Procedure Computation List
Get a list of ProcedureComputation objects. ProcedureComputations have a 1:1 mapping with Observations.
### Available end points:
- `/ProcedureComputations/` - Will list all ProcedureComputations in the database
- `/ProcedureComputations.json` - Will return all ProcedureComputations in json format
- `/ProcedureComputations/<object_id>/` - Returns ProcedureComputations object with that id
### Available Methods:
- `GET`
- `HEAD`
### Available filters:
- `uuid`
- `title`
- `keywords`
- `abstract`
### How to use filters:
These filters can be used like django query filters using __ for related model relationships.
- `/computations/?uuid=d594d53df2612bbd89c2e0e770b5c1a0`
- `/computations/?title__startswith!=DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE`
- `/computations/?abstract__contains=HadCM3 model`
GET /api/v2/computations/?format=api
{ "count": 3949, "next": "https://api.catalogue.ceda.ac.uk/api/v2/computations/?format=api&limit=100&offset=100", "previous": null, "results": [ { "ob_id": 13, "uuid": "2768057e022f44d9a9c076861fd4a36a", "title": "deployed on NOAA Polar Orbiting environmental satellites (POES)", "abstract": "This computation involved: deployed on NOAA Polar Orbiting environmental satellites (POES).", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 427, "uuid": "979f6a4e58344bfcb5e1e145e84aef24", "title": "Collection of climate models from various worldwide research groups deployed on PCMDI Computers", "abstract": "This computation involved: Collection of climate models from various worldwide research groups deployed on PCMDI Computers. \n\nMetadata document \n\nMetadata document", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/312/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/313/?format=api" ] }, { "ob_id": 457, "uuid": "759421ee78164517a9ecc0f89fbf30fc", "title": "DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on NIMBUS 7 Satellite", "abstract": "This computation involved: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on NIMBUS 7 Satellite. The NASA Nimbus 7 research-and-development polar-orbiting satellite served as a stabilized, earth-oriented platform for the testing of advanced systems for sensing and collecting data in the pollution, oceanographic and meteorological disciplines. It was launched on October 24, 1978.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 465, "uuid": "1ab601c5c1bb45a7b69020ba8e96eee2", "title": "DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Meteor-3 satellite", "abstract": "This computation involved: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Meteor-3 satellite. The Meteor craft are weather observation satellites launched by the USSR. The Meteor satellites were designed to monitor atmospheric and sea-surface temperatures, humidity, radiation, sea ice conditions, snow-cover, and clouds.Meteor-3 was launched on August 15, 1991 from Plesetsk, Russia, and failed on 27th December 1994. Meteor-3 carried the second Total Ozone Mapping Spectrometer (TOMS) aloft as the first and the last American-built instrument to fly on a Soviet spacecraft.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 475, "uuid": "084943f2cb4a4bf1a233cc518944b3aa", "title": "Met Office operational unified model (UM) deployed on Met Office Computer network", "abstract": "This computation involved: Met Office operational unified model (UM) deployed on Met Office Computer network. The Unified Model is the name given to the suite of atmospheric and oceanic numerical modelling software developed and used at the Met Office. The formulation of the model supports global and regional domains and is applicable to a wide range of temporal and spatial scales that allow it to be used for both numerical weather prediction and climate modelling as well as a variety of related research activities. The Unified Model was introduced into operational service in 1992. Since then, both its formulation and capabilities have been substantially enhanced.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/356/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/357/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/358/?format=api" ] }, { "ob_id": 560, "uuid": "caa1da8e55124f9c8567b5c8df5e2656", "title": "deployed on Meteor -3M satellite", "abstract": "This computation involved: deployed on Meteor -3M satellite. Meteor-3M is a joint Russian-US environment/atmosphere monitoring meteorological satellite launched on December 10th, 2001.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 707, "uuid": "fea5a699972c4649a95d53d0cb611044", "title": "Met Office operational unified model (UM) deployed on Keflavik, Iceland", "abstract": "This computation involved: Met Office operational unified model (UM) deployed on Keflavik, Iceland. Base for the GFDex measurement campaign", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/458/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/459/?format=api" ] }, { "ob_id": 710, "uuid": "0b3f027f334b4dbb9f7bffcc231a9655", "title": "HIRLAM HIgh Resolution Limited Area atmospheric Model deployed on Keflavik, Iceland", "abstract": "This computation involved: HIRLAM HIgh Resolution Limited Area atmospheric Model deployed on Keflavik, Iceland.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/461/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/462/?format=api" ] }, { "ob_id": 830, "uuid": "4df075f402ae4c7a88794ee92f4f8e4f", "title": "DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on EOS-AQUA", "abstract": "This computation involved: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on EOS-AQUA. Aqua, Latin for water, is a NASA Earth Science satellite mission named for the large amount of information that the mission will be collecting about the Earth's water cycle, including evaporation from the oceans, water vapor in the atmosphere, clouds, precipitation, soil moisture, sea ice, land ice, and snow cover on the land and ice. Additional variables also being measured by Aqua include radiative energy fluxes, aerosols, vegetation cover on the land, phytoplankton and dissolved organic matter in the oceans, and air, land, and water temperatures. The Aqua mission is a part of the NASA-centered international Earth Observing System (EOS). Aqua was formerly named EOS PM, signifying its afternoon equatorial crossing time.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 838, "uuid": "76a4d8eb712e4b4492d50af737c36ec1", "title": "DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on EOS-TERRA", "abstract": "This computation involved: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on EOS-TERRA. On December 18th, 1999, EOS-TERRA was launched. The Terra satellite is the flagship of EOS. It is providing global data on the state of the atmosphere, land, and oceans, as well as their interactions with solar radiation and with one another.\nOn February 24, 2000, Terra began collecting what will ultimately become a new, 15-year global data set on which to base scientific investigations about our complex home planet. Together with the entire fleet of EOS spacecraft, Terra is helping scientists unravel the mysteries of climate and environmental change.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 845, "uuid": "c5c440179ddf47399f7fddc4bc883b81", "title": "DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Envisat", "abstract": "This computation involved: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Envisat. In March 2002, the European Space Agency launched Envisat, an advanced polar-orbiting Earth observation satellite which provides measurements of the atmosphere, ocean, land, and ice. The Envisat satellite has a payload of 10 instruments that will ensure the continuity of the data measurements of the ESA ERS satellites. Envisat data supports earth science research and allows monitoring of the evolution of environmental and climatic changes.\n\n<div property=\"cedacat:introduction\">\n<div class=\"introduction\">Introduction</div>\n<p>Envisat flies in a sun-synchronous polar orbit of about 800-km altitude. The repeat cycle of the reference orbit is 35 days, and for most sensors, being wide swath, it provides a complete coverage of the globe within one to three days. The exceptions are the profiling instruments MWR and RA-2 which do not provide real global coverage, but span a tight grid of measurements over the globe. This grid is the same 35-day repeat pattern which has been well established by ERS-1 and ERS-2.</p>\n<p>\nIn order to ensure an efficient and optimum use of the system resources and to guarantee the achievement of the mission objectives Envisat reference mission operation profiles are established and used for mission and system analyses to define the instrument operational strategies, the command and control, and the data transmission, processing and distribution scenarios.\n</p>\n<p>\nMission and operation requirements\n<br />\n</p><ul>\n<li>Sun-synchronous polar orbit (SSO): Nominal reference orbit of mean altitude 800 km, 35 days repeat cycle, 10:00 AM mean local solar time (MLST) descending node, 98.55 deg. inclination. \n</li><li>The orbit is controlled to a maximum deviation of +/- 1 km from ground track and +/- 5 minutes on the equator crossing MLST. \n</li><li>Recording of payload data over each orbit for low bit rate (4.6 Mps) on tape recorders or solid state recorder (SSR). \n</li><li>High rate data (ASAR and MERIS) to be accessible by direct telemetry or recording on SSR. \n</li></ul>\nPayload:\n<ul>\n<li>ASAR - Advanced Synthetic Aperture Radar \n</li><li>MERIS - MEdium-spectral Resolution, Imaging Spectrometer \n</li><li>AATSR - Advanced Along Track Scanning Radiometer \n</li><li>RA-2 - Radar Altimeter 2\n</li><li>MWR - MicroWave Radiometer \n</li><li>GOMOS - Global Ozone Monitoring by Occultation of Stars\n</li><li>MIPAS - Michelson Interferometer for Passive Atmospheric Sounding \n</li><li>SCIAMACHY - Scanning Imaging Absorption Spectrometer for Atmospheric Chartography\n</li><li>DORIS - Doppler Orbitography and Radio-positioning Integrated by Satellite instrument \n</li><li>LRR - Laser Retro-Reflector\n</li></ul>\n<p />\n</div>", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 860, "uuid": "e8db36d18374407aa40826977d95e0c2", "title": "ClimatePrediction.net model deployed on Worldwide Personal Computer network", "abstract": "This computation involved: ClimatePrediction.net model deployed on Worldwide Personal Computer network. Set of General Circulation Models (GCMs) used in the climateprediction.net experiment.