause region and the pathways taken by air parcels as they sample this distribution in moving from troposphere to stratosphere. Important aspects of this include both the annual cycle and the longitudinal variation in tropical tropopause temperatures and perhaps variation on intraseasonal and shorter timescales.\r\n\r\nThe co-operating partners in this project will be the University of Cambridge and the Met Office. Improving simulation of stratospheric water vapour remains a challenge for Met Office Earth System Models that are used for climate prediction. There are strong links between the water vapour distribution in the lower stratosphere and the tropopause temperatures which in turn determine water vapour, so positive feedbacks are possible that may significantly enhance the effects of modest errors in model representation of other relevant processes. The project will build on recent work in Cambridge and elsewhere that (a) has exploited trajectory techniques to examine the annual, interannual and longer-term links between tropopause temperatures and stratospheric water vapour and (b) has investigated the radiative coupling between water vapour and temperatures in the tropical tropopause region using a combination of offline radiative calculations and simple dynamical models. The focus of the project will be to analyse the variations of water vapour on monthly, annual, interannual and longer timescales simulated by the Met Office Unified Model (UM) and link these to the corresponding temperature and transport variations. (One component of this analysis would be\r\nthe use of a trajectory code which is already available for the UM.) The results will be compared against corresponding analysis of the recent history of the real atmosphere (some of which is already on record in scientific publications).", "keywords": "", "status": "completed", "publicationState": "", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141936/?format=api" ] }, { "ob_id": 32039, "uuid": "35248b7da34244578261df6044f1b711", "title": "APHH: Process analysis, observations and modelling - Integrated solutions for cleaner air for Delhi (PROMOTE)", "abstract": "Atmospheric Pollution and Human Health in an Indian Megacity is a four year research programme jointly funded by the Natural Environment Research Council (NERC), the Medical Research Council (MRC), the Newton–Bhabha Fund, and the Ministry of Earth Sciences (MoES) and Department of Biotechnology (DBT).\r\n\r\nOver 4 years, PROMOTE aims to reduce uncertainties in air quality prediction and forecasting for Delhi by undertaking process orientated observational and modelling analyses and to derive the most effective mitigation solutions for reducing air pollution over the urban and surrounding region. PROMOTE brings together a cross-disciplinary team of leading researchers from India and the UK to deliver the project aims. Its investigations will address three key questions: Q1 What contribution is made by aerosols to the air pollution burden in Delhi? Q2 How does the lower atmospheric boundary layer affect the long range transport of air pollution incoming into Delhi? Q3 What are the most effective emission controls for mitigation interventions that will lead to significant reductions in air pollution and exposure levels over Delhi and the wider National Capital Region?\r\n\r\nGrant Ref: NE/P016421/1", "keywords": "", "status": "ongoing", "publicationState": "preview", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142001/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142002/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142003/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142004/?format=api" ] }, { "ob_id": 32052, "uuid": "b751f23cd43f4d5c8eac95384d2a5fd4", "title": "Thresholds for the future of the Greenland ice-sheet", "abstract": "Sea-level change is one of the mostly widely known and potentially serious consequences of anthropogenic climate change due to emissions of greenhouse gases, because of its adverse impact on the populations and ecosystems of coastal and low-lying areas. This impact is expected to increase for centuries to come. One of the contributors to global-mean sea-level rise is the Greenland ice-sheet, which is presently shrinking, with the ice which it is losing being added as water to the ocean. In a warmer climate, increased melting of the ice-sheet is projected, which will exceed the expected increase in snowfall on the ice-sheet, and hence the ice-sheet will lose mass more quickly in future.\r\n\r\nExisting scientific information indicates that global warming exceeding a certain threshold would lead to the near-complete loss of the Greenland ice-sheet over a millennium or more, causing a global-mean sea-level rise of about 7 metres. The threshold is very uncertain, but it could be as low as 1-2degC of global warming above pre-industrial. If warming passes above the threshold, and later falls back below it, the ice-sheet might regrow, but this depends on how long and how far the warming was above the threshold. If the ice-sheet has lost too much mass, it might continue to contract and could be eliminated even if global climate returned to a state like that which existed before the industrial revolution. In that case, the sea-level rise due to the Greenland ice-sheet would be irreversible.\r\n\r\nIrreversible global-mean sea-level rise of several metres over many centuries is a scenario which would present an extreme challenge to adaptation in the coastal zone, and avoiding it is crucial for mitigation. Thus, the long-term future of the Greenland ice-sheet is a critical uncertainty, and our project aims to provide clearer information about it. We will do this by predicting the changes in the ice-sheet in this century and for many millennia into the future using a computer model which we have developed for studying changes that occurred during the ice-ages of the last 100,000 years. There is a close relationship between these scientific interests, because what happened in the past can inform us about what could happen in the future. The model represents both the climate, on a grid covering the world, and the Greenland ice-sheet, in much greater detail. Both components are necessary because as the ice-sheet changes in shape and size it modifies the climate it experiences, and this affects the rates of melting and snowfall. We will use the model to study the consequences for the ice-sheet of various levels of global warming, maintained for various lengths of time. We will make our results available to the public, the scientific community, and policy-makers in the UK and abroad. They are relevant to international climate policy because of the global warming target of 1.5degC, which is the aspiration expressed in the Paris climate agreement signed in 2016.\r\n\r\nThis is a NERC funded project NE/P014976/1 and NE/I011099/1.", "keywords": "Greenland, ice-sheet", "status": "pending", "publicationState": "preview", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142059/?format=api" ] }, { "ob_id": 32057, "uuid": "9e6e8610bfe64f2bbadc6f86efaf6695", "title": " FAAM Aircraft Project", "abstract": "The project utilised the FAAM aircraft. Further details to follow.", "keywords": " , FAAM, Met Office", "status": "completed", "publicationState": "working", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10795/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32060/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142138/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142139/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142141/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142140/?format=api" ] }, { "ob_id": 32107, "uuid": "722ad6d18fd84208afb8cc2dabfd5ef1", "title": "RAINE", "abstract": "To be completed", "keywords": "", "status": "completed", "publicationState": "", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142372/?format=api" ] }, { "ob_id": 32167, "uuid": "c446ce8eaecf494b9e9bbcfc11038dd4", "title": "Option 6 of the ESA Glaciers_cci project: An Inventory of Ice-Marginal Lakes in Greenland", "abstract": "This project was undertaken as part of the ESA Glaciers Climate Change Initiative project. \r\n\r\nThe objective of this project is to construct a comprehensive inventory of ice-marginal lakes for Greenland that can be used to assess the spatial trends, relations, and impacts of ice marginal lakes in the context of a warming climate. The inventory of ice marginal lakes is of great relevance for extreme outburst flood events, keeping meltwater away from the oceans, impact on the evolution of glaciers in terms of area and volume (frontal feedback mechanisms), and to modelling glacier dynamics and glacier/climate interactions. \r\n\r\nThe inventory will contribute to the essential climate variable 'Lakes' and has been generated by the ESA project Glaciers_cci under Option 6, which is an addition to the baseline proposal", "keywords": "", "status": "ongoing", "publicationState": "preview", "identifier_set": [], "observationCollection": [], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/13301/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143016/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143017/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143018/?format=api" ] }, { "ob_id": 32240, "uuid": "a549c26e68634b12893dab827b392e66", "title": "ESA Sea-Level Budget Closure Climate Change Initiative project (SLBC_cci)", "abstract": "To assess the accuracy and reliability of our knowledge about sea-level change and its causes, assessments of the sea-level budget (SLB) are indispensable. Closure of the sea-level budget implies that the observed changes of GMSL equal the sum of observed (or otherwise assessed) contributions, namely changes in ocean mass and the steric component. Closure of the ocean mass budget (OMB) implies that the observed ocean-mass change (e.g., from the Gravity Recovery and Climate Experiment, GRACE) is equal to assessed changes of water mass (in solid, liquid or gaseous state) outside the ocean, which are dominated by mass changes of land ice (glaciers and ice sheets) and water stored on the continents as liquid water or snow (land water). Misclosure of these budgets indicates errors in the assessment of some of the components (including effects of undersampling) or contributions from unassessed elements in the budget.\r\n\r\nSince 2010, ESA has developed the Climate Change Initiative (CCI) programme in order to produce consistent and continuous space-based records for Essential Climate Variables (ECVs). The SLBC_cci project was conducted from 2017 to 2019 as the first cross-ECV project within CCI. The project aimed at taking advantage of the improved quality of sea-level-related earth observation datasets produced within the CCI programme. The project also developed new data products based on existing CCI products and on other data sources. SLBC_cci concentrated on datasets generated within CCI or by the consortium members as they have thorough insights into the genesis and uncertainty characteristics of the datasets. This facilitated progress towards working in a consistent framework of product specification, uncertainty characterization, and sea level budget analysis, and enabled the identification of unresolved inconsistencies as a prerequisite for future improvements.", "keywords": "sea level budget closure, CCI, ESA", "status": "ongoing", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/11009/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143444/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143445/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143446/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143447/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143448/?format=api" ] }, { "ob_id": 32248, "uuid": "c9ce0356acfd47a68443585f5a0bd59b", "title": "The Atmospheric Pollution & Human Health in a Developing Megacity (APHH): An Integrated Study of Air Pollutant Sources in the Delhi National Capital Region (ASAP-Delhi)", "abstract": "ASAP-Delhi will provide authoritative assessment of the sources, formation process, burden and characteristics of air pollutants in Delhi, and the influence of the surrounding NCR (National Capital Region), with a focus upon particulate matter as the pollutant with the greatest impact upon health, and a philosophy of deriving pollutant source, budget and behaviour insights from direct atmospheric observations. ASAP-Delhi is a self-contained component of the NERC-MRC-MoES-DBT programme Atmospheric Pollution and Human Health in an Indian Megacity, within which complementary observational / modelling / health / policy projects will be delivered.\r\n\r\nGrant Ref: NE/P016510/1", "keywords": "", "status": "", "publicationState": "", "identifier_set": [], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32257/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143462/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143463/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143464/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143465/?format=api" ] }, { "ob_id": 32270, "uuid": "248dc141d7474fe5bca60967dff96e63", "title": "NET-Sense - joint NASA ESA Temperature Sensing Experiment", "abstract": "NET-Sense is the joint NASA ESA Temperature Sensing Experiment. The overall objectives of NET-Sense are related to the proposed future European High Spatio-Temporal Resolution Land Surface Temperature Monitoring (LSTM) satellite mission, which is a candidate future Sentinel satellite. Evapotranspiration is the process by which water is transferred from the land to the atmosphere by evaporation from the soil and other surfaces, and by transpiration from plants. The weather, crop characteristics, agricultural and land management and environmental aspects are all factors that affect levels of evaporation and transpiration, and the ability to map levels of evapotranspiration across agricultural landscapes provides information that is extremely useful in understanding better how much water different plants require in different regions, and how they respond to stresses such as unusually dry periods. The LSTM mission aims to address these types of water, agriculture and food security issues by monitoring the variability of land surface temperature (LST) at the European field scale, from which estimates of evapotranspiration can be mapped. This in turn will provide more robust estimates of field-scale water productivity and support the Copernicus land monitoring service, related European and also Global and international policies as well as downstream applications related to other science areas such as natural hazards and urban climate.\r\nThe primary aim of NET-Sense is to help initial work on the LSTM design by collecting unique data over mainly agricultural and urban landscapes in the UK and in continental Europe with highly sophisticated airborne remote sensing systems. These data will be used to aid the LSTM mission design and the specification of the algorithms that will be used to deliver estimates of LST and evapotranspiration from the ‘raw’ LSTM data. For this reason NET-Sense involves flying one of the most sophisticated airborne thermal imaging sensors currently available – the HyTES system designed and built by NASA’s Jet Propulsion Laboratory (JPL) alongside the Specim Fenix instrument operated by NERC’s Airborne Research Facility (NERC-ARF) and National Center for Earth Observation (NCEO) and King’s College London (King’s) and processed by the NERC Earth Observation Data Acquisition and Analysis Service (NEODAAS). Data from the HyTES instrument are being archived separately by JPL. \r\nFor more information on the project see https://www.nceo.ac.uk/article/measuring-uk-temperature-and-evaporation/", "keywords": "HyTES19-2019, NERC-ARF, ARSF, NCEO", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10815/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/8604/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143650/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143651/?format=api" ] }, { "ob_id": 32281, "uuid": "32d52890f6a24561894a05084ceef763", "title": "NERC-ARF GB18_186 Project: OPTIMAL - Optical methods for Marine Litter detection, Whitsund Bay, UK", "abstract": "Plastics in the marine environment are a cause for major global concern due to their widespread and increasing presence. However, sources and sinks of plastics to the marine environment are not well constrained, which has been linked to the lack of in situ observations. Accumulation of plastics on shore is measured by monitoring agencies and volunteer citizen groups with a disparity of protocols. Conversely, sampling efforts are biased towards more accessible shorelines, and limited in time by the availability of resources. Therefore, there is an urgent need to develop Earth Observation techniques to provide standardised, global and continuous monitoring of plastics accumulation on the shore. In this context, a feasibility study has been funded by ESA: OPTIMAL – Optical methods for Marine Litter detection which will be performing controlled experiments on the UK shoreline to assess the accuracy and precision of optical detection of plastics by high resolution sensors such as MSI on ESA’s Sentinel-2 satellite. To complement this study, support was given by the NERC ARF and FSF facilities to obtain measurements of targets from hyperspectral radiometers on the aircraft and in situ, and study the effects of changing sub-pixel resolution, wavelength resolution and atmospheric correction on known standard targets on the shore line.\r\n\r\nThis project used NERC-ARF (NERC Airborne Research Facility) Remote Sensing instruments collected on board the British Antarctic Survey (BAS) Twin-Otter aircraft.", "keywords": "GB18_186,GB18/186, NERC-ARF, ARSF", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10816/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/8604/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143691/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143692/?format=api" ] }, { "ob_id": 32374, "uuid": "a1b5bcaac129435889888fe95d6a75cd", "title": "NERC-ARF CA18_207 Project: Canadian Wildfire Observations with SLSTR and Aircraft. Ontario, Canada area", "abstract": "Canadian Wildfire Observations with SLSTR and Aircraft: Directional Effects of Thermally Emitted Radiation and Exploration of Flaming/Smouldering Partitioning and Plume Trace Gas Emission Ratios. This project used NERC-ARF (NERC Airborne Research Facility) Remote Sensing instruments collected on board the British Antarctic Survey (BAS) Twin-Otter aircraft.", "keywords": "CA18_207, CA18/207,NERC-ARF, ARSF", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10847/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/8604/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/144149/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/144150/?format=api" ] }, { "ob_id": 32375, "uuid": "040c0a1a4c7f47bc86ffd9378582cd96", "title": "NERC-ARF CEH18_16 Project: Flight over Monks Wood, UK area", "abstract": "Flight over Monks Wood, UK area. This project used NERC-ARF (NERC Airborne Research Facility) Remote Sensing instruments collected on board the British Antarctic Survey (BAS) Twin-Otter aircraft.", "keywords": "CEH18_16, CEH18/16,NERC-ARF, ARSF", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10844/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/8604/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/144152/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/144151/?format=api" ] }, { "ob_id": 32376, "uuid": "b1af9d04bf4845d198d93fcc7fc1303d", "title": "NERC-ARF GB18_106 Project: Validation of the operational and user-generated vegetation products derived from the optical instruments on-board Sentinel-2 and -3. Wytham Woods, UK area", "abstract": "This project will involve validation of the operational and user-generated vegetation products derived from the optical instruments on-board Sentinel-2 and -3. The results of the project will help to ensure fitness for purpose, enabling users to select the products most appropriate for their needs. The results of the project will also play a key role in algorithm maintenance and product evolution, thus involving the NERC ARF in NERC’s new technology theme.