Budyko‐Based Long‐Term Water and Energy Balance Closure in Global Watersheds From Earth Observations
Earth observations offer potential pathways for accurately closing the water and energy balance of watersheds, a fundamental challenge in hydrology. However, previous attempts based on purely satellite‐based estimates have focused on closing the water and energy balances separately. They are hindere...
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description | Earth observations offer potential pathways for accurately closing the water and energy balance of watersheds, a fundamental challenge in hydrology. However, previous attempts based on purely satellite‐based estimates have focused on closing the water and energy balances separately. They are hindered by the lack of estimates of key components, such as runoff. Here, we posit a novel approach based on Budyko’s water and energy balance constraints. The approach is applied to quantify the degree of long‐term closure at the watershed scale, as well as its associated uncertainties, using an ensemble of global satellite data sets. We find large spatial variability across aridity, elevation, and other environmental gradients. Specifically, we find a positive correlation between elevation and closure uncertainty, as derived from the Budyko approach. In mountainous watersheds the uncertainty in closure is 3.9 ± 0.7 (dimensionless). Our results show that uncertainties in terrestrial evaporation contribute twice as much as precipitation uncertainties to errors in the closure of water and energy balance. Moreover, our results highlight the need for improving satellite‐based precipitation and evaporation data in humid temperate forests, where the closure error in the Budyko space is as high as 1.1 ± 0.3, compared to only 0.2 ± 0.03 in tropical forests. Comparing the results with land surface model‐based data sets driven by in situ precipitation, we find that Earth observation‐based data sets perform better in regions where precipitation gauges are sparse. These findings have implications for improving the understanding of global hydrology and regional water management and can guide the development of satellite remote sensing‐based data sets and Earth system models.
Key Points
A Budyko‐based approach to water and energy balance closure mitigates the need for runoff data
Errors in water and energy balance closure are influenced more by uncertainties in evaporation rather than precipitation
Inability of Earth observations to close the water and energy balance of temperate forests |
doi_str_mv | 10.1029/2020WR028658 |
format | Article |
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Key Points
A Budyko‐based approach to water and energy balance closure mitigates the need for runoff data
Errors in water and energy balance closure are influenced more by uncertainties in evaporation rather than precipitation
Inability of Earth observations to close the water and energy balance of temperate forests</description><identifier>ISSN: 0043-1397</identifier><identifier>EISSN: 1944-7973</identifier><identifier>DOI: 10.1029/2020WR028658</identifier><identifier>PMID: 34219820</identifier><language>eng</language><publisher>United States: John Wiley & Sons, Inc</publisher><subject>Arid environments ; Aridity ; Atmospheric Processes ; Budyko hypothesis ; Data ; Datasets ; Earth ; Eco‐hydrology ; Elevation ; Energy balance ; Energy Budgets ; Environmental gradient ; Evaporation ; Evaporation data ; evapotranspiration ; Forest humidity ; Gauges ; Geodesy and Gravity ; Global Change ; Hydrology ; Informatics ; Land surface models ; Mathematical Geophysics ; Natural Hazards ; Precipitation ; Precipitation gauges ; Regional development ; Remote Sensing ; Remote Sensing and Disasters ; Remote Sensing of Volcanoes ; Runoff ; Satellite data ; Satellites ; Space Geodetic Surveys ; Spatial variability ; Spatial variations ; Temperate forests ; Tropical climate ; Tropical forests ; Uncertainty ; Uncertainty Assessment ; Uncertainty Quantification ; Volcanology ; water balance ; Water Budgets ; Water management ; Watersheds</subject><ispartof>Water resources research, 2021-05, Vol.57 (5), p.e2020WR028658-n/a</ispartof><rights>2021. The Authors.