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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Main Author: Hengl, Tomislav
Format: Dataset
Language:English
Published: Zenodo 2018
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.1435913
https://zenodo.org/record/1435913
id ftdatacite:10.5281/zenodo.1435913
record_format openpolar
spelling 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
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