\r\n\r\nSystematic estimates of biophysical variables that describe the amount and condition of vegetation are a key input into a range of biogeochemical, climate, and weather models, and are essential for forest monitoring and agricultural management. Over the last two decades, a range of methods have been developed to retrieve key biophysical variables such as canopy chlorophyll content (CCC), the fraction of absorbed photosynthetically active radiation (FAPAR) and leaf area index (LAI) from optical remote sensing data. Launched in 2015 and 2016, ESA’s Sentinel-2 and -3 missions will provide continuity to the archive established by existing instruments such as MODIS and MERIS. However, if the data provided by these missions are to be of real use in environmental decision making, their quality and consistency must be assured.\r\nThis project will involve validation of the operational and user-generated vegetation products derived from the optical instruments on-board Sentinel-2 and -3. The results of the project will help to ensure fitness for purpose, enabling users to select the products most appropriate for their needs. The results of the project will also play a key role in algorithm maintenance and product evolution, thus involving the NERC ARF in NERC’s new technology theme.\r\nThis project will use NERC-ARF (NERC Airborne Research Facility) Remote Sensing instruments collected on board the British Antarctic Survey (BAS) Twin-Otter aircraft.", "keywords": "GB18_106, GB18/106,NERC-ARF, ARSF", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10843/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/8604/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/144154/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/144153/?format=api" ] }, { "ob_id": 32421, "uuid": "69f391cc3607494a8cf77f630b0ddb2d", "title": "NERC-ARF GB18_56 Project: Methane emission sources, UK", "abstract": "The aim of this project was to investigate well-defined local methane emission sources in the UK to apply and evaluate the hyperspectral processing method currently developed at the University of Leicester.\r\n\r\nThis project used NERC-ARF (NERC Airborne Research Facility) Remote Sensing instruments collected on board the British Antarctic Survey (BAS) Twin-Otter aircraft.", "keywords": "GB18_56,GB18/56, NERC-ARF, ARSF", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10851/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/8604/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/144354/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/144353/?format=api" ] }, { "ob_id": 32468, "uuid": "be3b9f0e861b4380b4b8ae8f78e796aa", "title": "OpenIFS@home", "abstract": "OpenIFShome brings together two powerful tools: OpenIFS, an easy-to-use, supported version of ECMWF’s Integrated Forecasting System (IFS) widely used in research and education; and Climateprediction.net (CPDN) at the University of Oxford, a highly successful volunteer computing project that has been running since 2003.\r\n\r\nWeather forecasting requires powerful computer systems and state-of-the-art computer models. The European Centre for Medium-Range Weather Forecasts’ Integrated Forecast System (IFS) is one of the world’s leading weather forecasting models. A version of their model, OpenIFS, is available to universities and research institutes for teaching and research. As well as producing a 10-day weather forecast from the best estimate of the current weather, a large number of slightly different forecast scenarios, known as an ensemble, are created to allow a measure of certainty on the forecast to be provided.\r\n\r\nThrough OpenIFS@home it is now possible to run a slightly different weather forecast on many hundreds or thousands of volunteer computers, making it possible to ask questions such as how predictable certain events are, particularly damaging extreme events such as intense rain or wind. The OpenIFS@Home facility offers researchers a new tool to study weather forecasts and related questions", "keywords": "OpenIFS@home", "status": "ongoing", "publicationState": "", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/144528/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/144529/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/144650/?format=api" ] }, { "ob_id": 32506, "uuid": "0de645442b7d48d5b295941ba23f5705", "title": "Investigating the large source of particulate mass from nitrophenols observed in Beijing during winter haze events (NITRO-PM)", "abstract": "Add info", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/144716/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/144717/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/144719/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/144718/?format=api" ] }, { "ob_id": 32578, "uuid": "2b4558f9e4954e1cad27dc6984055bd3", "title": "SPF Clean Air framework", "abstract": "The Clean Air programme aims to bring together leading researchers from across atmospheric, medical and social science to better predict exposure to air pollution and its effects on vulnerable groups such as children and the elderly. It will identify practical and usable solutions to air pollution to help policy makers and business protect health and work towards a cleaner economy.", "keywords": "", "status": "", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/34719/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145025/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145027/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145028/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145026/?format=api" ] }, { "ob_id": 32584, "uuid": "318f78f2669a46e4ae1977740e59881d", "title": "University of Liverpool Botanical Gardens (Ness) Long-Term Monitoring", "abstract": "University of Liverpool Botanical Gardens (Ness) Long-Term Monitoring continues surface meteorological observations at the Ness Botanical Gardens site following on from earlier observations undertaken by the Met Office.", "keywords": "long term, surface meteorological measurements", "status": "ongoing", "publicationState": "preview", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145055/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145057/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145079/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145081/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145080/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145056/?format=api" ] }, { "ob_id": 32604, "uuid": "b94b51614b0b4b09a24c3fcf2435cf4d", "title": "NE/V001183/1: GRACES (G-band RAdar for Cloud and prEcipitation Studies)", "abstract": "Despite the well-recognised influence of clouds and precipitation on our climate, there are still critical gaps in our ability to observe cloud properties that are needed to test and improve how cloud processes are represented in models. This leads to clouds and aerosols being the biggest source of uncertainty in climate models, according to the IPCC. In addition, uncertainties about cloud processes have important impacts on our ability to predict the weather, because precipitation is produced by clouds, clouds modulate the amount of sunlight we receive during the day and heat we lose at night, and latent heat processes in clouds and precipitation drive dynamical changes in storms.\r\n\r\nLow-altitude clouds of liquid water droplets cover large swathes of the globe, and cool the earth's climate. However our ability to simulate these clouds in climate models is poor, and the production of drizzle has been identified as a key weakness. We need new observations to unravel the processes in these clouds and improve their representation in simulations. Meanwhile ice clouds cover around one third of the earth at any one time, and provide a net warming on average. However the magnitude of this warming is very uncertain, and their impact on our climate is very sensitive to what we assume about their physics. Thus we urgently need to constrain those physical processes controlling how ice particles evolve in natural clouds. Finally, stratiform precipitation is an important component of the hydrological cycle and the radiation budget. Typically such precipitation include an ice phase aloft and a liquid phase at lower altitude. Yet there are processes in both phases which remain uncertain, and require new observations to robustly constrain them.\r\n\r\nOur novel proposal exploits new radar technology to break through the current limitations on the information we can currently retrieve about cloud properties and the processes that drive the evolution of the hydrometeors within them. With the help of our project partners at the Met Office and the ECMWF we will use this information to improve the simulation of cloud processes in weather and climate forecasts. In 2018 the UK Space Agency and Centre for Earth Observation Instrumentation agreed to fund the development of a new 200 GHz (G-band) Doppler radar system, called GRaCE, led by investigators Huggard and Battaglia. This ground-breaking demonstrator instrument will collect its first data at the Chilbolton Observatory early in 2020, and will be able to penetrate multiple layers of clouds with unprecedented sensitivity to small sub-millimetre particle thanks to the radar 1.5 mm wavelength, the smallest for any cloud radar system worldwide. The radar will be operated for 22 months in synergy with a suite of other remote sensing instruments. The unprecedented dataset will be exploited by GRACES scientists who are leaders in radar remote sensing techniques and have spearheaded retrieval techniques for multi-wavelength Doppler radars. Vertical profiles of cloud physical properties including water content as well as drizzle drop and ice crystal size distributions will be obtained and this data will be used to test the representation of cloud processes in numerical models in much greater detail than has been possible before.\r\n\r\nThrough this leap forward in our ability to observe clouds the GRACES system will become the forerunner for future development of a new stream of ground-based remote sensing instruments, greatly strengthening the current Earth observing system. The high frequency of the radar means that it will also be suitable for development into air-borne/space-borne instruments for cloud related studies, and indeed the proposal is very timely given parallel efforts at NASA's JPL to build an airborne differential absorption radar (for measuring water vapour) at smaller frequencies (165 to 173 GHz), and to develop CubeSat radars in the G-band (see NASA-JPL's LoS).", "keywords": "", "status": "ongoing", "publicationState": "preview", "identifier_set": [], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32603/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145212/?format=api" ] }, { "ob_id": 32622, "uuid": "0bfd551eb6b942d0a77740652099c0d2", "title": "Short wavelength absorption by water vapour", "abstract": "The aim of this proposal was to provide comprehensive and accurate data on water absorption at short wavelengths. These data were generated using techniques of first principle quantum mechanics that have been successfully applied to both absorption by water vapour at longer wavelengths and other key atmospheric species. Where possible the positions of absorption features were adjusted using laboratory measurements. The resulting line lists are made available to key groups involved monitoring the Earth's atmosphere in the near UV, placed in data depositories and made available to databases such as HITRAN.", "keywords": "NERC, water absorption, NE/T000767/1", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145441/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145442/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145443/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145444/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168960/?format=api" ] }, { "ob_id": 32626, "uuid": "c21cf5fb28c84cb2820a4785c503ea8c", "title": "ORCHESTRA - Ocean Regulation of Climate by Heat and Carbon Sequestration and Transports", "abstract": "The Ocean Regulation of Climate by Heat and Carbon Sequestration and Transports (ORCHESTRA) is a £8.4 million, five year (2016-2021) research programme funded by the Natural Environment Research Council (NERC). The aim of the research is to to advance the understanding of, and capability to predict, the Southern Ocean's impact on climate change via its uptake and storage of heat and carbon. The programme will significantly reduce uncertainties concerning how this uptake and storage by the ocean influences global climate, by conducting a series of unique fieldwork campaigns and innovative model developments.\r\nORCHESTRA involves scientists from many NERC Centres. This ambitious 5 year project began in spring 2016 and will use a combination of data collection, analyses and computer simulations to radically improve our ability to understand and predict the circulation of the Southern Ocean and its role in the global climate, with particular emphasis on the way that the Southern Ocean absorbs and stores heat and carbon.\r\n\r\nThe intensive 5-year observational program will involve ORCHESTRA scientists undertaking 12 expeditions on research ships in the Southern Ocean, with US collaborators performing a 13th. Ten of these expeditions will be annual north/south transects across the Antarctic Circumpolar Current, to evaluate how the ocean changes from one year to the next. The other three will form ‘boxes’ around the Atlantic sector of the Southern Ocean so that budgets can be performed. All these data, along with historical measurements, will be combined and analysed together. The observations will be used to inform and test a range of models.", "keywords": "LTSM, circulation, ocean, heat, carbon", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32624/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/33122/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145472/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145473/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146709/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146710/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146716/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147521/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147522/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147523/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147524/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147525/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147526/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147527/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147528/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147529/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147530/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147531/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147532/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147533/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147534/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147535/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147536/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147537/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147538/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147539/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147540/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147541/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147542/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147543/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147544/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147545/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147546/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147547/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147548/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147549/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147550/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147551/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147552/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147553/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147554/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147555/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147556/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147557/?format=api" ] }, { "ob_id": 32671, "uuid": "701276b1c63d48e784ba1f3673607628", "title": "Adverse Weather Scenarios for Future Electricity Systems", "abstract": "There is wide agreement that greenhouse gas emissions from the energy sector must be reduced if climate change is to be limited to safe levels. As such, the UK and Europe are targeting net-zero emissions and plan for highly-renewable electricity systems. Whilst desirable this hugely increases the sensitivity of generation and demand to changes in the weather and climate. \r\n\r\nIt is therefore imperative to understand just how resilient future highly-renewable electricity systems are, and whether there are physically plausible periods of adverse weather (e.g. long periods of low wind speed and cold temperatures) that could jeopardise security of supply. \r\n\r\nThe Adverse Weather Scenarios for Future Electricity Systems project provides a dataset of adverse weather scenarios, based on physically plausible weather conditions, representing a range of possible extreme events, and the affect of future climate change. This dataset can be used to more rigorously stress test proposed future highly renewable electricity systems to ensure resilience to challenging weather and climate conditions.\r\n\r\nThe dataset has been developed by the Met Office, in collaboration with the National Infrastructure Commission, and the Climate Change Committee, and with guidance from an advisory group of energy experts, including representatives from the Department for Business, Energy & Industrial Strategy (BEIS), Ofgem, National grid ESO, Energy Systems Catapult, and University College London, and with guidance from experts at the University of Reading.", "keywords": "Adverse weather scenarios, future electricity systems, adverse weather scenarios for future electricity systems, UK, Europe, weather risk, climate risk, energy system, extreme weather scenarios, electricity system resilience, climate change", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145693/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145694/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145695/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145696/?format=api" ] }, { "ob_id": 32705, "uuid": "3234e9111d4f4354af00c3aaecd879b7", "title": "Climate Change 2021: The Physical Science Basis. Working Group I Contribution to the IPCC Sixth Assessment Report", "abstract": "Data for the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n---------------------------------------------------\r\nAcknowledgements\r\n---------------------------------------------------\r\n\r\nThe initiative to archive the data (and code) from the Climate Change 2021: The Physical Science Basis report was a collective effort with many contributors. We thank the Working Group I Co-Chairs for their long-standing support. We also extend our gratitude to the members of the IPCC Task Group on Data Support for Climate Change Assessments (TG-Data) for their constant guidance and encouragement, including its Co-chairs, David Huard and Sebastian Vicuna. \r\n\r\nFor the implementation of the initiative, we recognise project management from Anna Pirani and Robin Matthews of the Working Group I TSU (WGI TSU). For contributing data and metadata for archival, we gratefully acknowledge the numerous WGI Authors and Chapter Scientists. In particular, we highlight the efforts of Katherine Dooley, Lisa Bock, Malinina-Rieger Elizaveta, Chaincy Kuo and Chris Smith for their major contributions.\r\n\r\nFor assistance with preparing data, code and the accompanying metadata for archival and publication, we extend our considerable appreciation to the dedicated contractor, Lina Sitz, along with Diego Cammarano and Özge Yelekçi from the WGI TSU. For the subsequent archival of figure data, we are indebted to Charlotte Pascoe, Kate Winfield, Ellie Fisher, Molly MacRae, and Emily Anderson from the UK Centre for Environmental Data Analysis (CEDA).