• 2021 해외 공개 English
  GPCC First Guess Product at 1.0°: Near Real-Time First Guess Monthly Land-Surface Precipitation from Rain-Gauges based on SYNOP Data
  • 데이터 제공처 국가연구데이터플랫폼
  • 데이터 리포지터리
  • 생성자 Schamm, Kirstin; Ziese, Markus; Becker, Andreas; Finger, Peter; Meyer-Christoffer, Anja; Rudolf, Bruno; Schneider, Udo;
  • 국가연구자번호
  • ntis과제번호
  • 과제명
  • 과제책임자
  • 과제수행기관
  • 부처
  • 라이센스유형 CC-BY;
  • 주제분류 지구과학(지구/대기/해양/천문);
  • 인용횟수 0
  • doi 10.22711/0101ND015239094311.0
  • 버전 1.0
  
  

  - DOI for Scientific and Technical Data10.5676/DWD_GPCC/FG_D_100 (for 1.0° resolution)- SubtitleGlobally Gridded Monthly Totals- CitationFor 1.0° grid resolution:Ziese, Markus; Becker, Andreas; Finger, Peter; Meyer-Christoffer, Anja; Rudolf, Bruno; Schneider, Udo (2011): GPCC First Guess Product at 1.0°: Near Real-Time First Guess monthly Land-Surface Precipitation from Rain-Gauges based on SYNOP Data. DOI: 10.5676/DWD_GPCC/FG_M_100- CreatorsZiese, Markus; Becker, Andreas; Finger, Peter; Meyer-Christoffer, Anja; Rudolf, Bruno; Schneider, Udo- PublisherGlobal Precipitation Climatology Centre (GPCC, http://gpcc.dwd.de/) at Deutscher Wetterdienst- Publication Year2011- 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 V2015 in the corresponding resolution (DOI: 10.5676/DWD_GPCC/Clim_M_V2015_100). The temporal coverage of the dataset ranges from August 2004 until the most recent month for which GTS based SYNOP data is available, i.e. the previous month, 3-5 days after its completion.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.- Temporal Coverage2004/08 - present expired month; updated monthly- Spatial CoverageLatitude: -90.0 to 90.0; Longitude: -180.0 to 180.0- Data Formatgzipped ASCII formatsince 2013 also gzip compressed NetCDF wikipedia.org- ToolsList of Software for Manipulating or Displaying NetCDF Data Panoply netCDF, HDF and GRIB Data ViewerClimate Data Operators CDO NOAA's Weather and Climate Toolkit - Metadata ISO 19115:2003/19139:2007- Datasize~ 70 KB (1.0 °) per gzip archive

• 2021 해외 공개 English
  GPCC First Guess Daily Product at 1.0°: Near Real-Time First Guess Daily Land-Surface Precipitation from Rain-Gauges based on SYNOP Data
  • 데이터 제공처 국가연구데이터플랫폼
  • 데이터 리포지터리
  • 생성자 Schamm, Kirstin; Ziese, Markus; Becker, Andreas; Finger, Peter; Meyer-Christoffer, Anja; Rudolf, Bruno; Schneider, Udo;
  • 국가연구자번호
  • ntis과제번호
  • 과제명
  • 과제책임자
  • 과제수행기관
  • 부처
  • 라이센스유형 CC-BY;
  • 주제분류 지구과학(지구/대기/해양/천문);
  • 인용횟수 0
  • doi 10.22711/0101ND016637275311.0
  • 버전 1.0
  
  