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/580/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/581/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/582/?format=api" ] }, { "ob_id": 864, "uuid": "be295273fd7e419e8802d6e74af4e344", "title": "HadSST2 sea surface temperature anomalies data processing deployed on Met Office Hadley Centre Computers", "abstract": "This computation involved: HadSST2 sea surface temperature anomalies data processing deployed on Met Office Hadley Centre Computers. HadSST2 is produced by taking in-situ measurements of SST from ships and buoys, rejecting measurements which fail quality checkes, converting the measurements to anomalies by substracting climatological values from the measurements, and calculating a robust average of the resulting anomalies on a 5 deg by 5 deg monthly grid. The Met Office Hadley Centre is the UK's official centre for climate change research. Partly funded by Defra (the Department for Environment, Food and Rural Affairs), they provide in-depth information to, and advise, the Government on climate change issues.\r\n\r\nHadley Centre aims:\r\n\r\n1. understand physical, chemical and biological processes within the climate system and develop computer models of the climate which represent them; \r\n2. use computer models to simulate the differences between global and regional climates; the changes seen over the last 100 years, and to predict changes over the next 100 years; \r\n3. monitor global and national climate variability and change; \r\n4. attribute recent changes in climate to specific factors. \r\n\r\n\r\nThe Hadley Centre undertakes studies of the global climate using similar, though more extensive, models of the atmospheres, as are used for the prediction of weather conditions.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/586/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/587/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/588/?format=api" ] }, { "ob_id": 916, "uuid": "bf63ec63d21f47158af2fb519a406a8b", "title": "DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Satellites on the Global Telecommunication Sytem (GTS)", "abstract": "This computation involved: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Satellites on the Global Telecommunication Sytem (GTS). The GTS consists of an integrated network interconnecting meteorological telecommunication centres of National Meteorological and Hydrological Services (NMHS) worldwide. It comprises point-to-point circuits, point-to-multi-point circuits for data distribution, multi-point-to-point circuits for data collection, as well as two-way multi-point circuits. These circuits are a combination of terrestrial and satellite telecommunication links.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 926, "uuid": "6e543ad4c35d4e7f845bd3aca82401fb", "title": "UK-Japan Climate Collaboration (UJCC) Model Matrix deployed on Earth Simulator Supercomputer", "abstract": "This computation involved: UK-Japan Climate Collaboration (UJCC) Model Matrix deployed on Earth Simulator Supercomputer. UJCC is making use of a broad group of models in order to systematically explore the role and value of resolution in climate system research: starting with the base N96 AOGCM (HadGEM1), an array of coupled and uncoupled models has been set up, in order to test hypotheses about the global impact of increasingly resolving the fundamental building blocks of climate. This model \"matrix\" will be an invaluable resource for understanding the impact of resolution in both atmosphere and ocean model components, and will help to guide future model development.\n\nAll these models have as their baseline science that of the initial reference HadGEM1a models used at the Hadley Centre. These build on the IPCC AR4 version of the model, and include various small improvements to the science and fixing of known problems. The ultra high-speed parallel computing system, \"Earth Simulator\" attained the best computing performance in the world according to the Linpack benchmark test. The result of this test of execution performance, 35.61 TFlops (trillion operations per second), was approved and the Earth Simulator was registered as the world' s fastest supercomputer by Dr. Jack J. Dongarra of the University of Tennessee, USA, who announced the world Linpack benchmark test results. The Earth Simulator supercomputer is housed at the Earth Simulator Center in Japan.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/646/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/647/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/648/?format=api" ] }, { "ob_id": 1031, "uuid": "41636e693a634f0ca0cb984224746cf0", "title": "Met Office operational unified model (UM) deployed on Met Office supercomputer (Exeter)", "abstract": "This computation involved: Met Office operational unified model (UM) deployed on Met Office supercomputer (Exeter). \n\nMore details to follow", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/751/?format=api" ] }, { "ob_id": 1045, "uuid": "1f9b9fa8e13742318a682c87b27e9c63", "title": "Met Office operational unified model (UM) deployed on Met Office supercomputer (Exeter)", "abstract": "This computation involved: Met Office operational unified model (UM) deployed on Met Office supercomputer (Exeter).", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 1177, "uuid": "b8efcf5fde434d1bad5b5008146bfacd", "title": "deployed on Earth Radiation Budget Satellite (ERBS)", "abstract": "This computation involved: deployed on Earth Radiation Budget Satellite (ERBS). One of the longest-running spacecraft missions to date, ERBS was launched on October 5, 1984 on the Space Shuttle Challenger and retired on October 14, 2005. The spacecraft was expected to have a two-year operation life, but ultimately, the mission provided scientific data about the Earth's ozone layer for more than two decades. In addition to the ERBE scanning and nonscanning instruments, the satellite also carried the Stratospheric Aerosol Gas Experiment (SAGE II).", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 1276, "uuid": "8e61d518c31047a18e0691fe60504f21", "title": "Deployed on NIMBUS 7 Satellite", "abstract": "Deployed on NIMBUS 7 Satellite.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 1277, "uuid": "2e394a9cc978479fb6d9d701993b6352", "title": "deployed on Solar Mesosphere Explorer (SME) satellite", "abstract": "deployed on Solar Mesosphere Explorer (SME) satellite. A NASA scientific satellite launched on October 6th, 1981 and designed to investigate the processes that create and destroy ozone in Earth's upper atmosphere.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 1293, "uuid": "9adfa03544a443a8ba1f4a3aba380850", "title": "University of Reading NEMO coupled ice-ocean model v3.2", "abstract": "This computation involved: Reading University Ocean Reanalysis Software deployed on Reading University computer. Reading University developed ocean reanalysis software which uses the NEMOv3.2 ocean model in configuration ORCA025_LIM (1/4 deg by 75 vertical levels). The model is forced with ECMWF ERA-Interim atmospheric reanalysis without corrections for radiation and precipitation and bulk fluxes calculated as in Large and Yeager (2004). The vertical grid has 75 levels with partial steps at the bottom. The data assimilation methodology is similar to what is currently employed in the UK Met Office operational FOAM - NEMO system (Storkey et al., 2010). It is an OI-type scheme with assimilation increments calculated using a first-guess-at-appropriate- time (FGAT) scheme every 5 days and introduced evenly over the period in an incremental analysis update (IAU) step. UR025.4 assimilates in situ and satellite-based SSTs, altimeter SLA from AVISO/CLS using the Rio et al. (2005) mean dynamic topography (MDT), in situ temperature and salinity profile observations obtained from the UK Met Office ENACT/ENSEMBLES (EN3_v2a_NoCWT_LevitusXBTMBT_ Corr) data set, which includes bias corrections for XBT and MDT data, and satellite-based sea ice concentrations from the EUMETSAT Ocean Sea Ice Satellite Application Facility (OSI-SAF).\r\n\r\n", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/949/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/950/?format=api" ] }, { "ob_id": 1296, "uuid": "bee49269363e4ceaa43e0a00ba3296f3", "title": "Reading University Ocean Reanalysis Software deployed on Reading University computer", "abstract": "This computation involved: Reading University Ocean Reanalysis Software deployed on Reading University computer.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 1346, "uuid": "dfd2fc26e62e45c198eda7ec87175576", "title": "Met Office operational unified model (UM) deployed on Reading University computer", "abstract": "This computation involved: Met Office operational unified model (UM) deployed on Reading University computer.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 1629, "uuid": "b1754edbadc746a6a813eab575076e72", "title": "Time-Delayed Neural Networks (TDNN) deployed on Fundacion Entropika Computers", "abstract": "This computation involved: Time-Delayed Neural Networks (TDNN) deployed on Fundacion Entropika Computers. Time Delayed Neural Networks are Multi-Layer Perceptrons that keep the previous states of the input layer in memory. Such networks have shown to be efficient in the prediction of time series, the hypothesis being that a climate variable depends or relates to the previous state of that same variable (i.e. that climate variables are temporally dependent). The exact architecture of the network (i.e. number of hidden layers, number of nodes in the hidden layers, adaptative learning function, transfer function and number of previous input states kept in memory) has to be arbitrarily determined by testing the performance of various structures.\r\n", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1208/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1209/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1210/?format=api" ] }, { "ob_id": 1634, "uuid": "b6906d207f4b48e78eea1f80de623477", "title": "DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Upper Air Research Satellite (UARS)", "abstract": "This computation involved: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Upper Air Research Satellite (UARS). The satellite was launched in 1991 by the Space Shuttle Discovery. It is 35 feet long, 15 feet in diameter, weighs 13,000 pounds, and carries 10 instruments. UARS orbits at an altitude of 375 miles with an orbital inclination of 57 degrees. Designed to operate for three years, UARS was finally decommissioned in December 2005. UARS measures ozone and chemical compounds found in the ozone layer which affect ozone chemistry and processes. UARS also measures winds and temperatures in the stratosphere as well as the energy input from the Sun. Together, these help define the role of the upper atmosphere in climate and climate variability.