References | |
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Climate Explorer URL | climexp.knmi.nl/getindices.cgi?WMO=GPCCData/telecon_nino34_gpcc&STATION=Nino34_prcp_land |
Climate Explorer filename | GPCCData/telecon_nino34_gpcc.dat |
Variable | |
name | nino34_prcp |
units | 1 |
long_name | Nino index from GPCC station-based land precipitation |
Ascii global metadata | |
description | Nino34 index based on GPCC station-based land precipitation projected on detrended ENSO teleconnections, using regression patterns, nino34 prcp [1] Nino index from GPCC station-based land precipitation, |
file | /nobackup_1/users/sager/ClimateExplorer/sandbox/GPCCData/gpcc_10_combined.nc |
title | GPCC 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 Gu... |
cdi | Climate Data Interface version 2.0.3 (mpimet.mpg.de/cdi) |
summary | The 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. |
keywords | precipitation climatology,gpcc,global,gpcp, |
id | full_data_precipitation_10 |
creator_url | gpcc.dwd.de |
creator_name | GPCC/DWD |
creator_email | gpcc@dwd.de |
date_created | Fr 27. Mai 09:22:25 UTC 2022 |
time_coverage_resolution | month |
geospatial_lat_min | -90.0 |
geospatial_lat_max | 90.0 |
geospatial_lon_min | -180.0 |
geospatial_lon_max | 180.0 |
doi | 10.5676/DWD_GPCC/FD_M_V2022_100 |
cdo | Climate Data Operators version 2.0.3 (mpimet.mpg.de/cdo) |
aux_conventions | CF-1.0 |
aux_cdi | Climate Data Interface version 2.3.0 (mpimet.mpg.de/cdi) |
aux_summary | This 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_regional | climate monitoring and serves the land-surface complement to the Hamburg Ocean-Atmosphere Parameters and Fluxes from Satellite (HOAPS) data set. |
aux_id | monitoring_data_precipitation_10 |
aux_date_created | Do 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, Code = http://github.com/nco/nco) |
aux_cdo | Climate Data Operators version 2.3.0 (mpimet.mpg.de/cdo) |
aux_aux_doi | 10.5676/DWD_GPCC/FG_M_100 |
aux_aux_summary | This 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_usage | This 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_keywords | precipitation climatology,gpcc,global,gpcp,daily |
aux_aux_id | first_guess_monthly_precipitation_10 |
aux_aux_date_created | Fr 3. Feb 11:07:24 UTC 2023 |
aux_aux_time_coverage_start | 2023-01 |
aux_aux_time_coverage_end | 2023-01 |
aux_aux_history | Sun 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_title | GPCC First Guess Product at 1.0 : Near Real-Time First Guess Monthly Land-Surface Precipitation from Rain-Gauges based on SYNOP Data |
aux_institution | KNMI Climate Explorer and Deutscher Wetterdienst and KNMI (merging) |
aux_geospatial_lat_resolution | 1.0 |
aux_geospatial_lon_resolution | 1.0 |
aux_geospatial_lon_units | degrees_east |
aux_geospatial_lat_units | degrees_north |
aux_time_coverage_start | 1982-01-15 |
aux_time_coverage_end | 2024-12-15 |
aux_climexp_url | climexp.knmi.nl/select.cgi?gpcc_10_mon_first |
aux_history | 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_title | 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 |
institution | KNMI Climate Explorer and Deutscher Wetterdienst and KNMI (merging) |
geospatial_lat_resolution | 1.0 |
geospatial_lon_resolution | 1.0 |
geospatial_lon_units | degrees_east |
geospatial_lat_units | degrees_north |
time_coverage_start | 1891-01-15 |
time_coverage_end | 2024-12-15 |
climexp_url | climexp.knmi.nl/select.cgi?gpccall_10 |
pattern_field_variable | precip |
pattern_series_description | iersst nino3+co2 monthly |
pattern_series_file | /Users/gj/NINO/climexp/data/dummy.12.dat |
pattern_series_mask | ersstv5_nino3.4_mask.nc |
pattern_series_institution | KNMI Climate Explorer |
pattern_series_climexp_url | climexp.knmi.nl/getindices.cgi?NCDCData/ersst_nino3.4a |
pattern_series_index_10_description | NINO3.4 |
pattern_series_index_10_file | ersstv5.nc |
pattern_series_index_10_mask | ersstv5_nino3.4_mask.nc |
pattern_series_index_10_institution | KNMI Climate Explorer |
pattern_series_index_10_climexp_url | climexp.knmi.nl/getindices.cgi?NCDCData/ersst_nino3.4a |
pattern_series_index_10_comment | |
pattern_series_index_10_conventions | CF-1.0 |
