Rainfall Estimates on a Gridded Network based on all station data v1.0
A global land-based gridded dataset of daily precipitation at 1 degree X 1 degree resolution from 1950 to 2013. 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...
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Online Access: | https://researchdata.ands.org.au/rainfall-estimates-gridded-station-v10/1340689 https://doi.org/10.25914/5b9fa55a8298c https://doi.org/10.5194/hess-2018-595 |
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ftands:oai:ands.org.au::1340689 2023-05-15T13:47:41+02:00 Rainfall Estimates on a Gridded Network based on all station data v1.0 Steefan Contractor (hasCollector) ARC Centre of Excellence for Climate System Science Data Manager (isManagedBy) ARC Centre of Excellence for Climate System Science (Owner of) Spatial: -179.5,-89.5 179.5 ,-89.5 179.5 , 89.5 -179.5, 89.5 -179.5,-89.5 Temporal: From 1950-01-01 to 2013-12-31 https://researchdata.ands.org.au/rainfall-estimates-gridded-station-v10/1340689 https://doi.org/10.25914/5b9fa55a8298c https://doi.org/10.5194/hess-2018-595 unknown ARC Centre of Excellence for Climate System Science https://researchdata.ands.org.au/rainfall-estimates-gridded-station-v10/1340689 doi:10.25914/5b9fa55a8298c doi:10.5194/hess-2018-595 https://researchdata.ands.org.au/registry//orca/register_my_data Climatology precipitation observations dataset ftands https://doi.org/10.25914/5b9fa55a8298c https://doi.org/10.5194/hess-2018-595 2020-01-05T22:02:50Z A global land-based gridded dataset of daily precipitation at 1 degree X 1 degree resolution from 1950 to 2013. 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 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 2013-12-31. 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. Dataset Antarc* Antarctica Research Data Australia (Australian National Data Service - ANDS) |
institution |
Open Polar |
collection |
Research Data Australia (Australian National Data Service - ANDS) |
op_collection_id |
ftands |
language |
unknown |
topic |
Climatology precipitation observations |
spellingShingle |
Climatology precipitation observations Rainfall Estimates on a Gridded Network based on all station data v1.0 |
topic_facet |
Climatology precipitation observations |
description |
A global land-based gridded dataset of daily precipitation at 1 degree X 1 degree resolution from 1950 to 2013. 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 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 2013-12-31. 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. |
author2 |
Steefan Contractor (hasCollector) ARC Centre of Excellence for Climate System Science Data Manager (isManagedBy) ARC Centre of Excellence for Climate System Science (Owner of) |
format |
Dataset |
title |
Rainfall Estimates on a Gridded Network based on all station data v1.0 |
title_short |
Rainfall Estimates on a Gridded Network based on all station data v1.0 |
title_full |
Rainfall Estimates on a Gridded Network based on all station data v1.0 |
title_fullStr |
Rainfall Estimates on a Gridded Network based on all station data v1.0 |
title_full_unstemmed |
Rainfall Estimates on a Gridded Network based on all station data v1.0 |
title_sort |
rainfall estimates on a gridded network based on all station data v1.0 |
publisher |
ARC Centre of Excellence for Climate System Science |
url |
https://researchdata.ands.org.au/rainfall-estimates-gridded-station-v10/1340689 https://doi.org/10.25914/5b9fa55a8298c https://doi.org/10.5194/hess-2018-595 |
op_coverage |
Spatial: -179.5,-89.5 179.5 ,-89.5 179.5 , 89.5 -179.5, 89.5 -179.5,-89.5 Temporal: From 1950-01-01 to 2013-12-31 |
genre |
Antarc* Antarctica |
genre_facet |
Antarc* Antarctica |
op_source |
https://researchdata.ands.org.au/registry//orca/register_my_data |
op_relation |
https://researchdata.ands.org.au/rainfall-estimates-gridded-station-v10/1340689 doi:10.25914/5b9fa55a8298c doi:10.5194/hess-2018-595 |
op_doi |
https://doi.org/10.25914/5b9fa55a8298c https://doi.org/10.5194/hess-2018-595 |
_version_ |
1766247704437981184 |