Analysis of evapotranspiration pattern by SEBAL model during the growing season in the agro-pastoral ecotone in Northwest China
Evapotranspiration(ET) is the major component of water cycle and energy balance in the soil-vegetation-atmosphere system. Accurate estimation of regional ET is crucial to agricultural water allocation and water resources management. Combining the MODIS data and the meteorological observations from n...
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description | Evapotranspiration(ET) is the major component of water cycle and energy balance in the soil-vegetation-atmosphere system. Accurate estimation of regional ET is crucial to agricultural water allocation and water resources management. Combining the MODIS data and the meteorological observations from national weather stations, this paper used the SEBAL(Surface Energy Balance Algorithms for Land) model of energy balance theory to estimate the ET pattern of agro-pastoral ecotone in Northwest China during the growing season in 2015(April to October). The Penman-Monteith formula(P-M), together with the crop coefficients, was used to compare the ET results by the SEBAL model. The results show that the average absolute error between the SEBAL and the P-M ET values is 0.79 mm/d, the root mean square error(RMSE) is 0.94 mm/d, and R~2=0.76. While slightly higher than the actual ET values, the SEBAL estimated ET values reasonably represent ET pattern in the study region. The range of daily average ET is 0.12-10.66 mm/d, a |
doi_str_mv | 10.5846/stxb201901100089 |
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Accurate estimation of regional ET is crucial to agricultural water allocation and water resources management. Combining the MODIS data and the meteorological observations from national weather stations, this paper used the SEBAL(Surface Energy Balance Algorithms for Land) model of energy balance theory to estimate the ET pattern of agro-pastoral ecotone in Northwest China during the growing season in 2015(April to October). The Penman-Monteith formula(P-M), together with the crop coefficients, was used to compare the ET results by the SEBAL model. The results show that the average absolute error between the SEBAL and the P-M ET values is 0.79 mm/d, the root mean square error(RMSE) is 0.94 mm/d, and R~2=0.76. While slightly higher than the actual ET values, the SEBAL estimated ET values reasonably represent ET pattern in the study region. The range of daily average ET is 0.12-10.66 mm/d, a</description><identifier>ISSN: 1000-0933</identifier><identifier>DOI: 10.5846/stxb201901100089</identifier><language>chi</language><publisher>Beijing: Science Press</publisher><subject>Agricultural management ; Albedo ; Algorithms ; Cultivated lands ; Energy balance ; Evapotranspiration ; Grasslands ; Growing season ; Hydrologic cycle ; Land use ; Net radiation ; Pattern analysis ; Radiation ; Resource management ; Root-mean-square errors ; Statistical analysis ; Surface energy ; Surface properties ; Surface temperature ; Water allocation ; Water management ; Water resources ; Water resources management ; Weather stations</subject><ispartof>Shengtai Xuebao = Acta Ecologica Sinica, 2020-04 (7), p.2175</ispartof><rights>Copyright Science Press 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Li, Xuliang</creatorcontrib><creatorcontrib>Yang, Lixiao</creatorcontrib><creatorcontrib>Xu, Xuefeng</creatorcontrib><creatorcontrib>Tian, Wei</creatorcontrib><creatorcontrib>He, Chansheng</creatorcontrib><title>Analysis of evapotranspiration pattern by SEBAL model during the growing season in the agro-pastoral ecotone in Northwest China</title><title>Shengtai Xuebao = Acta Ecologica Sinica</title><description>Evapotranspiration(ET) is the major component of water cycle and energy balance in the soil-vegetation-atmosphere system. Accurate estimation of regional ET is crucial to agricultural water allocation and water resources management. Combining the MODIS data and the meteorological observations from national weather stations, this paper used the SEBAL(Surface Energy Balance Algorithms for Land) model of energy balance theory to estimate the ET pattern of agro-pastoral ecotone in Northwest China during the growing season in 2015(April to October). The Penman-Monteith formula(P-M), together with the crop coefficients, was used to compare the ET results by the SEBAL model. The results show that the average absolute error between the SEBAL and the P-M ET values is 0.79 mm/d, the root mean square error(RMSE) is 0.94 mm/d, and R~2=0.76. While slightly higher than the actual ET values, the SEBAL estimated ET values reasonably represent ET pattern in the study region. The range of daily average ET is 0.12-10.66 mm/d, a</description><subject>Agricultural management</subject><subject>Albedo</subject><subject>Algorithms</subject><subject>Cultivated lands</subject><subject>Energy balance</subject><subject>Evapotranspiration</subject><subject>Grasslands</subject><subject>Growing season</subject><subject>Hydrologic cycle</subject><subject>Land use</subject><subject>Net radiation</subject><subject>Pattern