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&offset=400
{ "count": 3949, "next": "https://api.catalogue.ceda.ac.uk/api/v2/computations/?format=api&limit=100&offset=500", "previous": "https://api.catalogue.ceda.ac.uk/api/v2/computations/?format=api&limit=100&offset=300", "results": [ { "ob_id": 14620, "uuid": "4271cba420254cfd8c366c1239afa826", "title": "Latest Fog Products Meteosat Second Generation 2 (MSG-2) or METEOSAT-9", "abstract": "Latest Fog Products derived from Meteosat Second Generation 2 (MSG-2) or METEOSAT-9.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 14626, "uuid": "f476449646a444fd8568d00705c1da9d", "title": "Cloud top height and temperature Products Meteosat Second Generation 2 (MSG-2) or METEOSAT-9", "abstract": "Cloud top height and temperature derived from Meteosat Second Generation 2 (MSG-2) or METEOSAT-9.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 14636, "uuid": "e81e8a74308a478598a8e8229a59e803", "title": "Infra red Products Meteosat Second Generation 2 (MSG-2) or METEOSAT-9", "abstract": "Infra red images derived from Meteosat Second Generation 2 (MSG-2) or METEOSAT-9.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 14689, "uuid": "ce5c511a1f204e0eab83e7c4b5669cd0", "title": "Visible imagery Products Meteosat Second Generation 2 (MSG-2) or METEOSAT-9", "abstract": "Visible imagery images derived from Meteosat Second Generation 2 (MSG-2) or METEOSAT-9.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 14732, "uuid": "ba4c9c7b40f94264a15dae6a9cbca977", "title": "Water Vapour imagery Products Meteosat Second Generation 2 (MSG-2) or METEOSAT-9", "abstract": "Water Vapour images derived from Meteosat Second Generation 2 (MSG-2) or METEOSAT-9.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 14765, "uuid": "2f9d6d89fe8e4c07a000ebc90327f3f5", "title": "Met Office operational unified model (UM) vn7.3 deployed on Reading computer", "abstract": "Met Office UM vn7.3 NWP model run on A Reading University Computer with diabatic theta and PV tracers with diabatic theta and PV tracers branches /dev/oma/vn7.3\\_thetra\\_residual/ revision number 15717 and /dev/LSaffin/vn7.3\\_PV\\_tracers\\_budget/ revision number 16506. Output parameters include mean sea level pressure, 3D atmospheric fields, precipitation-related surface field, diabatic theta tracers, and diabatic pv tracers", "keywords": "Met Office, UM", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 14794, "uuid": "7efa0eb3a2db48aa9616b771767258d0", "title": "MITgcm (MIT General Circulation Model", "abstract": "The MITgcm (MIT General Circulation Model) is a numerical model designed for study of the atmosphere, ocean, and climate. Its non-hydrostatic formulation enables it to simulate fluid phenomena over a wide range of scales; its adjoint capability enables it to be applied to parameter and state estimation problems. By employing fluid isomorphisms, one hydrodynamical kernel can be used to simulate flow in both the atmosphere and ocean. - See more at: http://mitgcm.org/#sthash.VhsQzz4D.dpuf", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 14797, "uuid": "4f11afbb45914ca7aef0463f5239da01", "title": "MarQUEST: Monthly Inherent Optical Properties for 1998-2007 calculated from SeaWiFS/SeaStar Level 3 products", "abstract": "The algorithm is an extension of the Sathyendranath et al. (2001) approach, based on the assumption that small cells dominate at low chlorophyll-a concentrations and large cells at high chlorophyll-a concentrations. ", "keywords": "Phytoplankton, Pigment, Size, Ocean colour, Remote sensing, Chlorophyll-a, SeaWiFS", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 14800, "uuid": "54e549f4a6b84384a97f9f96a1cc88bd", "title": "MarQUEST: Chemical species measurements for 1998-2007 calculated from SeaWiFS/SeaStar Level 3 products", "abstract": "The algorithm is an extension of the Sathyendranath et al. (2001) approach, based on the assumption that small cells dominate at low chlorophyll-a concentrations and large cells at high chlorophyll-a concentrations. ", "keywords": "Phytoplankton, Pigment, Size, Ocean colour, Remote sensing, Chlorophyll-a, SeaWiFS", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 19014, "uuid": "861c003fc43442dabb62ad72ee604c88", "title": "Computation Component: Level 1B processing algorithm applied to Sentinel 3 SRAL raw data.", "abstract": "This computation involves the Level 1 processing algorithm applied to raw Synthetic Aperture Radar Altimeter (SRAL) data. \r\n\r\nThe main algorithms of the Level-1 SAR_Ku chain are:\r\n\r\nDetermine surface type -\r\n\r\nThis algorithm computes the surface type (\"open ocean or semi-enclosed seas\", \"enclosed seas or lakes\", \"continental ice\" or \"land\") determining the position of a \"land-sea mask\" Auxiliary Data File nearest to the geolocated measurement. The latitude and longitude resolution of this land-sea mask is 2 minutes.\r\n\r\nCompute tracker ranges corrected for USO frequency drift -\r\n\r\nThis algorithm computes the USO correction from an Auxiliary Data File called \"USO file\" and this correction is applied to the tracker range. The \"USO file\" provides the real USO frequency drift measured on-board wrt the USO frequency nominal value. This algorithm also computes the tracker range rate converted into distance versus time.\r\n\r\nCompute tracker ranges corrected for internal path correction -\r\n\r\nThis algorithm computes the internal path correction from an Auxiliary Data File called \"CAL1 LTM file\" and this correction is applied to the tracker range. The \"CAL1 LTM file\" provides the internal path delay measured on-board thanks to the CAL1 calibration mode, which measures the difference of travel between the transmission and the reference lines within the altimeter. This algorithm also computes and applies the instrumental delay correction measured on-ground, due to the distance between the duplexer and the antenna reference point.\r\n\r\nCorrect the AGC for instrumental errors -\r\n\r\nThis algorithm computes the Automatic Gain Control (AGC) instrumental correction and applies this correction to the AGC. The AGC instrumental correction is computed taking into account the real gain value applied on-board and stored as a matrix table on an Auxiliary Data File called \"characterisation file\".\r\n\r\nCorrect and apply power & phase corrections -\r\n\r\nThis algorithm computes and applies to each burst the phase and power variations within all the echoes of every burst. These phase and power corrections are measured on-board through a sequence of calibration echoes in CAL1 calibration mode.\r\n\r\nCorrect the waveforms -\r\n\r\nOn-board, there is a calibration mode called CAL2 that is able to compute the Gain Profile Range Window (GPRW) that provides the information of the attenuation of the samples of the Level . The GPRW accounts for several instrumental effects (e.g. intermediate frequency filters gain response) that have an impact on the Level 0 waveforms power. This algorithm corrects these Level-0 waveforms by the GPRW instrumental effects.\r\n\r\nCompute surface locations -\r\n\r\nIn the SAR_Ku processing chain, the output measurements are referenced to surface locations along the satellite track. These surface locations correspond with the intersection of the Doppler beams with an estimation of the surface elevations. These surface locations are used along all L1 SAR_Ku processing.\r\n\r\nDetermine Doppler beams direction -\r\n\r\nThis algorithm determines the angular spacing between the instantaneous zero Doppler plane and the lines defined by the burst centre and the reference surface locations \"observed\" within the burst sequence.\r\n\r\nDoppler beams generation -\r\n\r\nThis algorithm generates the Doppler beams in the frequency domain. Each burst of pulse-limited time-domain echoes are transformed into the frequency domain using an FFT (Fast Fourier Transform) in the along-track direction.