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-cli...
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ftzenodo:oai:zenodo.org:6458352 2024-09-15T17:41:15+00:00 Monthly precipitation in mm at 1 km resolution (multisource average) based on SM2RAIN-ASCAT 2007-2021, CHELSA Climate and WorldClim Hengl, T. Parente, L. 2018-09-26 https://doi.org/10.5281/zenodo.6458352 eng eng Zenodo https://doi.org/10.5281/zenodo.2615278 https://zenodo.org/communities/eu https://doi.org/10.5281/zenodo.1435912 https://doi.org/10.5281/zenodo.6458352 oai:zenodo.org:6458352 info:eu-repo/semantics/openAccess Creative Commons Attribution Share Alike 4.0 International https://creativecommons.org/licenses/by-sa/4.0/legalcode precipitation global OpenLandMap info:eu-repo/semantics/other 2018 ftzenodo https://doi.org/10.5281/zenodo.645835210.5281/zenodo.261527810.5281/zenodo.1435912 2024-07-26T16:14:04Z 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. 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" creationoption 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 Other/Unknown Material Antarc* Antarctica Zenodo |
institution |
Open Polar |
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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. 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" creationoption 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 |
Other/Unknown Material |
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 |
publisher |
Zenodo |
publishDate |
2018 |
url |
https://doi.org/10.5281/zenodo.6458352 |
genre |
Antarc* Antarctica |
genre_facet |
Antarc* Antarctica |
op_relation |
https://doi.org/10.5281/zenodo.2615278 https://zenodo.org/communities/eu https://doi.org/10.5281/zenodo.1435912 https://doi.org/10.5281/zenodo.6458352 oai:zenodo.org:6458352 |
op_rights |
info:eu-repo/semantics/openAccess Creative Commons Attribution Share Alike 4.0 International https://creativecommons.org/licenses/by-sa/4.0/legalcode |
op_doi |
https://doi.org/10.5281/zenodo.645835210.5281/zenodo.261527810.5281/zenodo.1435912 |
_version_ |
1810487391334432768 |