Rainfall Estimates on a Gridded Network based on long-term 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 only the long-term precipitation stations (stations with at least 40 complete years of data). A second related...

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Other Authors: 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
Language:unknown
Published: ARC Centre of Excellence for Climate System Science
Subjects:
Online Access:https://researchdata.ands.org.au/rainfall-estimates-gridded-station-v10/1340690
https://doi.org/10.25914/5b9fa55a8298c
https://doi.org/10.5194/hess-2018-595
id ftands:oai:ands.org.au::1340690
record_format openpolar
spelling ftands:oai:ands.org.au::1340690 2023-05-15T13:47:42+02:00 Rainfall Estimates on a Gridded Network based on long-term 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-v10/1340690 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-v10/1340690 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 only the long-term precipitation stations (stations with at least 40 complete years of data). A second related dataset interpolates all stations available regardless of completeness of station timeseries. 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. This dataset uses ordinary block kriging to interpolate a long-term station subset of this high quality merged archive. The REGEN all station based dataset instead interpolates all stations in 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 long-term 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 only the long-term precipitation stations (stations with at least 40 complete years of data). A second related dataset interpolates all stations available regardless of completeness of station timeseries. 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. This dataset uses ordinary block kriging to interpolate a long-term station subset of this high quality merged archive. The REGEN all station based dataset instead interpolates all stations in 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 long-term station data v1.0
title_short Rainfall Estimates on a Gridded Network based on long-term station data v1.0
title_full Rainfall Estimates on a Gridded Network based on long-term station data v1.0
title_fullStr Rainfall Estimates on a Gridded Network based on long-term station data v1.0
title_full_unstemmed Rainfall Estimates on a Gridded Network based on long-term station data v1.0
title_sort rainfall estimates on a gridded network based on long-term station data v1.0
publisher ARC Centre of Excellence for Climate System Science
url https://researchdata.ands.org.au/rainfall-estimates-gridded-station-v10/1340690
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-v10/1340690
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
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