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Metadata

GPCC+ precipitation
References
official web page http://gpcc.dwd.de
Climate Explorer URLclimexp.knmi.nl/select.cgi?gpccall_10
Climate Explorer filenameGPCCData/gpcc_10_combined.nc
Variable
nameprecip
unitsmm/day
long_namegpcc full data monthly product version 2018, precipitation per grid
Netcdf global metadata
ConventionsCF-1.0
cdiClimate Data Interface version 1.9.8 (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 2018 covers the period from 1891 to 2016 this new extended product version using the new GPCC climatology as analysis background was generated in May 2018. The data coverage per month varies from less than 10,000 to more than 50,000 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_createdMi 30. Mai 07:01:41 UTC 2018
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_V2018_100
cdoClimate Data Operators version 1.9.8 (mpimet.mpg.de/cdo)
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 V2018 in the corresponding resolutions (DOIs: dx.doi.org/10.5676/DWD_GPCC/Clim_M_V2018_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_createdMi 4. Jul 10:26:00 UTC 2018
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_nconetCDF Operators version 4.8.1 (Homepage = nco.sf.net, Code = http://github.com/nco/nco)
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_createdDo 3. Sep 14:16:25 UTC 2020
aux_aux_time_coverage_start2020-08
aux_aux_time_coverage_end2020-08
aux_aux_historyWed Oct 07 10:07:58 2020: cdo -L -r -f nc4 -z zip selvar,p gpcc_10_mon_all.nc gpcc_10_mon.nc\
Wed Oct 7 10:07:58 2020: ncatted -a units,lat,m,c,degrees_north gpcc_10_mon_all.nc\
Wed Oct 07 10:06:38 2020: cdo -L -r -f nc4 -z zip copy monitoring_v6_10_1982_01.nc monitoring_v6_10_1982_02.nc monitoring_v6_10_1982_03.nc monitoring_v6_10_1982_04.nc monitoring_v6_10_1982_05.nc monitoring_v6_10_1982_06.nc monitoring_v6_10_1982_07.nc monitoring_v6_10_1982_08.nc monitoring_v6_10_1982_09.nc monitoring_v6_10_1982_10.nc monitoring_v6_10_1982_11.nc monitoring_v6_10_1982_12.nc monitoring_v6_10_1983_01.nc monitoring_v6_10_1983_02.nc monitoring_v6_10_1983_03.nc monitoring_v6_10_1983_04.nc monitoring_v6_10_1983_05.nc monitoring_v6_10_1983_06.nc monitoring_v6_10_1983_07.nc monitoring_v6_10_1983_08.nc monitoring_v6_10_1983_09.nc monitoring_v6_10_1983_10.nc monitoring_v6_10_1983_11.nc monitoring_v6_10_1983_12.nc monitoring_v6_10_1984_01.nc monitoring_v6_10_1984_02.nc monitoring_v6_10_1984_03.nc monitoring_v6_10_1984_04.nc monitoring_v6_10_1984_05.nc monitoring_v6_10_1984_06.nc monitoring_v6_10_1984_07.nc monitoring_v6_10_1984_08.nc monitoring_v6_10_1984_09.nc monitoring_v6_10_1984_10.nc monitoring_v6_10_1984_11.nc monitoring_v6_10_1984_12.nc monitoring_v6_10_1985_01.nc monitoring_v6_10_1985_02.nc monitoring_v6_10_1985_03.nc monitoring_v6_10_1985_04.nc monitoring_v6_10_1985_05.nc monitoring_v6_10_1985_06.nc monitoring_v6_10_1985_07.nc monitoring_v6_10_1985_08.nc monitoring_v6_10_1985_09.nc monitoring_v6_10_1985_10.nc monitoring_v6_10_1985_11.nc monitoring_v6_10_1985_12.nc monitoring_v6_10_1986_01.nc monitoring_v6_10_1986_02.nc monitoring_v6_10_1986_03.nc monitoring_v6_10_1986_04.nc monitoring_v6_10_1986_05.nc monitoring_v6_10_1986_06.nc monitoring_v6_10_1986_07.nc monitoring_v6_10_1986_08.nc monitoring_v6_10_1986_09.nc monitoring_v6_10_1986_10.nc monitoring_v6_10_1986_11.nc monitoring_v6_10_1986_12.nc monitoring_v6_10_1987_01.nc monitoring_v6_10_1987_02.nc monitoring_v6_10_1987_03.nc mo
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_end2020-12-15
aux_historyMon Sep 07 16:14:47 2020: cdo -L -r -f nc4 -z zip -selvar,precip -setmissval,3e33 full_data_monthly_v2018_10.nc gpcc_10.nc\
Wed Jul 04 09:27:53 2018: cdo -setgrid,full10desc.asc full_data_monthly_v2018_10.nc test.nc\
Wed May 30 07:08:10 2018: cdo -setgatts,gattfile_10 .//full_data_monthly_v2018_10.nc tmp10.nc\
Wed May 30 07:01:24 2018: cdo -merge .//full_p_v2018_10.nc .//full_s_v2018_10.nc .//full_si_v2018_10.nc .//full_e_v2018_10.nc .//full_ei_v2018_10.nc .//full_d_v2018_10.nc .//full_data_monthly_v2018_10.nc\
Tue May 29 08:03:04 2018: cdo cat tmp10.nc .//full_d_v2018_10.nc\
Tue May 29 08:03:03 2018: 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 6, 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 oldenbor 2020-10-07 10:08:47 patchfield gpcc_10.nc gpcc_10_mon_first.nc none gpcc_10_combined.nc\
Wed Oct 7 10:08:10 2020: ncrename -v p,precip gpcc_10_mon_first.nc\
user oldenbor 2020-10-07 10:08:02 patchfield gpcc_10_mon.nc gpcc_10_first.nc none gpcc_10_mon_first.nc\
Wed Oct 07 10:08:00 2020: cdo -L -r -f nc4 -z zip selvar,p gpcc_10_first_all.nc gpcc_10_first.nc\
Wed Oct 7 10:08:00 2020: ncatted -a units,lat,m,c,degrees_north gpcc_10_first_all.nc\
Wed Oct 07 10:08:00 2020: cdo -L -r -f nc4 -z zip copy first_guess_monthly_2020_08.nc first_guess_monthly_2020_09.nc gpcc_10_first_all.nc\
Mon Sep 07 16:04:11 2020: cdo -L -r -f nc4 -z zip setmissval,3e33 tmpfirst_guess_monthly_2020_08.nc first_guess_monthly_2020_08.nc\
Thu Sep 03 14:16:25 2020: cdo -setgatts,gattfile -setcalendar,standard gpcc10.nc first_guess_monthly_2020_08.nc\
Thu Sep 03 14:16:25 2020: cdo -merge first_guess_monthly_precip_2020_08.nc first_guess_monthly_numgauge_2020_08.nc gpcc10.nc\
Thu Sep 03 14:16:25 2020: cdo cat gpcc10.nc first_guess_monthly_numgauge_2020_08.nc\
Thu Sep 03 14:16:25 2020: cdo -b F32 -r -f nc -setgrid,firstguess10desc.asc -settunits,month -setmissval,-99999.99 -setname,s -setpartab,codetable.txt -setcode,21 -setdate,2020-08 -input,r360x180 gpcc10.nc
titleGPCC Full Data Monthly Product Version 2018, precipitation in mm/month, 1.0 degree extended with GPCC Monitoring Monthly Product version 6, 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_end2020-12-15
climexp_urlclimexp.knmi.nl/select.cgi?gpccall_10