  - DOI for Scientific and Technical Data10.5676/DWD_GPCC/FG_D_100 (for 1.0° resolution)- SubtitleGlobally Gridded Daily Totals- CitationFor 1.0° grid resolution:Schamm, Kirstin; Ziese, Markus; Becker, Andreas; Finger, Peter; Meyer-Christoffer, Anja; Rudolf, Bruno; Schneider, Udo (2013): GPCC First Guess Daily Product at 1.0°: Near Real-Time First Guess daily Land-Surface Precipitation from Rain-Gauges based on SYNOP Data. DOI: 10.5676/DWD_GPCC/FG_D_100- CreatorsZiese, Markus; Becker, Andreas; Finger, Peter; Meyer-Christoffer, Anja; Rudolf, Bruno; Schneider, Udo- PublisherGlobal Precipitation Climatology Centre (GPCC, http://gpcc.dwd.de/) at Deutscher Wetterdienst- Publication Year2013- SummaryThis is the GPCC First Guess Daily Product of daily 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 daily totals for a month on a regular latitude/longitude grid with a spatial resolution of 1.0° x 1.0° latitude by longitude.Interpolation is made for the daily relative quota of the monthly total, i.e., the daily total divided by the monthly total, the latter has the DOI:10.5676/DWD_GPCC/FG_M_100. The temporal coverage of the dataset ranges from January 2009 to the most recent month for which GTS based SYNOP data is available, i.e. the previous month, 3-5 days after its completion.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 climate watch similar to the (monthly) GPCC First Guess Product. In addition the GPCC First Guess Daily product allows to globally study extreme events and ralated statistics at daily resolution.- Temporal Coverage2009/01 - present expired month; updated monthly- Spatial CoverageLatitude: -90.0 to 90.0; Longitude: -180.0 to 180.0- Data Formatgzip compressed NetCDF (classic)wikipedia.org(1 file, all days of month, 4 variables per gridcell: daily precipitation p in mm/day, standard deviation sd in mm/day, kriging error ek in %, number of stations per grid s)- ToolsList of Software for Manipulating or Displaying NetCDF Data Panoply netCDF, HDF and GRIB Data Viewer Climate Data Operators CDO NOAA's Weather and Climate Toolkit - Metadata ISO 19115:2003/19139:2007- Datasize~ 3 MByte (1.0 °) per gzip file

• 2021 해외 공개 English
  GPCC Full Data Daily Version 2020 at 1.0°: Daily Land-Surface Precipitation from Rain-Gauges built on GTS-based and Historic Data
  • 데이터 제공처 국가연구데이터플랫폼
  • 데이터 리포지터리
  • 생성자 Ziese, Markus; Rauthe-Schöch, Armin; Becker, Andreas; Finger, Peter; Rustemeier, Elke; Schneider, Udo;
  • 국가연구자번호
  • ntis과제번호
  • 과제명
  • 과제책임자
  • 과제수행기관
  • 부처
  • 라이센스유형 CC-BY;
  • 주제분류 지구과학(지구/대기/해양/천문);
  • 인용횟수 0
  • doi 10.22711/0101ND014070465511.0
  • 버전 1.0
  
  

  - DOI for Scientific and Technical Data10.5676/DWD_GPCC/FD_D_V2020_100 (for 1.0° resolution)- SubtitleGlobally Gridded Daily Totals- CitationZiese, Markus; Rauthe-Schöch, Armin; Becker, Andreas; Finger, Peter; Rustemeier, Elke; Schneider, Udo (2020): GPCC Full Data Daily Version 2020 at 1.0°: Daily Land-Surface Precipitation from Rain-Gauges built on GTS-based and Historic Data. DOI: 10.5676/DWD_GPCC/FD_D_V2020_100- CreatorsZiese, Markus; Rauthe-Schöch, Armin; Becker, Andreas; Finger, Peter; Rustemeier, Elke; Schneider, Udo- PublisherGlobal Precipitation Climatology Centre (GPCC, http://gpcc.dwd.de/) at Deutscher Wetterdienst- Publication Year2021- SummaryThis is the GPCC Full Data Daily Product Version 2020 of daily global land-surface precipitation totals based on precipitation data provided by national meteorological and hydrological services, regional and global data collections as well as WMO GTS-data. It is provided at a regular latitude/longitude grid with a spatial resolution of 1.0 x 1.0 degree and covers the time period from January 1982 to December 2019 (one year per file). Relative precipitation anomalies at the stations (daily totals divided by monthly total) are interpolated by means of a modified SPHEREMAP scheme (Becker et al., 2013 (10.5194/essd-5-71-2013); Schamm et al., 2014 (10.5194/essd-6-49-2014); Schneider et al., 2018) and then superimposed on the GPCC Full Data Monthly Version 2020 (DOI: 10.5676/DWD_GPCC/FD_M_V2020_100) monthly precipitation totals with climatological infilling .This GPCC product is recommended to be used when the daily precipitation information is of highest importance, e.g. for analyses of extreme events and related statistics at daily resolution.- Version2020- Temporal Coverage1982/01 - 2019/12- Spatial CoverageLatitude: -90.0 to 90.0; Longitude: -180.0 to 180.0- Data Formatgzip compressed NetCDF - ToolsList of Software for Manipulating or Displaying NetCDF Data Panoply netCDF, HDF and GRIB Data Viewer Climate Data Operators CDO - Datasizeapprox. 40 MB per gzip file