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 1643, "uuid": "4fbd0bf886c043f0bc5634ac78fbfa51", "title": "DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Upper Air Research Satellite (UARS)", "abstract": "This computation involved: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Upper Air Research Satellite (UARS).", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 1651, "uuid": "14814772f5754f61b437899753ec66b1", "title": "p-TOMCAT deployed on Cambridge University computer", "abstract": "The Cambridge p-TOMCAT model is a 3D global Eulerian model, driven by meteorological fields (winds, temperatures and humidities) from the operational analyses of the European Centre for Medium-range Weather Forecasts. For the purposes of this work, it was run at a resolution of ~2.8° x ~2.8° on 31 hybrid sigma-pressure levels. The levels stretch from the surface to 10hPa with a spacing of approximately 100m in the boundary layer and 1-1.5km in the vicinity of the tropopause. The model’s chemistry includes 52 species and 174 reactions that together describe the gas-phase HOx/NOx chemistries of methane, ethane, propane and isoprene; isoprene oxidation follows the Mainz Isoprene Mechanism (Pöschl et al., 2000).\r\n\r\nFive experiments are carried out. The first comprises a PI model run, employing appropriate trace-gas emissions (Valdes et al., 2005); the remaining four comprise highly idealised experiments derived from the PI model run. In the first two, the annual-mean concentration of methane in the Antarctic boundary layer is reduced from its PI value of ~710 ppbv to ~345 ppbv, roughly the concentration of methane present at the LGM, either by increasing the production of OH by a factor of 2.5 (Sink 1) or by uniformly scaling-down the emissions of methane by a factor of 0.55 (Source 1). In the remaining two experiments, the concentration of methane is reduced to ~555 ppbv by removing all non-methane emissions from vegetation (Sink 2) or by scaling-down the emissions of methane by a factor of 0.83 (Source 2).\r\n\r\nIn each experiment, the model is run to equilibrium with repeated meteorological fields from a single year (1997). The model is subsequently run for three consecutive years (1998-2000) to explore inter-annual variations. It is during these three years that the data contained in this dataset are gathered. The combination of five experiments and three years of meteorology gives rise to a total of fifteen files, each containing fully 3D monthly-mean chemical fields in addition to some meteorological fields (see below). They follow the nomenclature, desire_bas_p tomcat_EXPERIMENT_METEOROLOGY.nc, where EXPERIMENT=’pi’, ‘sink1’, ‘source1’,’sink2’ or ‘source2’; and METEOROLOGY=’1998’, ‘1999’ or ‘2000’).\r\n", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1232/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1233/?format=api" ] }, { "ob_id": 1663, "uuid": "89ab59eb8cef4fd2a2ebb21f91802868", "title": "DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on NOAA-7", "abstract": "This computation involved: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on NOAA-7. NASA polar-orbiting satellite which operated for the period 23rd June 1981 - 7th June 1986.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 1671, "uuid": "7b0f502aa142494783f126954d3c65bd", "title": "DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on NOAA-8", "abstract": "This computation involved: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on NOAA-8. NASA polar-orbiting satellite which operated for the period 28th March 1983 to 29th December 1985.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 1678, "uuid": "186260104bcc478c829cbf45ce9b346b", "title": "DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on NOAA-9", "abstract": "This computation involved: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on NOAA-9. NASA polar-orbiting satellite which operated for the period december 1984 to August 1993.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 1685, "uuid": "5c16ba7d31a2483bb4767b23dc65fdb3", "title": "DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on NOAA-10", "abstract": "This computation involved: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on NOAA-10. NASA polar-orbiting satellite which operated for the period September 1986 to September 1991.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 1692, "uuid": "b798240ce4a540a6b87f2e0a2db5e5bd", "title": "DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on NOAA-11", "abstract": "This computation involved: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on NOAA-11. NASA polar orbiting satellite which operated during the period 24 Spetember 1988 to March 1995.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 1699, "uuid": "ecd0be31ec90432f93f557f0e0073a45", "title": "DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Geostationary Operational Environmental Satellite - GOES-5", "abstract": "This computation involved: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Geostationary Operational Environmental Satellite - GOES-5. NASA geostationary weather satellite which operated for the period May 22, 1981 to July 18, 1990.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 1707, "uuid": "030c2af4673a4b37b480c8ee67f0da6a", "title": "DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Geostationary Operational Environmental Satellite - GOES-6", "abstract": "This computation involved: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Geostationary Operational Environmental Satellite - GOES-6. NASA geostationary weather satellite which operated for the period April 28, 1983 to 1989.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 1714, "uuid": "1df123b1711441afac578e2b18fa34bd", "title": "DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Geostationary Operational Environmental Satellite - GOES-7", "abstract": "This computation involved: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Geostationary Operational Environmental Satellite - GOES-7. NASA geostationary weather satellite which operated for the period February 26, 1987 to 1996.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 1721, "uuid": "b74a09a3cab74fbbb4772eb6c5f34ef3", "title": "DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on METEOSAT-2", "abstract": "This computation involved: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on METEOSAT-2. ESA geostationary meteorological satellite operating within the world wide network of the World Weather Watch of WMO. Its main missions are: Imaging in the visible, IR and water vapour region of the spectrum; data reception from so-called dat a collection platforms (DCPs); data distribution to meteorological services and other interested parties (research institutes etc).\nMeteosat-2 was launched from Kourou, French Guiana, on June 19,1981 and remained operational until 1991.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 1729, "uuid": "e19e68cf2b01441fb1fd7ae53e45df0c", "title": "DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on METEOSAT-3", "abstract": "This computation involved: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on METEOSAT-3. ESA geostationary meteorological satellite operating within the world wide network of the World Weather Watch of WMO. Its main missions are: Imaging in the visible, IR and water vapour region of the spectrum; data reception from so-called dat a collection platforms (DCPs); data distribution to meteorological services and other interested parties (research institutes etc). Meteosat-3 was launched from Kourou, French Guiana, on June 19,1988 and remained operational until 1995.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 1736, "uuid": "e627eab9918547229977feda34352a6e", "title": "DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on METEOSAT-4 or Meteosat Operational Programme 1 (MOP-1)", "abstract": "This computation involved: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on METEOSAT-4 or Meteosat Operational Programme 1 (MOP-1). ESA geostationary meteorological satellite operating within the world wide network of the World Weather Watch of WMO. Its main missions are: Imaging in the visible, IR and water vapour region of the spectrum; data reception from so-called dat a collection platforms (DCPs); data distribution to meteorological services and other interested parties (research institutes etc). Meteosat-4 was launched from Kourou, French Guiana, on June 3rd,1989 and remained operational until 1995.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 1743, "uuid": "c666881ba1974c7ba2f2281fdc1ccabb", "title": "DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Geostationary Meteorological Satellite 1 (GMS-1)", "abstract": "This computation involved: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Geostationary Meteorological Satellite 1 (GMS-1). Japanese Geostationary Meteorological Satellite, also known as its nickname, \"Himawari\" (meaning a \"sunflower\") which carried out weather observation from space being part of the World Weather Watch (WWW) project of the World Meteorological Organization. It was launched on July 14, 1977 and remained operational until 1981.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 1750, "uuid": "e48c5f70925c4cc5ab349b013aaaa429", "title": "DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Geostationary Meteorological Satellite 2 (GMS-2)", "abstract": "This computation involved: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Geostationary Meteorological Satellite 2 (GMS-2). Japanese Geostationary Meteorological Satellite, also known as its nickname, \"Himawari\" (meaning a \"sunflower\") which carried out weather observation from space being part of the World Weather Watch (WWW) project of the World Meteorological Organization. It was launched on August 10, 1981 and remained operational until September 1984.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 1757, "uuid": "b5b45bef1a9247a5bb020ee8c754a1d4", "title": "DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Geostationary Meteorological Satellite 3 (GMS-3)", "abstract": "This computation involved: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Geostationary Meteorological Satellite 3 (GMS-3). Japanese Geostationary Meteorological Satellite, also known as its nickname, \"Himawari\" (meaning a \"sunflower\") which carried out weather observation from space being part of the World Weather Watch (WWW) project of the World Meteorological Organization. It was launched on August 2, 1984.