Estimating Regional Evapotranspiration Using a Satellite-Based Wind Speed Avoiding Priestley–Taylor Approach

Wind speed (<i>u</i>) is a significant constraint in the evapotranspiration modeling over the highly heterogeneous regional surface due to its high temporal-spatial variation. In this study, a satellite-based Wind Speed Avoiding Priestley–Taylor (WAPT) algorithm was proposed to estimate...

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Autores principales:	Jingjing Sun, Wen Wang, Xiaogang Wang, Dui Huang
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	evapotranspiration remote sensing trapezoidal space wind speed Priestley–Taylor equation Hydraulic engineering TC1-978 Water supply for domestic and industrial purposes TD201-500
Acceso en línea:	https://doaj.org/article/1f23551591704d7590228a2aa3797e7d
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id	oai:doaj.org-article:1f23551591704d7590228a2aa3797e7d
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spelling	oai:doaj.org-article:1f23551591704d7590228a2aa3797e7d2021-11-11T19:58:31ZEstimating Regional Evapotranspiration Using a Satellite-Based Wind Speed Avoiding Priestley–Taylor Approach10.3390/w132131442073-4441https://doaj.org/article/1f23551591704d7590228a2aa3797e7d2021-11-01T00:00:00Zhttps://www.mdpi.com/2073-4441/13/21/3144https://doaj.org/toc/2073-4441Wind speed (<i>u</i>) is a significant constraint in the evapotranspiration modeling over the highly heterogeneous regional surface due to its high temporal-spatial variation. In this study, a satellite-based Wind Speed Avoiding Priestley–Taylor (WAPT) algorithm was proposed to estimate the regional actual evapotranspiration by employing a <i>u</i>-independent theoretical trapezoidal space to determine the pixel Priestley–Taylor (PT) parameter <i>Φ</i>. The WAPT model was comprehensively evaluated with hydro-meteorological observations in the arid Heihe River Basin in northwestern China. The results show that the WAPT model can provide reliable latent heat flux estimations with the root-mean-square error (RMSE) of 46.0 W/m<sup>2</sup> across 2013–2018 for 5 long-term observation stations and the RMSE of 49.6 W/m<sup>2</sup> in the growing season in 2012 for 21 stations with intensive observations. The estimation by WAPT has a higher precision in the vegetation growing season than in the non-growing season. The estimation by WAPT has a closer agreement with the ground observations for vegetation-covered surfaces (e.g., corn and wetland) than that for dry sites (e.g., Gobi, desert, and desert steppe).Jingjing SunWen WangXiaogang WangDui HuangMDPI AGarticleevapotranspirationremote sensingtrapezoidal spacewind speedPriestley–Taylor equationHydraulic engineeringTC1-978Water supply for domestic and industrial purposesTD201-500ENWater, Vol 13, Iss 3144, p 3144 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	evapotranspiration remote sensing trapezoidal space wind speed Priestley–Taylor equation Hydraulic engineering TC1-978 Water supply for domestic and industrial purposes TD201-500
spellingShingle	evapotranspiration remote sensing trapezoidal space wind speed Priestley–Taylor equation Hydraulic engineering TC1-978 Water supply for domestic and industrial purposes TD201-500 Jingjing Sun Wen Wang Xiaogang Wang Dui Huang Estimating Regional Evapotranspiration Using a Satellite-Based Wind Speed Avoiding Priestley–Taylor Approach
description	Wind speed (<i>u</i>) is a significant constraint in the evapotranspiration modeling over the highly heterogeneous regional surface due to its high temporal-spatial variation. In this study, a satellite-based Wind Speed Avoiding Priestley–Taylor (WAPT) algorithm was proposed to estimate the regional actual evapotranspiration by employing a <i>u</i>-independent theoretical trapezoidal space to determine the pixel Priestley–Taylor (PT) parameter <i>Φ</i>. The WAPT model was comprehensively evaluated with hydro-meteorological observations in the arid Heihe River Basin in northwestern China. The results show that the WAPT model can provide reliable latent heat flux estimations with the root-mean-square error (RMSE) of 46.0 W/m<sup>2</sup> across 2013–2018 for 5 long-term observation stations and the RMSE of 49.6 W/m<sup>2</sup> in the growing season in 2012 for 21 stations with intensive observations. The estimation by WAPT has a higher precision in the vegetation growing season than in the non-growing season. The estimation by WAPT has a closer agreement with the ground observations for vegetation-covered surfaces (e.g., corn and wetland) than that for dry sites (e.g., Gobi, desert, and desert steppe).
format	article
author	Jingjing Sun Wen Wang Xiaogang Wang Dui Huang
author_facet	Jingjing Sun Wen Wang Xiaogang Wang Dui Huang
author_sort	Jingjing Sun
title	Estimating Regional Evapotranspiration Using a Satellite-Based Wind Speed Avoiding Priestley–Taylor Approach
title_short	Estimating Regional Evapotranspiration Using a Satellite-Based Wind Speed Avoiding Priestley–Taylor Approach
title_full	Estimating Regional Evapotranspiration Using a Satellite-Based Wind Speed Avoiding Priestley–Taylor Approach
title_fullStr	Estimating Regional Evapotranspiration Using a Satellite-Based Wind Speed Avoiding Priestley–Taylor Approach
title_full_unstemmed	Estimating Regional Evapotranspiration Using a Satellite-Based Wind Speed Avoiding Priestley–Taylor Approach
title_sort	estimating regional evapotranspiration using a satellite-based wind speed avoiding priestley–taylor approach
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/1f23551591704d7590228a2aa3797e7d
work_keys_str_mv	AT jingjingsun estimatingregionalevapotranspirationusingasatellitebasedwindspeedavoidingpriestleytaylorapproach AT wenwang estimatingregionalevapotranspirationusingasatellitebasedwindspeedavoidingpriestleytaylorapproach AT xiaogangwang estimatingregionalevapotranspirationusingasatellitebasedwindspeedavoidingpriestleytaylorapproach AT duihuang estimatingregionalevapotranspirationusingasatellitebasedwindspeedavoidingpriestleytaylorapproach
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Estimating Regional Evapotranspiration Using a Satellite-Based Wind Speed Avoiding Priestley–Taylor Approach

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