Dataset

Rainfall Estimates on a Gridded Network based on all station data v1-2019

Also known as: REGEN_AllStns_v1-2019
ARC Centre of Excellence for Climate System Science
ARC Centre of Excellence for Climate System Science Data Manager (Managed by) Steefan Contractor (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25914/5ca4c380b0d44&rft.title=Rainfall Estimates on a Gridded Network based on all station data v1-2019&rft.identifier=10.25914/5ca4c380b0d44&rft.publisher=ARC Centre of Excellence for Climate System Science&rft.description=A global land-based gridded dataset of daily precipitation at 1 degree X 1 degree resolution from 1950 to 2016. Two datasets are available under the REGEN moniker. This dataset interpolates all daily precipitation stations available regardless of completeness of station timeseries. A second related dataset available here (update link) interpolates only the long-term stations (stations with at least 40 complete years of data). Besides the grid cell average precipitation amount per day (mm/day), the Yamamoto standard deviation per grid cell (mm/day), the kriging error per grid cell (%) and number of stations per grid cell variables are also included.Currently, there are two major data archives of global in situ daily rainfall data: 1. The Global Historical Station Network (GHCN-Daily) hosted by National Oceanic and Atmospheric Administration (NOAA) and 2. The Deutscher Wetterdienst (DWD) Global Precipitation Climatology Centre (GPCC). These two data archives are combined along with additional station data acquired from other researchers. The merged archive is quality controlled and the flagged stations are removed to create a long term high quality archive of raw station data, which is then interpolated using ordinary block kriging by this dataset. The REGEN long-term dataset instead only interpolates a long-term station subset of this high quality merged archive.The output consists of a separate CF-compliant netcdf file for each year, each containing the four aforementioned variables. These values are available for global land areas with the exception of Antarctica. The time dimension of the netcdf ranges from 1950-01-01 to 2016-12-31. Each dataset (All station based and long-term station based) is in classic netcdf format and occupies around 350MB of disk space for each year with the combined total of all years being around 26GB. Besides these two netcdfs, two additional netcdfs containing a mask indicating the high data quality grid cells of each dataset (all station and long-term) are also available. These netcdf files have the same grid descriptions as the original data but contain only one timestep for the entire period. This is an updated version of REGEN V1.0 (Rainfall Estimates on a GriddEd Network). REGEN V1-2019 adds another 3 years of data, now spanning 1950 to 2016. This was done by utilising an updated gridded monthly product - GPCC Full Data Monthly Version 2018, for retrieving absolute daily precipitation values from interpolated anomaly fields. In contrast REGEN V1.0 used GPCC Full Data Monthly Version 7. REGEN V1.0 is identical to REGEN V1-2019 in every other aspect.&rft.creator=Steefan Contractor&rft.date=2019&rft.relation=10.5194/hess-2018-595&rft.coverage= -179.5,-89.5 179.5 ,-89.5 179.5 , 89.5 -179.5, 89.5 -179.5,-89.5&rft_rights=Access to this dataset is free, the users are free to download this dataset and share it with others and adapt it as long as they credit the dataset owners, provide a link to the license, and if changes were made, indicate it clearly and distribute their contributions under the same license as the original, commercial use is not permitted.&rft_rights=Creative Commons - Attribution - Non Commercial - Share Alike 4.0 International http://creativecommons.org/licenses/by-nc-sa/4.0/legalcode&rft_subject=Climatology&rft_subject=precipitation&rft_subject=observations&rft.type=dataset&rft.language=English Access the data

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CC-BY-NC-SA

Creative Commons - Attribution - Non Commercial - Share Alike 4.0 International
http://creativecommons.org/licenses/by-nc-sa/4.0/legalcode

Access to this dataset is free, the users are free to download this dataset and share it with others and adapt it as long as they credit the dataset owners, provide a link to the license, and if changes were made, indicate it clearly and distribute their contributions under the same license as the original, commercial use is not permitted.

Access:

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Dataset is available online

Full description

A global land-based gridded dataset of daily precipitation at 1 degree X 1 degree resolution from 1950 to 2016. Two datasets are available under the REGEN moniker. This dataset interpolates all daily precipitation stations available regardless of completeness of station timeseries. A second related dataset available here (update link) interpolates only the long-term stations (stations with at least 40 complete years of data). Besides the grid cell average precipitation amount per day (mm/day), the Yamamoto standard deviation per grid cell (mm/day), the kriging error per grid cell (%) and number of stations per grid cell variables are also included.

Currently, there are two major data archives of global in situ daily rainfall data: 1. The Global Historical Station Network (GHCN-Daily) hosted by National Oceanic and Atmospheric Administration (NOAA) and 2. The Deutscher Wetterdienst (DWD) Global Precipitation Climatology Centre (GPCC). These two data archives are combined along with additional station data acquired from other researchers. The merged archive is quality controlled and the flagged stations are removed to create a long term high quality archive of raw station data, which is then interpolated using ordinary block kriging by this dataset. The REGEN long-term dataset instead only interpolates a long-term station subset of this high quality merged archive.

The output consists of a separate CF-compliant netcdf file for each year, each containing the four aforementioned variables. These values are available for global land areas with the exception of Antarctica. The time dimension of the netcdf ranges from 1950-01-01 to 2016-12-31. Each dataset (All station based and long-term station based) is in classic netcdf format and occupies around 350MB of disk space for each year with the combined total of all years being around 26GB. Besides these two netcdfs, two additional netcdfs containing a mask indicating the high data quality grid cells of each dataset (all station and long-term) are also available. These netcdf files have the same grid descriptions as the original data but contain only one timestep for the entire period. 

This is an updated version of REGEN V1.0 (Rainfall Estimates on a GriddEd Network). REGEN V1-2019 adds another 3 years of data, now spanning 1950 to 2016. This was done by utilising an updated gridded monthly product - GPCC Full Data Monthly Version 2018, for retrieving absolute daily precipitation values from interpolated anomaly fields. In contrast REGEN V1.0 used GPCC Full Data Monthly Version 7. REGEN V1.0 is identical to REGEN V1-2019 in every other aspect.

Created: 03 2019

Data time period: 1950-01-01 to 31 12 2016

149.126746,-35.272583 149.110789,-35.272583 149.110789,-35.291126 149.126746,-35.291126 149.126746,-35.272583

149.1187675,-35.2818545

kmlPolyCoord: -179.5,-89.5 179.5 ,-89.5 179.5 , 89.5 -179.5, 89.5 -179.5,-89.5

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