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 1764, "uuid": "ca673de344f14131b5afcdda00d21201", "title": "DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Geostationary Meteorological Satellite 4 (GMS-4)", "abstract": "This computation involved: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Geostationary Meteorological Satellite 4 (GMS-4). Japanese Geostationary Meteorological Satellite, also known as its nickname, \"Himawari\" (meaning a \"sunflower\") which carried out weather observation from space being part of the World Weather Watch (WWW) project of the World Meteorological Organization. It was launched on September 5, 1989 and remained operational until February 24, 2000.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 1771, "uuid": "0be70ad4ba7946b883ee2a0de586f79a", "title": "DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Geostationary Operational Environmental Satellite - GOES-8", "abstract": "This computation involved: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Geostationary Operational Environmental Satellite - GOES-8. NASA geostationary weather satellite which was launched on April 13, 1994 and is still operational to this date.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 1778, "uuid": "769b51a7143c4ac09d4ca879a589bc0c", "title": "DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Geostationary Operational Environmental Satellite - GOES-9 or GOES-J", "abstract": "This computation involved: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Geostationary Operational Environmental Satellite - GOES-9 or GOES-J. NASA geostationary weather satellite which was launched on May 23, 1995 and was deactivated in August, 1998, due to failing bearings in the momentuum wheels.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 1785, "uuid": "0f2d270bf46048f484f93781e99971cd", "title": "DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Geostationary Operational Environmental Satellite - GOES-10", "abstract": "This computation involved: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Geostationary Operational Environmental Satellite - GOES-10. NASA geostationary weather satellite which was launched on April 25, 1997 and is still operational to this date.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 1793, "uuid": "e233ebdaed6e4e65b4f8e4ef5dbbdda3", "title": "DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Geostationary Operational Environmental Satellite - GOES-12", "abstract": "This computation involved: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Geostationary Operational Environmental Satellite - GOES-12. NASA geostationary weather satellite which was launched on July 23, 2001 and is still operational to this date.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 1800, "uuid": "105c6dbd67cc46bea84c9908c3a81b33", "title": "DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on NOAA-12", "abstract": "This computation involved: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on NOAA-12. NASA polar orbiting satellite which was launched on May 14, 1991 remained operational until April 2001.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 1808, "uuid": "cd3717b664b942cda0d2243a3a517b6a", "title": "DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on NOAA-14", "abstract": "This computation involved: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on NOAA-14. NASA polar orbiting satellite which operated during the period 30 December 1994 to Febraury 2001.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 1815, "uuid": "7dfe95b686804c899eac434c47a0e309", "title": "DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on NOAA-15", "abstract": "This computation involved: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on NOAA-15. NASA polar orbiting satellite which was launched on May 13, 1998 and is still operational to this date.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 1823, "uuid": "a1f6f48440664a76851ab6c20f664c56", "title": "DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on NOAA-16", "abstract": "This computation involved: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on NOAA-16. NASA polar orbiting satellite which was launched on September 21, 2000 and remains operational to this day.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 1830, "uuid": "f860f175c9bc44ca87a30879d9f4fb4a", "title": "DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on NOAA-17", "abstract": "This computation involved: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on NOAA-17. NASA polar orbiting satellite which was launched on June 24, 2002.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 1837, "uuid": "adafc214a9c04334b50ea607f930f8ef", "title": "DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Geostationary Meteorological Satellite (GMS-5)", "abstract": "This computation involved: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Geostationary Meteorological Satellite (GMS-5). Japanese Geostationary Meteorological Satellite, also known as its nickname, \"Himawari\" (meaning a \"sunflower\") which carried out weather observation from space being part of the World Weather Watch (WWW) project of the World Meteorological Organization. It was launched on March 18, 1995.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 1844, "uuid": "870eacc8bf684fde94277abb38467df1", "title": "DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on METEOSAT-5 or Meteosat Operational Programme 2 (MOP-2)", "abstract": "This computation involved: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on METEOSAT-5 or Meteosat Operational Programme 2 (MOP-2). ESA geostationary meteorological satellite operating within the world wide network of the World Weather Watch of WMO. Its main missions are: Imaging in the visible, IR and water vapour region of the spectrum; data reception from so-called dat a collection platforms (DCPs); data distribution to meteorological services and other interested parties (research institutes etc). Meteosat-5 was launched from Kourou, French Guiana, on March 2, 1991.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 1852, "uuid": "f4640f91a47a46629054698f42795c92", "title": "DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on METEOSAT-6", "abstract": "This computation involved: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on METEOSAT-6. ESA geostationary meteorological satellite operating within the world wide network of the World Weather Watch of WMO. Its main missions are: Imaging in the visible, IR and water vapour region of the spectrum; data reception from so-called dat a collection platforms (DCPs); data distribution to meteorological services and other interested parties (research institutes etc). Meteosat-6 was launched from Kourou, French Guiana, on November 20, 1993.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 1859, "uuid": "33e23bd332184e979369ac02f8653fe2", "title": "DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on METEOSAT-7", "abstract": "This computation involved: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on METEOSAT-7. ESA geostationary meteorological satellite operating within the world wide network of the World Weather Watch of WMO. Its main missions are: Imaging in the visible, IR and water vapour region of the spectrum; data reception from so-called dat a collection platforms (DCPs); data distribution to meteorological services and other interested parties (research institutes etc). Meteosat-7 was launched from Kourou, French Guiana, on September 2, 1997.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 1866, "uuid": "adb22f34adad4b6790c2896874e59d01", "title": "DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on INSAT-1 series (INSAT-1A to INSAT-1D)", "abstract": "This computation involved: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on INSAT-1 series (INSAT-1A to INSAT-1D). The INSAT-1 satellite program incorporated a series of multipurpose geostationary satellites providing communications and weather forecasting service for India with a host of ground stations throughout India. INSAT-1A was launched on April 10, 1982 and INSAT-1B was launched on Auhust 30, 1983. INSAT-1C was launched on July 21, 1988 and INSAT-1D, the last in the series, was launched on June 12, 1990.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 1912, "uuid": "517ede06cf23456592b44530a0a7893a", "title": "DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on NOAA Satellite series - 7 to 14", "abstract": "This computation involved: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on NOAA Satellite series - 7 to 14. ITOS (Improved TIROS Operational System) was the follow-on to the TIROS series. They were the second generation of operational polar orbiters. Once operational, the satellite's designator was change to NOAA (National Oceanic and Atmopheric Administration Satellite). The primary objective of the ITOS Series of Sun-synchronous meteorological satellites was to provide improved operational infrared and visual observations of Earth cloud cover for use in weather analysis and forecasting. Secondary objectives included measuring snow and ice and the sea surface, and gathering information on the vertical structure of temperature and moisture in the atmosphere on a regular daily basis. Additional instruments, starting with ITOS-D/NOAA -2, also provided both global daytime and nighttime daily direct readout real-time cloudcover data.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 2125, "uuid": "4544617262174f909787a0097798ba78", "title": "Reading satellite data assimilation model deployed on Reading University computer", "abstract": "This computation involved: Reading satellite data assimilation model deployed on Reading University computer. The numerical forecast model which is the basis of the assimilation system is the HADAM3 version of the stratospheric configuration of the Unified Model (UM) [Cullen and Davies, 1991].", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1502/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1503/?format=api" ] }, { "ob_id": 2129, "uuid": "29bc7bf654964b8584b2b62817db17cd", "title": "PTF of global soil N Model deployed on Rothamsted Research Computer", "abstract": "This computation involved: PTF of global soil N Model deployed on Rothamsted Research Computer. PedoTransfer Function (PTF) of global soil N developped at Rothamsted Research Institute.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1507/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1508/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1509/?format=api" ] }, { "ob_id": 2299, "uuid": "5dca6166a31a4159b8d969b9c9aa7cd3", "title": "Hadley Centre Coupled Model 3 (HadCM3) deployed on HECToR (High-End Computing Terascale Resource) Supercomputer", "abstract": "This computation involved: Hadley Centre Coupled Model 3 (HadCM3) deployed on HECToR (High-End Computing Terascale Resource) Supercomputer. \"HadCM3\" (the Hadley Centre Coupled Model, version 3) is a coupled atmosphere-ocean general circulation model (AOGCM) developed at the Hadley Centre in the United Kingdom. It was one of the major models used in the IPCC Third Assessment Report in 2001.