Evaluation of the Maximum Evaporation and the Priestley‐Taylor Models for Inland Waterbodies

Abstract The Priestley‐Taylor (PT) model is a classic model of potential evaporation of terrestrial and marine surfaces. It is now recognized that the Bowen ratio ( β ) implicit in the PT model is too sensitive to temperature. The model also requires the surface net radiation ( R n ) as input even though R n is not an independent external forcing. The maximum evaporation model (MEM) proposed by Yang and Roderick (2019, https://doi.org/10.1002/qj.3481 ) is a potential candidate for replacing the PT model. Past studies have evaluated the MEM for land ecosystems and for the global ocean. This study represents the first evaluation of the MEM for inland waterbodies. Results are based on eddy‐covariance observation at a large lake and at a small fishpond. Although there were complex error structures and error compensation patterns among its intermediate variables, the MEM was able to reproduce the observed monthly ( R 2 > 0.95) and interannual variability ( R 2 > 0.78) in the lake latent heat flux. A key assumption of the MEM, that the incoming and outgoing longwave radiation is coupled, was a reasonable approximation at both the monthly and the annual time scale for the large lake and at the monthly time scale for the small fishpond. This assumption allows the MEM to treat R n as an intermediate variable instead of a prescribed forcing. These results support the MEM as an alternative to the PT model at locations where R n measurements are not available. In situations where R n data is available, a revised PT model with reduced β temperature sensitivity is recommended.

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Publication Details

Journal
Journal of Geophysical Research Atmospheres
Published
2024-12-13
DOI
https://doi.org/10.1029/2024jd041071
Citations
2
Primary Topic
Plant Water Relations and Carbon Dynamics
Type
article
Field-Weighted Citation Impact
0.57

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article

Evaluation of the Maximum Evaporation and the Priestley‐Taylor Models for Inland Waterbodies

Jian Yang, Haoran Chu, Xuhui Lee, Wei Xiao et al.
2 citations
Journal of Geophysical Research Atmospheres
Plant Water Relations and Carbon Dynamics
0.57
article

Evaluation of the Maximum Evaporation and the Priestley‐Taylor Models for Inland Waterbodies

Jian Yang, Haoran Chu, Xuhui Lee, Wei Xiao, Zhang Mi, Zhen Zhang, Chang Cao, Ruonan Zhao, Lei Jia, Hengxin Bao, Pei Ge, Jun Wang
article en
2 citations

Abstract

Abstract The Priestley‐Taylor (PT) model is a classic model of potential evaporation of terrestrial and marine surfaces. It is now recognized that the Bowen ratio ( β ) implicit in the PT model is too sensitive to temperature. The model also requires the surface net radiation ( R n ) as input even though R n is not an independent external forcing. The maximum evaporation model (MEM) proposed by Yang and Roderick (2019, https://doi.org/10.1002/qj.3481 ) is a potential candidate for replacing the PT model. Past studies have evaluated the MEM for land ecosystems and for the global ocean. This study represents the first evaluation of the MEM for inland waterbodies. Results are based on eddy‐covariance observation at a large lake and at a small fishpond. Although there were complex error structures and error compensation patterns among its intermediate variables, the MEM was able to reproduce the observed monthly ( R 2 > 0.95) and interannual variability ( R 2 > 0.78) in the lake latent heat flux. A key assumption of the MEM, that the incoming and outgoing longwave radiation is coupled, was a reasonable approximation at both the monthly and the annual time scale for the large lake and at the monthly time scale for the small fishpond. This assumption allows the MEM to treat R n as an intermediate variable instead of a prescribed forcing. These results support the MEM as an alternative to the PT model at locations where R n measurements are not available. In situations where R n data is available, a revised PT model with reduced β temperature sensitivity is recommended.

Journal of Geophysical Research AtmospheresVol. 129(24)
China Meteorological Administration (CN), Nanjing University of Information Science and Technology (CN), Yale University (US), Jiangsu Provincial Meteorological Bureau (CN), Hebei Meteorological Bureau (CN)
National Natural Science Foundation of China
Life below water
Openalex Percentile: Top 32%
Plant Water Relations and Carbon Dynamics
0.57
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