Monthly precipitation in mm at 1 km resolution (multisource average) based on SM2RAIN-ASCAT 2007-2021, CHELSA Climate and WorldClim

Monthly precipitation in mm at 1 km resolution based on SM2RAIN-ASCAT 2007-2021 (https://doi.org/10.5281/zenodo.2615278). Downscaled to 1 km resolution using gdalwarp (cubic splines) and combined with WorldClim (https://worldclim.org/data/worldclim21.html) and CHELSA Climate (https://chelsa-climate....

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Main Authors: Hengl, T., Parente, L.
Format: Dataset
Language:English
Published: 2022
Subjects:
Online Access:https://zenodo.org/record/6458580
https://doi.org/10.5281/zenodo.6458580
id ftzenodo:oai:zenodo.org:6458580
record_format openpolar
spelling ftzenodo:oai:zenodo.org:6458580 2023-05-15T13:51:48+02:00 Monthly precipitation in mm at 1 km resolution (multisource average) based on SM2RAIN-ASCAT 2007-2021, CHELSA Climate and WorldClim Hengl, T. Parente, L. 2022-04-13 https://zenodo.org/record/6458580 https://doi.org/10.5281/zenodo.6458580 eng eng info:eu-repo/grantAgreement/EC/H2020/874850/ doi:10.5281/zenodo.2615278 doi:10.5281/zenodo.1420114 doi:10.5281/zenodo.1435912 https://zenodo.org/record/6458580 https://doi.org/10.5281/zenodo.6458580 oai:zenodo.org:6458580 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-sa/4.0/legalcode precipitation global OpenLandMap info:eu-repo/semantics/other dataset 2022 ftzenodo https://doi.org/10.5281/zenodo.645858010.5281/zenodo.261527810.5281/zenodo.142011410.5281/zenodo.1435912 2023-03-11T04:16:22Z Monthly precipitation in mm at 1 km resolution based on SM2RAIN-ASCAT 2007-2021 (https://doi.org/10.5281/zenodo.2615278). Downscaled to 1 km resolution using gdalwarp (cubic splines) and combined with WorldClim (https://worldclim.org/data/worldclim21.html) and CHELSA Climate (https://chelsa-climate.org/downloads/) monthly values. Final values are estimated as a simple average between the three precipitation data sources; a more objective approach would be to use training points e.g. meteo-station monthly values, then train an ensemble model using the 3 data sources as independent variables. Another global data source of precipitation images is the monthly IMERGE dataset, however this requires transformation and is available only for limited span of years. Processing steps are available here. Antarctica is not included. Standard deviation (sd) indicates a difference between the 3 data sources. To access and visualize maps use: https://openlandmap.org. If you discover a bug, artifact or inconsistency in the maps, or if you have a question please use some of the following channels: Technical issues and questions about the code: https://gitlab.com/openlandmap/global-layers/issues General questions and comments: https://disqus.com/home/forums/landgis/ All files internally compressed using "COMPRESS=DEFLATE" creation option in GDAL. File naming convention: clm = theme: climate, precipitation = variable: precipitation, wc.v2.1.chelsa.v2.1.sm2rain.oct = determination method: long-term average values for October, m = mean value, 1km = spatial resolution / block support: 1 km, s0.0cm = vertical reference: land surface, 1980.2020 = time reference: from 1980 to 2020, v0.3 = version number: 0.3 Dataset Antarc* Antarctica Zenodo
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language English
topic precipitation
global
OpenLandMap
spellingShingle precipitation
global
OpenLandMap
Hengl, T.
Parente, L.
Monthly precipitation in mm at 1 km resolution (multisource average) based on SM2RAIN-ASCAT 2007-2021, CHELSA Climate and WorldClim
topic_facet precipitation
global
OpenLandMap
description Monthly precipitation in mm at 1 km resolution based on SM2RAIN-ASCAT 2007-2021 (https://doi.org/10.5281/zenodo.2615278). Downscaled to 1 km resolution using gdalwarp (cubic splines) and combined with WorldClim (https://worldclim.org/data/worldclim21.html) and CHELSA Climate (https://chelsa-climate.org/downloads/) monthly values. Final values are estimated as a simple average between the three precipitation data sources; a more objective approach would be to use training points e.g. meteo-station monthly values, then train an ensemble model using the 3 data sources as independent variables. Another global data source of precipitation images is the monthly IMERGE dataset, however this requires transformation and is available only for limited span of years. Processing steps are available here. Antarctica is not included. Standard deviation (sd) indicates a difference between the 3 data sources. To access and visualize maps use: https://openlandmap.org. If you discover a bug, artifact or inconsistency in the maps, or if you have a question please use some of the following channels: Technical issues and questions about the code: https://gitlab.com/openlandmap/global-layers/issues General questions and comments: https://disqus.com/home/forums/landgis/ All files internally compressed using "COMPRESS=DEFLATE" creation option in GDAL. File naming convention: clm = theme: climate, precipitation = variable: precipitation, wc.v2.1.chelsa.v2.1.sm2rain.oct = determination method: long-term average values for October, m = mean value, 1km = spatial resolution / block support: 1 km, s0.0cm = vertical reference: land surface, 1980.2020 = time reference: from 1980 to 2020, v0.3 = version number: 0.3
format Dataset
author Hengl, T.
Parente, L.
author_facet Hengl, T.
Parente, L.
author_sort Hengl, T.
title Monthly precipitation in mm at 1 km resolution (multisource average) based on SM2RAIN-ASCAT 2007-2021, CHELSA Climate and WorldClim
title_short Monthly precipitation in mm at 1 km resolution (multisource average) based on SM2RAIN-ASCAT 2007-2021, CHELSA Climate and WorldClim
title_full Monthly precipitation in mm at 1 km resolution (multisource average) based on SM2RAIN-ASCAT 2007-2021, CHELSA Climate and WorldClim
title_fullStr Monthly precipitation in mm at 1 km resolution (multisource average) based on SM2RAIN-ASCAT 2007-2021, CHELSA Climate and WorldClim
title_full_unstemmed Monthly precipitation in mm at 1 km resolution (multisource average) based on SM2RAIN-ASCAT 2007-2021, CHELSA Climate and WorldClim
title_sort monthly precipitation in mm at 1 km resolution (multisource average) based on sm2rain-ascat 2007-2021, chelsa climate and worldclim
publishDate 2022
url https://zenodo.org/record/6458580
https://doi.org/10.5281/zenodo.6458580
genre Antarc*
Antarctica
genre_facet Antarc*
Antarctica
op_relation info:eu-repo/grantAgreement/EC/H2020/874850/
doi:10.5281/zenodo.2615278
doi:10.5281/zenodo.1420114
doi:10.5281/zenodo.1435912
https://zenodo.org/record/6458580
https://doi.org/10.5281/zenodo.6458580
oai:zenodo.org:6458580
op_rights info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-sa/4.0/legalcode
op_doi https://doi.org/10.5281/zenodo.645858010.5281/zenodo.261527810.5281/zenodo.142011410.5281/zenodo.1435912
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