\r\n\r\nCompute and apply Doppler correction -\r\n\r\nThis algorithm computes and applied the Doppler correction to the tracker ranges. This correction is needed to remove the echoes frequency shifts due to sensor-target velocity. The Doppler correction is computed and applied in the frequency domain to each Doppler beam. This correction is a function of the emitted frequency, the pulse emitted duration, the satellite velocity of the beams, the emitted bandwidth, and the sign of the slope of the transmitted chirp.\r\n\r\nCompute and apply slant range corrections - \r\n\r\nThis algorithm computes the slant corrections (both fine and coarse) that correct the range migration due to the motion of the sensor along the orbit.\r\n\r\nRange compression - \r\n\r\nThis algorithm performs a range compression of the waveform that is the conversion of each Doppler processed burst of pulse-width time-domain echoes to the frequency domain.\r\n\r\nTracker alignment correction - \r\n\r\nThis algorithm corrects the azimuth processed echo stack for on-board tracker variation. It means that for each surface location, the waveforms are aligned before multi-looking.\r\n\r\nDoppler beams stack & multi-looking - \r\n\r\nThis algorithm computes the stacked Doppler beams (I2+Q2 power waveforms) through the non-coherent summation of all the beams corresponding to each surface location.\r\n\r\nCompute sigma0 scaling factor - \r\n\r\nThis algorithm computes the sigma0 scaling factor that is used at Level2 to determine the backscatter coefficients from the retracked amplitudes. The sigma0 scaling factor accounts for all power attenuations and gains which have an impact on the signal received on-board.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 19029, "uuid": "68e7fd451fd848ecb0b6e53dfd68ae4a", "title": "Level 1 processing algorithm applied to Sentinel 3 Ocean and Land Colour Instrument (OLCI) raw data", "abstract": "This computation involves the Level 1 processing algorithm applied to raw Ocean and Land Colour Instrument (OLCI) data. This product consists of the physical measurements from the instrument. These are Top Of Atmosphere (TOA) radiances, calibrated to geophysical units (W.m-2. sr-1 µm-1), georeferenced onto the Earth's surface, spatially resampled onto an evenly spaced grid, and annotated with illumination and observation geometry, environment data (meteorological data) and quality and classification flags.\r\nThe product is available at two spatial resolutions: full resolution and reduced resolution.\r\n\r\nThe processing involves the following steps:\r\n\r\n1. Data extraction and quality checks.\r\n2. Radiometric scaling.\r\n3. Stray light correction.\r\n4. Georeferencing.\r\n5. Pixel classification functions.\r\n6. Spatial re-sampling.\r\n7. Product formatting (into the two spatial resolutions)\r\n\r\nFor more information please see the OLCI user guide in the docs tab.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 19034, "uuid": "255d30cc4ffd418fa31919f1c08db266", "title": "Level 2 processing algorithm applied to Sentinel 3 Sea and Land Surface Temperature Radiometer (SLSTR) raw data", "abstract": "This computation involves the Level 2 processing algorithm applied to raw Sea and Land Surface Temperature Radiometer (SLSTR) data. MORE INFORMATION TO FOLLOW", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 19037, "uuid": "76958aca353a4c8095c587101d1a15ff", "title": "MPI Mainz, MPI Hamburg, Germany MAECHAM4CHEM model", "abstract": " Max Planck Institutes, Germany MAECHAM4CHEM model contribution to the WMO 2006 SCN2 simulations experiment", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 19039, "uuid": "c5d44945aa6646d2a72e5b701813b9a1", "title": "DLR Oberpfaffen- hofen, Germany E39C model", "abstract": "DLR Oberpfaffen- hofen, Germany E39C model", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 19040, "uuid": "826fb42295b4469c95b0fd6573aec1c8", "title": "Level 1 processing algorithm applied to Sentinel 3 Sea and Land Surface Temperature Radiometer (SLSTR) raw data", "abstract": "This computation involves the Level 1 processing algorithm applied to raw Sea and Land Surface Temperature Radiometer (SLSTR) data. Level 1 processing uses Level-0 products to compute radiometric measurements for each SLSTR channel in both views. This includes radiometric calibration for thermal and solar channels, several tests concerning surface and cloud flagging, and the determination of pixels' properties such as day/night, position in the instrument grid or geographical position.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 19041, "uuid": "86286b6bde1a47828b2c2befae75cf7c", "title": "National Center for Atmospheric Research WACCM model output", "abstract": "National Center for Atmospheric Research WACCM model output", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 19042, "uuid": "b1c1e993c0414c57a8e45bfb8e0d2d94", "title": "University of L'Aquila, Italy ULAQ model", "abstract": "University of L'Aquila, Italy ULAQ model", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 19043, "uuid": "6876770d93ee486a81d960261b47a77b", "title": "PMOD/WRC and ETHZ, Switzerland SOCOL model", "abstract": "PMOD/WRC and ETHZ, Switzerland SOCOL model", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 19044, "uuid": "997ea162899a44cbb8a84fab227b286b", "title": "MRI, Tsukuba, Japan MRI model", "abstract": "MRI, Tsukuba, Japan MRI model ", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 19045, "uuid": "9bf82aff5b414262ac2b7b336fb09415", "title": "Geophysical Fluid Dynamics Laboratory AMTRAC model", "abstract": "Geophysical Fluid Dynamics Laboratory AMTRAC model", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 19046, "uuid": "e07dbe51c6504ee88d7f78d45a90b6cf", "title": "Met Office UMETRAC model", "abstract": " Met Office UMETRAC model", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 19047, "uuid": "09112de154ee46128d63eb486b8f525a", "title": "Institut Pierre Simon Laplace, France LMDZrepro model", "abstract": " Institut Pierre Simon Laplace, France LMDZrepro model", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 19052, "uuid": "c86f9d26bbcd4849a52a71d46afe354f", "title": "Institut Pierre‐Simon Laplace IPSL‐CM4 model", "abstract": "Institut Pierre‐Simon Laplace IPSL‐CM4 model", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 19053, "uuid": "975e8911ec4f45d781d20116285781d4", "title": "Commonwealth Scientific and Industrial Research Organisation in collaboration with the Queensland Climate Change Centre of Excellence CSIRO‐Mk3‐6‐0 model", "abstract": "Commonwealth Scientific and Industrial Research Organisation in collaboration with the Queensland Climate Change Centre of Excellence CSIRO‐Mk3‐6‐0 model ", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 19064, "uuid": "0a83a2563bda46d286a3a3a1a44abf90", "title": "IMOGEN GCM model", "abstract": "IMOGEN GCM model", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 19065, "uuid": "46b317a6de9644f5b8c302db367a649e", "title": "GENIE-1 Model", "abstract": "GENIE is a flexible framework for climate modelling that can be used to couple together different model components of varying complexity in order to provide an appropriate modelling tool for a wide range of possible applications. GENIE has modules that describe the ocean, the atmosphere, ocean biogeochemistry, marine sedimentary processes, weathering processes, terrestrial vegetation, sea-ice and ice-sheets.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 19068, "uuid": "77c4348fc49c4fcebfa201c6185a29fa", "title": "FAMOUS Climate model", "abstract": "FAMOUS (FAst Met Office/UK Universities Simulator) is an ocean-atmosphere general circulation model of low resolution, based on version 4.5 of the UK MetOffice Unified Model.