• 2021 해외 공개 English
  GPCC Interpolation Test Dataset at 1.0°
  • 데이터 제공처 국가연구데이터플랫폼
  • 데이터 리포지터리
  • 생성자 Finger, Peter; Ziese, Markus; Meyer-Christoffer, Anja; Schneider, Udo; Becker, Andreas;
  • 국가연구자번호
  • ntis과제번호
  • 과제명
  • 과제책임자
  • 과제수행기관
  • 부처
  • 라이센스유형 CC-BY;
  • 주제분류 지구과학(지구/대기/해양/천문);
  • 인용횟수 0
  • doi 10.22711/0101ND015242306511.0
  • 버전 1.0
  
  

  - DOI for Scientific and Technical Data10.5676/DWD_GPCC/ITD_M_V1_100- SubtitleGridded Monthly Precipitation Totals based on GHCN Monthly Totals interpolated by means of GPCC's modified SPHEREMAP- CitationFor 1.0° grid resolution:Finger, Peter; Ziese, Markus; Meyer-Christoffer, Anja; Schneider, Udo; Becker, Andreas (2015): GPCC Interpolation Test Dataset (ITD) at 1.0° DOI: 10.5676/DWD_GPCC/ITD_M_V1_100- CreatorsFinger, Peter; Ziese, Markus; Meyer-Christoffer, Anja; Schneider, Udo; Becker, Andreas- PublisherGlobal Precipitation Climatology Centre (GPCC, http://gpcc.dwd.de/) at Deutscher Wetterdienst (DWD)- Publication Year2015- SummaryThe GPCC Interpolation Test Dataset (ITD) was created to provide open precipitation data for users to compare their interpolation results with the GPCC interpolation procedure. Depart from the operational interpolation of anomalies, monthly precipitation totals were interpolated, because the necessary long term means to compute the anomalies could not be provided. As described in Becker et al. (2013), the interpolation was done at a finer subgrid and subsequent area and land portion weighting. Only (aggregated) monthly precipitation totals from the GHCN dataset (e.g., Menne et al., 2012) were used as input data. These data are additionally quality controlled by GPCC and can be different to the original GHCN data. Station coordinates were extracted from the GPCC data base and can therefore differ from the original GHCN coordinates. Within this dataset, gridded monthly precipitation totals for 1988, as NetCDF archive, and the underlying station data, as ASCII file with longitude, latitude and precipitation total, are provided. This dataset is applicable for the comparison of interpolation schemes, but not for hydrological or climatological analyses!For hydrological and climatological investigations, the user is refered to this GPCC products (if several resolutions are available, the DOI for 1.0° is provided): Climatology (DOI: 10.5676/DWD_GPCC/CLIM_M_V2015_100), Full Data Reanalysis (DOI: 10.5676/DWD_GPCC/FD_M_V7_100), Full Data Daily (DOI: 10.5676/DWD_GPCC/FD_D_V1_100 ), Monitoring Product (DOI: 10.5676/DWD_GPCC/MP_M_V5_100), First Guess (DOI: 10.5676/DWD_GPCC/FG_M_100), First Guess Daily (DOI: 10.5676/DWD_GPCC/FG_D_100), and GPCC Drought Index (DOI: 10.5676/DWD_GPCC/DI_M_100).References:Becker et al., 2013, A description of the global land-surface precipitation data products of the Global Precipitation Climatology Centre with sample applications including centennial (trend) analysis from 1901-present, Earth System Science Data, Vol. 5, p. 71-99, DOI:10.5194/essd-5-71-2013Menne et al., 2012, An overview of the Global Historical Climatology Network-Daily Database, Journal of Atmospheric and Oceanic Technology, Vol. 29, p. 897-910, DOI:10.1175/JTECH-D-11-00103.1- Temporal Coverage1988/01 - 1988/12- Spatial CoverageLatitude: -90.0 to 90.0; Longitude: -180.0 to 180.0- Data FormatGridded fields: gzip compressed NetCDF archive (classic) wikipedia.orgStation data: gzip compressed ASCII files with three columns (longitude, latitude, precipitation total)(1 NetCDF archive and 12 ASCII files)- ToolsList of Software for Manipulating or Displaying NetCDF Data show listPanoply netCDF, HDF and GRIB Data Viewer Panoply HomeClimate Data Operators CDO CDO HomeNOAA's Weather and Climate Toolkit WCT Home- Metadata ISO 19115:2003/19139:2007- Datasize~ 755 KB per gzip compressed NetCDF archive~ 165 KB per gzip compressed ASCII file