\r\n\r\nFor the archival of the climate model data used as input to the report, we gratefully acknowledge Martina Stockhause of the German Climate Computing Center (DKRZ). For the development and support of software for data and code archival, we thank Tim Waterfield of the WGI TSU. For administrative contributions to the initiative we thank Clotilde Pean of the WGI TSU and Martin Juckes from CEDA. For the transfer of metadata to the IPCC data catalogue, we thank MetadataWorks. Finally, we gratefully acknowledge funding support from the Governments of France, the United Kingdom and Germany, without which data and code archival would not have been possible.", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Working Group I, Physical Science Basis, Sixth Assessment Report, Intergovernmental Panel on Climate Change", "status": "ongoing", "publicationState": "published", "identifier_set": [], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32717/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32718/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32719/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32720/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32721/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32722/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32723/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32725/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32726/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32727/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32728/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32729/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32730/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/39213/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/43269/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145808/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145809/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145810/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145811/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145812/?format=api" ] }, { "ob_id": 32715, "uuid": "28d7b6ae84c148978d91e3ed9ef25eb1", "title": "IPCC Sixth Assessment Report (AR6) Working Group 2 contribution: Impacts, vulnerability, and adaptation to climate change.", "abstract": "The Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6) contribution from Working Group 2.", "keywords": "IPCC-DDC, IPCC, AR6, WG1", "status": "ongoing", "publicationState": "preview", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145852/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145853/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145854/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145855/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145856/?format=api" ] }, { "ob_id": 32757, "uuid": "9883bef6085849fea4db955a3f74ec5f", "title": "BBUBL: Biotelemetry/Bio-aerial-platforms for the Urban Boundary Layer (also known as City Flocks) - NE/N003195/1", "abstract": "Attempts to improve the urban component in meteorology and numerical weather prediction models in recent years have been hampered by a paucity of meteorological data in the urban boundary layer (UBL), especially in the region above, but close to, building height. This region is precisely where local energy balances and drag combine with prevailing synoptic patterns to transmit fluid dynamical information up and down spatial scales, with implications for (i) urban weather prediction, (ii) event forecasting (e.g. heatwaves, climatic conditions during sporting events, releases of hazardous substances), and (iii) sustainable urban planning for high density liveable cities. However, capturing meteorological data in urban areas above the mean roof height is problematic using conventional techniques.\r\n\r\nThe BBUBL project proposed Biotelemetry/bio-aerial-platforms as a novel and practicable solution to the data paucity above urban rooftops in the UBL, and to circumvent the regulatory issues related to use of unmanned aerial systems. The project developed a suite of low-cost Avian-Meteorology-Instrument Packages (AvMIPs) for ensemble deployment in Birmingham as a suitably large and heterogeneous test case.\r\n\r\nThe AvMIPs were tested rigorously to determine: (i) data biases and reliability; (ii) sensor response to temperature variations; (iii) effect of radiation; and (iv) effect of bird's body temperature and other 'platform effects'. After quality assurance and control of the packages had been determined to be adequate, the primary targets of the AvMIP deployment were the thermal and moisture structures of the UBL at the city and neighbourhood scales. Favourable weather conditions for deployment will be identified via pre-deployment modelling using a mesoscale meteorological model (WRF, Weather Research and Forecasting). \r\n\r\nSubsequent analysis and interpretation of the AvMIP data and synthesis of the data together with Birmingham's canyon (3m) meteorological data were assisted by post-deployment modelling for the measurement periods.\r\n\r\nOverall, this project aimed to deliver a novel, and rigorously tested, technology for probing the UBL. A unique dataset for the UBL of a major European conurbation was obtained, elucidating climate mitigation issues such as the cooling (or heating) capability/capacity of a large park (or a city centre) to a city's UBL, and scientific issues such as the magnitude of the 'blending height' at which the effect of urban surface heterogeneity is no longer detectable.\r\n\r\nSuccess of the project was seen as a necessary step towards deployment of chemical sensors, and lead to generation of unprecedented datasets of the urban atmosphere for both research and city-planning purposes. Novel field deployments of the kind proposed by the project require strong partnerships with a wide variety of stakeholders. The Royal Pigeon Racing Association (RPRA) provide critical support in terms of birds that will behave in well determined ways. The RPRA have experience of mounting payloads on pigeons and so can ensure that payloads are appropriately in size, weight, etc., and that pigeon deployments delivered the data sought. Birmingham City Council supported the project in three ways: 1. As one of the principal end-users of the results (feeding into improved diagnosis and forecasting of urban climatology across the city through the joint city-university BUCCANEER project); 2. In order to facilitate use of birds in open urban spaces such as parks; and 3. In order to facilitate access to city buildings on which gulls are nesting. Dr Stefan Bodnar, an ecological consultant, supported the project by acting as principal bird handler and as a consultant for public dissemination of our work.\r\n \r\nObjectives\r\n\r\nTo directly address the data sparsity of meteorological measurements in the urban boundary layer (UBL), especially in the region above, but close to, building height, and to circumvent the regulatory issues related to use of Unmanned Aerial Systems, the project proposed developing and deploying instrument payloads on birds.\r\n\r\nThe project set out the following research questions, to be addressed by a series of objectives. RESEARCH QUESTIONS: \r\n(1) Can biotelemetry/bio-aerial-platforms be used to deliver observations of temperature, humidity and wind speed in the UBL with accuracy and precision sufficient for research?\r\n(2) Can the data derived from biotelemetry/bioaerial-platforms be used to inform the structure of the UBL at the city scale and the local IBLs at neighbourhood scales?\r\n(3) If so, what is the cooling (or heating) capability/capacity of a large park (or a city centre) to a city's UBL and what is the magnitude of the blending height? \r\n(4) How do such measurements compare to results derived from a numerical weather prediction (NWP) model?\r\n(5) What lessons can be learnt to assess the feasibility of other payloads (e.g. chemical sensors)? \r\n\r\nOBJECTIVES were: \r\na) To develop a suite of low-cost Avian-Meteorology-Instrument Packages (AvMIPs) (i) capable of sensing temperature (changes of at least 0.2 degree with a 1 sec response time) and humidity (changes of 5% with a 15 sec response time) and (ii) suitable for a range of bird taxa (raptors, pigeons, and gulls [Larus spp.]), with increasing deployment duration from mins to hours to days, respectively. \r\nb) To test AvMIPs rigorously in the following aspects: (i) data biases and reliability; (ii) responses to temperature variations; (iii) effect of radiation; and (iv) effect of bird's body temperature. \r\nc) To conduct pre-deployment modelling using a NWP model. This will be used to design a deployment plan. The robustness of this approach will ensure scales of interest (city and neighbourhood scales only), time of day (mainly daytime and early morning), and seasonality (both summer and winter) are all taken into account. \r\nd) To execute the deployment plan derived from c) in Birmingham for the favourable synoptic weather conditions for the ensemble AvMIP deployment. Post-deployment modelling will also be completed. \r\ne) To synthesise and analyse the AvMIP and BUCL data along with post-deployment modelling output, to identify the feasibility, reliability, applicability and benefits of the AvMIPs as an observational platform. Results from this analysis will be used to make recommendations and to scope the design of future biotelemetry/bio-aerial-platform payloads and deployment strategies.", "keywords": "urban meteorology", "status": "ongoing", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10894/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/33079/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146174/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146175/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146176/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146177/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146178/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148140/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146179/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146180/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146181/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146182/?format=api" ] }, { "ob_id": 32779, "uuid": "16a48b5339ab48cd97bb680388c5cddf", "title": "EUMETNET E-PROFILE", "abstract": "E-PROFILE is part of the EUMETNET Composite Observing System, EUCOS, managing the European networks of radar wind profilers (RWP) and automatic lidars and ceilometers (ALC) for the monitoring of vertical profiles of wind and aerosols including volcanic ash.\r\n \r\n\r\nE-PROFILE coordinates the measurements of vertical profiles of wind from radar wind profilers (vertically pointing Doppler radars) and weather radars from a network of locations across Europe and provides the data to the end users. The main goal is to improve the overall usability of wind profiler data for operational meteorology and to provide support and expertise to both profiler operators and end users.\r\nDue to technical advances of the last years ceilometers (automatic low cost lidars) provide nowadays not only cloud base height but also information on the vertical distribution of aerosols derived from the backscatter profile. To make available this new observation capacity E-PROFILE is developing a framework to produce and exchange profiles of attenuated backscatter profiles. Automatic lidars and ceilometers of stations across Europe are added to the operational network.", "keywords": "Europe, observations, network, ceilometers, wind profilers, lidars, vertical profiles, wind, aerosol backscatter", "status": "ongoing", "publicationState": "published", "identifier_set": [], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/34905/?format=api" ], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/33217/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146313/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146315/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146316/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146317/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146314/?format=api" ] }, { "ob_id": 32805, "uuid": "92dddf542adc44b5898f535be4179705", "title": "CCMI-2022 Chemistry-climate model initiative, phase 2", "abstract": "CCMI-2022 Chemistry-climate model initiative, phase 2 is a World Climate Research Programme (WCRP) Stratosphere-Troposphere Processes and their Role in Climate (SPARC) project to study the evolution of the ozone layer using chemistry-climate model simulations. CCMI-2022 data will support the World Meteorologcial Organisation (WMO)/ United Nations Environment Programme (UNEP) Scientific Assessment of Ozone Depletion Report 2022.", "keywords": "CCMI-2022", "status": "ongoing", "publicationState": "published", "identifier_set": [], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32820/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/33023/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/39373/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/39374/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/39375/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/39387/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/39388/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/39389/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/39463/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/39464/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/40190/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/40368/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146480/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146481/?format=api" ] }, { "ob_id": 32888, "uuid": "5f5f16cf7373468f802fa763c9a9c832", "title": "FUTURE-DRAINAGE: Ensemble climate change rainfall estimates for sustainable drainage", "abstract": "The FUTURE-DRAINAGE project aims to provide revised rainfall uplifts for urban drainage modelling using the latest UKCP high resolution climate projections and develop new guidance for urban drainage design and modelling surface water flooding in urban areas. The project is funded by NERC. NE/S016678/1", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146855/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146856/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146858/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146857/?format=api" ] }, { "ob_id": 32934, "uuid": "24186d13405b4000aef0ba577b9031aa", "title": "ESA Water Vapour Climate Change Initiative Project", "abstract": "The Water Vapour Climate Change Initiatve Project (Water_Vapour_cci) is part of the European Space Agency's Climate Change Initiative Programme. The project aims to generate new global high-quality climate data records of both total column and vertically resolved water vapour.", "keywords": "ESA, CCI, Permafrost", "status": "ongoing", "publicationState": "published", "identifier_set": [], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32072/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/34602/?format=api" ], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/11009/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147075/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147077/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147078/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147079/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147076/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147080/?format=api" ] }, { "ob_id": 33036, "uuid": "7d0499da1ae44223be8feaa7662f72ad", "title": "GOTHAM - Global Teleconnections in the Earth’s Climate System – Processes, Modelling and Advanced Analysis Methods ", "abstract": "GOTHAM represents an ambitious research program to gain robust, relevant and transferable knowledge of past and present day patterns and trends of regional climate extremes and variability of vulnerable areas identified by the IPCC, including the tropics and high-latitudes. It will achieve this by identifying the influence of remote drivers, or teleconnections, on regional climate variability, and assessing their relative impact. It will also assess the potential for improved season- decadal prediction using a combination of contemporary climate models, citizen-science computing and advanced statistical analysis tools. GOTHAM has the direct backing of many international weather and climate research centres, and will lead to the improved development of seasonal-decadal forecasts at the regional level. The improved knowledge and understanding of dynamical factors that influence regional weather and climate in the tropics/sub-tropics, and polar regions, will directly feed through to weather and climate forecast services to assist in their decisions on which priority areas of their model development to target in order to improve forecast skills. For example, GOTHAM will advise whether a model is missing or misrepresenting important global teleconnections that significantly influence regional climate in identified vulnerable regions. These impacts will be achieved through regular meetings with GOTHAM investigator groups and their extended collaborative networks, and extensive involvement in wider science and science-policy programmes with co- aligned strategies, such as the core projects within the WCRP. Improved seasonal to decadal scale forecasts will improve predictions of extreme events and natural hazard risks such as flooding that can have devastating impact on society. There is real potential for project results feeding through to impacts-related research, such as those involved in hydrological and flood forecast modeling, and these will be explored in liaison with identified partners in Asia and Europe.", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147505/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147506/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147507/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147508/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168964/?format=api" ] }, { "ob_id": 33044, "uuid": "112ad38f32dc4da4bdf137471ec5ac0f", "title": "SALDi", "abstract": "The South African Land Degradation Monitor (SALDi) supported the production of the Sub-meter resolution digital elevation models and orthomosaics of the Kruger National Park, South Africa, v1.0, September-October 2018 dataset archived at CEDA.\r\n\r\nThe SALDi project develops new approaches for the spatially explicit detection of land degradation in South Africa. The objectives of the Working Group on Soil Erosion within SALDi are:\r\n\r\n To improve the assessment of the extent of soil erosion in South Africa by means of current studies on the silting up of reservoirs.\r\n\r\n To evaluate the extent of soil erosion in relation to soil recharge rates.\r\n\r\n To improve the model-based estimation of soil erosion by water with a physically-based model.\r\n\r\n\r\nAgainst the background of widespread land degradation in South Africa, SALDi pursues the following remote sensing related objectives:\r\n\r\n Development of a permanent observation system (monitors) for ecosystem changes and degradation by satellite remote sensing.\r\n\r\n Modelling of the interactions of surface changes, weather and climate.\r\n\r\n Improvement of methods for the evaluation of soil degradation, especially soil erosion by water.\r\n\r\n Consideration of socio-economic dimensions and impacts of land degradation and evaluation of SALDi products by local actors.\r\n\r\n A main objective of TP1.3 is the development of high-resolution Spatio-temporal methods for the analysis of ecosystem changes using the latest Earth observation satellites (e.g. Sentinel-1), which serve as a basis for regional climate modelling (TP2) and synergistic intersection with other EO data (TP4). The Chair of Remote Sensing at FSU Jena has the task to analyze ecosystem changes and dynamics. The project will perform the following tasks:\r\n\r\n\r\na) Analysis of Spatio-temporal dynamics of surface moisture and mapping of vegetation structure (e.g. biomass)\r\nb) Validation of derived EO products (e.g. soil moisture) through terrain campaigns and cooperation with South African partners;\r\nc) Derivation of land degradation indicators through synergetic linking of optical and radar-based EO data.\r\n\r\nThe PI of the SALDi project is Jussi Baade and is funded by the Federal Ministry of Education and Research (BMBF) under BMBF funding code: South African Land Degradation Monitor (SALDi) (01LL1701A-A).", "keywords": "South Africa, Land, Soil Erosion", "status": "ongoing", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147579/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147580/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147629/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147630/?format=api" ] }, { "ob_id": 33048, "uuid": "d0ba79b25fc847868e7c09f88f57c6b7", "title": "ENSEMBLES project", "abstract": "The ENSEMBLES project is supported by the European Commission's 6th Framework Programme as a 5 year Integrated Project from 2004-2009 under the Thematic Sub-Priority \"Global Change and Ecosystems\".