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 19069, "uuid": "f77357f8bac24338945e505812aaa490", "title": "Global Population Distribution (1990)", "abstract": "Global Population Distribution (1990), Terrestrial Area and Country Name Information on a One by One Degree Grid Cell Basis", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 19091, "uuid": "cacfe2216dee49ff99ad4571f9ca0883", "title": "Palmer drought index", "abstract": "The Palmer drought index, sometimes called the Palmer drought severity index and often abbreviated PDSI, is a measurement of dryness based on recent precipitation and temperature. It was developed by meteorologist Wayne Palmer, who first published his method in the 1965 paper Meteorological Drought for the Office of Climatology of the U.S. Weather Bureau.\r\n\r\nThe Palmer Drought Index is based on a supply-and-demand model of soil moisture. Supply is comparatively straightforward to calculate, but demand is more complicated as it depends on many factors, not just temperature and the amount of moisture in the soil but also hard-to-calibrate factors including evapotranspiration and recharge rates. Palmer tried to overcome these difficulties by developing an algorithm that approximated them based on the most readily available data, precipitation and temperature.\r\n\r\nThe index has proven most effective in determining long-term drought, a matter of several months, but it is not as good with conditions over a matter of weeks. It uses a 0 as normal, and drought is shown in terms of negative numbers; for example, negative 2 is moderate drought, negative 3 is severe drought, and negative 4 is extreme drought. Palmer's algorithm also is used to describe wet spells, using corresponding positive numbers. Palmer also developed a formula for standardizing drought calculations for each individual location based on the variability of precipitation and temperature at that location. The Palmer index can therefore be applied to any site for which sufficient precipitation and temperature data is available.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 19142, "uuid": "06420d0042b0474b9ee71c2adfbbd927", "title": "RACMO2/GR Model", "abstract": "RACMO2/GR Model", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 19144, "uuid": "a06515952fcf423781d2d3394cbf9ddf", "title": "POLCOMS-CICE Model", "abstract": "POLCOMS-CICE Model", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 19161, "uuid": "b6695dd5458a4847a2295777ad24d688", "title": "CHIME model", "abstract": "The Coupled Hadley-Isopycnic Model Experiment (CHIME). Ocean model has same horizontal resolution as in HadCM3, but uses HYCOM (Hybrid Coordinate Ocean Model) instead of HadCM3’s constant-depth coordinate model. Allows detailed examination examination of the influence influence of the vertical vertical coordinate coordinate of the ocean component in a coupled system.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 19193, "uuid": "ae0fd291c4d94dfc97d250c7dede1ce5", "title": "CRU TS3.0", "abstract": "The CRU TS3.0 data are monthly gridded fields based on daily values -hence the ASCII and netcdf files both contain monthly mean values for the various parameters.\r\n", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 19207, "uuid": "abaf95a2ba174025a34d8b6ef5289b2b", "title": "University of Reading NEMO coupled ice-ocean model v2.3", "abstract": "Model: NEMO coupled ice-ocean model v2.3\r\nConfiguration: ORCA025_LIM2 (1/4o by 46 vertical levels)\r\nData assimilated: UR025.3 assimilates in situ temperature and salinity observations that were obtained from the UK Met Office quality controlled ENACT/ENSEMBLES (EN3_v2a) dataset available from (http://www.metoffice.gov.uk/hadobs/en3/) A detailed description of the data set including the quality control processing is presented in Ingleby and Huddleston (2007). Assimilation method: Temperature profiles (T) are assimilated along with a salinity balancing increment following the method of Troccoli and Haines, 1999). Salinity profiles (S) are then assimilated along isotherms (i.e., S(T)) up to latitudes of around 50oN/S, using the methodology described by Haines et al. (2006). At higher latitudes salinity is assimilated in a univariate way on z levels. Model – data differences (innovations) are evaluated at the closest model time step, and assimilation increments are calculated every 5 days. Increments are then introduced into the model evenly over the following day (Incremental Analysis Updating, Bloom et al., 1996). Smith and Haines (2009) give more details of the assimilation methodology. Surface Forcing: Surface atmospheric forcing for UR025.3 is obtained from ECMWF ERA-Interim atmospheric reanalysis (Simmons et. al., 2007; Dee and Uppala, 2009; Dee et al., 2011). The ERA-Interim reanalysis provides 10-m wind, 2-m air humidity and 2-m air temperature to compute 6-hourly turbulent air/sea and air/sea-ice fluxes during model integration, using the bulk formula proposed by Large and Yeager (2004, 2009). Downwelling short and long wave radiative fluxes and precipitation are also provided by ERA-Interim. The river runoff is Dai and Trenberth (2002). To prevent drift in the density distributions, a sea surface salinity relaxation to the WOA05 climatology, Boyer et al (2006), is applied with a timescale of 180 days for the top 10 m at the ice-free surface, decreasing to 36 days under ice.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 19209, "uuid": "0e33b1c8c7324783996b85663e03e60b", "title": "GEOS-Chem Model", "abstract": "GEOS-Chem is a global 3-D chemical transport model (CTM) for atmospheric composition driven by meteorological input from the Goddard Earth Observing System (GEOS) of the NASA Global Modeling and Assimilation Office. It is applied by research groups around the world to a wide range of atmospheric composition problems. Scientific direction of the model is provided by the international GEOS-Chem Steering Committee and by User Working Groups. The model is managed by the GEOS-Chem Support Team, based at Harvard University and Dalhousie University with support from the US NASA Earth Science Division and the Canadian National and Engineering Research Council.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 19210, "uuid": "579d206516e24a75a67682ae318b38c4", "title": "UCL MODIS land cover algorithm", "abstract": "UCL MODIS land cover algorithm ", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 19214, "uuid": "fd9ff328352f44a5acfd30e83828a40a", "title": "AASE: Analyses of temperature, pressure, geopotential height, and horizontal wind components on constant pressure surfaces", "abstract": "The data is generated using the Goddard Space Flight Center (GSFC) STRATAN data assimilation scheme to improve upon an initial, first guess field. ", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 19222, "uuid": "30a97a092f094765877e783f97aec34c", "title": "Meteosat Geostationary Satellites First Generation visible imagery", "abstract": "Visible imagery images derived from Meteosat Geostationary Satellites First Generation visible imagery or METEOSAT-7.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 19231, "uuid": "3a513a1aa2c548c6ac8bb35eaa404276", "title": "Meteosat Geostationary Satellites First Generation water vapour imagery", "abstract": "Visible imagery images derived from Meteosat Geostationary Satellites First Generation water vapour or METEOSAT-7.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 19236, "uuid": "e239141e7c6247afbd2810701557c031", "title": "Meteosat Geostationary Satellites First Generation infra red imagery", "abstract": "Visible imagery images derived from Meteosat Geostationary Satellites First Generation infra red or METEOSAT-7.