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Amazonian terrestrial water balance inferred from satellite-observed water vapor isotopes
Atmospheric humidity and soil moisture in the Amazon forest are tightly coupled to the region’s water balance, or the difference between two moisture fluxes, evapotranspiration minus precipitation (ET-P). However, large and poorly characterized uncertainties in both fluxes, and in their difference,...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9106687/ https://www.ncbi.nlm.nih.gov/pubmed/35562340 http://dx.doi.org/10.1038/s41467-022-30317-4 |
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author | Shi, Mingjie Worden, John R. Bailey, Adriana Noone, David Risi, Camille Fu, Rong Worden, Sarah Herman, Robert Payne, Vivienne Pagano, Thomas Bowman, Kevin Bloom, A. Anthony Saatchi, Sassan Liu, Junjie Fisher, Joshua B. |
author_facet | Shi, Mingjie Worden, John R. Bailey, Adriana Noone, David Risi, Camille Fu, Rong Worden, Sarah Herman, Robert Payne, Vivienne Pagano, Thomas Bowman, Kevin Bloom, A. Anthony Saatchi, Sassan Liu, Junjie Fisher, Joshua B. |
author_sort | Shi, Mingjie |
collection | PubMed |
description | Atmospheric humidity and soil moisture in the Amazon forest are tightly coupled to the region’s water balance, or the difference between two moisture fluxes, evapotranspiration minus precipitation (ET-P). However, large and poorly characterized uncertainties in both fluxes, and in their difference, make it challenging to evaluate spatiotemporal variations of water balance and its dependence on ET or P. Here, we show that satellite observations of the HDO/H(2)O ratio of water vapor are sensitive to spatiotemporal variations of ET-P over the Amazon. When calibrated by basin-scale and mass-balance estimates of ET-P derived from terrestrial water storage and river discharge measurements, the isotopic data demonstrate that rainfall controls wet Amazon water balance variability, but ET becomes important in regulating water balance and its variability in the dry Amazon. Changes in the drivers of ET, such as above ground biomass, could therefore have a larger impact on soil moisture and humidity in the dry (southern and eastern) Amazon relative to the wet Amazon. |
format | Online Article Text |
id | pubmed-9106687 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-91066872022-05-15 Amazonian terrestrial water balance inferred from satellite-observed water vapor isotopes Shi, Mingjie Worden, John R. Bailey, Adriana Noone, David Risi, Camille Fu, Rong Worden, Sarah Herman, Robert Payne, Vivienne Pagano, Thomas Bowman, Kevin Bloom, A. Anthony Saatchi, Sassan Liu, Junjie Fisher, Joshua B. Nat Commun Article Atmospheric humidity and soil moisture in the Amazon forest are tightly coupled to the region’s water balance, or the difference between two moisture fluxes, evapotranspiration minus precipitation (ET-P). However, large and poorly characterized uncertainties in both fluxes, and in their difference, make it challenging to evaluate spatiotemporal variations of water balance and its dependence on ET or P. Here, we show that satellite observations of the HDO/H(2)O ratio of water vapor are sensitive to spatiotemporal variations of ET-P over the Amazon. When calibrated by basin-scale and mass-balance estimates of ET-P derived from terrestrial water storage and river discharge measurements, the isotopic data demonstrate that rainfall controls wet Amazon water balance variability, but ET becomes important in regulating water balance and its variability in the dry Amazon. Changes in the drivers of ET, such as above ground biomass, could therefore have a larger impact on soil moisture and humidity in the dry (southern and eastern) Amazon relative to the wet Amazon. Nature Publishing Group UK 2022-05-13 /pmc/articles/PMC9106687/ /pubmed/35562340 http://dx.doi.org/10.1038/s41467-022-30317-4 Text en © The Author(s) 2022 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Shi, Mingjie Worden, John R. Bailey, Adriana Noone, David Risi, Camille Fu, Rong Worden, Sarah Herman, Robert Payne, Vivienne Pagano, Thomas Bowman, Kevin Bloom, A. Anthony Saatchi, Sassan Liu, Junjie Fisher, Joshua B. Amazonian terrestrial water balance inferred from satellite-observed water vapor isotopes |
title | Amazonian terrestrial water balance inferred from satellite-observed water vapor isotopes |
title_full | Amazonian terrestrial water balance inferred from satellite-observed water vapor isotopes |
title_fullStr | Amazonian terrestrial water balance inferred from satellite-observed water vapor isotopes |
title_full_unstemmed | Amazonian terrestrial water balance inferred from satellite-observed water vapor isotopes |
title_short | Amazonian terrestrial water balance inferred from satellite-observed water vapor isotopes |
title_sort | amazonian terrestrial water balance inferred from satellite-observed water vapor isotopes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9106687/ https://www.ncbi.nlm.nih.gov/pubmed/35562340 http://dx.doi.org/10.1038/s41467-022-30317-4 |
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