\r\n\r\nThe project aims to:\r\n\r\n * Develop an ensemble prediction system for climate change based on the principal state-of-the-art, high resolution, global and regional Earth System models developed in Europe, validated against quality controlled, high resolution gridded datasets for Europe, to produce for the first time, an objective probabilistic estimate of uncertainty in future climate at the seasonal to decadal and longer timescales\r\n * Quantify and reduce the uncertainty in the representation of physical, chemical, biological and human-related feedbacks in the Earth System (including water resource, land use, and air quality issues, and carbon cycle feedbacks)\r\n * Maximise the exploitation of the results by linking the outputs of the ensemble prediction system to a range of applications, including agriculture, health, food security, energy, water resources, insurance and weather risk management\r\n\r\nThe project is directed by Paul van der Linden and co-ordinated by John Mitchell, Director of Climate Science at the Met Office's Hadley Centre for Climate Prediction and Research.\r\n\r\nhttp://ensembles-eu.metoffice.com/index.html", "keywords": "ensembles, climate, europe, gridded", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/27836/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147595/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147597/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147598/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147596/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147599/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147600/?format=api" ] }, { "ob_id": 33069, "uuid": "b8d7a59f88834a4299a1786740591c19", "title": "Doctoral Training programmes: Cambridge", "abstract": "Cambridge CDT training programme.", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147706/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147707/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147709/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147708/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168970/?format=api" ] }, { "ob_id": 33113, "uuid": "e3d204fea8cf496a8b600ed61739d1a3", "title": "RiftVolc", "abstract": "This NERC funded project aims to research past and current volcanism and volcanic hazards in the central Main Ethiopian Rift.", "keywords": "NE/L013649/1", "status": "completed", "publicationState": "preview", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147868/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147869/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147870/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147871/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168973/?format=api" ] }, { "ob_id": 33119, "uuid": "e0fe7559b06e4f49baf9a3710e7ff5b3", "title": "EMSAfrica", "abstract": "EMSAfrica supported the production of the Sub-meter resolution digital elevation models and orthomosaics of the Kruger National Park, South Africa, v1.0, September-October 2018 dataset archived at CEDA.\r\n\r\nEMSAfrica is a collaborative research project between South Africa and Germany. The project brings together different scientific disciplines and approaches to understand the impacts of land use and climate change on the structure and function of South African terrestrial ecosystems. The data and products are used to develop and test models and produce information relevant to ecosystem management in the region. The project uses six observation sites in South Africa established by its predecessor project ARS Africa (2014-2018). These sites represent a climatic gradient and different land management types from peri-urban to grazed and protected, natural-like environments. To disentangle the impacts of land management from the impacts of climate, the sites are \"paired\" so that the managed sites are located as close as possible to a similar site in a natural-like environment. This way, observed differences between the sites are due to land use rather than climate. Each of the project work packages conducts different measurements on these sites. By working together and integrating our data, analyses and results, it becomes possible to build models on the Southern African vegetation patterns and carbon balance. Furthermore, the aim is to scale up this information into combined models that can be used to aid land-use decision making.\",\r\n\r\nThe PI for the EMSAfrica project is Steve Higgins and received funding from the Federal Ministry of Education and Research (BMBF) under grant_number: 01LL1801.", "keywords": "South Africa, Land, Soil Erosion", "status": "ongoing", "publicationState": "working", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147908/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147909/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147911/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147912/?format=api" ] }, { "ob_id": 33173, "uuid": "f4efc3cd88914cb0a957f7cffe7f894e", "title": "UK Status, Change and Projections of the Environment (UK-SCAPE)", "abstract": "Significant environmental challenges have been created by pressures on land use, air and soil quality, water and food security, and biodiversity. The UK-SCAPE programme will undertake research and provide national-scale data and models designed to deliver new integrated understanding of the environment to tackle those challenges. It will improve our understanding of the consequences of interventions in the UK landscape and allow researchers to answer high-level questions relating to the environment.", "keywords": "NE/R016429/1", "status": "ongoing", "publicationState": "preview", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148149/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148151/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148152/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168975/?format=api" ] }, { "ob_id": 33185, "uuid": "dbea2ea135f149acba3868e657e7d994", "title": "EUMETNET Sandbox", "abstract": "EUMETNET Sandbox project seeks to develop use of novel data sources (e.g. crowd sourced data) to improve operational weather forecasting capabilities.", "keywords": "", "status": "ongoing", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12469/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/33184/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/34905/?format=api" ], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/33217/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148192/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148193/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148211/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148297/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148274/?format=api" ] }, { "ob_id": 33217, "uuid": "7e6238d2ef5a4e76938c8e3029cc4e32", "title": "EUMETNET", "abstract": "EUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. These activities include observing systems, data processing, basic forecasting products, research and development and training.", "keywords": "", "status": "ongoing", "publicationState": "working", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/33185/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/32779/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148314/?format=api" ] }, { "ob_id": 33263, "uuid": "28ade693804346e69ecb071ef2517ba8", "title": "A-CURE: The Aerosol-Climate Uncertainty REduction Project", "abstract": "A-CURE tackles one of the most challenging and persistent problems in atmospheric science - to understand and quantify how changes in aerosol particles caused by human activities affect climate. Emissions of aerosol particles to the atmosphere through industrial activity, transport and combustion of waste have increased the amount of solar radiation reflected by the Earth, which has caused a cooling effect that partly counteracts the warming effect of greenhouse gases. The magnitude of the so-called aerosol radiative forcing is highly uncertain over the industrial period. According to the latest intergovernmental panel (IPCC) assessment, the global mean radiative forcing of climate caused by aerosol emissions over the industrial period lies between 0 and -2 W m-2 compared to a much better understood and tighter constrained forcing of 1.4 W m-2 to 2.2 W m-2 due to CO2 emissions. This large uncertainty has persisted through all IPCC assessments since 1996 and significantly limits our confidence in global climate change projections. The aerosol uncertainty therefore limits our ability to define strategies for reaching a 1.5 or 2oC target for global mean temperature increase.\r\n\r\nA-CURE aims to reduce the uncertainty in aerosol radiative forcing through the most comprehensive ever synthesis of aerosol, cloud and atmospheric radiation measurements combined with innovative ways to analyse global model uncertainty. The overall approach will be to produce a large set of model simulations that spans the uncertainty range of the model input parameters. Advanced statistical methods will then be used to generate essentially millions of model simulations that enable the full uncertainty of the model to be explored. The spread of these simulations will then be narrowed by comparing the simulated aerosols and clouds against extensive atmospheric measurements. \r\n\r\nFollowing A-CURE, improved estimates of aerosol forcing on regional and global scales will enable substantial improvements in our understanding of historical climate, climate sensitivity and climate projections. We will use the improved climate model with narrowed uncertainty to determine the implications for reaching either a 1.5 or 2oC target for global mean temperature increase.", "keywords": "aerosol, climate, atmosphere, emissions", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148479/?format=api" ] }, { "ob_id": 33359, "uuid": "4a831e324dfb4b418a17aeafb3bae9a3", "title": "ThermosphericCoolingWACCM-X", "abstract": "Studying the future drop in thermospheric densities under increasing carbon dioxide concentrations. The rationale behind this is to understand the impact on the future space debris environment in low earth orbit.", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148945/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148946/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148948/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148947/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168811/?format=api" ] }, { "ob_id": 33361, "uuid": "555149fdc3ef4e23a1de8ece93c29f5d", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci)", "abstract": "The land surface temperature (LST) CCI project, which is funded by the European Space Agency (ESA) as part of the Agency’s Climate Change Initiative (CCI) Programme, aims to deliver a significant improvement on the capability of current satellite LST data records to meet the challenging Global Climate Observing System (GCOS) requirements for climate applications to realise the full potential of long-term LST data for climate science.\r\n\r\nAccurate knowledge of LST plays a key role in describing the physics of land-surface processes at regional and global scales as they combine information on both the surface-atmosphere interactions and energy fluxes within the Earth Climate System. LST provides a metric of surface state when combined with vegetation parameters and soil moisture and is one of the drivers of vegetation phenology. Furthermore, LST is an independent temperature data set for quantifying climate change complementary to the near-surface air temperature ECV based on in situ measurements and reanalyses.\r\n\r\nThe team uses data from a variety of satellites to provide an accurate view of temperatures across land surfaces globally over the past +20 years. This involves developing innovative techniques to merge data from different satellites into combined long-term satellite records for climate. These will all be evaluated by scientists working at leading climate centres.", "keywords": "", "status": "ongoing", "publicationState": "published", "identifier_set": [], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/34871/?format=api" ], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/11009/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148953/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148954/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168066/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168067/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/170066/?format=api" ] }, { "ob_id": 33386, "uuid": "604a83c44a3b445bbdd37fc8b83cd655", "title": "Towards a UK Airborne Bioaerosol Climatology (BIOARC)", "abstract": "The BIOARC project will use existing measurement facilities on the NERC FAAM BAe-146 aircraft together with surface measurements to deliver vertical and horizontal concentration profiles of Primary Biological aerosols (PBA), or bioaerosols, over UK regions including urban, rural-cropland, grassland, forest & coastal. It will use aircraft bioaerosol sampling methodologies recently developed in the US together with real-time bioaerosol instruments. These data will provide the first such information on UK boundary layer concentration profiles of bioaerosol for over 50 years. High quality UK airborne data sets suitable for constraining & testing UK bio-emissions models for the first time.\r\nOur new vertically & horizontally resolved PBA-climate database will support a raft of scientific research and policy applications well beyond the timescale of the project. In situ PBA concentrations will be correlated with airborne meteorological, trace gas and other aerosol composition data, for air mass classification, using tools developed for the FAAM aircraft over many years for source tracking & identification. This will allow us to deliver quality controlled, assimilation-ready case studies able to constrain a wide range of potential PBA emissions models.\r\nBIOARC also conduct laboratory experiments to deliver UK specific bioaerosol reference data sets designed to improve interpretation of current and future PBA field data collected using real-time UVLIF bioaerosol instruments.\r\n\r\nGrant Ref: NE/S002049/1", "keywords": "BIOARC, clouds, aerosol, FAAM", "status": "ongoing", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10966/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/5782/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149063/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149064/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149065/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149062/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/176600/?format=api" ] }, { "ob_id": 33387, "uuid": "cae4407ba4b54b5384be4de263af9960", "title": "FAAM-EUMETSAT project", "abstract": "The aim of the FAAM-EUMETSAT project is to provide intercomparisons between EUMETSAT satellite data and in situ measurements from the FAAM BAe-146 aircraft.", "keywords": "FAAM-EUMETSAT, clouds, aerosol, FAAM", "status": "ongoing", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10968/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/36907/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149089/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149090/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149091/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149088/?format=api" ] }, { "ob_id": 33438, "uuid": "5703e081847a4aa88f640a9ff5f0fdb1", "title": "Radar Applications in Northern England (RAIN-E)", "abstract": "The Radar Applications in Northern England (RAIN-E) was a collaboration between the National Centre for Atmospheric Science (NCAS), the University of Leeds and the Environment Agency. The aim of the project was to collect high spatial and temporal resolution observations of precipitation over Cumbria and assess the benefits for flood forecasting. \r\n\r\nRAIN-E was funded by the Environment Agency.", "keywords": "NCAS, AMOF, EA", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149285/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149288/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149286/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149287/?format=api" ] }, { "ob_id": 33450, "uuid": "bcac810c563d45a898330179487b0947", "title": "Numerical weather prediction based event attribution (an ECMWF special project)", "abstract": "The aim of this project, which began in 2021, was to explore how operational weather forecast models could be used to examine the human influence in individual extreme weather events. There are several benefits that this approach might provide compared to conventional climate model based attribution:\r\n\r\n- The use of a forecast model that was demonstrably able to predict particular weather event in question means providing confidence that the model is able to simulate the key processes involved in the development of the event.\r\n- Similarly, the use of a forecast model ensures unequivocally that the event in question is being analysed, rather than a mixture of similar events that share a particular characteristic.\r\n- Some recent extreme weather events are so exceptional that there is little precedent in either the observational record or climate model simulations. Using forecast models that were able to predict such events provides a meaningful approach for studying these events.", "keywords": "", "status": "ongoing", "publicationState": "preview", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149402/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149400/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149399/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149403/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149401/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149404/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149405/?format=api" ] }, { "ob_id": 33646, "uuid": "d01791cfea204cd9ac502af45a6b7c5e", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI/JMA) contribution", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 contribution to the project by the Meteorological Research Institute of the Japan Meteorological Agency (MRI/JMA) team.", "keywords": "WCRP, CMIP6, MRI", "status": "ongoing", "publicationState": "published", "identifier_set": [], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/33649/?format=api" ], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/28079/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/150339/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/150340/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/150341/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/150343/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/150344/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/150342/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/167721/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/167722/?format=api" ] }, { "ob_id": 34562, "uuid": "bcf59bd6bed14a5b9ec618a8e235127e", "title": "WCRP CMIP6: Korea Institute of Ocean Science and Technology (KIOST) contribution", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 contribution to the project by the Korea Institute of Ocean Science and Technology (KIOST) team.", "keywords": "WCRP, CMIP6, KIOST", "status": "ongoing", "publicationState": "published", "identifier_set": [], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/34565/?format=api" ], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/28079/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/163984/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/163985/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/163986/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/163988/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/163989/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/163987/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164747/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164748/?format=api" ] }, { "ob_id": 34579, "uuid": "1e1dd10fb25a4e4e82cd36b24f4063a6", "title": "WCRP CMIP6: Chinese Academy of Meteorological Sciences (CAMS) contribution", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 contribution to the project by the Chinese Academy of Meteorological Sciences (CAMS) team.", "keywords": "WCRP, CMIP6, CAMS", "status": "ongoing", "publicationState": "published", "identifier_set": [], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/34582/?format=api" ], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/28079/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164073/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164074/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164075/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164077/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164078/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164076/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164483/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164484/?format=api" ] }, { "ob_id": 34648, "uuid": "ac4e0e51574a4488a1cad653cea9de5c", "title": "ESA Methane+ project", "abstract": "The ESA Methane+ project aims at exploiting the Short Wave Infrared (SWIR) and Thermal Infrared (TIR) \r\n mthane (CH4) observations from different satellites in order to better differentiate between sources and sinks of CH4 on the regional and global scale. For this it uses the CH4 observations of TROPOMI on Copernicus Sentinel-5p, IASI on MetOp-B, and CrIS on Suomi NPP in combination with atmospheric inversion models.