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 19243, "uuid": "dc6486e002b4462b82066ad9eb7a3790", "title": "Surface Radiation Budget", "abstract": "SRB results are generated using two different algorithms. The two methods use different approaches. Both methods apply spectral and angular corrections (based on Nimbus-7 Earth Radiation Budget (ERB) and Earth Radiation Budget Experiment (ERBE) results) which are not included in the original ISCCP data. They also separate surface from aerosol effects which is not included in ISCCP. Each method uses its own cloud algorithm which has been compared with experimental data from a number of regions. The Satellite Data Analysis Center (SDAC) also compares basic SRB results with the limited amount of ground truth data that are available. The user may have increased confidence in the SRB results for those cells wherein the two methods obtain values that differ only slightly. Caution is suggested for those cells where the two methods differ by a large amount.\r\n", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 19250, "uuid": "c4356152bb4543b2aa202b1336160f22", "title": "ATSR statistics for use with GOME Ozone profile Data", "abstract": "ATSR statistics for use with GOME Ozone profile Data", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 19719, "uuid": "1bc19e0ededa43baa4eb585e28eecd28", "title": "Stratospheric Aerosol and Gas Experiment II (SAGE II): species profiles, version 6.10", "abstract": "This computation involved: deployed on Earth Radiation Budget Satellite (ERBS).\r\n\r\nVersion 1 contained SAGE II monthly mean global colour image maps and the relevant gridded data for aerosol extinction at 1020 nm, 525 nm, 453 nm and 385 nm wavelength, ozone mixing ratio, water vapour mixing ratio and relative humidity, nitrogen dioxide mixing ratio at up 14 pressure levels, for the period January 1985 to December 1993.\r\n\r\nAs the original SAGE II measurements were made at geometrical heights, meteorological data from the National Meteorological Center (NMC) were used to determine the actual pressure heights for the SAGE II profile data and also have been used to calculate the relative humidity. For easy reference, the NMC atmospheric temperature, geometrical altitude and tropopause data used in the determination of SAGE II data are also included. Users of the image/data version 1.0 products need to be aware that these meteorological data are not measured by the SAGE II instrument itself.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 19721, "uuid": "da144f66dd31441da4ddd9e0901a2330", "title": "Stratospheric Aerosol and Gas Experiment II (SAGE II): species profiles, version 6.20", "abstract": "This computation involved: deployed on Earth Radiation Budget Satellite (ERBS). Version 1 contained SAGE II monthly mean global colour image maps and the relevant gridded data for aerosol extinction at 1020 nm, 525 nm, 453 nm and 385 nm wavelength, ozone mixing ratio, water vapour mixing ratio and relative humidity, nitrogen dioxide mixing ratio at up 14 pressure levels, for the period January 1985 to December 1993. As the original SAGE II measurements were made at geometrical heights, meteorological data from the National Meteorological Center (NMC) were used to determine the actual pressure heights for the SAGE II profile data and also have been used to calculate the relative humidity. For easy reference, the NMC atmospheric temperature, geometrical altitude and tropopause data used in the determination of SAGE II data are also included. Users of the image/data version 1.0 products need to be aware that these meteorological data are not measured by the SAGE II instrument itself.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 19722, "uuid": "8610de4f26894321bb18a7c17944e9cb", "title": "SAGE III: Level 1B transmission profiles", "abstract": "The Level 1B Transmission product contains\r\nthe SAGE III atmospheric slant path transmission\r\nprofiles at 87 spectral channels, as listed in\r\nAppendix B. The profiles are skewed vertically\r\nand extend from sea level to an altitude of 100 km\r\nin 0.5 km intervals. The standard deviation of the\r\nbinned transmission data is also provided for each reported altitude and\r\nchannel. These data have been geolocated and\r\nnormalized against exoatmospheric solar\r\nmeasurements to produce slant path transmission\r\nprofiles. Algorithm retrievals outlined in the\r\nAlgorithm Theoretical Basis Document (ATBD)\r\nare used to reduce and invert these data into the\r\nLevel 2 products listed in Appendices C and D.\r\nThe Level 1B product is only available for solar\r\nmeasurements.\r\nIn the construction of the transmission profiles,\r\natmospheric density information is used to correct\r\nfor refraction effects. This information is derived\r\nfrom temperature profiles interpolated to the\r\nlocation and time of each SAGE III event from\r\nglobal gridded meteorological analyses provided\r\nby the National Oceanic and Atmospheric\r\nAdministration’s (NOAA’s) National Center for\r\nEnvironmental Prediction (NCEP). These data\r\nextend from the surface to a pressure-altitude of\r\n0.4 hPa (~55 km). Above this altitude,\r\nclimatological temperature data are used from the\r\nGlobal Reference Atmospheric Model - 1995\r\n(GRAM95, NASA Technical Memorandum\r\n4715). The composite temperature profile\r\ninformation is included in the Level 1B data\r\nproduct.\r\nNote that the NCEP temperature product is also\r\nused to correct for molecular scattering in the\r\nLevel 2 retrieval algorithm. The retrieval of\r\ntemperature directly from the SAGE III solar\r\nmeasurements occurs later, downstream in the data \r\nLaRC 475-03-060\r\nVersion 1.4 SAGE III Data Products User’s Guide\r\n03/04\r\n6\r\nprocessing flow, and is reported in the Level 2\r\nproducts. ", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 19725, "uuid": "7f0e01aab1bf43cbbcbd8166c3563a19", "title": "SAGE III: Level 2 Solar species profiles", "abstract": "The Level 2 Solar Species products are produced from the Level 1B Transmission profiles by using algorithms.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 19732, "uuid": "42024d3f3b9f477ca8464e8e0a214674", "title": "Level 2 University of Leicester Land Surface Temperature (LST) Product (UOL_LST_2P)", "abstract": "This product is the Land Surface Temperature (LST) Level 2 data product (UOL_LST_2P) from the Advanced Along Track Scanning Radiometer (AATSR).\r\n\r\nThe Level 2 LST product provides 1km resolution AATSR-based land surface temperature and its associated uncertainties, as well as auxiliarly information. It has been produced by the University of Leicester under funding from ESA and the NCEO. The data is included as part of the official ESA (A)ATSR multimission product from the 3rd version of that dataset.\r\n\r\nThe algorithm applied for computing LST is based on the methodology originally developed by Prata (2002) in that it uses a split-window approach with model-derived regression coefficients which implicitly include the effects of emissivity. However, the updated methodology that was used here applies significantly improved auxiliary datasets for land cover, green vegetation fraction, and total column water vapour and as such is able to reduce or eliminate a wide variety of issues that were observed with the original LST product. Further details about the algorithm used for producing this dataset can be found in Ghent (in preparation).", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 19733, "uuid": "94040d987d8849938ba76f23a9d375ba", "title": "Level 3 University of Leicester Land Surface Temperature (LST) Product (UOL_LST_3P)", "abstract": "This product is the Land Surface Temperature (LST) Level 3 gridded data product (UOL_LST_3P) from the Advanced Along Track Scanning Radiometer (AATSR), produced by the University of Leicester.\r\n\r\nThe Level 3 product provides global gridded Land Surface Temperature and its associated uncertainty, as well as additional auxiliary information, at a pre-defined set of spatial and temporal resolutions. Only cloud-free pixels are included in the averaging process. For further details on the Level 3 product please refer to the (A)ATSR LST L3P product user guide.