</rights><rights>2021. This article is published under http://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a4792-785ed6c085ca61cf874ab27c56c35c5d90c8e4abb4e37b29094ebbe235acc9d23</citedby><cites>FETCH-LOGICAL-a4792-785ed6c085ca61cf874ab27c56c35c5d90c8e4abb4e37b29094ebbe235acc9d23</cites><orcidid>0000-0001-5671-0878 ; 0000-0002-9592-2782 ; 0000-0003-2951-0058 ; 0000-0001-6186-5751</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1029%2F2020WR028658$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1029%2F2020WR028658$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,1417,11514,27924,27925,45574,45575,46468,46892</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34219820$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Koppa, Akash</creatorcontrib><creatorcontrib>Alam, Sarfaraz</creatorcontrib><creatorcontrib>Miralles, Diego G.</creatorcontrib><creatorcontrib>Gebremichael, Mekonnen</creatorcontrib><title>Budyko‐Based Long‐Term Water and Energy Balance Closure in Global Watersheds From Earth Observations</title><title>Water resources research</title><addtitle>Water Resour Res</addtitle><description>Earth observations offer potential pathways for accurately closing the water and energy balance of watersheds, a fundamental challenge in hydrology. However, previous attempts based on purely satellite‐based estimates have focused on closing the water and energy balances separately. They are hindered by the lack of estimates of key components, such as runoff. Here, we posit a novel approach based on Budyko’s water and energy balance constraints. The approach is applied to quantify the degree of long‐term closure at the watershed scale, as well as its associated uncertainties, using an ensemble of global satellite data sets. We find large spatial variability across aridity, elevation, and other environmental gradients. Specifically, we find a positive correlation between elevation and closure uncertainty, as derived from the Budyko approach. In mountainous watersheds the uncertainty in closure is 3.9 ± 0.7 (dimensionless). Our results show that uncertainties in terrestrial evaporation contribute twice as much as precipitation uncertainties to errors in the closure of water and energy balance. Moreover, our results highlight the need for improving satellite‐based precipitation and evaporation data in humid temperate forests, where the closure error in the Budyko space is as high as 1.1 ± 0.3, compared to only 0.2 ± 0.03 in tropical forests. Comparing the results with land surface model‐based data sets driven by in situ precipitation, we find that Earth observation‐based data sets perform better in regions where precipitation gauges are sparse. These findings have implications for improving the understanding of global hydrology and regional water management and can guide the development of satellite remote sensing‐based data sets and Earth system models.
Key Points
A Budyko‐based approach to water and energy balance closure mitigates the need for runoff data
Errors in water and energy balance closure are influenced more by uncertainties in evaporation rather than precipitation
Inability of Earth observations to close the water and energy balance of temperate forests</description><subject>Arid environments</subject><subject>Aridity</subject><subject>Atmospheric Processes</subject><subject>Budyko hypothesis</subject><subject>Data</subject><subject>Datasets</subject><subject>Earth</subject><subject>Eco‐hydrology</subject><subject>Elevation</subject><subject>Energy balance</subject><subject>Energy Budgets</subject><subject>Environmental gradient</subject><subject>Evaporation</subject><subject>Evaporation data</subject><subject>evapotranspiration</subject><subject>Forest humidity</subject><subject>Gauges</subject><subject>Geodesy and Gravity</subject><subject>Global Change</subject><subject>Hydrology</subject><subject>Informatics</subject><subject>Land surface models</subject><subject>Mathematical Geophysics</subject><subject>Natural Hazards</subject><subject>Precipitation</subject><subject>Precipitation gauges</subject><subject>Regional development</subject><subject>Remote Sensing</subject><subject>Remote Sensing