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A spatially comprehensive, hydrometeorological data set for Mexico, the U.S., and Southern Canada 1950–2013
A data set of observed daily precipitation, maximum and minimum temperature, gridded to a 1/16° (~6 km) resolution, is described that spans the entire country of Mexico, the conterminous U.S. (CONUS), and regions of Canada south of 53° N for the period 1950–2013. The dataset improves previous produc...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4540002/ https://www.ncbi.nlm.nih.gov/pubmed/26306206 http://dx.doi.org/10.1038/sdata.2015.42 |
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author | Livneh, Ben Bohn, Theodore J. Pierce, David W. Munoz-Arriola, Francisco Nijssen, Bart Vose, Russell Cayan, Daniel R. Brekke, Levi |
author_facet | Livneh, Ben Bohn, Theodore J. Pierce, David W. Munoz-Arriola, Francisco Nijssen, Bart Vose, Russell Cayan, Daniel R. Brekke, Levi |
author_sort | Livneh, Ben |
collection | PubMed |
description | A data set of observed daily precipitation, maximum and minimum temperature, gridded to a 1/16° (~6 km) resolution, is described that spans the entire country of Mexico, the conterminous U.S. (CONUS), and regions of Canada south of 53° N for the period 1950–2013. The dataset improves previous products in spatial extent, orographic precipitation adjustment over Mexico and parts of Canada, and reduction of transboundary discontinuities. The impacts of adjusting gridded precipitation for orographic effects are quantified by scaling precipitation to an elevation-aware 1981–2010 precipitation climatology in Mexico and Canada. Differences are evaluated in terms of total precipitation as well as by hydrologic quantities simulated with a land surface model. Overall, orographic correction impacts total precipitation by up to 50% in mountainous regions outside CONUS. Hydrologic fluxes show sensitivities of similar magnitude, with discharge more sensitive than evapotranspiration and soil moisture. Because of the consistent gridding methodology, the current product reduces transboundary discontinuities as compared with a commonly used reanalysis product, making it suitable for estimating large-scale hydrometeorologic phenomena. |
format | Online Article Text |
id | pubmed-4540002 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-45400022015-08-24 A spatially comprehensive, hydrometeorological data set for Mexico, the U.S., and Southern Canada 1950–2013 Livneh, Ben Bohn, Theodore J. Pierce, David W. Munoz-Arriola, Francisco Nijssen, Bart Vose, Russell Cayan, Daniel R. Brekke, Levi Sci Data Data Descriptor A data set of observed daily precipitation, maximum and minimum temperature, gridded to a 1/16° (~6 km) resolution, is described that spans the entire country of Mexico, the conterminous U.S. (CONUS), and regions of Canada south of 53° N for the period 1950–2013. The dataset improves previous products in spatial extent, orographic precipitation adjustment over Mexico and parts of Canada, and reduction of transboundary discontinuities. The impacts of adjusting gridded precipitation for orographic effects are quantified by scaling precipitation to an elevation-aware 1981–2010 precipitation climatology in Mexico and Canada. Differences are evaluated in terms of total precipitation as well as by hydrologic quantities simulated with a land surface model. Overall, orographic correction impacts total precipitation by up to 50% in mountainous regions outside CONUS. Hydrologic fluxes show sensitivities of similar magnitude, with discharge more sensitive than evapotranspiration and soil moisture. Because of the consistent gridding methodology, the current product reduces transboundary discontinuities as compared with a commonly used reanalysis product, making it suitable for estimating large-scale hydrometeorologic phenomena. Nature Publishing Group 2015-08-18 /pmc/articles/PMC4540002/ /pubmed/26306206 http://dx.doi.org/10.1038/sdata.2015.42 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0 This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0 Metadata associated with this Data Descriptor is available at http://www.nature.com/sdata/ and is released under the CC0 waiver to maximize reuse. |
spellingShingle | Data Descriptor Livneh, Ben Bohn, Theodore J. Pierce, David W. Munoz-Arriola, Francisco Nijssen, Bart Vose, Russell Cayan, Daniel R. Brekke, Levi A spatially comprehensive, hydrometeorological data set for Mexico, the U.S., and Southern Canada 1950–2013 |
title | A spatially comprehensive, hydrometeorological data set for Mexico, the U.S., and Southern Canada 1950–2013 |
title_full | A spatially comprehensive, hydrometeorological data set for Mexico, the U.S., and Southern Canada 1950–2013 |
title_fullStr | A spatially comprehensive, hydrometeorological data set for Mexico, the U.S., and Southern Canada 1950–2013 |
title_full_unstemmed | A spatially comprehensive, hydrometeorological data set for Mexico, the U.S., and Southern Canada 1950–2013 |
title_short | A spatially comprehensive, hydrometeorological data set for Mexico, the U.S., and Southern Canada 1950–2013 |
title_sort | spatially comprehensive, hydrometeorological data set for mexico, the u.s., and southern canada 1950–2013 |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4540002/ https://www.ncbi.nlm.nih.gov/pubmed/26306206 http://dx.doi.org/10.1038/sdata.2015.42 |
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