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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Main Authors: Hengl, T., Parente, L.
Format: Other/Unknown Material
Language:English
Published: Zenodo 2018
Subjects:
Online Access:https://doi.org/10.5281/zenodo.6458352
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spelling 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
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. 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
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