and Disasters</subject><subject>Remote Sensing of Volcanoes</subject><subject>Runoff</subject><subject>Satellite data</subject><subject>Satellites</subject><subject>Space Geodetic Surveys</subject><subject>Spatial variability</subject><subject>Spatial variations</subject><subject>Temperate forests</subject><subject>Tropical climate</subject><subject>Tropical forests</subject><subject>Uncertainty</subject><subject>Uncertainty Assessment</subject><subject>Uncertainty Quantification</subject><subject>Volcanology</subject><subject>water balance</subject><subject>Water Budgets</subject><subject>Water management</subject><subject>Watersheds</subject><issn>0043-1397</issn><issn>1944-7973</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>WIN</sourceid><recordid>eNp9kc1uEzEUhS0EoqGwY40ssWHBgH_H9gaJRGlBilQpKsrS8nhukikzdrFnirLjEXhGngRXKVVhwerq3vvp6BwdhF5S8o4SZt4zwshmTZiupX6EZtQIUSmj-GM0I0TwinKjTtCznK8IoULW6ik64YJRoxmZof18ag9f468fP-cuQ4tXMezKcglpwBs3QsIutHgZIO0OeO56FzzgRR_zlAB3AZ_3sXH9Ec17aDM-S3HAS5fGPb5oMqQbN3Yx5Ofoydb1GV7czVP05Wx5ufhUrS7OPy8-rionlGGV0hLa2hMtvaup32olXMOUl7Xn0svWEK-hnBoBXDXMECOgaYBx6bw3LeOn6MNR93pqBmg9hDG53l6nbnDpYKPr7N-f0O3tLt5YzYQgwhSBN3cCKX6bII926LKHvkSHOGXLpNA1FZSLgr7-B72KUwolXqE4o0LU-tbR2yPlU8w5wfbeDCX2tkL7sMKCv3oY4B7-01kB-BH43vVw-K-Y3awXayaZYPw3W1GoSw</recordid><startdate>202105</startdate><enddate>202105</enddate><creator>Koppa, Akash</creator><creator>Alam, Sarfaraz</creator><creator>Miralles, Diego G.</creator><creator>Gebremichael, Mekonnen</creator><general>John Wiley & Sons, Inc</general><general>John Wiley and Sons Inc</general><scope>24P</scope><scope>WIN</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7QL</scope><scope>7T7</scope><scope>7TG</scope><scope>7U9</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H94</scope><scope>H96</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>M7N</scope><scope>P64</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-5671-0878</orcidid><orcidid>https://orcid.org/0000-0002-9592-2782</orcidid><orcidid>https://orcid.org/0000-0003-2951-0058</orcidid><orcidid>https://orcid.org/0000-0001-6186-5751</orcidid></search><sort><creationdate>202105</creationdate><title>Budyko‐Based Long‐Term Water and Energy Balance Closure in Global Watersheds From Earth Observations</title><author>Koppa, Akash ; Alam, Sarfaraz ; Miralles, Diego G. ; Gebremichael, Mekonnen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a4792-785ed6c085ca61cf874ab27c56c35c5d90c8e4abb4e37b29094ebbe235acc9d23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Arid environments</topic><topic>Aridity</topic><topic>Atmospheric Processes</topic><topic>Budyko hypothesis</topic><topic>Data</topic><topic>Datasets</topic><topic>Earth</topic><topic>Eco‐hydrology</topic><topic>Elevation</topic><topic>Energy balance</topic><topic>Energy Budgets</topic><topic>Environmental gradient</topic><topic>Evaporation</topic><topic>Evaporation data</topic><topic>evapotranspiration</topic><topic>Forest humidity</topic><topic>Gauges</topic><topic>Geodesy and Gravity</topic><topic>Global Change</topic><topic>Hydrology</topic><topic>Informatics</topic><topic>Land surface models</topic><topic>Mathematical Geophysics</topic><topic>Natural Hazards</topic><topic>Precipitation</topic><topic>Precipitation gauges</topic><topic>Regional development</topic><topic>Remote Sensing</topic><topic>Remote Sensing and Disasters</topic><topic>Remote Sensing of Volcanoes</topic><topic>Runoff</topic><topic>Satellite data</topic><topic>Satellites</topic><topic>Space Geodetic Surveys</topic><topic>Spatial variability</topic><topic>Spatial variations</topic><topic>Temperate forests</topic><topic>Tropical climate</topic><topic>Tropical forests</topic><topic>Uncertainty</topic><topic>Uncertainty Assessment</topic><topic>Uncertainty Quantification</topic><topic>Volcanology</topic><topic>water balance</topic><topic>Water Budgets</topic><topic>Water management</topic><topic>Watersheds</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Koppa, Akash</creatorcontrib><creatorcontrib>Alam, Sarfaraz</creatorcontrib><creatorcontrib>Miralles, Diego G.