Abstract

Estimation of evapotranspiration (ET) for alpine meadow areas in the Tibetan Plateau (TP) is essential for water resource management. However, observation data has been limited due to the extreme climates and complex terrain of this region. To address these issues, four representative methods, Penman-Monteith (PM), Priestley-Taylor (PT), Hargreaves-Samani (HS), and Mahringer (MG) methods, were adopted to estimate ET, which were then compared with ET measured using Eddy Covariance (EC) for five alpine meadow sites during the growing seasons from 2010 to 2014. And each site was measured for one growing season during this period. The results demonstrate that the PT method outperformed at all sites with a coefficient of determination (R2) ranging from 0.76 to 0.94 and root mean square error (RMSE) ranging from 0.41 to 0.62 mm d-1. The PM method showed better performance than HS and MG methods, and the HS method produced relatively acceptable results with higher R2 (0.46) and lower RMSE (0.89 mm d-1) compared to MG method with R2 of 0.16 and RMSE of 1.62 mm d-1, while MG underestimated ET at all alpine meadow sites. Therefore, the PT method, being the simpler approach and less data dependent, is recommended to estimate ET for alpine meadow areas in the Tibetan Plateau. The PM method produced reliable results when available data were sufficient, and the HS method proved to be a complementary method when variables were insufficient. On the contrary, the MG method always underestimated ET and is, thus, not suitable for alpine meadows. These results provide a basis for estimating ET on the Tibetan Plateau for annual data collection, analysis, and future studies.

Highlights

  • Evapotranspiration (ET) is a significant component in land surface processes related to the water and energy balance and carbon cycles [1]

  • ET estimated by PM, PT, HS, and MG methods over five representative sites were compared to that estimated by Eddy Covariance (EC) (Fig 4)

  • The PT method revealed the best performance at all stations with the highest R2, lowest root mean square error (RMSE), and highest Nash-Sutcliffe efficiency coefficient (NSE) values compared to the other three methods

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Summary

Introduction

Evapotranspiration (ET) is a significant component in land surface processes related to the water and energy balance and carbon cycles [1]. Due to the complexity of terrain and climatic conditions over mountains, the number of observation stations is usually very limited, making it difficult to accurately estimate ET in mountainous regions [6], especially in high-altitude mountains. There are two primary methods generated for this purpose: remote sensing models, and methods using reference ET. Remote sensing models, such as the Surface Energy Balance Algorithm for Land (SEBAL), Surface Energy Balance System (SEBS), and Mapping Evapotranspiration at high Resolution with Internalized Calibration (METRIC), are commonly used to obtain large-scale terrestrial ET [21,22,23]. Sub-pixel terrain complexity is a major issue with the use of remotely sensed models in the mountains

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