analysis</subject><subject>Radiation</subject><subject>Resource management</subject><subject>Root-mean-square errors</subject><subject>Statistical analysis</subject><subject>Surface energy</subject><subject>Surface properties</subject><subject>Surface temperature</subject><subject>Water allocation</subject><subject>Water management</subject><subject>Water resources</subject><subject>Water resources management</subject><subject>Weather stations</subject><issn>1000-0933</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNotTz1PwzAU9AASpbAzWmIOPMexY4-lKh9SBQPdq5fkpU0V7GC7FCb-Oikw3elOd6dj7ErAjTKFvo3ps8pBWBACAIw9YZMjycBKecbOY9wBSBDSTtj3zGH_FbvIfcvpAwefAro4dAFT5x0fMCUKjldf_HVxN1vyN99Qz5t96NyGpy3xTfCHI4-EcQx07lfFUc4GjMkH7DnVPnlHR_PZh7Q9UEx8vu0cXrDTFvtIl_84Zav7xWr-mC1fHp7ms2U2WJOyuhCiqWqqTN1q1UhSgCXmShIQSCPqIgdVtrLVZZmLQrRWWWl0JYUGo5WQU3b9VzsE_74f19c7vw_j9bjOC1Bagyy1_AHlqmB1</recordid><startdate>20200401</startdate><enddate>20200401</enddate><creator>Li, Xuliang</creator><creator>Yang, Lixiao</creator><creator>Xu, Xuefeng</creator><creator>Tian, Wei</creator><creator>He, Chansheng</creator><general>Science Press</general><scope>7SN</scope><scope>7ST</scope><scope>7UA</scope><scope>C1K</scope><scope>SOI</scope></search><sort><creationdate>20200401</creationdate><title>Analysis of evapotranspiration pattern by SEBAL model during the growing season in the agro-pastoral ecotone in Northwest China</title><author>Li, Xuliang ; Yang, Lixiao ; Xu, Xuefeng ; Tian, Wei ; He, Chansheng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p98t-c411dbceb8cf65d3e50a7a253e0e0381c42057f3f6772141f959386b316086513</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>chi</language><creationdate>2020</creationdate><topic>Agricultural management</topic><topic>Albedo</topic><topic>Algorithms</topic><topic>Cultivated lands</topic><topic>Energy balance</topic><topic>Evapotranspiration</topic><topic>Grasslands</topic><topic>Growing season</topic><topic>Hydrologic cycle</topic><topic>Land use</topic><topic>Net radiation</topic><topic>Pattern analysis</topic><topic>Radiation</topic><topic>Resource management</topic><topic>Root-mean-square errors</topic><topic>Statistical analysis</topic><topic>Surface energy</topic><topic>Surface properties</topic><topic>Surface temperature</topic><topic>Water allocation</topic><topic>Water management</topic><topic>Water resources</topic><topic>Water resources management</topic><topic>Weather stations</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Xuliang</creatorcontrib><creatorcontrib>Yang, Lixiao</creatorcontrib><creatorcontrib>Xu, Xuefeng</creatorcontrib><creatorcontrib>Tian, Wei</creatorcontrib><creatorcontrib>He, Chansheng</creatorcontrib><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Environment Abstracts</collection><jtitle>Shengtai Xuebao = Acta Ecologica Sinica</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Xuliang</au><au>Yang, Lixiao</au><au>Xu, Xuefeng</au><au>Tian, Wei</au><au>He, Chansheng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analysis of evapotranspiration pattern by SEBAL model during the growing season in the agro-pastoral ecotone in Northwest China</atitle><jtitle>Shengtai Xuebao = Acta Ecologica Sinica</jtitle><date>2020-04-01</date><risdate>2020</risdate><issue>7</issue><spage>2175</spage><pages>2175-</pages><issn>1000-0933</issn><abstract>Evapotranspiration(ET) is the major component of water cycle and energy balance in the soil-vegetation-atmosphere system. Accurate estimation of regional ET is crucial to agricultural water allocation and water resources management. Combining the MODIS data and the meteorological observations from national weather stations, this paper used the SEBAL(Surface Energy Balance Algorithms for Land) model of energy balance theory to estimate the ET pattern of agro-pastoral ecotone in Northwest China during the growing season in 2015(April to October). The Penman-Monteith formula(P-M), together with the crop coefficients, was used to compare the ET results by the SEBAL model. The results show that the average absolute error between the SEBAL and the P-M ET values is 0.79 mm/d, the root mean square error(RMSE) is 0.94 mm/d, and R~2=0.76. While slightly higher than the actual ET values, the SEBAL estimated ET values reasonably represent ET pattern in the study region. The range of daily average ET is 0.12-10.66 mm/d, a</abstract><cop>Beijing</cop><pub>Science Press</pub><doi>10.5846/stxb201901100089</doi></addata></record> |
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subjects | Agricultural management Albedo Algorithms Cultivated lands Energy balance Evapotranspiration Grasslands Growing season Hydrologic cycle Land use Net radiation Pattern analysis Radiation Resource management Root-mean-square errors Statistical analysis Surface energy Surface properties Surface temperature Water allocation Water management Water resources Water resources management Weather stations |
title | Analysis of evapotranspiration pattern by SEBAL model during the growing season in the agro-pastoral ecotone in Northwest China |
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