\r\n\r\nThe Level 3 LST product has been produced from the Level 2 AATSR LST Product (UOL_LST_2P), which is included in the ESA (A)ATSR multimission dataset (3rd version only).\r\n\r\nThe data were produced by the University of Leicester under funding from the National Centre for Earth Observation (NCEO), and are now held by the NERC Earth Observation Data Centre (NEODC). The Level 2 LST product was produced under funding from ESA, with additional funding from the NCEO.\r\n\r\n", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 19913, "uuid": "9031056b1e6a42d5afd97ea084d29cfa", "title": "Level 2 reprocessed retrieved data", "abstract": "Level 2 reprocessed retrieved data.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 19915, "uuid": "bf8dd6f6a6c84d9fb00f780ae677d312", "title": "Level 1B reprocessed retrieved data", "abstract": "Level 1B reprocessed retrieved data", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 19917, "uuid": "8a33ec1c442f4a52a73b195f1deb7f14", "title": "Level 1B reprocessed radiance product, Version 3", "abstract": "Level 1B reprocessed retrieved data Version 3", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 19988, "uuid": "42283041b306455cb05955abb7d8b95f", "title": "MINERVA: North-West European shelf seas marine climate projection simulations", "abstract": "A Perturbed Physics Ensemble (PPE) of the Atmosphere-Ocean General Circulation Model (AO-GCM, or GCM) HadCM3 is downscaled by the shelf seas model POLCOMS. Each ensemble member is run as a transient experiment, from 1952-2098, under the SRES (Nakicenovic et al. 2000) business-as-usual, medium emission scenario A1B. This work extends that of Holt et al. (2010), released as UKCP09 (Lowe et al. 2009).\r\nHadCM3 (Gordon et al. 2000; Pope et al. 2000) is a CMIP3 model (third phase of the Coupled Model Intercomparison Project). 30 parameters within the HadCM3 atmosphere were perturbed within an expert-specified range to explore the uncertainty in Climate Sensitivity (Collins et al. 2011). 16 parameter-sets were selected that spanned the full range of Climate Sensitivity whilst still validating against present day. These, with the standard parameter set, formed a 17-member global PPE. \r\nThe atmosphere of each ensemble member was downscaled with the regional version of HadCM3, HadRM3 (Jones et al. 2004), with equivalent parameter perturbations. One parameter perturbation, common to 6 HadRM3 ensemble members, did not validate, and so was excluded from the rest of the work.\r\nThe atmospheric run-off fields from HadRM3 were used to drive the river routing model TRIP (Oki and Sud 1998; Oki et al. 1999) to provide river forcings.\r\nPOLCOMS (Proudman Oceanographic Laboratory Coastal Ocean Modelling System) (Holt and James 2001) downscaled each of the 11 member from the HadRM3 PPE. Atmospheric forcings were taken from HadRM3, lateral ocean forcings were taken from the HadCM3 ocean, and riverine forcings were taken from TRIP. The Baltic was treated as a climatological river, with a seasonal cycle of temperature, salinity and volume flux that did not change through time, or across the ensemble. This is a limitation of the study, and has implications downstream (in the Skagerrak, Kattegat and in the Norwegian Trench).", "keywords": "MINERVA, UKCP, Marine Climate, Climate Projection, Uncertainty, Climate Downscaling, Shelf Seas, Temperature, SST, Salinity, Stratification, Sea Surface Temperature", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 20043, "uuid": "32eff53af32442d1a347da2cc45bb9db", "title": "HadISD station data processing performed at the Met Office Hadley Centre", "abstract": "The HadISD station data were produced by the Met Office Hadley Centre. Individual station data within the ISD were selected selected on the basis of their length of record and reporting frequency. A merging algorithm using their location, elevation and station name identified candidates suitable to combine together. All stations were passed through a suite of automated quality control tests designed to remove bad data whilst keeping the extremes. None of the ISD flags were used in this process. The QC tests focussed on the temperature, dewpoint temperature and sea-level pressure variables, although some were applied to the wind speed and direction and cloud data. The data files also contain other variables which were pulled through from the raw ISD record, but have had no QC applied (e.g. cloud base and precipitation depth). \r\n\r\nNotes:\r\n1. These data have not yet been homogenised and so trend fitting should be undertaken with caution. The homogeneity has been assessed and results are available from the Met Office Hadley Centre HadISD website: http://www.metoffice.gov.uk/hadobs/hadisd/. \r\n2. A long-standing bug (affecting versions v2.0.2_2017p through to v3.3.0.2022f), was discovered in autumn 2023 whereby the neighbour checks (and associated [un]flagging for some other tests) were not being implemented. This was corrected for the later version v3.4.0.2023f to HadISD. For more details see the posts on the HadISD blog: https://hadisd.blogspot.com/2023/10/bug-in-buddy-checks.html & https://hadisd.blogspot.com/2024/01/hadisd-v3402023f-future-look.html(v2.0.2_2017p through to v3.3.0.2022f), and as noted this has been fixed for v3.4.02023f.\r\n\r\n\r\nFor further details see: \r\nDunn, R. J. H., et al., (2016), Expanding HadISD: quality-controlled, sub-daily station data from 1931, Geoscientific Instrumentation, Methods and Data Systems, and Dunn, R. J. H., et al. (2012), HadISD: A Quality Controlled global synoptic report database for selected variables at long-term stations\r\nfrom 1973-2011, Climate of the Past.\r\nDunn, R. J. H., et al. (2014), Pairwise Homogeneity Assessment of HadISD, Climate of the Past, 10, 1501-1522 (see Docs for links to publications).", "keywords": "HadISD", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 20129, "uuid": "9e32937868fd46c383080bacb11b261a", "title": "HadAM3 and HadCM3 deployed on University of Edinburgh computing cluster", "abstract": "deployed on University of Edinburgh computing cluster", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 20388, "uuid": "81842aa686174647ae132a4c841d73b6", "title": "UEA Climatic Research Unit (CRU) high resolution gridding software deployed on UEA CRU computer system for v4.00", "abstract": "This computation involved: UEA Climate Research Unit (CRU) High Resolution gridding software deployed on UEA Climate Research Unit (CRU) computer system. For details about the production of CRU TS and CRU CY datasets, please refer to Harris et al. (2020) - see Details/Docs tab, moderated by the Release Notes for v4.00 (which outline the new gridding process)", "keywords": "Climatic Research Unit, CRU, TS, CY", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 20401, "uuid": "7745f46d5d664d9da8d3d3c40925798c", "title": "Met Office Hadley Centre (MOHC) running: experiment historical using the HadGEM2-ES model.", "abstract": "Met Office Hadley Centre (MOHC) running the historical experiment using the HadGEM2-ES model. See linked documentation for available information for each component.