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: Zenodo 2022
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.6458580
https://zenodo.org/record/6458580
id ftdatacite:10.5281/zenodo.6458580
record_format openpolar
spelling ftdatacite:10.5281/zenodo.6458580 2023-12-03T10:13:56+01:00 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 https://dx.doi.org/10.5281/zenodo.6458580 https://zenodo.org/record/6458580 en eng Zenodo https://dx.doi.org/10.5281/zenodo.2615278 https://dx.doi.org/10.5281/zenodo.1420114 https://dx.doi.org/10.5281/zenodo.1435912 Open Access Creative Commons Attribution Share Alike 4.0 International https://creativecommons.org/licenses/by-sa/4.0/legalcode cc-by-sa-4.0 info:eu-repo/semantics/openAccess precipitation global OpenLandMap dataset Dataset 2022 ftdatacite https://doi.org/10.5281/zenodo.645858010.5281/zenodo.261527810.5281/zenodo.142011410.5281/zenodo.1435912 2023-11-03T10:53:30Z 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 ... : {"references": ["Brocca, L., Filippucci, P., Hahn, S., Ciabatta, L., Massari, C., Camici, S., Sch\u00fcller, L., Bojkov, B., Wagner, W. (2019). SM2RAIN-ASCAT (2007-2018): global daily satellite rainfall from ASCAT soil moisture. submitted to Earth System Science Data.", "Karger, D. N., Conrad, O., B\u00f6hner, J., Kawohl, T., Kreft, H., Soria-Auza, R. W., ... & Kessler, M. (2017). Climatologies at high resolution for the earth's land surface areas. Scientific data, 4, 170122.", "Huffman, G. J., D. T. Bolvin, D. Braithwaite, K. Hsu, R. Joyce, and P. Xie, (2014). NASA Global Precipitation Measurement (GPM) Integrated Multi-satellitE Retrievals for GPM (IMERG), Algorithm Theoretical Basis Document (ATBD). https://storm- pps.gsfc.nasa.gov/storm/IMERG_ATBD_V4.pdf", "Fick, S. E., & Hijmans, R. J. (2017). WorldClim 2: new 1\u2010km spatial resolution climate surfaces for global land areas. International Journal of Climatology, 37(12), 4302-4315."]} ... Dataset Antarc* Antarctica DataCite Metadata Store (German National Library of Science and Technology) Huffman ENVELOPE(-72.259,-72.259,-75.313,-75.313)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
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 ... : {"references": ["Brocca, L., Filippucci, P., Hahn, S., Ciabatta, L., Massari, C., Camici, S., Sch\u00fcller, L., Bojkov, B., Wagner, W. (2019). SM2RAIN-ASCAT (2007-2018): global daily satellite rainfall from ASCAT soil moisture. submitted to Earth System Science Data.", "Karger, D. N., Conrad, O., B\u00f6hner, J., Kawohl, T., Kreft, H., Soria-Auza, R. W., ... & Kessler, M. (2017). Climatologies at high resolution for the earth's land surface areas. Scientific data, 4, 170122.", "Huffman, G. J., D. T. Bolvin, D. Braithwaite, K. Hsu, R. Joyce, and P. Xie, (2014). NASA Global Precipitation Measurement (GPM) Integrated Multi-satellitE Retrievals for GPM (IMERG), Algorithm Theoretical Basis Document (ATBD). https://storm- pps.gsfc.nasa.gov/storm/IMERG_ATBD_V4.pdf", "Fick, S. E., & Hijmans, R. J. (2017). WorldClim 2: new 1\u2010km spatial resolution climate surfaces for global land areas. International Journal of Climatology, 37(12), 4302-4315."]} ...
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 ...
publisher Zenodo
publishDate 2022
url https://dx.doi.org/10.5281/zenodo.6458580
https://zenodo.org/record/6458580
long_lat ENVELOPE(-72.259,-72.259,-75.313,-75.313)
geographic Huffman
geographic_facet Huffman
genre Antarc*
Antarctica
genre_facet Antarc*
Antarctica
op_relation https://dx.doi.org/10.5281/zenodo.2615278
https://dx.doi.org/10.5281/zenodo.1420114
https://dx.doi.org/10.5281/zenodo.1435912
op_rights Open Access
Creative Commons Attribution Share Alike 4.0 International
https://creativecommons.org/licenses/by-sa/4.0/legalcode
cc-by-sa-4.0
info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.5281/zenodo.645858010.5281/zenodo.261527810.5281/zenodo.142011410.5281/zenodo.1435912
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