netcdf FROGs/TAPEER_v1.5/TAPEER-BRAIN-1-5.1DD.2018.nc { dimensions: time = UNLIMITED; // (365 currently) lon = 360; lat = 180; variables: double time(time=365); :standard_name = "time"; :long_name = "time"; :axis = "T"; :comment = "The time values of the grid, following the standard CF calendar, in days, centred, since 1970-01-01 00:00:00"; :units = "days since 1970-01-01"; :calendar = "standard"; :_ChunkSizes = 512U; // uint float lon(lon=360); :standard_name = "longitude"; :long_name = "longitude"; :units = "degrees_east"; :axis = "X"; :comment = "The longitude values of the grid, in degrees, ranging between [-179.5; 179.5]. The grid is centred, i.e., a value of +0.5 corresponds to the degree [0W, 1W]"; float lat(lat=180); :standard_name = "latitude"; :long_name = "latitude"; :units = "degrees_north"; :axis = "Y"; :comment = "The latitude values of the grid, in degrees, ranging between [-89.5; 89.5]. The grid is centred, i.e., a value of +0.5 corresponds to the degree [0N, 1N]"; float rain(time=365, lat=180, lon=360); :_FillValue = NaNf; // float :standard_name = "lwe_precipitation_rate"; :long_name = "TAPEER-BRAIN v1.5 Daily Accumulated Surface Rainfall from 0h to 0h"; :units = "mm/day"; :comment = "This daily precipitation is extracted from the daily source TAPEER-BRAIN v1.5 products"; :missing_value = NaNf; // float :_ChunkSizes = 1U, 180U, 360U; // uint float uncertainty(time=365, lat=180, lon=360); :missing_value = NaNf; // float :_FillValue = NaNf; // float :standard_name = "lwe_precipitation_rate standard_error"; :long_name = "Uncertainty on TAPEER-BRAIN v1.5 Daily Accumulated Surface Rainfall from 0h to 0h"; :units = "mm/day"; :comment = "None"; :_ChunkSizes = 1U, 180U, 360U; // uint // global attributes: :Conventions = "ACDD-1.3, CF-1.8"; :title = "Frogs daily 1 degree x 1 degree gridded precipitation for Tropical Amount of Precipitation with an Estimate of ERrors (TAPEER) using Bayesian Rain retrieval Algorithm Including Neural network (BRAIN) Version 1.5 products"; :summary = "The Frequent Rainfall Observations on GridS (FROGS) database (Roca et al., 2019) is composed of gridded daily-precipitation products on a common 1 degree x 1 degree grid to ease intercomparison and assessment exercises. The database includes satellite, ground-based and reanalysis products. As most of the satellite products rely on rain gauges for calibration, unadjusted versions of satellite products are also provided where available. FROGS website homepage: http://frogs.ipsl.fr/"; :references = "See https://www.earth-syst-sci-data.net/11/1017/2019. The reference paper for the FROGS database is the following:Roca, R., Alexander, L. V., Potter, G., Bador, M., Juca, R., Contractor, S., Bosilovich, M. G., and Cloche, S.: FROGS: a daily 1 degree x 1 degree gridded precipitation database of rain gauge, satellite and reanalysis products, Earth Syst. Sci. Data, 11, 1017-1035, https://doi.org/10.5194/essd-11-1017-2019."; :source = "Gridded Daily Accumulated Surface Rainfall derived from Megha-Tropiques TAPEER-BRAIN Version 1.5 products. Roca et al., 2018. 1-degree daily accumulated surface rainfall estimated from geostationnary IR data and MW data by using the TAPEER algorithm with double constellation. Geo_Sensors = GOESNG-1370/GOES17; HIMAWARI+1407/HIMA08; GOESNG-0750/GOES16; MSG+0000/MSG4; MSG+0415/MSG1. LEO_Sensors_1 = F15/SSMI,F16/SSMIS,F17/SSMIS,F18/SSMIS,GCOM-W1/AMSR2,MT1/SAPHIR-S ; LEO_Sensors_2 = F15/SSMI,F16/SSMIS,F17/SSMIS,F18/SSMIS,GCOM-W1/AMSR2. "; :institution = "AERIS/LEGOS/IPSL"; :comment = "This data set is an update of the FROGS v0 data set. Main differences are: - temporal extension from 2017 up to most recent data available if data available after 2017, - addition of two new data sets in the database : GPCC Full Data Daily version 2020 and PERSIANN-CCS-CDR, - metadata update."; :creator_name = "AERIS/ICARE"; :creator_email = "contact@icare.univ-lille1.fr"; :creator_url = "https://en.aeris-data.fr/project/95f057f5-056e-358a-a9c7-24ea8e894b80/"; :creator_type = "institution"; :creator_institution = "AERIS / ICARE Data and Services Center"; :contributor_name = "Remy Roca"; :contributor_role = "data formatting in netCDF"; :contributor_email = "remy.roca@legos.obs-mip.fr"; :contributor_type = "person"; :contributor_institution = "LEGOS"; :metadata_link = "https://data.ipsl.fr/catalog/srv/eng/catalog.search#/metadata/20d37727-81b2-4821-9f51-6baa2b9cc06d"; :id = "https://doi.org/10.14768/06337394-73A9-407C-9997-0E380DAC5598"; :publisher_name = "ESPRI"; :publisher_email = "none"; :publisher_type = "institution"; :publisher_url = "https://www.ipsl.fr/"; :publisher_institution = "IPSL"; :product_version = "1"; :time_coverage_start = "2018-01-01T12:00:00"; :time_coverage_end = "2018-12-31T12:00:00"; :time_coverage_resolution = "day"; :geospatial_lat_min = -89.5; // double :geospatial_lat_max = 89.5; // double :geospatial_lon_min = -179.5; // double :geospatial_lon_max = 179.5; // double :geospatial_lat_resolution = 1.0; // double :geospatial_lon_resolution = 1.0; // double :geospatial_lat_units = "degrees_north"; :geospatial_lon_units = "degrees_east"; :cdm_data_type = "grid"; :keywords = "GCMD:EARTH SCIENCE,GCMD:ATMOSPHERE,GCMD:PRECIPITATION"; :platform = "GCMD:Earth Observation Satellites"; :instruments = "GCMD:Earth Remote Sensing Instruments,GCMD:Passive Remote Sensing"; :instrument_vocabulary = "GCMD:GCMD Keywords"; :platform_vocabulary = "GCMD:GCMD Keywords"; :keywords_vocabulary = "GCMD:GCMD Keywords, CF:NetCDF COARDS Climate and Forecast Standard Names"; :standard_name_vocabulary = "CF Standard Name Table v77"; }