</creatorcontrib><creatorcontrib>Gebremichael, Mekonnen</creatorcontrib><collection>Wiley Online Library (Open Access Collection)</collection><collection>Wiley Free Content</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Aqualine</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Water resources research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Koppa, Akash</au><au>Alam, Sarfaraz</au><au>Miralles, Diego G.</au><au>Gebremichael, Mekonnen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Budyko‐Based Long‐Term Water and Energy Balance Closure in Global Watersheds From Earth Observations</atitle><jtitle>Water resources research</jtitle><addtitle>Water Resour Res</addtitle><date>2021-05</date><risdate>2021</risdate><volume>57</volume><issue>5</issue><spage>e2020WR028658</spage><epage>n/a</epage><pages>e2020WR028658-n/a</pages><issn>0043-1397</issn><eissn>1944-7973</eissn><abstract>Earth observations offer potential pathways for accurately closing the water and energy balance of watersheds, a fundamental challenge in hydrology. However, previous attempts based on purely satellite‐based estimates have focused on closing the water and energy balances separately. They are hindered by the lack of estimates of key components, such as runoff. Here, we posit a novel approach based on Budyko’s water and energy balance constraints. The approach is applied to quantify the degree of long‐term closure at the watershed scale, as well as its associated uncertainties, using an ensemble of global satellite data sets. We find large spatial variability across aridity, elevation, and other environmental gradients. Specifically, we find a positive correlation between elevation and closure uncertainty, as derived from the Budyko approach. In mountainous watersheds the uncertainty in closure is 3.9 ± 0.7 (dimensionless). Our results show that uncertainties in terrestrial evaporation contribute twice as much as precipitation uncertainties to errors in the closure of water and energy balance. Moreover, our results highlight the need for improving satellite‐based precipitation and evaporation data in humid temperate forests, where the closure error in the Budyko space is as high as 1.1 ± 0.3, compared to only 0.2 ± 0.03 in tropical forests. Comparing the results with land surface model‐based data sets driven by in situ precipitation, we find that Earth observation‐based data sets perform better in regions where precipitation gauges are sparse. These findings have implications for improving the understanding of global hydrology and regional water management and can guide the development of satellite remote sensing‐based data sets and Earth system models.
Key Points
A Budyko‐based approach to water and energy balance closure mitigates the need for runoff data
Errors in water and energy balance closure are influenced more by uncertainties in evaporation rather than precipitation
Inability of Earth observations to close the water and energy balance of temperate forests</abstract><cop>United States</cop><pub>John Wiley & Sons, Inc</pub><pmid>34219820</pmid><doi>10.1029/2020WR028658</doi><tpages>25</tpages><orcidid>https://orcid.org/0000-0001-5671-0878</orcidid><orcidid>https://orcid.org/0000-0002-9592-2782</orcidid><orcidid>https://orcid.org/0000-0003-2951-0058</orcidid><orcidid>https://orcid.org/0000-0001-6186-5751</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Arid environments Aridity Atmospheric Processes Budyko hypothesis Data Datasets Earth Eco‐hydrology Elevation Energy balance Energy Budgets Environmental gradient Evaporation Evaporation data evapotranspiration Forest humidity Gauges Geodesy and Gravity Global Change Hydrology Informatics Land surface models Mathematical Geophysics Natural Hazards Precipitation Precipitation gauges Regional development Remote Sensing Remote Sensing and Disasters Remote Sensing of Volcanoes Runoff Satellite data Satellites Space Geodetic Surveys Spatial variability Spatial variations Temperate forests Tropical climate Tropical forests Uncertainty Uncertainty Assessment Uncertainty Quantification Volcanology water balance Water Budgets Water management Watersheds |
title | Budyko‐Based Long‐Term Water and Energy Balance Closure in Global Watersheds From Earth Observations |
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