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Home — Metadata: GPCC+ precipitation

Metadata

GPCC+ precipitation
References
official web page http://gpcc.dwd.de
Climate Explorer URLclimexp.knmi.nl/select.cgi?gpccall_10_n1
Climate Explorer filenameGPCCData/gpcc_10_n1_combined.nc
Variable
nameprecip
unitsmm/day
long_namegpcc full data monthly product version 2022, precipitation per grid
Netcdf global metadata
ConventionsCF-1.0
cdiClimate Data Interface version 2.0.3 (mpimet.mpg.de/cdi)
summaryThe Full Data Monthly Product is of much higher accuracy compared to the GPCC near real-time products mentioned above. Therefore, its application is recommended for hydrometeorological model verification and water cycle studies, e.g. in context of UNESCO, GEWEX, and GTN-H (Global Terrestrial Network for Hydrology). This analysis product is based on all stations, near real-time and non real-time, in the GPCC data base supplying data for the individual month. The GPCC Full Data Monthly Product Version 2022 covers the period from 1891 to 2020 ; this new extended product version using the new GPCC climatology as analysis background was generated in May 2022. The data coverage per month varies from less than 20,000 to more than 52,000 stations. The full data re-analyses will be updated at irregular time intervals subsequent to significant data base improvements.
keywordsprecipitation climatology,gpcc,global,gpcp,
idfull_data_precipitation_10
creator_urlgpcc.dwd.de
creator_nameGPCC/DWD
creator_emailgpcc@dwd.de
date_createdFr 27. Mai 09:22:25 UTC 2022
time_coverage_resolutionmonth
geospatial_lat_min-90.f
geospatial_lat_max90.f
geospatial_lon_min-180.f
geospatial_lon_max180.f
doi10.5676/DWD_GPCC/FD_M_V2022_100
cdoClimate Data Operators version 2.0.3 (mpimet.mpg.de/cdo)
aux_cdiClimate Data Interface version 2.3.0 (mpimet.mpg.de/cdi)
aux_conventionsCF-1.0
aux_summaryThis is the GPCC Monitoring Product of monthly global land-surface precipitation based on the station database (SYNOP, CLIMAT) available via the Global Telecommunication System (GTS) of the World Meteorological Organization (WMO) at the time of analysis (2 months after end of an analysis month). This product contains the monthly totals on a regular latitude/longitude grid with a spatial resolution of 1.0 x 1.0 . Interpolation is made on the anomalies from the GPCC Precipitation Climatology V2022 in the corresponding resolutions (DOIs: dx.doi.org/10.5676/DWD_GPCC/Clim_M_V2022_100). The temporal coverage of the dataset ranges from January 1982 until the month for which GTS data (SYNOP and CLIMAT) is available, i.e. 2 months after end of the analysis month due. The GPCC Monitoring Product is the in situ component to the satellite-gauge combined precipitation analyses of the Global Precipitation Climatology Product (GPCP) and the CPC Merged Analysis of Precipitation (CMAP). Moreover it supports
aux_regionalclimate monitoring and serves the land-surface complement to the Hamburg Ocean-Atmosphere Parameters and Fluxes from Satellite (HOAPS) data set.
aux_idmonitoring_data_precipitation_10
aux_date_createdDo 30. Jun 12:34:45 UTC 2022
aux_geospatial_lat_min -90.0
aux_geospatial_lat_max 90.0
aux_geospatial_lon_min -180.0
aux_geospatial_lon_max 180.0
aux_nco = netCDF Operators version 5.1.4 (Homepage = nco.sf.net, Codehttp://github.com/nco/nco)
aux_cdoClimate Data Operators version 2.3.0 (mpimet.mpg.de/cdo)
aux_aux_doi10.5676/DWD_GPCC/FG_M_100
aux_aux_summaryThis is the GPCC First Guess Product of monthly global land-surface precipitation based on the station database (SYNOP) available via the Global Telecommunication System (GTS) of the World Meteorological Organization (WMO) at the time of analysis (3 - 5 days after end of the analysis month). This product contains the monthly totals on a regular latitude/longitude grid with a spatial resolution of 1.0 x 1.0 latitude by longitude. Interpolation is made on the anomalies from the GPCC Climatology V2011 in the corresponding resolution (DOI: 10.5676/DWD_GPCC/Clim_M_V2011_100). The temporal coverage of the dataset ranges from January 2005 until the most recent month for which GTS based SYNOP data is available, i.e. the previous month, 3-5 days after its completion.
aux_aux_usageThis GPCC product is recommended to be used when the timeliness of the precipitation information is of highest importance, e.g. for drought monitoring or watch purposes.