\r\n\r\nESA Contract No. 4000129987/20/I-DT Methane+.", "keywords": "", "status": "", "publicationState": "", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164407/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164408/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164409/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164420/?format=api" ] }, { "ob_id": 34652, "uuid": "21b754bf95a848a686f1acefebf00b08", "title": "TRIATLAS: Tropical and South Atlantic climate-based marine ecosystem predictions for sustainable management", "abstract": "Main Objective: To assess the status of the South and Tropical Atlantic marine ecosystem and develop a framework for predicting its future changes, from months to decades, by combining ecosystem observations, climate-based ecosystem prediction and information on future socio-economic and ecosystem service changes, and thus to contribute to the sustainable management of human activities in the Atlantic Ocean as a whole.\r\n\r\nTRIATLAS has the following specific objectives (SO):\r\nSO1 – To enhance knowledge of the present state and seasonal dynamics of the Atlantic marine ecosystem across several trophic levels, through scientifically integrating and extending the physical and biological observing system in key areas of the South and Tropical Atlantic (Core Theme 1; CT1).\r\nSO2 – To quantify the drivers at interannual to decadal time scale in the Atlantic marine ecosystem, and the potential for tipping point behavior and regime shifts, by using observations and numerical (earth system, ocean, and marine ecosystem) model simulations to examine the interactions between different stressors (including climate variability, extremes, and change, as well as fisheries and pollution) and the role of cumulative impacts on ecosystem functioning and associated ecosystem services (CT2).\r\nSO3 – To combine state-of-the-art climate prediction and ecosystem models to improve forecasting capabilities of physical stressors, tipping points, recovery and changes in ecosystem state of the South and Tropical Atlantic from months to decades (CT3)\r\nSO4 – To contribute to improving the sustainable exploitation of Atlantic marine resources by developing scenarios combining climate based ecosystem predictions with Shared Socioeconomic Pathways (SSP), by conducting socioeconomic vulnerability assessments services, with stakeholder engagement and by analysing new value chains (CT4)\r\nSO5 – To enhance capacity in marine ecosystems, oceanography, and climate research in countries bordering the South and Tropical Atlantic Ocean, so as to increase the region’s ability for managing human activities and sustainable development in the Atlantic Ocean (CT4).\r\nSO6 – To ensure that activities are carried out both: 1) in close cooperation and alignment with relevant European Commission services (DG R&I) and the South-South Framework for Scientific and Technical Cooperation in the South and Tropical Atlantic and Southern Ocean; and 2) in coordination with other relevant projects and programmes in the field. This is to ensure coherence with related policy initiatives and to contribute to upscale cooperation along and across the Atlantic Ocean as a whole (CT4).", "keywords": "", "status": "", "publicationState": "preview", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164417/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164418/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164419/?format=api" ] }, { "ob_id": 34719, "uuid": "2a655b0551434bc8a4dfb8ef02f94a8b", "title": "Optimising air quality and health benefits associated with a low-emission transport and mobility revolution in the UK", "abstract": "The Government's 'Future of Mobility' and 'Road to Zero' strategies outline a second UK transport revolution, characterised by rapid decarbonisation, increased automation and enhanced connectivity. This radical transformation presents both opportunities and challenges for improving air quality over the next two decades, occurring in the context of disruptive changes in transport technology, increasing public environmental awareness and evolving transport behaviours. In this context, actions taken during the emerging transition phase will influence air pollutant sources and exposure patterns across indoor (i.e. vehicle, rail/bus) and outdoor (i.e. pavement, platform, bus station) land transport environments, with profound future implications for public health. This project will establish a diverse interdisciplinary network, connecting researchers across nine UK higher education and research institutions with >20 network partners, comprising commercial, public sector and non-profit organisations. It will establish sustainable connections to undertake co-definition of issues and opportunities and co-delivery of innovative, evidence-based solutions. It will deliver a varied portfolio of network activities including TRANSITION summits, problem-solving workshops, hackathons, discovery studies, site visits, policy engagement events and creative outreach activities at transport locations. Thus directly shaping future air quality, climate and transport policy, reflecting the ambitions of the UKRI SPF Clean Air Analysis and Solutions programme. \r\n\r\nThe TRANSITION network will identify, prioritise and tackle indoor and outdoor air quality challenges linked to the UK low-emission mobility revolution by bringing together academics, researchers, policymakers, business, civil society and the wider general public. The project will further the aims of the UKRI SPF Clean Air programme by: \r\n* Informing implementation of the Government's Clean Air, Future of Mobility, Road to Zero Strategies, Transport Decarbonisation Plan and other policy domains with cross-cutting implications for achieving UK objectives for air quality, climate change and public health. \r\n* Mobilising and transferring existing knowledge from across the UK land transport stakeholder community, SPF Clean Air programmes (including Clean Air Network communities), Clean Air Champions and policymaking arenas, at local, national and international levels. \r\n* Establishing a framework for generating and sharing knowledge, tools and technologies necessary to achieve transformational change across the land transport network; to achieve improved air quality, energy security and enhanced connectivity, for health and societal benefit \r\nThe project aims to: \r\n-Establish a network of experts with complimentary expertise across a range of specialist areas, geographical locations, career stages, and experience levels.\r\n-Facilitate focused, productive and sustainable interactions between a diverse stakeholder community \r\n-Create a shared learning environment spanning academia, industry, and policy communities, to organise and disseminate air quality knowledge and best practice \r\n-Provide a forum for supporting development of the next generation of researchers in the field of indoor and outdoor air quality, transport and public health. \r\n-Promote the development of professional skills in practice, research, consultancy and teaching/training related to the transport environment \r\n-Generate opportunities for creative industry-led innovation activities to co-deliver solutions, translate knowledge from other fields and/or change existing practise. \r\n-Connect existing research activities and outputs and identify gaps in scientific knowledge and policy translation to inform future UKRI Clean Air strategic focus.\r\n-Explore the interactions between air pollution and mobility and the synergies, co-benefits and potential conflicts between air quality, transport other public policies \r\n-Interact synergistically with other clean air research, engagement and innovation activities, identifying coordinated initiatives and linking nationally and internationally to related opportunities. \r\n-Generate a sustainable clean air legacy through sharing best practice and supporting translational and impact activities among project partners \r\nThis will be the first time that such a network at the intersection between air quality, transport and health has been established; occurring at a critical point for achieving a sustainable future in the context of climate change, demographic shift and rapid technology revolution. TRANSITION has significant potential to achieve significant multisectoral impacts across academic, commercial, policy communities, alongside increasing knowledge and awareness of clean air and low-emission science among the wider general public. The dynamic, flexible and responsive TRANSITION consortium will thereby provide a focal point for sustained coordination, dialogue and interaction, beyond the project lifetime. The guiding network principles will embrace diversity, encourage creativity, support career development and seek to establish consensus on research, commercial and policy priorities, whilst enhancing opportunities for uptake and impact. Adherence to these principles is critically important to achieve our stated objectives, operating within a frontier challenge environment and to deliver impacts at regional, national, international levels, across all sectors", "keywords": "TRANSITION", "status": "ongoing", "publicationState": "preview", "identifier_set": [], "observationCollection": [], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/32578/?format=api", "subProject": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/37139/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169029/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169030/?format=api" ] }, { "ob_id": 34899, "uuid": "ecd43b5f9bbb4b88aa99706ee83ba02c", "title": "iCASE PhD studentship with the UK Met Office: Processes determining stratospheric water vapour", "abstract": "The co-operating partners in this project will be the University of Cambridge and the Met Office. Improving simulation of stratospheric water vapour remains a challenge for Earth System Models that are used for climate prediction. There are strong links between the water vapour distribution in the lower stratosphere and the tropopause temperatures which in turn determine water vapour, so positive feedbacks are possible that may significantly enhance the effects of modest errors in model representation of other relevant processes. The project will build on recent work in Cambridge and elsewhere that (a) has exploited trajectory techniques to examine the annual, interannual and longer-term links between tropopause temperatures and stratospheric water vapour and (b) has investigated the radiative coupling between water vapour and temperatures in the tropical tropopause region using a combination of offline radiative calculations and simple dynamical models. The focus of the project will be to analyse the variations of water vapour on monthly, annual, interannual and longer timescales simulated by the Met Office Unified Model (UM) and link these to the corresponding temperature and transport variations. (One component of this analysis would be use of a trajectory code which is already available for the UM.) The results will be compared against corresponding analysis of the recent history of the real atmosphere (some of which is already on record in scientific publications). In its later stages the project will consider the two-way coupling between tropical tropopause temperatures and water vapour concentrations in the UM and assess the possible implications for model predictions of long-term changes in these quantities. During visits to the Met Office the student will investigate these processes in long historical and scenario simulations of the new UKESM1 earth system model that will support future climate and ozone assessments.\r\nThe work in the studentship project will provide an opportunity for the student to make a contribution in a scientific area that is both of fundamental interest and of real practical interest to the Met Office earth-system modelling effort. TRAINING", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169702/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169703/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169705/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169704/?format=api" ] }, { "ob_id": 36840, "uuid": "78e2ae0d7a044cb3a50cebdf617f8189", "title": "NE/K012444/1: Exploiting multi-wavelength radar Doppler spectra to characterise the microphysics of ice hydrometeors", "abstract": "The formation of ice particles in cold clouds is a vital component of the hydrological cycle. These particles redistribute water in the troposphere, as well as reflecting and absorbing visible and infrared light. Recent studies have shown that the evolution of these particles and the way in which they are distributed throughout a cloud layer is important if we are going to correctly simulate the earth's present and future climate. This evolution and distribution is a subject of considerable uncertainty however.\r\n\r\nRemote-sensing techniques such as radar are a powerful tool to probe the ice particles in natural clouds. The small amount of power reflected back to the radar by the ice particles contains information on the mass, shape and dimensions of the particles, while changes in the phase of the reflected wave contain information on how fast those particles fall (the Doppler spectrum).\r\n\r\nIn this project we will develop a new technique to derive the properties of ice particles from radar measurements at 3 different wavelengths. While in the past many assumptions would need to be made a-priori when interpreting the radar data, the extra information content of the full Doppler spectrum at 3 wavelengths allows us to straightforwardly resolve these uncertainties.\r\n\r\nOnce the technique has been developed, we can derive the microphysical properties of the cloud, such as the distribution of ice particles with size, the relationship between a particle's mass and its size, and how fast the particles fall as a function of their size. This information is key to the accurate representation of clouds and precipitation in numerical weather prediction and climate models, and the results will be used to validate/improve those models, in collaboration with the Met Office.\r\n\r\nWe can also use the microphysical information to develop an improved understanding of the mechanisms by which ice particles grow and evolve in clouds, and use this to constrain currently-unknown parameters such as the aggregation efficiency ('stickiness') of natural ice crystals.\r\n\r\nObjectives: The aim of this proposal is to use Doppler radar measurements at 3 wavelengths to measure the characteristics of ice particles in clouds with greater accuracy than has previously been possible, and to use those measurements to understand how the ice particles evolve within a cloud layer. Specifically, we will:\r\n\r\nDevelop a new technique to probe the microphysics of ice clouds, exploiting the information content in multiwavelength radar Doppler spectra\r\n\r\nMeasure the size spectrum of ice particles in clouds\r\n\r\nDetermine the relationship between particle mass, particle fall speed and particle size in clouds\r\n\r\nValidate microwave scattering models of ice particles\r\n\r\nTest the realism of ice microphysics parameterisations in numerical weather prediction and climate models\r\n\r\nTest the a-priori assumptions which underpin simpler single- and dual-wavelength radar techniques\r\n\r\nInvestigate the evolution of ice particles as they grow and fall in clouds, and constrain their growth rates.", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12060/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/176364/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/176365/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/176367/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/176366/?format=api" ] }, { "ob_id": 36908, "uuid": "01021a90c0c2481c909bdb145cb72398", "title": "Arctic Cold Air Outbreak (ACAO) - FAAM Aircraft Project", "abstract": "The Arctic Cold Air Outbreak (ACAO) airborne field campaign was undertaken by the Met Office using the FAAM BAe-146 aircraft in March 2022 operating out of Kiruna, Sweden. \r\n\r\nIn addition to the Met Office, scientists from the Universities of Manchester and Leeds participated in the campaign to make novel in-situ airborne measurements of the evolution of cold-air outbreaks (CAOs), in terms of the meteorology, atmospheric composition and clouds, from the Marginal Ice Zone (MIZ) to Scandinavia.\r\n\r\nRepresenting the processes important for the formation and evolution of these mixed-phase clouds in models is extremely challenging, yet acutely important for the radiation budget of mid- and high-latitude clouds. Close co-ordination between ACAO flights and four other research aircraft that are scheduled to operate in the region at the same time, with complimentary scientific objectives, facilitated a unique opportunity to collect a more comprehensive dataset. This will be used to evaluate and develop improvements to the representation of mixed-phase clouds in the Unified Model that is used by the Met Office for operational Numerical Weather Prediction and climate simulations.", "keywords": "ACAO, FAAM, Met Office", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12067/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/36911/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/176582/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/176583/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/213042/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/213043/?format=api" ] }, { "ob_id": 36936, "uuid": "1902424734d44d738b28889a53fed708", "title": "EUMETSAT FAAM Aircraft Project", "abstract": "The EUMETSAT project utilised the FAAM aircraft. Further details to follow.", "keywords": " EUMETSAT, FAAM, Met Office", "status": "completed", "publicationState": "working", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12068/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/36939/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/176697/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/176698/?format=api" ] }, { "ob_id": 37021, "uuid": "35a5a43ae2fa4289af0a3e5e2ca92a5a", "title": "MOSAiC:The Multidisciplinary drifting Observatory for the Study of Arctic Climate", "abstract": "The Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) initiative was a major international programme motivated by the rapid changes in Arctic climate observed over the last few decades. This is driven by an accelerated rise in the mean temperature of the Arctic; which is warming at 2-3 times the mean global rate. The most visible change is the dramatic reduction in sea ice extent, particularly of the summer minimum, which is decreasing at a rate of 13% per decade.\r\n\r\nThese rapid changes are the result of a combination of feedback processes - the best known is the ice albedo feedback, whereby the loss of ice exposes the land or sea surface beneath, lowering the area mean albedo and allowing more solar radiation to be absorbed, which warms the surface and enhances ice melt. Other feedbacks relate to the vertical profiles of atmospheric temperature and humidity, cloud properties, and large-scale atmospheric circulation.\r\n\r\nWhile climate models also show enhanced warming in the Arctic, they do not reproduce many of the observed details of the change; for example they do not reproduce the very rapid decline in the summer sea ice minimum observed over the last 10 years, and there are big differences between models. This has a significant impact on our ability to predict the future state of climate system. Poor model performance results from multiple leading-order deficiencies in their representation of physical processes in the Arctic system. MOSAiC aims to address these through a large-scale coordinated approach, making simultaneous measurements of the many interdependent processes relevant to climate over a full calendar year. This approach is necessary because of the strong linkages and feedbacks between different parts of the Arctic climate system and the strong seasonality in many processes. \r\nThe MOSAiC Boundary layer is a Natural Environment Research Council (NERC, grant: NE/S002472/1) funded contribution to this international project focused on measurements of atmospheric boundary layer dynamics and turbulent structure. This observational campaign took place on, and around, the icebreaker Polarstern, which was frozen in at the edge of the pack ice at the end of the summer melt. This provided ready access to both multi-year ice within the pack and to freshly forming ice just outside it. Measurements were made of all components of the surface energy budget on both the upper and lower sides of the ice, along with ice thickness, temperature, physical properties, topography, and deformation over time. The processes controlling the energy budget, including synoptic-scale forcing, cloud properties, turbulent mixing, and the interactions between them, will be studied in detail.