• 2021 해외 공개 English
  HOAPS/GPCC global daily precipitation data record with uncertainty estimates using satellite and gauge based observations (at 1.0° and 2.5°, at 0.5° only Europe)
  • 데이터 제공처 국가연구데이터플랫폼
  • 데이터 리포지터리
  • 생성자 Schröder, Marc; Becker, Andreas; Dietzsch, Felix; Fennig, Karsten; Graw, Kathrin; Gutenstein, Marloes; Hollmann, Rainer; Niedorf, Anja; Ziese, Markus;
  • 국가연구자번호
  • ntis과제번호
  • 과제명
  • 과제책임자
  • 과제수행기관
  • 부처
  • 라이센스유형 CC-BY;
  • 주제분류 지구과학(지구/대기/해양/천문);
  • 인용횟수 0
  • doi 10.22711/0101ND014122527911.0
  • 버전 1.0
  
  

  - DOI for scientific and technical data10.5676/DWD_CDC/HOGP_050/V002 (for 0.5° resolution)10.5676/DWD_CDC/HOGP_100/V002 (for 1.0° resolution)10.5676/DWD_CDC/HOGP_250/V002 (for 2.5° resolution)- SubtitleVersion 2- CitationFor 0.5° grid resolution:Schröder, Marc; Becker, Andreas; Dietzsch, Felix; Fennig, Karsten; Graw, Kathrin; Gutenstein, Marloes; Hollmann, Rainer; Niedorf, Anja; Ziese, Markus (2019): HOAPS/GPCC European daily precipitation data record with uncertainty estimates using satellite and gauge based observations at 0.5°For 1.0° grid resolution:Schröder, Marc; Becker, Andreas; Dietzsch, Felix; Fennig, Karsten; Graw, Kathrin; Gutenstein, Marloes; Hollmann, Rainer; Niedorf, Anja; Ziese, Markus (2019): HOAPS/GPCC global daily precipitation data record with uncertainty estimates using satellite and gauge based observations at 1.0°For 2.5° grid resolution:Schröder, Marc; Becker, Andreas; Dietzsch, Felix; Fennig, Karsten; Graw, Kathrin; Gutenstein, Marloes; Hollmann, Rainer; Niedorf, Anja; Ziese, Markus (2019): HOAPS/GPCC global daily precipitation data record with uncertainty estimates using satellite and gauge based observations at 2.5°- CreatorsSchröder, Marc; Becker, Andreas; Dietzsch, Felix; Fennig, Karsten; Graw, Kathrin; Gutenstein, Marloes; Hollmann, Rainer; Niedorf, Anja; Ziese, Markus- PublisherGlobal Precipitation Climatology Centre (GPCC, https://gpcc.dwd.de ) at Deutscher Wetterdienst (DWD)- Publication Year2019- SummaryThis dataset contains global precipitation observations combined from satellite and rain gauge data over ocean and over land, respectively. It spans the years 1988-2015 and has a spatial resolution of 2.5°×2.5°, 1.0°×1.0°, and 0.5°×0.5° (Europe). Satellite observations are based on SSM/I Level 2 and SSMIS data of the HOAPS 4.0 dataset of CM SAF (DOI: 10.5676/EUM_SAF_CM/HOAPS/V002 ). These data have been extended with observations from the AMSR-E and TMI microwave imager platform. The basic rain rate retrieval is based on a neuronal network approach. The retrieval excludes sea-ice covered regions. Uncertainty estimations are given as standard deviation of pixel values in one grid cell. Precipitation observations over land are included from the GPCC Full Data Daily Version 2018 product (DOI: 10.5676/DWD_GPCC/FD_D_V2018_100 ). Relative precipitation anomalies at the stations are interpolated by means of ordinary block kriging. For these data, uncertainty information is included as well. On coastal edges data gaps are interpolated. This dataset is recommended to be used for analyses of extreme events and related statistics at daily resolution as well as for verification and validation purposes of other precipitation products or climate models.This dataset is a successor of the HOAPS/GPCC global daily precipitation data record version 1 (10.5676/DWD_CDC/HOGP_050/V001, 10.5676/DWD_CDC/HOGP_100/V001, and 10.5676/DWD_CDC/HOGP_250/V001).This dataset has been created within the DAPAGLOCO project (Daily precipitation analysis for the validation of global medium-range climate predictions operationalized). The DAPAGLOCO project was part of the MiKlip project framework (Mittelfristige Klimaprognosen) and funded by the German Federal Ministry of Education and Research (Bundesministerium für Bildung und Forschung, BMBF).- Temporal coverage1988/01/01-2015/12/31- Spatial coverageglobal: Latitude: -90.0 to +90.0; Longitude: -180.0 to +180.0Europe: Latitude: +30.0 to +80.0; Longitude: -30.0 to +65.0- Data formatNetCDF 4- Data size0.6 GB to 2.6 GB

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