\n\nPlease note the following are not recorded within the Earth System Documentation (ES-DOC) site : historical experiment details.", "keywords": "CMIP5, WCRP, climate change, MOHC, HadGEM2-ES, historical, aerosol, atmos, land, ocean, ocnBgchem, 3hr, mon, yr", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 20405, "uuid": "aa7c5f9f309b47089f6b6bfd7a47326d", "title": "Met Office Hadley Centre (MOHC) running: experiment piControl using the HadGEM2-ES model.", "abstract": "Met Office Hadley Centre (MOHC) running the Pre-Industrial Control (piControl) experiment using the HadGEM2-ES model. See linked documentation for available information for each component.", "keywords": "CMIP5, WCRP, climate change, MOHC, HadGEM2-ES, piControl, aerosol, atmos, ocean, ocnBgchem, day, mon, yr", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 20408, "uuid": "9fb3a00ea7b74c28b33e97720014a8f9", "title": "Met Office Hadley Centre (MOHC) running: experiment rcp45 using the HadGEM2-ES model.", "abstract": "Met Office Hadley Centre (MOHC) running the RCP4.5 (rcp45) experiment using the HadGEM2-ES model. See linked documentation for available information for each component.", "keywords": "CMIP5, WCRP, climate change, MOHC, HadGEM2-ES, rcp45, aerosol, ocean, ocnBgchem, mon, yr", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 20411, "uuid": "7a492dbe492446eb9c8781d5acaada05", "title": "Met Office Hadley Centre (MOHC) running: experiment rcp85 using the HadGEM2-ES model.", "abstract": "Met Office Hadley Centre (MOHC) running the RCP8.5 (rcp85) experiment using the HadGEM2-ES model. See linked documentation for available information for each component.", "keywords": "CMIP5, WCRP, climate change, MOHC, HadGEM2-ES, rcp85, aerosol, ocean, ocnBgchem, mon, yr", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 20414, "uuid": "d855051b10a549699400208ac4969dc4", "title": "Met Office Hadley Centre (MOHC) running: experiment rcp26 using the HadGEM2-ES model.", "abstract": "Met Office Hadley Centre (MOHC) running the RCP2.6 (rcp26) experiment using the HadGEM2-ES model. See linked documentation for available information for each component.", "keywords": "CMIP5, WCRP, climate change, MOHC, HadGEM2-ES, rcp26, aerosol, ocean, ocnBgchem, mon, yr", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 20417, "uuid": "a6fea96978e14730a9ddc5fd25c3ef72", "title": "Met Office Hadley Centre (MOHC) running: experiment rcp60 using the HadGEM2-ES model.", "abstract": "Met Office Hadley Centre (MOHC) running the RCP6 (rcp60) experiment using the HadGEM2-ES model. See linked documentation for available information for each component.", "keywords": "CMIP5, WCRP, climate change, MOHC, HadGEM2-ES, rcp60, aerosol, ocean, ocnBgchem, mon, yr", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 20420, "uuid": "cabb2bc25a6c418c819002df8d058ff3", "title": "Met Office Hadley Centre (MOHC) running: experiment esmFixClim1 using the HadGEM2-ES model.", "abstract": "Met Office Hadley Centre (MOHC) running the ESM fixed climate 1 (esmFixClim1) experiment using the HadGEM2-ES model. See linked documentation for available information for each component.", "keywords": "CMIP5, WCRP, climate change, MOHC, HadGEM2-ES, esmFixClim1, ocean, ocnBgchem, mon, yr", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 20423, "uuid": "d25f066d1360469797835d64b52873ae", "title": "Met Office Hadley Centre (MOHC) running: experiment 1pctCO2 using the HadGEM2-ES model.", "abstract": "Met Office Hadley Centre (MOHC) running the 1 percent per year CO2 (1pctCO2) experiment using the HadGEM2-ES model. See linked documentation for available information for each component.", "keywords": "CMIP5, WCRP, climate change, MOHC, HadGEM2-ES, 1pctCO2, ocean, ocnBgchem, mon, yr", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 20426, "uuid": "168fc7e611ef4a4c923d8cafaf34cde3", "title": "Met Office Hadley Centre (MOHC) running: experiment esmHistorical using the HadGEM2-ES model.", "abstract": "Met Office Hadley Centre (MOHC) running the ESM historical (esmHistorical) experiment using the HadGEM2-ES model. See linked documentation for available information for each component.", "keywords": "CMIP5, WCRP, climate change, MOHC, HadGEM2-ES, esmHistorical, ocean, ocnBgchem, seaIce, day, mon, yr", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 20429, "uuid": "3bd01ea64d5c4916941fcf6e25893a75", "title": "Met Office Hadley Centre (MOHC) running: experiment esmrcp85 using the HadGEM2-ES model.", "abstract": "Met Office Hadley Centre (MOHC) running the ESM RCP8.5 (esmrcp85) experiment using the HadGEM2-ES model. See linked documentation for available information for each component.", "keywords": "CMIP5, WCRP, climate change, MOHC, HadGEM2-ES, esmrcp85, ocean, ocnBgchem, mon, yr", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 20432, "uuid": "a6c1ac9cbb9c496982d5b8ed6e48cd6d", "title": "Met Office Hadley Centre (MOHC) running: experiment historicalGHG using the HadGEM2-ES model.", "abstract": "Met Office Hadley Centre (MOHC) running the GHG-only historical (historicalGHG) experiment using the HadGEM2-ES model. See linked documentation for available information for each component.", "keywords": "CMIP5, WCRP, climate change, MOHC, HadGEM2-ES, historicalGHG, ocean, ocnBgchem, mon, yr", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 20435, "uuid": "7d00aa09070743b29585749c00e5b291", "title": "Met Office Hadley Centre (MOHC) running: experiment esmFixClim2 using the HadGEM2-ES model.", "abstract": "Met Office Hadley Centre (MOHC) running the ESM fixed climate (esmFixClim2) experiment using the HadGEM2-ES model. See linked documentation for available information for each component.", "keywords": "CMIP5, WCRP, climate change, MOHC, HadGEM2-ES, esmFixClim2, ocean, ocnBgchem, mon, yr", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 20438, "uuid": "8bc78c8220f94ddd9db50f6b371c2f9c", "title": "Met Office Hadley Centre (MOHC) running: experiment abrupt4xCO2 using the HadGEM2-ES model.", "abstract": "Met Office Hadley Centre (MOHC) running the Abrupt 4XCO2 (abrupt4xCO2) experiment using the HadGEM2-ES model. See linked documentation for available information for each component.", "keywords": "CMIP5, WCRP, climate change, MOHC, HadGEM2-ES, abrupt4xCO2, ocean, ocnBgchem, mon, yr", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 20441, "uuid": "2d0a5a9d60ae458097d93303dc38218a", "title": "Met Office Hadley Centre (MOHC) running: experiment esmFdbk1 using the HadGEM2-ES model.", "abstract": "Met Office Hadley Centre (MOHC) running the ESM feedback 1 (esmFdbk1) experiment using the HadGEM2-ES model. See linked documentation for available information for each component.", "keywords": "CMIP5, WCRP, climate change, MOHC, HadGEM2-ES, esmFdbk1, ocean, ocnBgchem, mon, yr", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 20444, "uuid": "59040d5956cb494fa2898cd36ab1c3f0", "title": "Met Office Hadley Centre (MOHC) running: experiment esmFdbk2 using the HadGEM2-ES model.", "abstract": "Met Office Hadley Centre (MOHC) running the ESM feedback 2 (esmFdbk2) experiment using the HadGEM2-ES model. See linked documentation for available information for each component.", "keywords": "CMIP5, WCRP, climate change, MOHC, HadGEM2-ES, esmFdbk2, ocean, ocnBgchem, mon, yr", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 20447, "uuid": "20a1c68c66e94445ba7d1f7708362a52", "title": "Met Office Hadley Centre (MOHC) running: experiment historicalExt using the HadGEM2-ES model.", "abstract": "Met Office Hadley Centre (MOHC) running the Historical Extension (historicalExt) experiment using the HadGEM2-ES model. See linked documentation for available information for each component.", "keywords": "CMIP5, WCRP, climate change, MOHC, HadGEM2-ES, historicalExt, ocean, ocnBgchem, mon, yr", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 20450, "uuid": "9f8b61dc08d64ce7a070f1f98299d1e1", "title": "Met Office Hadley Centre (MOHC) running: experiment historicalNat using the HadGEM2-ES model.", "abstract": "Met Office Hadley Centre (MOHC) running the natural-only historical simulation (historicalNat) experiment using the HadGEM2-ES model. See linked documentation for available information for each component.", "keywords": "CMIP5, WCRP, climate change, MOHC, HadGEM2-ES, historicalNat, ocean, ocnBgchem, mon, yr", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 20453, "uuid": "e11e474b716e4440a2976d8051fa37a8", "title": "Met Office Hadley Centre (MOHC) running: experiment midHolocene using the HadGEM2-ES model.", "abstract": "Met Office Hadley Centre (MOHC) running the mid-Holocene (midHolocene) experiment