Input Output Description List
Get a list of InputOutputDescription objects.
GET /api/v3/iods/?format=api
{ "count": 27, "next": null, "previous": null, "results": [ { "ob_id": 1, "name": "Input AGB-MEX", "description": "ALOS PALSAR dual polarization (2007, 2008, 2009), MODIS VI (2008), SRTM (2000). Forest Probability layer was used to assign 0 value to nonforested areas (see publication) Land use and vegetation layer (INEGI) was used to assign NoData value to water bodies" }, { "ob_id": 2, "name": "AGB-MEX output", "description": "Aboveground woody biomass (AGB) as dry matter in t ha-1 Uncertainty as relative RMSE ±%. NoData value -9999" }, { "ob_id": 3, "name": "MIDAS land surface station data", "description": "" }, { "ob_id": 4, "name": "WCRP CMIP5: Met Office Hadley Centre (MOHC) HadGEM2-ES supplementary model output for the rcp26 expe", "description": "RCP26 and RCP 2.6 SCM model run output" }, { "ob_id": 6, "name": "ERA-Interim Reanalysis", "description": "Input data is from the ECMWF ERA-Interim reanalysis" }, { "ob_id": 7, "name": "Inputs used were sea-surface iodide observations and existing datasets of ancilliary chemical and ph", "description": "Inputs used were sea-surface iodide observations and existing datasets of ancilliary chemical and physical vairabales described. Iodide observations are described by Chance et al. (2019b) and made available by the British Oceanographic Data Centre 30 (BODC, Chance et al. (2019); DOI:10/czhx). Ancillary data extracted for Chance et al. (2019) observation locations and globally to predict spatial fields as available from sources stated in Table 1 in the accompanying paper (Sherwen et al 2019)." }, { "ob_id": 8, "name": "NetCDF of global sea-surface iodide predicted on a monthly basis.", "description": "NetCDF of global sea-surface iodide predicted on a monthly basis." }, { "ob_id": 9, "name": "High-frequency measurements of all major greenhouse gases in NetCDF", "description": "High-frequency measurements of all major greenhouse gases in NetCDF" }, { "ob_id": 10, "name": "FIDUCEO MW FCR V4.1", "description": "Total: 427969/f11: 2358/f12:12588/f14:28815/f15:15017/noaa15:63291/noaa16:68541/noaa17:54017/noaa18:62770/noaa19:41743/metopa:53440/metopb:25389" }, { "ob_id": 11, "name": "FIDUCEO MW FCR V4.1", "description": "L1B from NOAA CLASS+ auxiliary log-files produced with AAPP subroutine amsubcl/mhscl (log-files needed to perform moon-intrusion-check)" }, { "ob_id": 12, "name": "CV OA-ICOS", "description": "Hourly greenhouse gas measurements by OA-ICOS" }, { "ob_id": 13, "name": "Sentinel-1 (C-Band SAR) Ground Range Detected (GRD) Interferometric Wide swath (IW) VV/VH", "description": "Sentinel 1 data provided by European Space Agency (ESA)" }, { "ob_id": 14, "name": "Sentinel-1 GRD backscatter products", "description": "Analysis Ready Sentinel 1 data." }, { "ob_id": 15, "name": "Sentinel-2 Multispectral Instrument (MSI) Level 1C data", "description": "Sentinel 2 data provided by European Space Agency (ESA)" }, { "ob_id": 16, "name": "Sentinel-2 Surface Reflectance products", "description": "Analysis Ready Sentinel 2 data." }, { "ob_id": 17, "name": "Permafrost v2 input", "description": "MODIS Landsurface temperature is used as the main input for the L4 production for 2003-2018 data. Sensors of auxiliary data are listed in the meta data. Downscaled and bias corrected ERA reanalyses data based on statistics of the overlap period between ERA reanalysis and MODIS LST are used for data before 2003. Sensors of auxiliary data are listed in the meta data." }, { "ob_id": 18, "name": "IGP:MRR", "description": "NetCDF precipitation measurements from the Uni versity of Bergen Micro Rain Radar (MRR2) on board the NATO Research Vessel Alliance" }, { "ob_id": 19, "name": "Kruger DEM and Orthomosaics - Flight campaign using multispectral camera.", "description": "Digital Terrain Model, Digital Surface Model, Orthomosaic (Raster, 0.25 - 5 m pixel posting)" }, { "ob_id": 20, "name": "Kruder DEM and orthomosaics", "description": "Digital Terrain Model, Digital Surface Model, Orthomosaic (Raster, 0.25 - 5 m pixel posting)" }, { "ob_id": 21, "name": "Chemistry and Meteorological observations", "description": "" }, { "ob_id": 22, "name": "TRANSITION Clean Air Network VOCs and particluates", "description": "" }, { "ob_id": 23, "name": "Hegglin, et al., J. Geophys. Res. Atmos., doi:10.1029/2013JD019614, 2013", "description": "Hegglin, M. I., S. Tegtmeier, and the SPARC Data Initiative Team, SPARC Data Initiative: Comparison of water vapour climatologies from international limb satellite sounders, J. Geophys. Res. Atmos., doi:10.1029/2013JD019614, 2013." }, { "ob_id": 24, "name": "TCCON Caltech network: column-averaged abundances of atmospheric constituents.", "description": "column-averaged abundances of atmospheric constituents." }, { "ob_id": 25, "name": "LHOP Sonic Windmaster", "description": "Wind speed and direction data in NetCDF format" }, { "ob_id": 26, "name": "CODE FOR FIGURE (archived on Zenodo)", "description": "CODE FOR FIGURE (archived on Zenodo)" }, { "ob_id": 27, "name": "Snow_cci SCFG MODIS v4.0 input", "description": "•\tTerra MODIS Collection 6.1 MOD021KM (Level 1B Calibrated Radiances - 1km; DOI: 10.5067/MODIS/MOD021KM.061) and MOD03 (Geolocation - 1km; DOI: 10.5067/MODIS/MOD03.061) products •\tESA Land Cover CCI project team; Defourny, P. (2019): ESA Land Cover Climate Change Initiative (Land_Cover_cci): Global Land Cover Maps, Version 2.0.7. Centre for Environmental Data Analysis, 14.11.2025. https://catalogue.ceda.ac.uk/uuid/b382ebe6679d44b8b0e68ea4ef4b701c •\tHansen, M. C., P. V. Potapov, R. Moore, M. Hancher, S. A. Turubanova, A. Tyukavina, D. Thau, S. V. Stehman, S. J. Goetz, T. R. Loveland, A. Kommareddy, A. Egorov, L. Chini, C. O. Justice, and J. R. G. Townshend. 2013. “High-Resolution Global Maps of 21st-Century Forest Cover Change.” Science 342 (15 November): 850–53. Data available on-line from: http://earthenginepartners.appspot.com/science-2013-global-forest. •\tGlobal auxiliary layers prepared by ENVEO: o\tpermanent snow and ice area and water mask based on Land Cover map v2.0.7 from 2000 and salt lake mask man" }, { "ob_id": 28, "name": "Snow_cci SCFG MODIS v4.0 output", "description": "Daily global Snow Cover Fraction products including uncertainty estimation, sensor zenith angle and acquisition time per pixel" } ] }