\r\n\r\nGrantRef: NE/S002472/1", "keywords": "Arctic", "status": "ongoing", "publicationState": "published", "identifier_set": [], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/39477/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177040/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177041/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177042/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192551/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192552/?format=api" ] }, { "ob_id": 37051, "uuid": "295469c1e48d44aeae896ff34b684b24", "title": "Characterization of major overburden leakage pathways above sub-seafloor CO2 storage reservoirs in the North Sea (CHIMNEY)", "abstract": "Academics from the University of Southampton, the University of Edinburgh, and the National Oceanography Centre (NOC) worked together to understand more about the hazards involved in the storage of CO2 in depleted oil and gas reservoirs and saline aquifers in the North Sea. Carbon Capture and Storage (CCS) is recognised as an important way of reducing the amount of CO2 added to the atmosphere, and oil and gas reservoirs and saline aquifers are the preferred storage location of most European nations. However, the safety of such storage is dependent on fully exploring the risks of any leakage. The four-year CHIMNEY project developed better techniques to locate these sub-sea floor structures and determine the permeability of the pathways so that they can be better constrained and quantified. The team worked closely with GEOMAR, in Germany; the Lawrence Berkeley National Laboratory, in California; CGG, in the UK; and Applied Acoustics, in the UK. The project was funded by the Natural Environment Research Council (NERC) under grant reference NE/N016130/1. The project is complementary to the EU-funded Horizon 2020 project 'Strategies for Environmental Monitoring of Marine Carbon Capture and Storage' (STEMM-CCS).", "keywords": "carbon capture, carbon storage", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/37081/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177146/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177145/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177600/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/178003/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/178004/?format=api" ] }, { "ob_id": 37088, "uuid": "0a5a1ce22fb047749e040879efa8e9b5", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)", "abstract": "SNAPSI is a model intercomparison protocol designed to study the role of the Arctic and Antarctic stratospheric polar vortices in sub-seasonal to seasonal forecast models. Based on a set of controlled, sub-seasonal, ensemble forecasts of three recent events, the protocol aims to address four main scientific goals. \r\nFirst, to quantify the impact of improved stratospheric forecasts on near-surface forecast skill. \r\nSecond, to attribute specific extreme events to stratospheric variability. \r\nThird, to assess the mechanisms by which the stratosphere influences the troposphere in the forecast models, \r\nand fourth, to investigate the wave processes that lead to the stratospheric anomalies themselves. \r\nAlthough not a primary focus, the experiments are furthermore expected to shed light on coupling between the tropical stratosphere and troposphere. \r\nThe output requested will allow for a more detailed, process-based community analysis than has been possible with existing databases of sub-seasonal forecasts.", "keywords": "stratosphere, arctic, antarctic, stratospheric polar vortex, SNAPSI, SNAP, APARC", "status": "ongoing", "publicationState": "published", "identifier_set": [], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/39704/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/40201/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/40209/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/40217/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/40225/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/40379/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/40380/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/40381/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/40392/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/41083/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177282/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177283/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177284/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177579/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177580/?format=api" ] }, { "ob_id": 37113, "uuid": "ea3f2052993b4a63909b3f706c074926", "title": "Characterising and Interpreting FLuxes Over Sea Ice (CANDIFLOS)", "abstract": "CANDIFLOS is a data analysis project drawing upon data from multiple field campaigns. It aims to improve the parameterization of surface fluxes over sea ice. It includes analysis of surface fluxes data collected for Arctic Clouds Summer Experiment (ACSE) project (2014) and the AO2016 project (2016) both conducted on icebreaker Oden. More extensive ACSE cruise data are archived at CEDA (www.ceda.ac.uk) and as part of the large SWERUS-C3 project at the Bolin Centre for Climate Research (bolin.su.se/data/?s=SWERUS-C3), and the complete AO2016 cruise data are archived at the Bolin Centre for Climate Research : bolin.su.se/data/?s=AO2016.\r\n\r\nGrant Ref: NE/S000690/1", "keywords": "Arctic Clouds Summer Experiment, Sea Ice, Turbulent Flues", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177395/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177396/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177398/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177397/?format=api" ] }, { "ob_id": 37139, "uuid": "64c78e191b7e434385d01850ee753e4f", "title": "Transition Air Quality - Minimising Public Exposure at the Roadside", "abstract": "A newly emerging air quality and public health challenge comes from exposure to high, momentary peaks of air pollution which arise from vehicles stop-start manoeuvres and accelerations, typical of congested urban areas. Roadside air quality instrumentation does not routinely measure these events, and the health implications – especially for vulnerable groups (e.g. children, the elderly) who use streets and public transport more frequently – remain unknown. While literature is starting to discuss the weaknesses of the “point-fixed/uniform exposure” approach, there is a clear necessity of building up data to support specific air quality and medical research.\r\n\r\nLeveraging years of experience on emissions, and Computational Fluid Dynamics (CFD) modelling, Oxford Brookes University have developed a new ultra-high definition 3-Dimensional CFD urban model, capable of: predicting the complex dynamics of pollutants dispersion from moving traffic; and quantifying actual exposure for the public occupying the space. The model is computationally demanding, but offers a vast accuracy advantage compared to other approaches (e.g. Gaussian Plume Models) for application in dense urban environments.\r\n\r\nThis project aims to: increase the technical capabilities of the Oxford Brookes University model; perform its validation using purposely-collected field data; and carry out a case study on bus stop shelters, to assess the effective protection they may offer from short-term peak concentrations of air pollution. This was funded by UKRI grant NE/V002449/1 https://transition-air.org.uk/research/", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/34719/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177523/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177524/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177525/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177526/?format=api" ] }, { "ob_id": 37246, "uuid": "66e23b2041744038b08c5f6c2001e584", "title": "Multi-temporal assessment of diversity and condition in UK semi-natural grasslands using optical reflectance.", "abstract": "Rachael Thornley's PhD project based at the SCENARIO DTP at the University of Reading. The work aims to understand whether it is feasible to determine grassland species diversity and condition using reflectance data at varying spatial resolutions over time. NE/L002566/1", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177989/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177990/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177992/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/178002/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177991/?format=api" ] }, { "ob_id": 37321, "uuid": "28a1bf83af6f4457afdee853cf946ec7", "title": "Invisible Tracks", "abstract": "Cloud reflectivity is sensitive to atmospheric aerosol concentrations because aerosols provide the condensation nuclei on which water condenses. Increased aerosol concentrations due to human activity affect droplet number concentration, liquid water and cloud fraction, but these changes are subject to large uncertainties. Ship tracks, long lines of polluted clouds that are visible in satellite images, are one of the main tools for quantifying aerosol-cloud-interactions. However, only a small fraction of the clouds polluted by shipping show ship tracks.The invisible tracks project is developing a new method to quantify the effect of shipping on all clouds, showing a significant cloud droplet number increase and a more positive liquid water response when there are no visible tracks.\r\n\r\nThis project was funded by the EC. Grant no: 860100", "keywords": "", "status": "", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/178294/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/178295/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/178296/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/178406/?format=api" ] }, { "ob_id": 37356, "uuid": "93ded775bdc54529b451dd5e84882527", "title": "UK and China Research and Innovation Partnership Fund, Met Office Climate Science for Service Partnership (CSSP) China (part of the Newton Fund).", "abstract": "The Climate Science for Service Partnership China is a collaborative climate science initiative between research institutes in the UK and China. Launched in 2014, the Climate Science for Service Partnership China (CSSP China) is a project stimulating scientific collaboration between research institutes in the UK and China. It focuses on producing world-leading scientific research that is fundamental to the development of climate services that support climate-resilient economic development and social welfare around the world. The project is working to enhance collaborative research by supporting the UK climate science community in their work with Chinese research institutes. The CSSP China project is part of our Weather and Climate Science for Service Partnership (WCSSP) programme, supported by the UK Government’s Newton Fund. Through CSSP China, we are developing strong scientific partnerships between the Met Office, the China Meteorological Administration, the Institute of Atmospheric Physics at the Chinese Academy of Sciences, and other key institutes in China and the UK. \n\nUK partners include: ARUP, Institute of Environmental Analytics, Imperial College London, National Centre for Atmospheric Science Reading, Science & Technology Facilities Council, UK Centre for Ecology and Hydrology, University of Birmingham, University of East Anglia , University of Edinburgh, University of Exeter, University of Leeds, University of Leicester, University of Oxford, University of Reading.\n\nThe project has published over 400 peer reviewed studies with many generated jointly by UK and Chinese scientists. In May 2021, a project overview paper was published in the Bulletin of the American Meteorological Society. The paper presents highlights from the first six years of the project and was led by project science leads at the Met Office in collaboration with the China Meteorological Administration and the Institute of Atmospheric Physics.\n\nFind out more: Scaife et al., 2021, Bulletin of the American Meteorological Society\n\nAdditionally, two special issues of the project have been published so far:\n\nAdvances in Atmospheric Sciences journal, 2018 \nThe Journal of Meteorological Research, 2020\n\nYou can find a full list of CSSP China research publications on the VIEWpoint CSSP China website.", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/178451/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/178452/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/178453/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/178454/?format=api" ] }, { "ob_id": 37372, "uuid": "9ddc2779139d4e0f91dd33fd224e36ab", "title": "Digitisation of Daily Meteorological Observations 1896-1917 at Halkali Agricultural School (Istanbul, Turkey)", "abstract": "Daily weather observations measured by students and staff at Halkali Agricultural School (a school opened in 1892 for agriculture and animal husbandry during the Ottoman period) from 1896 to 1917 in Istanbul, Turkey have been transcribed from the original publications into digital form and translated from Ottoman Turkish (the Perso-Arabic script) to English (Latin alphabet). Over 55 thousand observations of daily maximum, minimum and average temperature, rainfall, soil and under soil (0.25m) temperature, humidity, pressure, and wind speed were recovered.", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/178540/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/178541/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/178542/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/178543/?format=api" ] }, { "ob_id": 37441, "uuid": "6d7971a92d154bb29af3167dfb6f5a7e", "title": "M-PHASE - Resolving climate sensitivity associated with shallow mixed phase cloud in the oceanic mid- to high latitudes - FAAM Aircraft Project", "abstract": "The overarching objective of M-Phase is to reduce the uncertainty in how mixed-phase clouds will respond to changes in climate, and thereby reduce uncertainty in climate sensitivity. This will be achieved by improving our understanding of the physical processes that determine the properties of mixed-phase clouds and their response to climate drivers (sea-surface temperatures and aerosols). The project will address the following objectives:\r\n\r\n1) Experimentally define the relationship between aerosol, dynamics, and mixed-phase cloud radiative properties in the climatically critical mid-to high-latitudes.\r\n\r\n2) Define high-latitude ice-nucleating particle (INP)concentrations and sources across the northern hemisphere.\r\n\r\n3) Determine the response of mixed-phase cloud systems to SST and INP in order to estimate cloud responses to changing environmental conditions on a regional basis.\r\n \r\n4) Use the improved models of cloud microphysics as well as INP to extend the analysis of mixed-phase cloud properties to other regions of the world.\r\n\r\nThe M-PHASE project will use the FAAM aircraft to study cold-air outbreaks (CAOs), a frequent source of mixed-phase clouds, which offer the opportunity to study the physical processes that control the formation and evolution of cloud systems in a relatively well-defined flow.", "keywords": "M-PHASE, FAAM, Met Office", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12143/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/37444/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/178825/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/178826/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/213039/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/213065/?format=api" ] }, { "ob_id": 37501, "uuid": "3c72b5d38e9a499ead03e9e5f140972d", "title": "WesCon: Wessex Convection experiment", "abstract": "WesCon was a UK summer convection experiment in 2023 funded by the Met Office. It focused on understanding dynamical aspects of convection to provide observational data to develop next generation km scale and urban-scale models to improve prediction of convective storms in km scale Numerical Weather Prediction (NWP) and climate models.\r\n\r\nThe emphasis of WesCon was understanding of dynamical processes (particularly updrafts and turbulence) and their interaction with other processes of importance. \r\n\r\nThe project involved the use of the FAAM Bae-146 aircraft, the Jade-Dimona aircraft and groundbased instruments at Cardington, Netheravon, and nearby ground sites. This project ran in conjunction with WOEST: WesCon - Observing the Evolving Structures of Turbulence project involving groundbased, sonde and radar observations. Both WesCon and WOEST were part of the wider ParaChute programme.\r\n\r\nThe Wessex Convection experiment (WesCon) took place from during summer 2023", "keywords": "WESCON, FAAM, Met Office", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12144/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/37504/?format=api" ], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/44236/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179067/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179068/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211705/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211706/?format=api" ] }, { "ob_id": 37577, "uuid": "8032b04a93634de883b6e0a2eba6df14", "title": "Tracking Aviation and Shipping Impacts on Clouds", "abstract": "The Tracking Aviation and Shipping Impacts on Clouds (TASIC) project uses aircraft and ship emissions as \"natural experiments\" into aerosol impacts on cloud processes, using a range of observational data, global and regional atmospheric models. \r\n\r\nThis project was undertaken as part of a Royal Society University Research Fellowship (URF/R1/191602).", "keywords": "TASIC", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179347/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179348/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179349/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179350/?format=api" ] }, { "ob_id": 37624, "uuid": "499d381a047140cf84798a36a8d3d65d", "title": "Marine dispersal and retention in the western Indian Ocean", "abstract": "Ocean currents transport many particulates throughout the ocean, from larvae to pollutants. Understanding these transport pathways, and their variability, is essential for many applications, such as marine conservation and pollution attribution. However, many types of particulates are too small to be tracked directly. This project is a numerical model-based investigation of marine dispersal in the western Indian Ocean, one of the least-studied parts of the global ocean. It specifically looked at two applications of marine dispersal: marine plastics accumulating at remote islands, and coral reef connectivity. To predict the sources of debris (both terrestrial and marine in origin) accumulating at remote western Indian Ocean islands, large-scale Lagrangian analyses were carried out incorporating beaching, sinking, and the effects of ocean currents, winds, and waves. The raw data from these Lagrangian analyses are archived here, from which source analyses can be carried out for various parameters using the associated scripts. To assess the connectivity of coral reefs across the southwestern Indian Ocean, we firstly ran a high (c. 2 km) resolution ocean simulation in a 28-year realistic, and 10-year climatological, configurations. The model output is available here in full, including high (30 minute) temporal resolution surface velocities. Daily Lagrangian larval dispersal simulations from all reefs in the southwestern Indian Ocean from 1993-2020 were also carried out. The raw output is archived here, and can be converted into larval fluxes (incorporating biological parameters such as mortality and competency) with the associated scripts. This work was funded by NERC Doctoral Training Partnership in Environmental Research grant