using the HadGEM2-ES model. See linked documentation for available information for each component.", "keywords": "CMIP5, WCRP, climate change, MOHC, HadGEM2-ES, midHolocene, ocean, ocnBgchem, mon, yr", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 20456, "uuid": "40191ce995dc4cc8a7dd82a229b21b9b", "title": "Met Office Hadley Centre (MOHC) running: experiment esmControl using the HadGEM2-ES model.", "abstract": "Met Office Hadley Centre (MOHC) running the ESM pre-industrial control (esmControl) experiment using the HadGEM2-ES model. See linked documentation for available information for each component.", "keywords": "CMIP5, WCRP, climate change, MOHC, HadGEM2-ES, esmControl, ocean, ocnBgchem, seaIce, day, mon, yr", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 20459, "uuid": "ac1b1f901dc34a76b9bed4b526e2fc4f", "title": "Met Office Hadley Centre (MOHC) running: experiment amip using the HadGEM2-A model.", "abstract": "Met Office Hadley Centre (MOHC) running the AMIP (amip) experiment using the HadGEM2-A model. See linked documentation for available information for each component.", "keywords": "CMIP5, WCRP, climate change, MOHC, HadGEM2-A, amip, aerosol, mon", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 20463, "uuid": "3ddfa6c63427409d9aba4ba2a2797cc8", "title": "Met Office Hadley Centre (MOHC) running: experiment historical using the HadCM3 model.", "abstract": "Met Office Hadley Centre (MOHC) running the historical experiment using the HadCM3 model. See linked documentation for available information for each component.\n\nPlease note the following are not recorded within the Earth System Documentation (ES-DOC) site : historical experiment details.", "keywords": "CMIP5, WCRP, climate change, MOHC, HadCM3, historical, atmos, day", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 20467, "uuid": "fd3b028bb077488c9dd6b10c19043358", "title": "Met Office Hadley Centre (MOHC) running: experiment historical using the HadGEM2-CC model.", "abstract": "Met Office Hadley Centre (MOHC) running the historical experiment using the HadGEM2-CC model. See linked documentation for available information for each component.\n\nPlease note the following are not recorded within the Earth System Documentation (ES-DOC) site : historical experiment details.", "keywords": "CMIP5, WCRP, climate change, MOHC, HadGEM2-CC, historical, ocean, ocnBgchem, seaIce, day, mon, yr", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 20471, "uuid": "835a06fb93804d98b169fe7136359fb5", "title": "Met Office Hadley Centre (MOHC) running: experiment rcp85 using the HadGEM2-CC model.", "abstract": "Met Office Hadley Centre (MOHC) running the RCP8.5 (rcp85) experiment using the HadGEM2-CC model. See linked documentation for available information for each component.", "keywords": "CMIP5, WCRP, climate change, MOHC, HadGEM2-CC, rcp85, ocean, ocnBgchem, mon, yr", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 20474, "uuid": "091abc5253cc493fa15bee3240331248", "title": "Met Office Hadley Centre (MOHC) running: experiment rcp45 using the HadGEM2-CC model.", "abstract": "Met Office Hadley Centre (MOHC) running the RCP4.5 (rcp45) experiment using the HadGEM2-CC model. See linked documentation for available information for each component.", "keywords": "CMIP5, WCRP, climate change, MOHC, HadGEM2-CC, rcp45, ocean, ocnBgchem, mon, yr", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 20477, "uuid": "a6ba3ba3eff74492b75bc42cbb2f9124", "title": "Met Office Hadley Centre (MOHC) running: experiment piControl using the HadGEM2-CC model.", "abstract": "Met Office Hadley Centre (MOHC) running the Pre-Industrial Control (piControl) experiment using the HadGEM2-CC model. See linked documentation for available information for each component.", "keywords": "CMIP5, WCRP, climate change, MOHC, HadGEM2-CC, piControl, ocean, ocnBgchem, seaIce, day, mon, yr", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 20480, "uuid": "34803cb447ba45fe8ed9cf2bb75e896c", "title": "Met Office Hadley Centre (MOHC) running: experiment midHolocene using the HadGEM2-CC model.", "abstract": "Met Office Hadley Centre (MOHC) running the mid-Holocene (midHolocene) experiment using the HadGEM2-CC model. See linked documentation for available information for each component.", "keywords": "CMIP5, WCRP, climate change, MOHC, HadGEM2-CC, midHolocene, atmos, ocean, ocnBgchem, 6hr, mon, yr", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 20521, "uuid": "c2e76756a5fd4327b9388e6c7c8072dd", "title": "Met Office Hadley Centre (MOHC) running: experiment sstClimSulfate using the HadGEM2-A model.", "abstract": "Met Office Hadley Centre (MOHC) running the sulfate aerosol forcing (sstClimSulfate) experiment using the HadGEM2-A model. See linked documentation for available information for each component.", "keywords": "CMIP5, WCRP, climate change, MOHC, HadGEM2-A, sstClimSulfate, aerosol, atmos, land, landIce, day, fx, mon", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 20524, "uuid": "fdc1edc0a54f446db29f875978b1a5db", "title": "Met Office Hadley Centre (MOHC) running: experiment aqua4K using the HadGEM2-A model.", "abstract": "Met Office Hadley Centre (MOHC) running the aqua planet plus 4K anomaly (aqua4K) experiment using the HadGEM2-A model. See linked documentation for available information for each component.", "keywords": "CMIP5, WCRP, climate change, MOHC, HadGEM2-A, aqua4K, aerosol, atmos, day, fx, mon, subhr", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 20527, "uuid": "171c5ef1c56649e59697c61796f996c4", "title": "Met Office Hadley Centre (MOHC) running: experiment aquaControl using the HadGEM2-A model.", "abstract": "Met Office Hadley Centre (MOHC) running the aqua planet control (aquaControl) experiment using the HadGEM2-A model. See linked documentation for available information for each component.", "keywords": "CMIP5, WCRP, climate change, MOHC, HadGEM2-A, aquaControl, atmos, day, fx, mon, subhr", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 20530, "uuid": "6a796b07b22a4c4dbb13ab110186e305", "title": "Met Office Hadley Centre (MOHC) running: experiment amip4K using the HadGEM2-A model.", "abstract": "Met Office Hadley Centre (MOHC) running the amip4K experiment using the HadGEM2-A model. See linked documentation for available information for each component.\n\nPlease note the following are not recorded within the Earth System Documentation (ES-DOC) site : amip4K experiment details.", "keywords": "CMIP5, WCRP, climate change, MOHC, HadGEM2-A, amip4K, atmos, land, landIce, 3hr, day, fx, mon, subhr", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 20535, "uuid": "f11d4dcc94f74fbe815a0ac465894a96", "title": "Met Office Hadley Centre (MOHC) running: experiment sstClim using the HadGEM2-A model.", "abstract": "Met Office Hadley Centre (MOHC) running the Control SST Climatology (sstClim) experiment using the HadGEM2-A model. See linked documentation for available information for each component.", "keywords": "CMIP5, WCRP, climate change, MOHC, HadGEM2-A, sstClim, aerosol, atmos, land, landIce, day, fx, mon", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 20538, "uuid": "590922444582420a8ad23e2e4fa506ea", "title": "Met Office Hadley Centre (MOHC) running: experiment sstClim4xCO2 using the HadGEM2-A model.", "abstract": "Met Office Hadley Centre (MOHC) running the SST Climatology With 4XCO2 Forcing (sstClim4xCO2) experiment using the HadGEM2-A model. See linked documentation for available information for each component.", "keywords": "CMIP5, WCRP, climate change, MOHC, HadGEM2-A, sstClim4xCO2, aerosol, atmos, land, landIce, day, fx, mon", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 20541, "uuid": "2ae84579fa3f4479b27f0d2cb61eafa4", "title": "Met Office Hadley Centre (MOHC) running: experiment sstClimAerosol using the HadGEM2-A model.", "abstract": "Met Office Hadley Centre (MOHC) running the all aerosol forcing (sstClimAerosol) experiment using the HadGEM2-A model. See linked documentation for available information for each component.", "keywords": "CMIP5, WCRP, climate change, MOHC, HadGEM2-A, sstClimAerosol, aerosol, atmos, land, landIce, day, fx, mon", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 20544, "uuid": "2e73855bb9d2437da24d3597ec3c1285", "title": "Met Office Hadley Centre (MOHC) running: experiment amip4xCO2 using the HadGEM2-A model.", "abstract": "Met Office Hadley Centre (MOHC) running the amip4xCO2 experiment using the HadGEM2-A model. See linked documentation for available information for each component.", "keywords": "CMIP5, WCRP, climate change, MOHC, HadGEM2-A, amip4xCO2, atmos, land, landIce, 3hr, day, fx, mon, subhr", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 20547, "uuid": "798b8acd077c47358ed6da420c884923", "title": "Met Office Hadley Centre (MOHC) running: experiment amipFuture using the HadGEM2-A model.", "abstract": "Met Office Hadley Centre (MOHC) running the amipFuture experiment using the HadGEM2-A model. See linked documentation for available information for each component.