pattern_series_index_10_history | 2019-01-15 14:16:56 dat2nc ./data/iersst_nino3.4a.dat i NINO3.4 ./data/iersst_nino3.4a.nc user oldenbor 2019-01-14 13:07:39 get_index ersstv5.nc mask ersstv5_nino3.4_mask.nc |
pattern_series_index_11_file | co2_annual.dat |
pattern_series_index_11_olderfile | co2.dat |
pattern_series_index_11_title | co2_annual_12_combined.dat extended with maunaloa.dat |
pattern_series_index_11_oldertitle | co2.dat extended with co2_annual_12.dat |
pattern_series_index_11_main_aux_file | co2_annual.dat |
pattern_series_index_11_main_aux_institution | KNMI Climate Explorer and CSIRO Marine and Atmospheric Research via NCEI |
pattern_series_index_11_main_aux_authors | MacFarling Meure, C.; Etheridge, D.M.; Trudinger, C.; Steele, P.; Langenfelds, R.L.; van Ommen, T.D.; Smith, A.M.; Elkins, J. |
pattern_series_index_11_main_aux_contact | david.etheridge@csiro.au |
pattern_series_index_11_main_aux_references | Etheridge, D.M., L.P. Steele, R.L. Langenfelds, R.J. Francey, J.-M. Barnola, and V.I. Morgan. 1996. Natural and anthropogenic changes in atmospheric CO2 over the last 1000 years from air in Antarctic ice and firn. Journal of Geophysical Research, 101, 4115-4128. |
pattern_series_index_11_main_aux_source_url | www1.ncdc.noaa.gov/pub/data/paleo/icecore/antarctica/law/law2006.txt |
pattern_series_index_11_main_aux_source | www.ncdc.noaa.gov/paleo-search/study/9959 |
pattern_series_index_11_main_aux_description | Law Dome ice core (DSS, DE08 and DE08-2), firn air (DSSW20K), and Cape Grim instrumental (deseasonalised archive, insitu and flask) records of CO2 concentrations for the past 2000 years. |
pattern_series_index_11_main_aux_climexp_url | climexp.knmi.nl/getindices.cgi?CDIACData/co2_monthly |
pattern_series_index_11_main_aux_history | user oldenbor 2019-01-14 15:26:29 yearly2shorter co2_annual.dat 12 month 1 ave 12 retrieved from NCEI Thu Mar 15 17:59:48 MET 2018 |
pattern_series_index_11_institution | KNMI Climate Explorer |
pattern_series_index_11_bias_correction | 0.495 0.191 -0.217 -1.085 -1.617 -1.905 -1.916 -1.199 0.433 1.641 1.665 1.188 |
pattern_series_index_11_history | user oldenbor 2019-01-14 15:26:31 yearly2shorter co2_annual.dat 12 user oldenbor 2019-01-14 15:26:30 daily2longer co2_reallymonthly.dat 1 mean user oldenbor 2019-01-14 15:26:30 patchseries co2_annual_12_combined.dat maunaloa.dat bias user oldenbor 2019-01-14 15:26:29 patchseries co2.dat co2_annual_12.dat bias |
pattern_series_comment | |
pattern_series_conventions | CF-1.0 |
pattern_series_title | time series with regressions subtractief |
pattern_series_variable | Nino3.4 |
pattern_series_variable_long_name | ERSST v5 Nino3.4 index |
pattern_series_history | 2019-01-15 14:17:18 dat2nc ./data/iadded1.dat i iersst_nino3+co2_monthly ./data/iadded1.nc 2019-01-15 14:17:18 ./bin/addseries data/dummy.12.dat file ./data/iersst_nino3.4a.dat month 1:12 fix1 fitfunc linear file CDIACData/co2_monthly.dat bootstrap plot ./data/iersst_nino3.4a59021.cor dump ./data/iersst_nino3.4a59021.dump 2019-01-15 14:17:18 ./bin/addseries data/dummy.12.dat file ./data/iersst_nino3.4a.dat month 1:12 fix1 fitfunc linear file CDIACData/co2_monthly.dat bootstrap plot ./data/iersst_nino3.4a59021.cor dump ./data/iersst_nino3.4a59021.dump |
pattern_institution | KNMI Climate Explorer |
pattern_history | 2019-01-15 14:17:45 ./bin/correlatefield data/s57903.ctl data/iadded1.dat month 1:12 fix2 fitfunc linear standardunits data/g20190115_1417_59795.nc |
pattern_title | Linear correlations and regressions of GPCC Full Data Monthly Product Version 2018, precipitation in mm/month, 1.0 degree with the effect of co2_monthly.dat linearly subtracted and /Users/gj/NINO/climexp/data/iadded1.dat |
pattern_file | corr_prcp_nino34.nc |
history | user sager 2024-03-10 23:14:14 /nobackup_1/users/sager/ClimateExplorer/climexp_numerical/LINUX/patternfield /nobackup_1/users/sager/ClimateExplorer/sandbox/GPCCData/gpcc_10_combined.nc corr_prcp_nino34.nc regr 1 user sager 2024-03-10 10:20:38 /nobackup_1/users/sager/ClimateExplorer/climexp_numerical/LINUX/patchfield gpcc_10.nc gpcc_10_mon_first.nc none gpcc_10_combined.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 |