NE/S007474/1 awarded to Noam Vogt-Vincent.", "keywords": "Indian Ocean, ocean current, surface velocity, temperature, salinity, ocean model, CROCO, dispersal, coral reef", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/37629/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179536/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179537/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179538/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182372/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179539/?format=api" ] }, { "ob_id": 37664, "uuid": "d29366fbf94e48df99d9a235d11c21ee", "title": "PRE-MELT: Preconditioning the trigger for rapid Arctic ice melt", "abstract": "The oldest, thickest sea ice in the 'last ice area' of the Arctic - a region thought to be most resilient to climate warming - unexpectedly broke up twice in the past year. Our current theories assume that the end-of-summer ice-covered area will steadily retreat into the Central Arctic Basin as global warming accelerates over coming decades. However, the dynamic break-up events witnessed in 2018 challenge this prevailing view. Here we hypothesise that a weaker, increasingly mobile Central Arctic ice pack is now susceptible to dynamic episodes of fragmentation which can precondition the ice for rapid summer melt. This mechanism of dynamic seasonal preconditioning is unaccounted for in global climate models, so our best current projections are overlooking the possibility for rapid disintegration of the Arctic's last ice area. Our team has demonstrated that seasonal preconditioning is already responsible for the neighbouring Beaufort Sea becoming ice-free twice in the past five years. Even ten years ago this region contained thick perennial sea ice, mirroring the Central Arctic Ocean, but it has now transitioned to a marginal Arctic sea. Could the processes responsible for the decline of the Beaufort Sea ice pack start to manifest themselves in the Central Arctic? Currently, a shortfall in satellite observations of the Arctic pack ice in summer prevents us from testing our hypothesis. We desperately require pan-Arctic observations of ice melting rates, but so far satellite observations of sea ice thickness are only available during winter months. Our project will therefore deliver the first measurements of Arctic sea ice thickness during summer months, from twin satellites: ESA's Cryosat-2 & NASA's ICESat-2. We have designed a new classification algorithm for separating ice and ocean radar altimeter echoes, regardless of surface melting state, providing the breakthrough required to fill the existing summer observation 'gap'. Exploiting the recent launch of multiple SAR missions for polar reconnaissance, our project will integrate information on ice-pack ablation, motion and deformation to generate a unique year-round sea ice volume budget in the High Arctic. This record will inform high-resolution ice dynamics simulations, performed with a suite of state-of-the-art sea ice models from stand alone (CICE), ocean-sea ice (NEMO/CICE), to fully coupled regional high resolution (RASM), and global coarser resolution (HadGEM) models, all now equipped with the anisotropic (EAP) sea ice rheology developed by our team. Using the regional and stand-alone models we will analyse the role of mechanics in this keystone region north of Greenland to scrutinise the coupling and preconditioning of winter breakup events - such as those witnessed in 2018 - to summer melting rates. Using the coupled models, we will quantify the likelihood of the Arctic's last ice area breaking up much sooner than expected due to oceanic and atmospheric feedbacks and how this will affect the flushing of ice and freshwater into the North Atlantic.", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/40010/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179649/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179651/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179650/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179648/?format=api" ] }, { "ob_id": 37834, "uuid": "f1bfceeff4e045a588d143fdb9097f2b", "title": "Impacts of climate change in the troposphere, stratosphere and mesosphere on the thermosphere and ionosphere", "abstract": "The data were produced as part of a Natural Environment Research Council (NERC) Independent Research Fellowship (NE/R015651/1) awarded to Ingrid Cnossen, entitled 'Impacts of climate change in the troposphere, stratosphere and mesosphere on the thermosphere and ionosphere'. \r\n\r\nThe project as a whole aims to quantify the importance of man-made climate change in the lower and middle atmosphere in causing long-term changes in the upper atmosphere, both in the past (1950s-2010s) and projected into the future (2050s) according to established emission scenarios. Computer simulations with WACCM-X, a state-of-the-art, global, 3-dimensional climate model, extending from the surface up to ~500 km altitude, are being used to do this. Results from these simulations will be compared to observed long-term changes in the upper atmosphere (e.g., in temperature, density) and to contributions made by other known factors. These include the increase in greenhouse gas concentration within the upper atmosphere itself, which has a cooling effect, and changes in the Earth's magnetic field, which cause more complicated patterns of long-term change. Interactions of changes in the Earth's magnetic field and changes in atmospheric tides due to climate change will also be investigated. This will focus at least initially again on the period of the 1950s to 2050s, but this may be broadened to a larger timespan from 850 to the present-day. \r\n\r\nThe current data set covers the period 1950-2015 and comes from the first long-term transient simulation with WACCM-X. The data set was used by Cnossen (2020) to quantify past climate change in the upper atmosphere, using the same multi-linear regression analysis technique that is often used to extract trends from observational data sets. The data set is also highly suitable for comparisons with observed long-term trends in the upper atmosphere, as the timeframes covered by observational data sets can be matched by selecting the relevant time window from the simulation data and all known drivers of climate change are included. NE/R015651/1", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180526/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180527/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180528/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180529/?format=api" ] }, { "ob_id": 37963, "uuid": "ab605b618884401c91afd0274c92144e", "title": "Integrated Research Observation System for Clean Air (OSCA)", "abstract": "The Integrated Research Observation System for Clean Air (OSCA) is a multidisciplinary research project, combining atmospheric observations, laboratory studies, data processing development and integrated scientific synthesis to deliver improved understanding of urban air pollution in the UK, and enable delivery of key objectives of the Clean Air: Analysis and Solutions Programme. OSCA exploits recent significant UK investment in air pollution measurement infrastructure - the air pollution supersites in London, Birmingham and Manchester - and other new UKRI-funded capability developed for field, modelling and laboratory studies of air pollution processes. \r\n\r\nThe project brings together a research team spanning 5 UK HEIs and 2 NERC centres across disciplines of atmospheric science, engineering, mathematics, chemistry, physics and computer science and includes investigators with direct involvement in the provision of science advice in support of policy development - through established links with (e.g.) Department for Environment, Food and Rural Affairs (Defra), Department for Transport (DfT), Department of Health (DoH), regional policymakers, and international bodies. OSCA will provide scientific insights that will inform implementation of the new UK Clean Air Strategy, contribute to development and evaluation of regional air quality policy measures, and enable the development and optimisation of emission abatement measures, for the protection of human health. The project provides a definitive assessment of the current state of UK urban air quality, and of trends in air pollutants - both those expected in response to policy and changing behaviour, and unanticipated consequences of these - and provides data and infrastructure to underpin other proposed projects in the Clean Air Programme. NE/T001984/1, \tNE/T001917/1, NE/T001909/2, NE/T001798/1, NE/T001925/1, NE/T001798/2, NE/T001976/1, NE/T001909/1.", "keywords": "OSCA, air quality, OSCA-AQ", "status": "ongoing", "publicationState": "published", "identifier_set": [], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/37907/?format=api" ], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/39559/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181185/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181186/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181188/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181187/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192896/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192897/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192898/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192899/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192900/?format=api" ] }, { "ob_id": 38094, "uuid": "ae07ec2a537145e9ac05d923d9a6f891", "title": "Abrupt climate changes during the last ice age: a study of millennial-scale variability in climate simulations", "abstract": "This PhD project by Yvan Romé explored the occurrence of millennial-scale variability in the HadCM3 general circulation model during the last glacial period and, in particular, the last deglaciation. To identify the range of climate conditions and the mechanisms behind glacial millennial-scale variability, new sets of multi-millennial HadCM3 simulations forced with deglacial patterns of meltwater forcing were created. This includes simulations of the last glacial maximum forced with fixed meltwater discharges derived from the ice sheet melting history showing a pseudo-oscillating behaviour under the right balance of magnitude and location of the freshwater forcing. The oscillating simulations were analysed in more detail through multiple sensitivity analyses to map the salinity fluxes in the critical convection regions. Finally, the meltwater discharge protocol was applied to transient simulations of the last glacial maximum using two different ice sheet reconstructions.\r\nThe data included in this project's dataset consists mainly of model outputs that focus on the main mechanisms at stake in glacial climate variability, namely the changes in AMOC regimes, the reorganisation of ocean masses and the effect of the ice sheet reconstruction. They provide unique support for studying the occurrence of climate variability on different timescales in general circulation models and the potential chain of events of the last deglaciation.\r\nThis work was funded by the Natural Environment Research Council's Panorama doctoral training partnership.", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181505/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181506/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181507/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181508/?format=api" ] }, { "ob_id": 38101, "uuid": "7a4feaf0fd624dacaf34a0129f074fcc", "title": "Soot Aerodynamic Size Selection for Optical properties (SASSO)", "abstract": "Black carbon (BC) and brown carbon (BrC) aerosols are widely studied components of atmospheric aerosol because they can absorb solar radiation and heat the atmosphere, causing positive radiative forcing of the climate. Although BC and BrC are very important for climate, they are poorly represented in atmospheric models. This is in part due to the complex microphysical properties of BC and the lack of accurate refractive index (RI) descriptions for both BC and BrC.\r\nSASSO capitalized on a unique combination of new technical and methodological developments at the University of Manchester and the University of Exeter to generate experimental data on a variety of soot types, providing much greater constraints on optical properties than previously possible. Specifically, SASSO used the Aerodynamic Aerosol Classifier (AAC) for size selection of emissions from wood burning, diesel combustion, and secondary organic aerosol (SOA) formation, prior to optical measurements using cavity ring-down and photoacoustic spectroscopy with the EXtinction, SCattering and Absorption of Light for AirBorne Aerosol Research (EXSCALABAR) instrumentation, custom-built by the Met Office.\r\nIn addition, to test the \"lensing effect,\" non-absorbing and weakly absorbing organic materials were condensed onto BC to form coated soot particles. The mass concentration of black carbon aerosol was measured using the Single Particle Soot Photometer (SP2), and chemical information was obtained via Aerosol Mass Spectrometry (AMS), allowing different optical models for mixed particles to be evaluated.", "keywords": "SASSO, soot, black carbon, brown carbon", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181541/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181542/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181543/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181544/?format=api" ] }, { "ob_id": 38113, "uuid": "ff6cc7ada8824ce3bbec1e777a5e0850", "title": "A 3D perspective of the effects of topography and wind on forest height and dynamics", "abstract": "This project aims to track how forest canopy height (and therefore biomass) is changing over time and whether this is correlated to local topography or wind patterns. We collected LiDAR and RGB data in areas with similar pre-existing data sets in order to detect changes over time. NE/S010750/1", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181590/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181591/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181593/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181592/?format=api" ] }, { "ob_id": 38131, "uuid": "7231e85e8ec34e36a6d2815d7edf2330", "title": "Deep Convective Microphysics Experiment (DCMEX)", "abstract": "The goal of the Deep Convective Microphysics Experiment (DCMEX) project is to ultimately reduce the uncertainty in equilibrium climate sensitivity by improving the representation of microphysical processes in global climate models (GCMs). It is the anvils produced by tropical systems in particular, that contribute significantly to cloud feedbacks. The anvil radiative properties, lifetimes and areal extent are the key parameters. DCMEX will determine the extent to which these are influenced, or even controlled by the cloud microphysics including the habits, concentrations and sizes of the ice particles that make up the anvils, which in turn depend on the microphysical processes in the mixed-phase region of the cloud as well as those occurring in the anvil itself.\r\n\r\nA measurement campaign took place in July-August 2022 over the Magdalena mountains, New Mexico. The FAAM BAe-146 aircraft, dual-polarisation doppler radar, aerosol instruments and stereo-camera observations collected data which was then combined with modelling activities to improve the representation of deep convective microphysics within climate models.", "keywords": "DCMEX, FAAM, Met Office", "status": "ongoing", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12198/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/38137/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181652/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181653/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181654/?format=api" ] }, { "ob_id": 38309, "uuid": "70c96882916149658752b2b123931a5d", "title": "ICECAPS-MELT: NSFGEO-NERC Collaborative Research", "abstract": "Overview: A three-year extension to the Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation at Summit (ICECAPS) project. This project was an international collaboration that funded the original ICECAPS researchers through the U.S. National Science Foundation's Arctic Observing Network and a team of researchers at the University of Leeds through the U.K. Natural Environment Research Council. The ICECAPS project continuously operated a sophisticated suite of ground-based instruments at Summit Station, Greenland since 2010 for observation of clouds, precipitation, and atmospheric structure. The project significantly advanced the understanding of cloud properties, radiation and surface energy, and precipitation processes over the Greenland Ice Sheet (GrIS) during a period of rapid climate change. The project supported numerous national and international collaborations in process-based model evaluation, development of new measurement techniques, ground comparisons for multiple satellite measurements and aircraft missions, and operational radiosonde data for weather forecast models. The project proposed to complement the ICECAPS Summit observatory by building, testing and deploying an additional observatory for measuring parameters of the surface mass and energy budgets of the GrIS. The observatory takes a novel approach for unattended, autonomous operations by supporting a suite of instruments that require moderate power and manageable internet bandwidth. The new observatory was deployed in successive summers at Summit Station in the dry-snow zone and at Dye-2 in the percolation zone. 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Full details are available from the PRIMAVERA pages (see linked documentation on this record).\n\nCEDA provides access to most PRIMAVERA simulations. Additional ensemble members for some models are available on the ESGF. PRIMAVERA contributed to the WCRP CMIP HighResMIP MIP and additional HighResMIP data is available on the ESGF and some data sets are provided to aid local access and use.", "keywords": "PRIMAVERA, MIP, CMIP, HighResMIP, Horizon2020, climate change, climate, model, simulation, multi-model", "status": "ongoing", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/38942/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/38957/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/38980/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/39010/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/39038/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/39066/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/39172/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/39133/?format=api" ], 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"https://api.catalogue.ceda.ac.uk/api/v2/rpis/189255/?format=api" ] }, { "ob_id": 39066, "uuid": "f60cdb0a9f5e48caa668f838607bc05e", "title": "PRIMAVERA: Met Office Hadley Centre (MOHC) contribution", "abstract": "PRIMAVERA contribution by the Met Office Hadley Centre (MOHC) team.", "keywords": "PRIMAVERA, HighResMIP, MOHC", "status": "ongoing", "publicationState": "published", "identifier_set": [], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/39069/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/39074/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/39085/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/39094/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/39099/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/39102/?format=api" ], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/38941/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189404/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189405/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189406/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189408/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189409/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189407/?format=api" ] }, { "ob_id": 39133, "uuid": "46c26db8fb6d4ac58180934e954adb08", "title": "PRIMAVERA: Natural Environment Research Council (NERC) contribution", "abstract": "PRIMAVERA contribution by the Natural Environment Research Council (NERC) team.", "keywords": "PRIMAVERA, HighResMIP, NERC", "status": "ongoing", "publicationState": "published", "identifier_set": [], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/39136/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/39139/?format=api" ], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/38941/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189763/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189764/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189765/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189767/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189768/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189766/?format=api" ] }, { "ob_id": 39172, "uuid": "5a208384b3e0410992f4812347909ffc", "title": "PRIMAVERA: National Centre for Atmospheric Science (NCAS) contribution", "abstract": "PRIMAVERA contribution by the National Centre for Atmospheric Science (NCAS) team.", "keywords": "PRIMAVERA, HighResMIP, NCAS", "status": "ongoing", "publicationState": "published", "identifier_set": [], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/39175/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/39182/?format=api" ], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/38941/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/190722/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/190723/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/190724/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/190726/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/190727/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/190725/?format=api" ] }, { "ob_id": 39188, "uuid": "ca5fbca02e2c46adb4ddc5719b6d3aa5", "title": "Metrology for Earth Observation and Climate project - MetEOC-2", "abstract": "The Metrology for Earth Observation and Climate project - MetEOC-2 - provides the data needed to underpin climate change research and its impacts, (e.g. flooding and agriculture), and can quantify environmental issues such as pollution and coastal erosion. Satellite data can also be used to detect subtle changes in Essential Climate Variables. For example, changes in total solar energy and sea surface temperatures of a few tenths of a per cent per decade can be detected in this way. However, the performance of satellite instruments is prone to degradation post-launch and from exposure to the harsh environmental conditions above the atmosphere. So, to guarantee data reliability, these instruments generally need re-calibrating and validating in orbit.