\r\n\r\nUnlike earlier AOGCMs at the Hadley Centre and elsewhere (including its predecessor HadCM2), HadCM3 does not need flux adjustment (additional \"artificial\" heat and freshwater fluxes at the ocean surface) to produce an almost unbiased simulation: HadCM3 has been run for over a thousand years, showing little drift in its surface climate.\r\n\r\nHadCM3 is composed of two components: the atmospheric model HadAM3 and the ocean model (which includes a sea ice model). Simulations often use a 360-day calendar, where each month is 30 days.\r\n\r\nIntroduction<\r\n\r\nThe horizontal and vertical representation, resolution and other important characteristics are in this model as follows (2006):\r\n\r\nA. Atmosphere \r\n\r\n 1. resolution: T63, L18\r\n\r\n 2. numerical scheme/grid: \r\n\r\n - Grid - Spectral for Temperature, Vorticity, Divergence, Surface Pressure\r\n \r\n - Model top - Top level at 4.5 hPa.\r\n\r\n - Vertical coordinate - hybrid sigma-pressure. \r\n\r\n - Number of layers above 200 hPa - 5\r\n\r\n - Number of layers below 850 hPa - 4\r\n\r\n 3. list of prognostic variables :\r\n - Temperature, Vorticity, Divergence, Surface Pressure, Atmospheric moisture (vapour, liquid, and ice) \r\n\r\n 4. Major parameterizations.\r\n\r\n a. clouds\r\n Stratiform cloud scheme (liquid, ice) following Rotstayn (1997, 1998) and Rotstayn et al. (2000). The convection scheme (see below) also produces a convective cloud fraction.\r\n\r\n b. convection\r\n\r\n\t UKMO: Gregory and Rowntree (1990) \r\n\r\n\r\n c. boundary layer\r\n\r\n\t Follows Louis (1979) with Smith (1990) enhancements.\r\n\r\n d. SW, LW radiation\r\n\r\n\t GFDL based (SW: Lacis and Hansen 1974; LW: Fels and Schwarzkopf 1975, 1981; Fels 1985; Schwarzkopf and Fels 1991).\r\n\r\n e. any special handling of wind and temperature at top of model\r\n\r\n Temperature at top of model for radiation code by simple extrapolation (using vertical coordinate) from top 2 levels.\r\n\r\nB. Ocean\r\n\r\n\r\n 1. resolution\r\n\r\n - Horizontal: Matching the T63 atmospheric model, but twice the meridional resolution ~1.875 degrees EW by approximately 0.84 degrees NS.\r\n\r\n - Vertical: 31 levels, spacing increasing with depth, from 10 m at the surface to 400 m in the deep ocean.\r\n\r\n\r\n 2. numerical scheme/grid\r\n MOM2.2 (Pacanowski 1996) model code using Arakawa B grid, leapfrog time stepping. The \"quicker\" scheme is used for tracer advection, see Leonard (1979) and Pacanowski (1996). Vertical coordinate is layers of prescribed depth (rigid lid). Freshwater flux at surface derived from P-E, river runoff, and ice brine rejection terms, then converted to a virtual salt flux.\r\n\r\n\r\n 3. list of prognostic variables and tracers\r\n\tVelocities U and V, Temperature and Salinity.\r\n\r\n 4. Prameterizations. \r\n\r\n\ta. eddy parameterization\r\n\t\tAdiabatic eddy-induced transport via the Griffies (1998) implementation of the Gent and McWilliams (1990) scheme.\r\n\t\tVertical mixing of tracers via a modified form of Bryan and Lewis (1979) profile. For tropical regions (15 degreesS to 15 degreesN), the profile is modified to have values decreasing to near zero at the surface.\r\n\r\n\tb. bottom boundary layer treatment and/or sill overflow treatment\r\n\t\tNone.\r\n\r\n\tc. mixed-layer treatment\r\n\t\tInteger Power vertical mixing scheme (Wilson 2000, 2002), based on the Pacanowski and Philander (1981) scheme.\r\n\r\n\td. sunlight penetration\r\n\t\tPaulson and Simpson (1977) dual exponential formulation, using turbidity specified in terms of Jerlov (1976) water types (spatially varying, time invariant). \r\n\r\n\te. tidal mixing\r\n\t\tNone\r\n\r\n\tf. river mouth mixing\r\n\t\tNone.\r\n\r\n\tg. mixing isolated seas with the ocean\r\n\t\tAchieved by lateral mixing (at same latitude) to nearest world ocean grid point at a prescribed rate (e.g. Hudson Bay, Mediterranean).\r\n\r\n\th. treatment of North Pole \"singularity\" \r\n\t\tArtificial island with Fourier filtering for latitudes close to North Pole.\r\n\r\nC. sea ice \r\n\r\n 1. horizontal resolution, number of layers, number of thickness categories\r\n\tCoded as part of the atmospheric model, with the same resolution - equivalent T63 (1.875 degrees EW by approximately 1.875 degrees NS). 1 or 2 ice layers depending upon ice depth. Snow on ice treated as an additional layer. Deep snow to white ice treatment.\r\n\r\n 2.numerical scheme/grid\r\n\t- Arakawa B-grid (T points match spectral AGCM grid points), NCAR based advection scheme in terms of divergence field (Brieglib). Leapfrog timestepping.\r\n\r\n 3.list of prognostic variables\r\n\tIce depth; Ice temperature(s) (1 or 2 layers); Snow depth; Snow temperature(1 layer); Brine heat reservoir; Leads fraction; Temperature of mixed layer in leads and under ice.\r\n\r\n\r\n 4. completeness\r\n\tThermodynamics - Semtner (1976) 3 layer thermodynamics\r\n\r\n\tRheology - Flato and Hibler (1990), O'Farrell (1998)\r\n\r\n\tLeads - Computed fraction, with lateral ice growth/melting\r\n\r\n\tSnow on ice - Has internal layer temperature, surface temperature, ice-snow interface temperature.\r\n\r\n 5. treatment of salinity in ice\r\n\r\n\tIce salinity set at 0.01\r\n\r\n 6. brine rejection treatment\r\n\r\n\tIce formation/melting gives brine rejection/uptake (relative to 0.035 reference).\r\n\r\n 7. treatment of the North Pole \"singularity\"\r\n\r\n\tArtificial island at North Pole. Ice motion filtered towards slab rotation near pole.\r\n\r\nD. Land / ice sheets\r\n\r\n\tMOSES II land surface scheme see Cox et al., 1999 and Essery et al., 2003, given in the Johns et al. 2006 reference. Same resolution as atmospheric model.\r\n\r\n\tresolution \r\n\r\n\tFor details of land/vegetation scheme see technical report (Gordon et al, 2002).\r\n\tThe Land model has T63 resolution, and 6 soil layers (temperature and water/ice).\r\n\tThere are 9 soil types and 13 vegetation types (one soil type and one vegetation type per grid point). No tiling, except each land point has prescribed amount of vegetation and bare ground. Separate flux calculations for each. \r\n\r\n\t1. treatment of frozen soil and permafrost\r\n\r\n\t\tWater in soil is allowed to freeze.\r\n\r\n\t2. treatment of surface runoff and river routing scheme\r\n\t\tSurface runoff taken instantly to oceans by downslope method.\r\n\r\n\t3. treatment of snow cover on land\r\n\t\tS now on land has 3 layers (temperatures, snow densities), total snow mass, age dependent albedo.\r\n\r\n\t4. description of water storage model and drainage\r\n\r\n\t\tEach grid point has an assosciated field capacity. Drainage from lowest soil level if moisture exceeds field capacity.\r\n\r\n\t5. surface albedo scheme\r\n\t\tLand surface albedo taken from Sib data set (varying monthly). Snow albedo changes according to snow age and zenith angle.\r\n\r\n\t6. vegetation treatment\r\n\t\tCanopy: big-leaf model\r\n\r\n\t7. list of prognostic variables\r\n\r\n\t\t- Surface temperature;\r\n\t\t-6 levels of soil temperature and water amount;\r\n\t\t-If land is frozen, then ice amount per 6 levels;\r\n\t\t- Moisture amount on vegetation canopy;\r\n\t\t- Puddle depth on land;\r\n\t\t- If snow on land:\r\n\t\t- 3 snow layer temperatures,\r\n\t\t- 3 snow densities,\r\n\t\t- Total snow mass,\r\n\t\t- Snow age.\r\n\t\r\n\t8. ice sheet characteristics \r\n\r\n\t\tsheets not included.\r\n\r\nE. coupling details\r\n\r\n\t1. frequency of coupling\r\n\t\tEvery timestep (15 minutes)\r\n\r\n\t2. Are heat and water conserved by coupling scheme?\r\n\t\tYes.\r\n\t3. list of variables passed between components:\r\n\t\r\n\r\n\t\r\n\t\tThe CSIRO Mk3 coupled model consists of 2 major components:\r\n\t\t\t(a) The AGCM + Land + Ice model (the \"atmosphere\" below)\r\n\t\t\t(b) The Ocean model\r\n\t\t\t\ta. atmosphere &#8211; ocean \r\n\t\t\t\t\t- Heat flux\r\n\t\t\t\t\t- Water flux\r\n\t\t\t\t\t- Solar flux into ocean\t\t\t- Surface stresses.\r\n\r\n\t\t\t\tb. ocean - atmosphere\r\n\t\t\t\t\t- Sea surface temperature\r\n\t\t\t\t\t- Ocean surface velocities u,v (for driving ice model within AGCM)\r\n\r\n\t4. Flux adjustment? \r\n\t\tNone\r\n\r\n\r\n The HECToR (High-End Computing Terascale Resource) supercomputer, located at the University of Edinburgh, Cray XE6 system consisted of (by HECToR phase 3) 30 cabinets with a total of 704 compute blades. Each blade contained four compute nodes giving a total of 2816 compute nodes, each with two 16-core AMD Opteron 2.3GHz Interlagos processors, amounting to a total of 90,112 cores. Each 16-core socket was coupled with a Cray Gemini routing and communications chip. Each 16-core processor shared 16Gb of memory, giving a system total of around 90 Tb. The theoretical peak performance of the phase 3 system was over 800 Tflops. In addition, the system had a shared, high-performance parallel filesystem consisting of over 1 PB of high-performance RAID disks. The disks were globally accessible from any compute node, utilising the Lustre distributed parallel file system. The archiving system was based on Symantec's Enterprise NetBackup consisting of 1300 800GB tapes, with a maximum capacity of approximately 1.02 PetaBytes.\r\n", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1595/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1596/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1597/?format=api" ] }, { "ob_id": 2302, "uuid": "56ff45e71a9d493eb93f36787aef45f3", "title": "Hadley Centre Regional Model 3 (HadRM3) deployed on HECToR (High-End Computing Terascale Resource) Supercomputer", "abstract": "This computation involved: Hadley Centre Regional Model 3 (HadRM3) deployed on HECToR (High-End Computing Terascale Resource) Supercomputer.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1599/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1600/?format=api" ] }, { "ob_id": 2473, "uuid": "7604b44ce9614167becd9334cf809260", "title": "ECMWF trajectory model deployed on ECMWF Computer", "abstract": "This computation involved: ECMWF trajectory model deployed on ECMWF Computer. ECMWF model used to produce air parcel trajectories. The European Centre for Medium-Range Weather Forecasts (ECMWF, the Centre) is an international organisation supported by 28 States, based in Reading, west of London, in the United Kingdom.