aux_aux_keywordsprecipitation climatology,gpcc,global,gpcp,daily
aux_aux_idfirst_guess_monthly_precipitation_10
aux_aux_date_createdFr 3. Feb 11:07:24 UTC 2023
aux_aux_time_coverage_start2023-01
aux_aux_time_coverage_end2023-01
aux_aux_historySun Mar 10 10:20:22 2024: cdo -r -f nc4 -z zip selvar,p gpcc_10_mon_all.nc gpcc_10_mon.nc\
Sun Mar 10 10:20:22 2024: ncatted -a units,lat,m,c,degrees_north gpcc_10_mon_all.nc\
Sun Mar 10 10:20:07 2024: cdo -r -f nc4 -z zip copy monitoring_v2022_10_1982_01.nc monitoring_v2022_10_1982_02.nc monitoring_v2022_10_1982_03.nc monitoring_v2022_10_1982_04.nc monitoring_v2022_10_1982_05.nc monitoring_v2022_10_1982_06.nc monitoring_v2022_10_1982_07.nc monitoring_v2022_10_1982_08.nc monitoring_v2022_10_1982_09.nc monitoring_v2022_10_1982_10.nc monitoring_v2022_10_1982_11.nc monitoring_v2022_10_1982_12.nc monitoring_v2022_10_1983_01.nc monitoring_v2022_10_1983_02.nc monitoring_v2022_10_1983_03.nc monitoring_v2022_10_1983_04.nc monitoring_v2022_10_1983_05.nc monitoring_v2022_10_1983_06.nc monitoring_v2022_10_1983_07.nc monitoring_v2022_10_1983_08.nc monitoring_v2022_10_1983_09.nc monitoring_v2022_10_1983_10.nc monitoring_v2022_10_1983_11.nc monitoring_v2022_10_1983_12.nc monitoring_v2022_10_1984_01.nc monitoring_v2022_10_1984_02.nc monitoring_v2022_10_1984_03.nc monitoring_v2022_10_1984_04.nc monitoring_v2022_10_1984_05.nc monitoring_v2022_10_1984_06.nc monitoring_v2022_10_1984_07.nc monitoring_v2022_10_1984_08.nc monitoring_v2022_10_1984_09.nc monitoring_v2022_10_1984_10.nc monitoring_v2022_10_1984_11.nc monitoring_v2022_10_1984_12.nc monitoring_v2022_10_1985_01.nc monitoring_v2022_10_1985_02.nc monitoring_v2022_10_1985_03.nc monitoring_v2022_10_1985_04.nc monitoring_v2022_10_1985_05.nc monitoring_v2022_10_1985_06.nc monitoring_v2022_10_1985_07.nc monitoring_v2022_10_1985_08.nc monitoring_v2022_10_1985_09.nc monitoring_v2022_10_1985_10.nc monitoring_v2022_10_1985_11.nc monitoring_v2022_10_1985_12.nc monitoring_v2022_10_1986_01.nc monitoring_v2022_10_1986_02.nc monitoring_v2022_10_1986_03.nc monitoring_v2022_10_1986_04.nc monitoring_v2022_10_1986_05.nc monitoring_v2022_10_1986_06.nc monitoring_v2022_10_1986_07.nc monitoring_v2022_10_1986_08.nc monitoring_v2022_10_1986_09.nc monit
aux_aux_titleGPCC First Guess Product at 1.0 : Near Real-Time First Guess Monthly Land-Surface Precipitation from Rain-Gauges based on SYNOP Data
aux_institutionKNMI Climate Explorer and Deutscher Wetterdienst and KNMI (merging)
aux_geospatial_lat_resolution 1.0
aux_geospatial_lon_resolution 1.0
aux_geospatial_lon_unitsdegrees_east
aux_geospatial_lat_unitsdegrees_north
aux_time_coverage_start1982-01-15
aux_time_coverage_end2024-12-15
aux_climexp_urlclimexp.knmi.nl/select.cgi?gpcc_10_n1_mon_first
aux_historyWed Sep 14 10:57:43 2022: cdo -r -f nc4 -z zip ifthen ngpcc_10.nc gpcc_10.nc gpcc_10_n1.nc\
Wed Sep 14 10:57:26 2022: cdo -r -f nc4 -z zip -selvar,precip -setmissval,3e33 full_data_monthly_v2022_10.nc gpcc_10.nc\
Wed Sep 14 10:57:15 2022: cdo copy full_data_monthly_v2022_1891_1900_10.nc full_data_monthly_v2022_1901_1910_10.nc full_data_monthly_v2022_1911_1920_10.nc full_data_monthly_v2022_1921_1930_10.nc full_data_monthly_v2022_1931_1940_10.nc full_data_monthly_v2022_1941_1950_10.nc full_data_monthly_v2022_1951_1960_10.nc full_data_monthly_v2022_1961_1970_10.nc full_data_monthly_v2022_1971_1980_10.nc full_data_monthly_v2022_1981_1990_10.nc full_data_monthly_v2022_1991_2000_10.nc full_data_monthly_v2022_2001_2010_10.nc full_data_monthly_v2022_2011_2020_10.nc full_data_monthly_v2022_10.nc\
