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A global long-term daily reanalysis of reference evapotranspiration for drought and food-security monitoring

NOAA has developed a global reference evapotranspiration (ET(0)) reanalysis using the UN Food and Agriculture Organization formulation (FAO-56) of the Penman-Monteith equation forced by MERRA phase 2 (MERRA2) meteorological and radiative drivers. The NOAA ET(0) reanalysis is provided daily from Janu...

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Autores principales: Hobbins, Mike, Jansma, Timen, Sarmiento, Daniel P., McNally, Amy, Magadzire, Tamuka, Jayanthi, Harikishan, Turner, Will, Hoell, Andrew, Husak, Greg, Senay, Gabriel, Boiko, Olena, Budde, Michael, Mogane, Pamella, Dewes, Candida F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10611702/
https://www.ncbi.nlm.nih.gov/pubmed/37891155
http://dx.doi.org/10.1038/s41597-023-02648-4
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author Hobbins, Mike
Jansma, Timen
Sarmiento, Daniel P.
McNally, Amy
Magadzire, Tamuka
Jayanthi, Harikishan
Turner, Will
Hoell, Andrew
Husak, Greg
Senay, Gabriel
Boiko, Olena
Budde, Michael
Mogane, Pamella
Dewes, Candida F.
author_facet Hobbins, Mike
Jansma, Timen
Sarmiento, Daniel P.
McNally, Amy
Magadzire, Tamuka
Jayanthi, Harikishan
Turner, Will
Hoell, Andrew
Husak, Greg
Senay, Gabriel
Boiko, Olena
Budde, Michael
Mogane, Pamella
Dewes, Candida F.
author_sort Hobbins, Mike
collection PubMed
description NOAA has developed a global reference evapotranspiration (ET(0)) reanalysis using the UN Food and Agriculture Organization formulation (FAO-56) of the Penman-Monteith equation forced by MERRA phase 2 (MERRA2) meteorological and radiative drivers. The NOAA ET(0) reanalysis is provided daily from January 1, 1980 to the near-present at a resolution of 0.5° latitude × 0.625° longitude. The reanalysis is verified against station data across southern Africa, a region presenting both significant challenges regarding hydroclimatic variability and observational quantity and quality and significant potential benefits to food-insecure populations. These data are generated from observations from the Southern African Science Service Centre for Climate Change and Adaptive Land Management (SASSCAL) network. We further verified globally against spatially distributed ET(0) derived from two reanalyses–the Global Data Assimilation System (GDAS) and Princeton Global Forcing (PGF)–and these verifications produced similar results, yet demonstrated wide regional and seasonal differences. We also present cases that verify the operational applicability of the reanalysis in long-established drought, famine, crop- and pastoral-stress metrics, and in predictability assessments of drought forecasts.
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spelling pubmed-106117022023-10-29 A global long-term daily reanalysis of reference evapotranspiration for drought and food-security monitoring Hobbins, Mike Jansma, Timen Sarmiento, Daniel P. McNally, Amy Magadzire, Tamuka Jayanthi, Harikishan Turner, Will Hoell, Andrew Husak, Greg Senay, Gabriel Boiko, Olena Budde, Michael Mogane, Pamella Dewes, Candida F. Sci Data Data Descriptor NOAA has developed a global reference evapotranspiration (ET(0)) reanalysis using the UN Food and Agriculture Organization formulation (FAO-56) of the Penman-Monteith equation forced by MERRA phase 2 (MERRA2) meteorological and radiative drivers. The NOAA ET(0) reanalysis is provided daily from January 1, 1980 to the near-present at a resolution of 0.5° latitude × 0.625° longitude. The reanalysis is verified against station data across southern Africa, a region presenting both significant challenges regarding hydroclimatic variability and observational quantity and quality and significant potential benefits to food-insecure populations. These data are generated from observations from the Southern African Science Service Centre for Climate Change and Adaptive Land Management (SASSCAL) network. We further verified globally against spatially distributed ET(0) derived from two reanalyses–the Global Data Assimilation System (GDAS) and Princeton Global Forcing (PGF)–and these verifications produced similar results, yet demonstrated wide regional and seasonal differences. We also present cases that verify the operational applicability of the reanalysis in long-established drought, famine, crop- and pastoral-stress metrics, and in predictability assessments of drought forecasts. Nature Publishing Group UK 2023-10-27 /pmc/articles/PMC10611702/ /pubmed/37891155 http://dx.doi.org/10.1038/s41597-023-02648-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
Hobbins, Mike
Jansma, Timen
Sarmiento, Daniel P.
McNally, Amy
Magadzire, Tamuka
Jayanthi, Harikishan
Turner, Will
Hoell, Andrew
Husak, Greg
Senay, Gabriel
Boiko, Olena
Budde, Michael
Mogane, Pamella
Dewes, Candida F.
A global long-term daily reanalysis of reference evapotranspiration for drought and food-security monitoring
title A global long-term daily reanalysis of reference evapotranspiration for drought and food-security monitoring
title_full A global long-term daily reanalysis of reference evapotranspiration for drought and food-security monitoring
title_fullStr A global long-term daily reanalysis of reference evapotranspiration for drought and food-security monitoring
title_full_unstemmed A global long-term daily reanalysis of reference evapotranspiration for drought and food-security monitoring
title_short A global long-term daily reanalysis of reference evapotranspiration for drought and food-security monitoring
title_sort global long-term daily reanalysis of reference evapotranspiration for drought and food-security monitoring
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10611702/
https://www.ncbi.nlm.nih.gov/pubmed/37891155
http://dx.doi.org/10.1038/s41597-023-02648-4
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