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1732/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1733/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1734/?format=api" ] }, { "ob_id": 2545, "uuid": "f20b7a451ab74f5490ee5a1777a4100f", "title": "GEOS-1 multiyear assimilation deployed on NASA Global Modelling and Assimilation Office (GMAO)", "abstract": "This computation involved: GEOS-1 multiyear assimilation deployed on NASA Global Modelling and Assimilation Office (GMAO). GEOS-1 is an assimilation system developped by NASA GMAO to produce the 4D Assimilation Monthly Mean Subset Data available on the CIDC cd-rom. The Global Modeling and Assimilation Office (GMAO) was formed from the Data Assimilation Office (DAO), which focused on atmospheric modeling and data assimilation, and the NASA Seasonal-to-Interannual Prediction Project (NSIPP), which focused on coupled (ocean-atmosphere-land-surface) climate modeling and prediction and on ocean and land data assimilation. In addition to developing, integrating and using these systems for research, GMAO routinely generates products for use by some of NASA's instrument teams and by the U.S. operational climate prediction centers (NOAA's National Centers for Environmental Prediction (NCEP) and the International Research Institute for Climate Prediction (IRI)). GMAO addresses the optimal use of satellite and in situ observations to generate research quality data sets for climate analyses and also for weather, climate, and air quality forecasts. Their modeling and assimilation research includes coupling to and assimilation of atmospheric chemistry and ocean biology and carbon.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1773/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1774/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1775/?format=api" ] }, { "ob_id": 2548, "uuid": "8c64e3f3cb2f4a279402291ec7ed1d73", "title": "DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on NOAA Satellite series - 7 to 14", "abstract": "This computation involved: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on NOAA Satellite series - 7 to 14.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 2554, "uuid": "0b8d1b62088c49f591445d83d3b5eb15", "title": "DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on NOAA-10", "abstract": "This computation involved: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on NOAA-10.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 2560, "uuid": "8fb71ffb892a48cfa9b4484576d11804", "title": "DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on NOAA-9", "abstract": "This computation involved: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on NOAA-9.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 2565, "uuid": "7b4c1078395e4cb8b1c3339d51b49022", "title": "deployed on Earth Radiation Budget Satellite (ERBS)", "abstract": "This computation involved: deployed on Earth Radiation Budget Satellite (ERBS).", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 2575, "uuid": "58bc7ad88746427ba065abf200268f0d", "title": "DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Solar Maximum Mission (SMM) satellite", "abstract": "This computation involved: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Solar Maximum Mission (SMM) satellite. The Solar Maximum Mission (SMM) spacecraft was launched on February 14, 1980, near the height of the solar cycle, to enable the solar phsyics community to examine, in more physically meaningful detail than ever before, the most violent aspect of solar activity: flares. SMM recorded its final data in November, 1989.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 2588, "uuid": "1286e297407f4239806e83739c75d02e", "title": "ISCCP-C2 products processing deployed on NASA Goddard Institute for Space Studies (GISS)", "abstract": "This computation involved: ISCCP-C2 products processing deployed on NASA Goddard Institute for Space Studies (GISS). A combination of satellite-measured radiances, ice/snow cover dataset and TOVS atmospheric temperature/humidity are used by the International Satellite Cloud Climatology Project (ISSCP) to produce a global dataset on cloud and surface variables. Operational data collection and processing for ISCCP have been underway since July 1983. The NASA Goddard Institute for Space Studies (GISS), at Columbia University in New York City, is a laboratory of the Earth Sciences Division of NASA's Goddard Space Flight Center and a unit of the Columbia University Earth Institute. Research at GISS emphasizes a broad study of global climate change.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1796/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1797/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1798/?format=api" ] }, { "ob_id": 2591, "uuid": "eb7f900fa3a14e84866c7e9dde1c2282", "title": "ISCCP-D2 products processing deployed on NASA Goddard Institute for Space Studies (GISS)", "abstract": "This computation involved: ISCCP-D2 products processing deployed on NASA Goddard Institute for Space Studies (GISS). A combination of satellite-measured radiances, TOVS atmospheric temperature/humidity and ice/snow data are used by the International Satellite Cloud Climatology Project (ISCCP) to produce a global dataset on cloud and surface variables.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1800/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1801/?format=api" ] }, { "ob_id": 2594, "uuid": "772075e31bcf4ecf9a25f195ce8ad6df", "title": "SRB satellite Pinker algorithm using ISCCP-C1 and ERBE data deployed on NASA Langley Atmospheric Science Data Center (ASDC)", "abstract": "This computation involved: SRB satellite Pinker algorithm using ISCCP-C1 and ERBE data deployed on NASA Langley Atmospheric Science Data Center (ASDC). The primary data source is the International Satellite Cloud Climatology Project (ISCCP) C1 data product. Using the ISCCP C1 parameters as input, SRB results are generated using two different algorithms. The Pinker algorithm (developed jointly by Drs. R.T. Pinker and I. Laszlo form the University of Maryland) is a physical model which uses an iterative procedure based on delta-Eddington radiative transfer calculations. The Staylor algorithm (developed by Mr. W.F. Staylor from the NASA Langley Research Center) is a parameterized physical model in which both cloud and aerosol transmission characteristics have been separately tuned to historical data at various locations around the globe. Earth Radiation Budget Experiment (ERBE) data are also used as input to the models. The Atmospheric Science Data Center (ASDC) at NASA Langley Research Center is responsible for the processing, archival, and distribution of NASA Earth science data in the areas of radiation budget, clouds, aerosols, and tropospheric chemistry. The Data Center was established in 1991 to support the Earth Observing System (EOS) as part of NASA's Earth Science enterprise and the U.S. Global Change Research Program, and is one of several Distributed Active Archive Centers (DAACs) sponsored by NASA as part of the Earth Observing System Data and Information System (EOSDIS). The Data Center specializes in atmospheric data important to understanding the causes and processes of global climate change and the consequences of human activities on the climate.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1803/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1804/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1805/?format=api" ] }, { "ob_id": 2597, "uuid": "1a94c5794a364e5abc5970f8536a6dc1", "title": "SRB satellite Staylor algorithm using ISCCP-C1 and ERBE data deployed on NASA Langley Atmospheric Science Data Center (ASDC)", "abstract": "This computation involved: SRB satellite Staylor algorithm using ISCCP-C1 and ERBE data deployed on NASA Langley Atmospheric Science Data Center (ASDC). The primary data source is the International Satellite Cloud Climatology Project (ISCCP) C1 data product. Using the ISCCP C1 parameters as input, SRB results are generated using two different algorithms. The Pinker algorithm (developed jointly by Drs. R.T. Pinker and I. Laszlo form the University of Maryland) is a physical model which uses an iterative procedure based on delta-Eddington radiative transfer calculations. The Staylor algorithm (developed by Mr. W.F. Staylor from the NASA Langley Research Center) is a parameterized physical model in which both cloud and aerosol transmission characteristics have been separately tuned to historical data at various locations around the globe. Earth Radiation Budget Experiment (ERBE) data are also used as input to the models.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1807/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1808/?format=api" ] }, { "ob_id": 2600, "uuid": "a9c8220b6acf467682c966c37a36a9c9", "title": "Bishop and Rossow's fast radiative algorithm version 2 deployed on NASA Goddard Institute for Space Studies (GISS)", "abstract": "This computation involved: Bishop and Rossow's fast radiative algorithm version 2 deployed on NASA Goddard Institute for Space Studies (GISS). Bishop and Rossow (1991) developed a fast radiative transfer algorithm for calculating the downwelling surface solar irradiance which uses the total cloud amount from the International Satellite Cloud Climatology Project(ISCCP) as an important input parameter.Their algorithm has gone through three versions, reprocessing using the version 3 algorithm is in progress.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1810/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1811/?format=api" ] }, { "ob_id": 2616, "uuid": "58bf64caa47e45b3b8bde528a953facc", "title": "NCEP Sea Surface data processing deployed on NOAA National Centers for Environmnetal Prediction (NCEP)", "abstract": "This computation involved: NCEP Sea Surface data processing deployed on NOAA National Centers for Environmnetal Prediction (NCEP). Data processing used by NCEP to produce the Sea Surface Temperature dataset (an Optimal Interpolation analysis was used to combine measurements from satellite-borne instruments and in situ ship and buoy platforms). \n\nMetadata document", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1817/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1818/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1819/?format=api" ] }, { "ob_id": 2619, "uuid": "2d9ea3dcea824f2a88cdafa1b4f77cac", "title": "UEA - Jones et al Monthly Surface air temperature anomalies data processing deployed on Climate Research Unit (CRU) at UEA", "abstract": "This computation involved: UEA - Jones et al Monthly Surface air temperature anomalies data processing deployed on Climate Research Unit (CRU) at UEA. Monthly Surface air temperature anomalies for the period 1851-1996 have been calculated by the Climate Research Unit (CRU) of the University of East Anglia, Norwich, England, using data from several sources ( Jones et al., 1986 a, b and c, and 1991). The Climatic Research Unit is widely recognised as one of the world's leading institutions concerned with the study of natural and anthropogenic climate change. \nConsisting of a staff of around thirty research scientists and students, the Unit has developed a number of the data sets widely used in climate research, including the global temperature record used to monitor the state of the climate system, as well as statistical software packages and climate models. \nIt is located at the Univeristy of East Anglia (UEA) in Norwich, UK.