2022
DOI: 10.1002/joc.7964
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Elevation‐dependent changes in the trend of reference evapotranspiration in the Tibetan Plateau during 1960–2017

Abstract: Elevation plays a crucial role in modulating the spatiotemporal distributions of climatic variables in mountainous regions, which affects water and energy balances, among which reference evapotranspiration (ET0) is a key hydrological indicator. However, the response of ET0 to climate change with elevation continues to be poorly understood, especially in the Tibetan Plateau (TP) which has elevation variations of more than 4,000 m. The spatiotemporal variations of ET0 with elevation were investigated using long‐… Show more

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Cited by 6 publications
(2 citation statements)
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“…Traditional methods such as pan evaporation, lysimeters, and flux points can obtain single-point high-precision ET information [9,10], but they are also limited by the heterogeneity of the number of observatories and their spatial distribution [11]. As remote sensing continues to evolve, estimates of ET at different regional scales and over long periods have provided a robust database for research [12,13]. Among these data sources, MOD16 products have been proven to have an accuracy of 80-90% in ET estimation and are widely used in ET studies at different scales [14][15][16].…”
Section: Introductionmentioning
confidence: 99%
“…Traditional methods such as pan evaporation, lysimeters, and flux points can obtain single-point high-precision ET information [9,10], but they are also limited by the heterogeneity of the number of observatories and their spatial distribution [11]. As remote sensing continues to evolve, estimates of ET at different regional scales and over long periods have provided a robust database for research [12,13]. Among these data sources, MOD16 products have been proven to have an accuracy of 80-90% in ET estimation and are widely used in ET studies at different scales [14][15][16].…”
Section: Introductionmentioning
confidence: 99%
“…In greater detail, ET o is influenced by elevation-related factors that can lead to notable variations in ET o values, especially in mountainous regions. Higher elevations typically yield lower ET o values due to the combined impact of lower temperatures, reduced atmospheric pressure, and potential alterations in solar radiation and relative humidity [ 70 , 71 ]. Therefore, if the elevation of a weather station differs substantially from the average elevation of the corresponding grid cell, the gridded data may not accurately reflect the weather conditions measured at that station [ 72 ].…”
Section: Discussionmentioning
confidence: 99%