\n\nPlease note the following are not recorded within the Earth System Documentation (ES-DOC) site : amipFuture experiment details.", "keywords": "CMIP5, WCRP, climate change, MOHC, HadGEM2-A, amipFuture, atmos, land, landIce, 3hr, day, fx, mon, subhr", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 20550, "uuid": "1fac5d80f2734dc995608379430fe301", "title": "Met Office Hadley Centre (MOHC) running: experiment aqua4xCO2 using the HadGEM2-A model.", "abstract": "Met Office Hadley Centre (MOHC) running the 4xCO2 aqua planet (aqua4xCO2) experiment using the HadGEM2-A model. See linked documentation for available information for each component.", "keywords": "CMIP5, WCRP, climate change, MOHC, HadGEM2-A, aqua4xCO2, atmos, day, fx, mon, subhr", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 20553, "uuid": "d30c6e839a034cc0ab538c8211a9e900", "title": "Met Office Hadley Centre (MOHC) running: experiment decadal2000 using the HadCM3 model.", "abstract": "Met Office Hadley Centre (MOHC) running the 10-year hindcast/prediction initialized in year 2000 (decadal2000) experiment using the HadCM3 model. See linked documentation for available information for each component.\n\nPlease note the following are not recorded within the Earth System Documentation (ES-DOC) site : simulation details.", "keywords": "CMIP5, WCRP, climate change, MOHC, HadCM3, decadal2000, aerosol, atmos, land, landIce, ocean, seaIce, day, mon", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 20556, "uuid": "53e881b28dc545fd830e5d2941e596ed", "title": "Met Office Hadley Centre (MOHC) running: experiment decadal1971 using the HadCM3 model.", "abstract": "Met Office Hadley Centre (MOHC) running the decadal1971 experiment using the HadCM3 model. See linked documentation for available information for each component.\n\nPlease note the following are not recorded within the Earth System Documentation (ES-DOC) site : decadal1971 experiment and simulation details.", "keywords": "CMIP5, WCRP, climate change, MOHC, HadCM3, decadal1971, aerosol, atmos, land, landIce, ocean, seaIce, day, mon", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 20559, "uuid": "58199d3fc07543e3a34dff3df2478deb", "title": "Met Office Hadley Centre (MOHC) running: experiment decadal1990 using the HadCM3 model.", "abstract": "Met Office Hadley Centre (MOHC) running the 10-year hindcast/prediction initialized in year 1990 (decadal1990) experiment using the HadCM3 model. See linked documentation for available information for each component.\n\nPlease note the following are not recorded within the Earth System Documentation (ES-DOC) site : simulation details.", "keywords": "CMIP5, WCRP, climate change, MOHC, HadCM3, decadal1990, aerosol, atmos, land, landIce, ocean, seaIce, day, mon", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 20562, "uuid": "bfc7e8ec4f884709905b84bd8512d71f", "title": "Met Office Hadley Centre (MOHC) running: experiment decadal1968 using the HadCM3 model.", "abstract": "Met Office Hadley Centre (MOHC) running the decadal1968 experiment using the HadCM3 model. See linked documentation for available information for each component.\n\nPlease note the following are not recorded within the Earth System Documentation (ES-DOC) site : decadal1968 experiment and simulation details.", "keywords": "CMIP5, WCRP, climate change, MOHC, HadCM3, decadal1968, aerosol, atmos, land, landIce, ocean, seaIce, day, mon", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 20565, "uuid": "c783c86259cd4c23a504e70f52556e07", "title": "Met Office Hadley Centre (MOHC) running: experiment decadal1961 using the HadCM3 model.", "abstract": "Met Office Hadley Centre (MOHC) running the decadal1961 experiment using the HadCM3 model. See linked documentation for available information for each component.\n\nPlease note the following are not recorded within the Earth System Documentation (ES-DOC) site : decadal1961 experiment and simulation details.", "keywords": "CMIP5, WCRP, climate change, MOHC, HadCM3, decadal1961, aerosol, atmos, land, landIce, ocean, seaIce, day, mon", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 20568, "uuid": "d269c5296905424c9ff2fcf2cc382ce8", "title": "Met Office Hadley Centre (MOHC) running: experiment decadal1962 using the HadCM3 model.", "abstract": "Met Office Hadley Centre (MOHC) running the decadal1962 experiment using the HadCM3 model. See linked documentation for available information for each component.\n\nPlease note the following are not recorded within the Earth System Documentation (ES-DOC) site : decadal1962 experiment and simulation details.", "keywords": "CMIP5, WCRP, climate change, MOHC, HadCM3, decadal1962, aerosol, atmos, land, landIce, ocean, seaIce, day, mon", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 20571, "uuid": "673de512afc944949b95fd05854da56a", "title": "Met Office Hadley Centre (MOHC) running: experiment decadal1963 using the HadCM3 model.", "abstract": "Met Office Hadley Centre (MOHC) running the decadal1963 experiment using the HadCM3 model. See linked documentation for available information for each component.\n\nPlease note the following are not recorded within the Earth System Documentation (ES-DOC) site : decadal1963 experiment and simulation details.", "keywords": "CMIP5, WCRP, climate change, MOHC, HadCM3, decadal1963, aerosol, atmos, land, landIce, ocean, seaIce, day, mon", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 20574, "uuid": "0c0f6759913b4adeac54e09d3d83c32f", "title": "Met Office Hadley Centre (MOHC) running: experiment decadal1964 using the HadCM3 model.", "abstract": "Met Office Hadley Centre (MOHC) running the decadal1964 experiment using the HadCM3 model. See linked documentation for available information for each component.\n\nPlease note the following are not recorded within the Earth System Documentation (ES-DOC) site : decadal1964 experiment and simulation details.", "keywords": "CMIP5, WCRP, climate change, MOHC, HadCM3, decadal1964, aerosol, atmos, land, landIce, ocean, seaIce, day, mon", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 20577, "uuid": "3afdca6b0f1847a7957c0b1ab678afe2", "title": "Met Office Hadley Centre (MOHC) running: experiment decadal2002 using the HadCM3 model.", "abstract": "Met Office Hadley Centre (MOHC) running the 10-year hindcast/prediction initialized in year 2002 (decadal2002) experiment using the HadCM3 model. See linked documentation for available information for each component.\n\nPlease note the following are not recorded within the Earth System Documentation (ES-DOC) site : simulation details.", "keywords": "CMIP5, WCRP, climate change, MOHC, HadCM3, decadal2002, aerosol, atmos, land, landIce, ocean, seaIce, day, mon", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] } ] }