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1821/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1822/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1823/?format=api" ] }, { "ob_id": 2622, "uuid": "c58130464ad548adb9ffb9926b802645", "title": "UEA - Jones et al. Southern Oscillation Index (SOI) data processing deployed on Climate Research Unit (CRU) at UEA", "abstract": "This computation involved: UEA - Jones et al. Southern Oscillation Index (SOI) data processing deployed on Climate Research Unit (CRU) at UEA. Data processing used by CRU at UEA to produce the Southern Oscillation Index (SOI) dataset.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1825/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1826/?format=api" ] }, { "ob_id": 2625, "uuid": "2a299b6f6bc34f91bc690cfc033a02c5", "title": "GISS Global Mean Surface Air Temperature anomalies data processing deployed on NASA Goddard Institute for Space Studies (GISS)", "abstract": "This computation involved: GISS Global Mean Surface Air Temperature anomalies data processing deployed on NASA Goddard Institute for Space Studies (GISS). Data analysis used by GISS to produce the Global Mean Surface Air Temperature Anomalies dataset.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1828/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1829/?format=api" ] }, { "ob_id": 2628, "uuid": "03914d71eb85427ba8190c1689a4d738", "title": "DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Defense Meteorological Satellite Program (DMSP) Satellites", "abstract": "This computation involved: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Defense Meteorological Satellite Program (DMSP) Satellites. DMSP satellites are used for strategic and tactical weather prediction to aid the U.S. military in planning operations at sea, on land and in the air. Equipped with a sophisticated sensor suite that can image visible and infrared cloud cover and measure precipitation, surface temperature, and soil moisture, the satellite collects specialized global meteorological, oceanographic, and solar-geophysical information in all weather conditions. The DMSP constellation comprises two spacecraft in near-polar orbits, C3 (command, control and communications), user terminals and weather centers.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 2641, "uuid": "b6939065c2a4480b959d42da8c24f3ad", "title": "GPCC Global Rain Gauge Data Processing deployed on Global Precipitation Climatology Centre (GPCC)", "abstract": "This computation involved: GPCC Global Rain Gauge Data Processing deployed on Global Precipitation Climatology Centre (GPCC). Processing used by the Global Precipitation Climatology Centre (GPCC) to produce the Global Rain Gauge Analysis data. GPCC is operated by the Deutscher Wetterdienst (National Meteorological Service of Germany) as a contribution to international climate observation and research activities. The Centre participates in international programs and projects such as GEWEX and ACSYS of the World Climate Research Programme, WCP-Water and in the development of GCOS. It is member of the GEWEX Hydrometeorology Panel and a component of the Global Precipitation Climatology Project (GPCP).", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1839/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1840/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1841/?format=api" ] }, { "ob_id": 2644, "uuid": "7f117ca1b14a490189cc72d5caf15813", "title": "Digitizing and processing of the Food and Agriculture Organization (FAO) Soil Map of the World deployed on Earth Resources Observation and Science (EROS)", "abstract": "This computation involved: Digitizing and processing of the Food and Agriculture Organization (FAO) Soil Map of the World deployed on Earth Resources Observation and Science (EROS). The original source maps are the Soil Map of the World, which was produced by the Food and Agriculture Organization (FAO) of the United Nations Educational, Scientific, and Cultural Organization (UNESCO) in 10 volumes between 1970 and 1978. It provides the most detailed, globally consistent soil data. The Earth Sciences and Resource Institute (ESRI) digitized the data under contract to the United Nations Environment Program (UNEP) and the FAO in 1984. The EROS Data Center constructed the data sets that were later used to derive the global array of average slope. The Center for Earth Resources Observation and Science (EROS) is a data management, systems development, and research field center for the U.S. Geological Survey's (USGS) Geography Discipline.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1843/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1844/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1845/?format=api" ] }, { "ob_id": 2649, "uuid": "507b05c935b24f4aa8bdbbfbe57743e6", "title": "Meteosat Second Generation 1 (MSG-1) or METEOSAT-8", "abstract": "Deployed on Meteosat Second Generation 1 (MSG-1) or METEOSAT-8. Launched on 28 August 2002, the first Meteosat Second Generation (MSG) satellite became operational on 29 January 2004, when it was redesignated Meteosat-8. Since then it has continuously returned highly detailed imagery of Europe, the North Atlantic and Africa every 15 minutes, for operational use by meteorologists.\r\n MSG-1 has a nominal lifetime of seven years.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 2657, "uuid": "826c0ac2e1a24039acdaefe08998e6a1", "title": "DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Meteosat Second Generation 2 (MSG-2) or METEOSAT-9", "abstract": "This computation involved: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Meteosat Second Generation 2 (MSG-2) or METEOSAT-9. The second MSG was launched on 21 December 2005 on the same type of launcher as its predecessor - a standard Ariane 5 - from the same launch site - Kourou in French Guiana. It is currently in the same fixed section of orbital space as MSG-1 in geostationary orbit, close to where the equator meets the Greenwich meridian. \nThe reason for the duplication is simply to guarantee continuity of service in case of satellite failure. Weather satellites have become so crucial a part of our daily life that any long gap in service coverage has become inconceivable.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 2745, "uuid": "76e6d2cbed924d9197447e9fe84160fc", "title": "Deployed on European Remote Sensing satellite 2 (ERS-2)", "abstract": "This computation involved: deployed on European Remote Sensing satellite 2 (ERS-2). European Remote Sensing satellite Two (ERS-2), successor and nearly identical to ERS-1. It follows the same orbit as ERS-1 and was launched in April 1995.\r\n\r\nERS-2 was nearly identical to ERS-1. The platform is based on the design developed for the French SPOT satellite. Payload electronics accommodated in a box-shaped housing on the platform; antennas fitted to a bearing structure. \r\nERS-2 carries the following instruments:\r\n\r\nAMI - active microwave instrument consisting of a synthetic aperture radar (SAR) and a wind scatterometer (both in the C-band). \r\nRA- radar altimeter: takes precise measurements of the distance from the ocean surface and of wave heights. \r\nATSR - along-track scanning radiometer (operating in the infra-red and visible ranges): measures sea surface temperatures and the vegetation cover of land surfaces. \r\nGOME - global ozone monitoring experiment, an absorption spectrometer which measures the presence of ozone, trace gases and aerosols in the stratosphere and troposphere. \r\nMS - microwave sounder: supplies data on atmospheric humidity. \r\nPRARE - precise range and range rate equipment: ERS orbit and trajectory determination. \r\nLRR - laser reflector: determines satellite position using ground-based laser stations. \r\nIDHT - instrument data handling and transmission: temporary on-board data storage by means of two 6.5 GBit tape recorders, equivalent to the data volume acquired in one orbit. Recording, formatting and transmission of data at 105 Mbit/s (transmission of SAR imaging data in real time), or 15 Mbit/s (transfer from tape recorder).\r\n\r\n", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 2754, "uuid": "d71e8bb4561f4b0ba48d37e21f7717ef", "title": "SLIMCAT model deployed on Leeds computer", "abstract": "SLIMCAT model deployed on Leeds computer. SLIMCAT was a three-dimensional (3D) off-line chemical transport model (CTM). The model used winds and temperatures from meteorological analyses (e.g. from the UK Met Office or ECMWF) to specify the atmospheric transport and temperatures and calculates the abundances of chemical species in the troposphere and stratosphere. The model had the option of detailed chemical scheme(s) for the stratosphere and troposphere. \r\n\r\nThe model can be used to simulate the past and current atmosphere, help interpret observations, and to diagnose the extent of problems such as stratospheric ozone depletion or tropospheric pollution. This model was developed at the University of Leeds, UK.\r\n\r\n== Introduction ==\r\n\r\nAround 1995 Martyn Chipperfield (University of Leeds) wrote SLIMCAT. This was a stratosphere-only version of TOMCAT formulated on isentropic levels. At this time TOMCAT became a 'tropospheric' model and various people in Cambridge helped to add treatments of e.g. convection, boundary layer mixing, and tropospheric chemistry. Recently, SLIMCAT has been extended downwards to include the troposphere. As the two former models were so similar, it made maintenance/development easier to merge TOMCAT and SLIMCAT into a single library with a choice of vertical coordinate (and other things), so that one model covers all of the applications. Depending on the coordinate use, the model is still referred to as TOMCAT or SLIMCAT.\r\n\r\n=== Key Details ===\r\n\r\n - Variable resolution. Typical resolutions are 5 x 5 degrees for multiannual runs to up to 1 x 1 degree.\r\n - Forced by meteorological analyses, usually ECMWF and sometimes UKMO.\r\n -Options of detailed stratospheric or tropospheric chemistry schemes.\r\n- Written in Fortran (f77, f90). Runs on most platforms (including vector machines). Parallelised using OpenMP and MPI.