\r\n\r\nCalibration against, and traceability to, the international system of units (SI) would guarantee long-term confidence, accuracy and reliability of such data and ensure consistency between instruments. \r\n\r\nThese basic data products are additionally processed through complex non-linear retrieval algorithms to obtain the geophysical and biophysical parameters (e.g. the ECVs) that are important for understanding the state of the planet. End-to-end assessment of uncertainty and traceability was recognised as a challenge worth addressing by the climate community with support from metrology experts\r\n\r\nThis project was funded by grant number ENV55 within the European Metrology Research Programme (EMRP)", "keywords": "Metrology, Earth Observation, Climate, Biomass", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/190816/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/190817/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/190818/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/190844/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/190845/?format=api" ] }, { "ob_id": 39309, "uuid": "960b613fc3c5476ebda9382ab12c8f3c", "title": "UKESM1 ARISE-SAI climate simulations", "abstract": "The UKESM1 ARISE experiment explores the impacts of geoengineering via the injection of sulphur dioxide (SO2) into the stratosphere. The injections occur at four different latitudes: 15 degrees N & S and 30 degrees N & S, at an altitude of approximately 20 km.\n\nThe simulations are based on the medium-emissions CMIP6 scenario ssp245 and cover the years 2035 to 2070. They form a 5-member ensemble with initial conditions taken from the corresponding five members of the ssp245 simulations upon which they were based.\n\nThere are three targets for the ARISE simulations:\n\n 1. Annual, global-mean near-surface air temperature to be cooled down to, and then maintained at, 1.5 degC above the pre-industrial mean (the latter determined from the long-term mean of UKESM1's CMIP6 piControl simulation).\n 2. The hemispheric temperature balance to be returned to and maintained at the same level as when the global-mean temperature was 1.5 degC above pre-industrial.\n 3. Same as target (2) but for the average poles-tropics temperature difference.\n\nUsing a 5-member ensemble mean, a period in UKESM1's CMIP6 historical/ssp245 simulations was identified when the 20-year mean global temperature was 1.5 degC above pre-industrial. The temperature pattern during this period (2014-2033) was used to define targets (2) and (3) above.\n\nThe amount of SO2 injected at each location is adjusted annually by an algorithm which examines the temperature distribution in the previous year, compares it with the three targets descibed above, and adjusts the injection rate for the next year accordingly", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/191761/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/191762/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/191763/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/191764/?format=api" ] }, { "ob_id": 39321, "uuid": "a0ef4de5c121435dbb602e1f941b1268", "title": "FUTURE-STORMS: Quantifying uncertainties and identifying drivers of future changes in weather extremes from convection-permitting model ensembles", "abstract": "In FUTURE-STORMS, convection-permitting model simulations were carried out over a Europe-wide domain by the UK Met Office and ETH Zurich, as part of the European Prediction System (EUCP) project. These EUCP simulations were exploited under FUTURE STORMS. The simulations are then inter-compared, exploring how heavy rainfall and extreme weather are represented in the present-day, and how are they projected to change under global warming. The project is funded by NERC (grant number: NE/R01079X/1).", "keywords": "EUCP, rainfall", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12297/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/191806/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/191807/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/191808/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192177/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192178/?format=api" ] }, { "ob_id": 39385, "uuid": "a099b3162b084cd882fa3c257709f877", "title": "The Oxford DTP in Environmental Research", "abstract": "", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192137/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192138/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192139/?format=api" ] }, { "ob_id": 39547, "uuid": "d72c10c31f10451ea5377fff783afbd8", "title": "EuroCORDEX-UK Climate Projections", "abstract": "Simulations of historical and future UK climate from 1980-2080 under the RCP8.5 emissions scenario, produced by the CoOrdinated Regional Downscaling EXperiment (CORDEX) at 0.11 degree resolution (EUR-11).\r\n\r\nEuroCORDEX regional model output is provided for the same domain and at the same spatial and temporal resolutions as the UKCP18 regional model output to facilitate comparison and combination of the two datasets.", "keywords": "CORDEX, EuroCORDEX, regional, climate, UK, historical, projections, climatologies, GCM, RCM, land", "status": "", "publicationState": "", "identifier_set": [], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/39548/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192828/?format=api" ] }, { "ob_id": 39559, "uuid": "221b1cd13a354434b1e9d22774306078", "title": "Clean Air Programme", "abstract": "The aim of the Clean Air programme is to bring together the UK’s world-class research base and support high-quality multi- and interdisciplinary research and innovation to develop practical solutions for today’s air quality issues and equip the UK to proactively tackle future air quality challenges, in order to protect health and support clean growth.\r\n\r\nThe funding is part of the Strategic Priorities Fund (SPF), delivered by UKRI to drive an increase in high quality multi- and interdisciplinary research and innovation. It will ensure that UKRI’s investment links up effectively with government research priorities and opportunities.\r\n\r\nThe vision of the Clean Air programme is a coordinated landscape of research and innovation co-designed with users to develop robust solutions that reduce emissions and impacts of atmospheric pollution.", "keywords": "Air Quality", "status": "ongoing", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/37963/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/40265/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/39906/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192901/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192902/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/198236/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192903/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192904/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192905/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192906/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192907/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192908/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192909/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192910/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192911/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192912/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192913/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192914/?format=api" ] }, { "ob_id": 39562, "uuid": "a1b718f148f24b8bb5d2eea9e3d25a3d", "title": "RisesAM-OceanWaves", "abstract": "While there has been a strong focus on mitigating climate change to below 2°C, the lack of international action and the continued growth in greenhouse gas concentrations make it important to analyse the implications of higher-end scenarios (global average warming > 2°C with respect to pre-industrial level) for vulnerable areas. This will allow a better quantification of impacts and vulnerabilities associated with such climate change, showing that adaptation is possible at an affordable cost (compared to risk). It will furthermore inform policy and decision makers, contributing to raise awareness on the multiple dimensions of possible adaptation pathways. Coastal zones are amongst the most vulnerable regions of the world in the face of climatic change (threatened by sea-level rise, run-off into coastal lowlands and coastal storms). The obtained results are based on a set of models that consider global projections especially prepared for coastal systems to allow evaluating climate change impacts for present adaptation levels. The RISES-AM project aimed to investigate a range of future scenarios, considering the physical and the socio-economic components, in order to introduce a risk approach into climatic analysis to achieve a higher level of objectivity in the assessments and to account for uncertainties in drivers and responses. The results of RISES-AM have been derived from conceptual and numerical models that deal with impact projection for coastal systems and allow evaluating climate impacts for present adaptation levels. The results of the assessments show the importance of planning ahead in all categories to reduce climate change impacts and show the feedbacks between the physical and socio-economic sub-systems in the coastal zone.", "keywords": "surface, model, wave, ERA, interim, reanalysis, UK, climate, projections, UKCP18", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/39572/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192921/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192922/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192989/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194046/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194055/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194056/?format=api" ] }, { "ob_id": 39604, "uuid": "bb6199da25834a028e84df57edf788bf", "title": "Future of Cooling Programme - Oxford Martin School", "abstract": "Cooling is necessary for the quality of life of billions of people living in developing countries and, increasingly, for those developed countries traditionally unprepared for ever more frequent heatwaves due to climate change.\r\n\r\nThe energy needed for air conditioning is likely to triple by 2050, with ten new air conditioning units projected to be sold every second for the next 30 years. This huge demand has the potential to drive up greenhouse gas emissions and therefore further exacerbate the very problem it is designed to alleviate.\r\n\r\nShaping future cooling demand patterns is potentially the most significant opportunity we have to moderate the trajectory of energy demand. However, we do not yet understand where the greatest social, technical and economic innovations could be made, and therefore lack an evidence base for interventions. Similarly, the benefits of cooling for reducing rates of heat-related illness have not yet been fully researched.\r\n\r\nThis study investigates the future of cooling as a dynamic system, and examines its interlinkages across Sustainable Development Goals (SDGs) in the developing and developed world. Our aim is to steer the system towards sustainable cooling for all, and to establish cooling as a global priority for the successful implementation of the SDGs.\r\n\r\nWe are concentrating on space cooling (from air conditioning, fans, and other, non-energy-dependent passive cooling techniques), which is the largest energy consumer amongst the cooling sectors, and are examining three critical, inter-related aspects of future cooling.\r\n\r\nThese include:\r\n\r\ntransitioning technologies and cooling cultures and behaviours that determine energy demand\r\nthe implications of severe heat for morbidity and the potential to mitigate negative health effects\r\nmapping unaccounted-for impacts of the global cooling production network, including refrigerant gases\r\nOur methods include surveys and trend analysis, modelling, experiments, qualitative fieldwork and case studies in fast-growing developing countries (India and South Africa) and developed countries at risk of increased heatwaves (France and the UK).\r\n\r\nOur research focuses explicitly on creating solutions, including policy influence on cooling energy demand and social aspects of climate mitigation, the design and implementation of alternative supply chains, enhancing the uptake of the best-in-class refrigerant gases as well as evidence-based guidelines to better handle the healthcare burden of severe heat.\r\n\r\nIn addition to its focus on space cooling, the programme is critically assessing agricultural and industrial cold-chain systems. It is developing a typology of different types of cold chains and evaluating them in terms of their environmental, economic and social sustainability. Crucially, in addition to suggesting their optimised design, it aims to derive context-specific policy recommendations how governments can best incentivise, govern and regulate low-carbon and effective cold chains.", "keywords": "", "status": "", "publicationState": "", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193038/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193039/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193040/?format=api" ] }, { "ob_id": 39605, "uuid": "cca965d6235d429fad6ee5c4143da932", "title": "Marie Curie Fellowship", "abstract": "European Union’s Horizon 2020 Research and Innovation Programme Marie Sklodowska-Curie Grant. Grant number: 101023241", "keywords": "101023241", "status": "", "publicationState": "preview", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193041/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193042/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193043/?format=api" ] }, { "ob_id": 39663, "uuid": "55fdeb3921bb4907bb4ed8899018c722", "title": "Microbiology-Ocean-Cloud Coupling in the High Arctic (MOCCHA)", "abstract": "MOCCHA aims to study aerosol processes, the contribution of marine microbiology to their formation and properties, and their impact on the like cycle of low-level clouds in the central Arctic as part of the Arctic Ocean 2018 (AO2018) expedition. AO2018 took place between 1 August and 21 September 2018, departing from and returning to Longyearbyen. The expedition was centred around a 4-week long intensive observation period, where the icebreaker Oden was moored to an ice flow and drifted passively with the ice. \r\n\r\n MOCCHA is a joint project of the Universities of Stockholm (Sweden), Michigan (US), Leeds (UK), Leipzig/TROPOS (Germany), Oldenburg (Germany), Dalhousie (Canada), Lund (Sweden), Gothenburg (Sweden), California, Irvine (US), Paul Scherrer Institute (Switzerland), College of Charleston (US), Virginia Institute of Marine Science (US), Environment and Climate Change Canada (Canada), Alfred Wegener Institute (Germany), Bigelow Laboratory for Ocean Sciences (USA) and University College London (UK).", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193237/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193238/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193240/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193239/?format=api" ] }, { "ob_id": 39712, "uuid": "b958c9b400a447058b2cb119fae8adb9", "title": "EQUIPT4RISK - Evaluation, Quantification and Identification of Pathways and Targets for the assessment of Shale Gas RISK", "abstract": "The project will identify, characterise and parameterise the multiple direct and indirect pathways within the shallow subsurface and the atmosphere (and across interfaces), which link sources of contamination and hazards associated with shale gas (SG) operations to human and sensitive environmental receptors, and surface infrastructure.\r\nFor each component of the domain (Water, Air, Solid Earth), Source-Pathway-Receptor combinations will be examined and then integrated in a probabilistic risk assessment (PRA) framework for quantification of the risks to humans, infrastructure and the environment. A key aspect of the study will be to understand how the risk profile evolves over the life cycle of shale gas operations - from single site to multiple operations across an area.\r\nThe focus will be on investigating the processes that affect and influence the near-surface (i.e. <400 m bgl) Source-Pathway-Receptor combinations (and their interactions). Processes that will be investigated include; hydro-geochemical controls on contaminant behaviour and transport, climatological and chemical controls on air quality, and attenuation of ground motion e.g. from seismic events. The on-going environmental monitoring at the shale gas sites in North Yorkshire and Lancashire, along with their detailed conceptual and geological models will provide rich and continuous quality-assured high precision datasets and information. The sites represent different types of shale gas operation in different geo-environmental settings. Information from these sites, along with other non-UK sites where project partners have worked, will be a starting point, with additional data from UKGEO supplementing the evidence base. Analysis of these data will then support the design of experiments at UKGEO and other sites to improve confidence in process understanding and test different aspects of the risk model under controlled conditions, quantifying properties and better characterising/quantifying uncertainty through evaluation of the sensitivity of environmental and human receptors. \r\nThe experiments will also consider non-shale gas-related activities such as analogues and crowd-sourcing of information on ground movement. Attention will be given to identifying the key indicator parameters and techniques required to detect environmental changes arising from shale gas activity in both the short-term, providing early warning, and the long-term. This will include new technology tested as part of the experiments and case studies that will allow differentiation of stimulated reservoir source fluids and other contaminants from extraneous natural and anthropogenic sources in measured groundwater, soil gas or atmospheric samples. Improved measurement, monitoring and quantification will be critical to effectively evaluating and managing the risks arising from shale gas development and supporting the integrated risk model developed as an outcome of this project.", "keywords": "EQUIPT4RISK, Source-Pathway-Receptor, contaminants, UKGEO", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/39714/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193423/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193424/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193426/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193425/?format=api" ] } ] }