Fri May 27 09:22:58 2022: cdo -setgatts,gattfile_10 .//full_data_monthly_v2022_10.nc tmp10.nc\
Fri May 27 09:22:24 2022: cdo -merge .//full_p_v2022_10.nc .//full_s_v2022_10.nc .//full_si_v2022_10.nc .//full_e_v2022_10.nc .//full_ei_v2022_10.nc .//full_d_v2022_10.nc .//full_data_monthly_v2022_10.nc\
Fri May 27 07:26:50 2022: cdo cat tmp10.nc .//full_d_v2022_10.nc\
Fri May 27 07:26:50 2022: cdo -b F32 -r -f nc -setgrid,full10desc.asc -setmissval,-99999.99 -setname,diff_new_old_method -setpartab,codetable.txt -setcode,25 -setdate,1891-01-01 -input,r360x180 tmp10.nc
aux_titleGPCC Monitoring Monthly Product version 2022, precipitation in mm/month, 1.0 degree extended with GPCC First Guess Product at 1.0 : Near Real-Time First Guess Monthly Land-Surface Precipitation from Rain-Gauges based on SYNOP Data combined with the GPCC first guess product
historyuser sager 2024-03-10 10:20:49 /nobackup_1/users/sager/ClimateExplorer/climexp_numerical/LINUX/patchfield gpcc_10_n1.nc gpcc_10_n1_mon_first.nc none gpcc_10_n1_combined.nc\
Sun Mar 10 10:20:31 2024: cdo -r -f nc4 -z zip ifthen gpcc_10_n_mon_first.nc gpcc_10_mon_first.nc gpcc_10_n1_mon_first.nc\
Sun Mar 10 10:20:31 2024: ncrename -v p,precip gpcc_10_mon_first.nc\
user sager 2024-03-10 10:20:25 /nobackup_1/users/sager/ClimateExplorer/climexp_numerical/LINUX/patchfield gpcc_10_mon.nc gpcc_10_first.nc none gpcc_10_mon_first.nc\
Sun Mar 10 10:20:24 2024: cdo -r -f nc4 -z zip selvar,p gpcc_10_first_all.nc gpcc_10_first.nc\
Sun Mar 10 10:20:24 2024: ncatted -a units,lat,m,c,degrees_north gpcc_10_first_all.nc\
Sun Mar 10 10:20:24 2024: cdo -r -f nc4 -z zip copy first_guess_monthly_2023_01.nc first_guess_monthly_2023_02.nc first_guess_monthly_2023_03.nc first_guess_monthly_2023_04.nc first_guess_monthly_2023_05.nc first_guess_monthly_2023_06.nc first_guess_monthly_2023_07.nc first_guess_monthly_2023_08.nc first_guess_monthly_2023_09.nc first_guess_monthly_2023_10.nc first_guess_monthly_2023_11.nc first_guess_monthly_2023_12.nc first_guess_monthly_2024_01.nc first_guess_monthly_2024_02.nc gpcc_10_first_all.nc\
Fri Feb 10 23:05:02 2023: cdo -r -f nc4 -z zip setmissval,3e33 tmpfirst_guess_monthly_2023_01.nc first_guess_monthly_2023_01.nc\
Fri Feb 03 11:07:24 2023: cdo -setgatts,gattfile -setcalendar,standard gpcc10.nc first_guess_monthly_2023_01.nc\
Fri Feb 03 11:07:24 2023: cdo -merge first_guess_monthly_precip_2023_01.nc first_guess_monthly_numgauge_2023_01.nc gpcc10.nc\
Fri Feb 03 11:07:24 2023: cdo cat gpcc10.nc first_guess_monthly_numgauge_2023_01.nc\
Fri Feb 03 11:07:24 2023: cdo -b F32 -r -f nc -setgrid,firstguess10desc.asc -settunits,month -setmissval,-99999.99 -setname,s -setpartab,codetable.txt -setcode,21 -setdate,2023-01 -input,r360x180 gpcc10.nc
titleGPCC Full Data Monthly Product Version 2022, precipitation in mm/month, 1.0 degree extended with GPCC Monitoring Monthly Product version 2022, precipitation in mm/month, 1.0 degree extended with GPCC First Guess Product at 1.0 : Near Real-Time First Guess Monthly Land-Surface Precipitation from Rain-Gauges based on SYNOP Data combined with the GPCC first guess product combined with the GPCC monitoring and first guess product
institutionKNMI Climate Explorer and Deutscher Wetterdienst and KNMI (merging)
geospatial_lat_resolution1.f
geospatial_lon_resolution1.f
geospatial_lon_unitsdegrees_east
geospatial_lat_unitsdegrees_north
time_coverage_start1891-01-15
time_coverage_end2024-12-15
climexp_urlclimexp.knmi.nl/select.cgi?gpccall_10_n1
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