\r\n", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1913/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1914/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1915/?format=api" ] }, { "ob_id": 2870, "uuid": "ea1b802787ae4d868cac917508b4dec9", "title": "MIT General Circulation Model (MITgcm) run by Climate Research Unit (CRU) at UEA", "abstract": "This computation involved: MIT General Circulation Model (MITgcm) deployed on Climate Research Unit (CRU) at UEA. \r\nMITgcm (MIT General Circulation Model) is a numerical model designed for study of the atmosphere, ocean, and climate. A novel feature of MITgcm is its ability to simulate, using one basic algorithm, both atmospheric and oceanographic flows at both small and large scales. Its adjoint capability enables it to be applied to parameter and state estimation problems. The non-hydrostatic capability allows the model to simulate overturning and mixing processes. When used in conjunction with the finite volume representation of topography (known as shaved-cells or partial steps using the method of cut cells) the model provides a flexible tool for studying mixing process and dynamical interactions with steep topography.\r\n\r\nMITgcm can be used to study both atmospheric and oceanic circulation. It has a non-hydrostatic capability and supports horizontal orthogonal curvilinear coordinates. It has finite volume treatment of topography and supports a wide range of physical parameterizations. It has tangent linear and adjoint code maintained alongside the forward model, and can run on your pc, workstation or parallel computer using flexible domain decomposition.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1977/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1978/?format=api" ] }, { "ob_id": 2961, "uuid": "35e0c11748fd4152817a3d374dbd9193", "title": "Man: Eddy Correlation Technique deployed on Kuujjuarapik, Hudson Bay, Canada", "abstract": "This computation involved: Man: Eddy Correlation Technique deployed on Kuujjuarapik, Hudson Bay, Canada. The eddy covariance (eddy correlation, eddy flux) technique is a prime atmospheric flux measurement technique to measure and calculate vertical turbulent fluxes within atmospheric boundary layers. It is a statistical method used in meteorology and other applications that analyzes high-frequency wind and scalar atmospheric data series, and yields values of fluxes of these properties. Such flux measurements are widely used to estimate momentum, heat, water, and carbon dioxide exchange, as well as exchange of methane and other trace gases.\n\nMetadata document", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/2045/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/2046/?format=api" ] }, { "ob_id": 2981, "uuid": "4fe5d6e442384c9b975ce1d4afd1e647", "title": "Methven trajectory model deployed on Reading University computer", "abstract": "This computation involved: Methven trajectory model deployed on Reading University computer. John Methven, Reading University's reverse domain filling trajectory model. This can also give accumulated anthropogenic and biogenic emissions along trajectories.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/2059/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/2060/?format=api" ] }, { "ob_id": 2984, "uuid": "9f30b17c7e2b4ab89ecbdff1ba5a64e0", "title": "TOMCAT model deployed on Leeds computer", "abstract": "This computation involved: TOMCAT model deployed on Leeds computer. The TOMCAT model is an off-line Chemical Transport Model (CTM) developed at the University of Leeds.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/2062/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/2063/?format=api" ] }, { "ob_id": 3136, "uuid": "786d32ea0b6b4c99ba71f79f9e972c76", "title": "Methven trajectory model deployed on Reading University computer", "abstract": "This computation involved: Methven trajectory model deployed on Reading University computer.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/2150/?format=api" ] }, { "ob_id": 3139, "uuid": "78ea90a3760b40728c606c1cd151eab4", "title": "ECMWF trajectory model deployed on BADC Computers", "abstract": "This computation involved: ECMWF trajectory model deployed on BADC Computers.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/2153/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/2154/?format=api" ] }, { "ob_id": 3317, "uuid": "3bdb0fcfed214ad7bc6ff32d7f1b0f46", "title": "DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Solar Maximum Mission (SMM) satellite", "abstract": "This computation involved: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Solar Maximum Mission (SMM) satellite.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 3322, "uuid": "1a1713ef20904840a5a5a85f1ce8aaad", "title": "DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Applications Explorer Mission 2 (AEM-2)", "abstract": "This computation involved: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Applications Explorer Mission 2 (AEM-2). The Applications Explorer Mission 2 (AEM-2) was launched on 18th February 1979 and provided data for 2 years and 9 months. Its paylod included SAGE I.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 3330, "uuid": "c01467eda1da42e88ff58e0653251b43", "title": "DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Synchronous Meteorological Satellites (SMS)", "abstract": "This computation involved: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Synchronous Meteorological Satellites (SMS). Weather satellites in geostationary orbit, managed by NASA for NOAA (National Oceanic and Atmospheric Administration). SMS-1 and -2 were development satellites leading up to the GOES (Geostationary Operational Environment Satellite) program; in fact, SMS 3 became operational as GOES-1. All the launches took place from Cape Canaveral using Delta 2914 rockets: SMS-1 launched on May 17, 1974 and failed on January 29, 1981; SMS-2 launched on February 6, 1975 and failed on August 5, 1981; SMS-3 (GOES-1) launched on October 16, 1975 and failed on February 3, 1985.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 3337, "uuid": "c252259df737447185cc29054dea0bee", "title": "DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Geostationary Operational Environmental Satellite (GOES) series - GOES-1 to 7", "abstract": "This computation involved: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Geostationary Operational Environmental Satellite (GOES) series - GOES-1 to 7. The GOES program grew out of the successful use of geostationary weather satellites with the experimental SMS -1 & -2. Like many weather satellites, GOES was developed and launched by NASA, but once operational GOES was turned over to NOAA for day-to-day administration. The provision of timely global weather information, including advance warning of developing storms, is the primary function of the GOES. GOES imagery is commonly featured on many TV weather reports across the United States and the world. The GOES Program maintains 2 satellites operating in conjunction to provide observational coverage of 60% of the Earth. The GOES satellite system has remained an essential cornerstone of weather observations and forecasting for 25 years.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 3344, "uuid": "4be9904781774fe8a36d9684bbd34fd6", "title": "DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Geostationary Operational Environmental Satellite (GOES) series - GOES-1 to 7", "abstract": "This computation involved: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Geostationary Operational Environmental Satellite (GOES) series - GOES-1 to 7.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 3350, "uuid": "822c96a661d448dfbeaf4a5469535bec", "title": "Berlin Stratospheric Monthly mean Temperatures data processing deployed on Free University of Berlin, Institute of Meteorology", "abstract": "This computation involved: Berlin Stratospheric Monthly mean Temperatures data processing deployed on Free University of Berlin, Institute of Meteorology. Data processing developped by Dr. Karin Labitzke to produce the Berlin Stratospheric Monthly mean temperature data set. The Freie Universitat Berlin is one of the leading universities in the world and distinguishes itself through its modern and international character. It is also one of the largest universities in Germany, offering degree courses in more than a hundred subjects for 35,500 students of which 15 per cent come from other countries.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/2247/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/2248/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/2249/?format=api" ] }, { "ob_id": 3353, "uuid": "e3a575ddbbe445efa14047f08e7fe4c0", "title": "CAC SSTs data processing deployed on NOAA Climate Prediction Center (CPC)", "abstract": "This computation involved: CAC SSTs data processing deployed on NOAA Climate Prediction Center (CPC). Data processing used to produce the Climate Analysis Center Sea Surface Temperatures. The NOAA Climate Prediction Center (CPC) serves the public by assessing and forecasting the impacts of short-term climate variability, emphasizing enhanced risks of weather-related extreme events, for use in mitigating losses and maximizing economic gains.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/2251/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/2252/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/2253/?format=api" ] }, { "ob_id": 3377, "uuid": "6443324478f34524a14882fb215ffd83", "title": "UEA - Jones et al. Southern Oscillation Index (SOI) data processing deployed on Climate Research Unit (CRU) at UEA", "abstract": "This computation involved: UEA - Jones et al. Southern Oscillation Index (SOI) data processing deployed on Climate Research Unit (CRU) at UEA.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/2273/?format=api" ] }, { "ob_id": 3380, "uuid": "7a3099c1be4e48d3b5984709e58fa6e6", "title": "UEA - Jones et al Monthly Surface air temperature anomalies data processing deployed on Climate Research Unit (CRU) at UEA", "abstract": "This computation involved: UEA - Jones et al Monthly Surface air temperature anomalies data processing deployed on Climate Research Unit (CRU) at UEA.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/2276/?format=api" ] }, { "ob_id": 3383, "uuid": "f2a3549c8ba042d48b4ed67b4dd81e79", "title": "GISS Global Mean Surface Air Temperature anomalies data processing deployed on NASA Goddard Institute for Space Studies (GISS)", "abstract": "This computation involved: GISS Global Mean Surface Air Temperature anomalies data processing deployed on NASA Goddard Institute for Space Studies (GISS).", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/2279/?format=api" ] } ] }