Monthly Precipitation In Mm At 1 Km Resolution Based On Imerge 2014-2018
Monthly precipitation in mm based on IMERGE 2014-2018 monthly product (ftp://jsimpson.pps.eosdis.nasa.gov/NRTPUB/imerg/gis/ see files e.g. "3B-MO-L.GIS.IMERG.20180601.V05B.tif"). Downscaled to 1 km resolution using an average between IMERGE, WorldClim (http://biogeo.ucdavis.edu/data/worldc...
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Online Access: | https://dx.doi.org/10.5281/zenodo.1435913 https://zenodo.org/record/1435913 |
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ftdatacite:10.5281/zenodo.1435913 2023-05-15T14:15:42+02:00 Monthly Precipitation In Mm At 1 Km Resolution Based On Imerge 2014-2018 Hengl, Tomislav 2018 https://dx.doi.org/10.5281/zenodo.1435913 https://zenodo.org/record/1435913 en eng Zenodo https://dx.doi.org/10.5281/zenodo.1435912 Open Access Creative Commons Attribution Share-Alike 4.0 https://creativecommons.org/licenses/by-sa/4.0 info:eu-repo/semantics/openAccess CC-BY-SA precipitation global LandGIS dataset Dataset 2018 ftdatacite https://doi.org/10.5281/zenodo.1435913 https://doi.org/10.5281/zenodo.1435912 2021-11-05T12:55:41Z Monthly precipitation in mm based on IMERGE 2014-2018 monthly product (ftp://jsimpson.pps.eosdis.nasa.gov/NRTPUB/imerg/gis/ see files e.g. "3B-MO-L.GIS.IMERG.20180601.V05B.tif"). Downscaled to 1 km resolution using an average between IMERGE, WorldClim (http://biogeo.ucdavis.edu/data/worldclim/v2.0/) and CHELSA Climate (https://www.wsl.ch/lud/chelsa/data/climatologies/prec/). Antartica is not included. All files internally compressed using "COMPRESS=DEFLATE" creation option in GDAL. File naming convention: clm = theme: climate, precipitation = variable: precipitation, imerge.oct = determination method: IMERGE long-term average values for October, m = mean value, 1km = spatial resolution / block support: 1 km, s0..0cm = vertical reference: land surface, 2014..2018 = time reference: from 2014 to 2018, v0.1 = version number: 0.1, : Processing steps are explained in detail at: https://github.com/Envirometrix/LandGISmaps/tree/master/input_layers/clim1km : {"references": ["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 antartic* 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 LandGIS |
spellingShingle |
precipitation global LandGIS Hengl, Tomislav Monthly Precipitation In Mm At 1 Km Resolution Based On Imerge 2014-2018 |
topic_facet |
precipitation global LandGIS |
description |
Monthly precipitation in mm based on IMERGE 2014-2018 monthly product (ftp://jsimpson.pps.eosdis.nasa.gov/NRTPUB/imerg/gis/ see files e.g. "3B-MO-L.GIS.IMERG.20180601.V05B.tif"). Downscaled to 1 km resolution using an average between IMERGE, WorldClim (http://biogeo.ucdavis.edu/data/worldclim/v2.0/) and CHELSA Climate (https://www.wsl.ch/lud/chelsa/data/climatologies/prec/). Antartica is not included. All files internally compressed using "COMPRESS=DEFLATE" creation option in GDAL. File naming convention: clm = theme: climate, precipitation = variable: precipitation, imerge.oct = determination method: IMERGE long-term average values for October, m = mean value, 1km = spatial resolution / block support: 1 km, s0..0cm = vertical reference: land surface, 2014..2018 = time reference: from 2014 to 2018, v0.1 = version number: 0.1, : Processing steps are explained in detail at: https://github.com/Envirometrix/LandGISmaps/tree/master/input_layers/clim1km : {"references": ["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, Tomislav |
author_facet |
Hengl, Tomislav |
author_sort |
Hengl, Tomislav |
title |
Monthly Precipitation In Mm At 1 Km Resolution Based On Imerge 2014-2018 |
title_short |
Monthly Precipitation In Mm At 1 Km Resolution Based On Imerge 2014-2018 |
title_full |
Monthly Precipitation In Mm At 1 Km Resolution Based On Imerge 2014-2018 |
title_fullStr |
Monthly Precipitation In Mm At 1 Km Resolution Based On Imerge 2014-2018 |
title_full_unstemmed |
Monthly Precipitation In Mm At 1 Km Resolution Based On Imerge 2014-2018 |
title_sort |
monthly precipitation in mm at 1 km resolution based on imerge 2014-2018 |
publisher |
Zenodo |
publishDate |
2018 |
url |
https://dx.doi.org/10.5281/zenodo.1435913 https://zenodo.org/record/1435913 |
long_lat |
ENVELOPE(-72.259,-72.259,-75.313,-75.313) |
geographic |
Huffman |
geographic_facet |
Huffman |
genre |
antartic* |
genre_facet |
antartic* |
op_relation |
https://dx.doi.org/10.5281/zenodo.1435912 |
op_rights |
Open Access Creative Commons Attribution Share-Alike 4.0 https://creativecommons.org/licenses/by-sa/4.0 info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY-SA |
op_doi |
https://doi.org/10.5281/zenodo.1435913 https://doi.org/10.5281/zenodo.1435912 |
_version_ |
1766288006343294976 |