数字农科院2.0

Up-scaling the latent heat flux from instantaneous to daily-scale: A comparison of three methods

文献类型： 外文期刊

作者： Minghan Cheng ; Lei Shi ; Xiyun Jiao ; Chenwei Nie; Shuaibing Liu; Xun Yu ; Yi Bai ;Yadong Liu ;Yuan Liu ; Ni Song ; Xiuliang Jin

关键词： Up-scaling; Instantaneous; Geosynchronous satellite; Diurnal variation; Evaporation fraction

期刊名称： Journal of Hydrology-Regional Studies

ISSN： 2214-5818

年卷期： 2022 年

页码：

收录情况： JCR（2021版）

摘要： Study region: Two typical flux towers and surrounding 100 km × 100 km areas in Northern China. Study focus: Up-scaling the instantaneous latent heat flux (LE) to daily-scale is an important step for estimate daily evapotranspiration based on satellite observations. This study evaluated the performance three up-scaling methods: constant evaporation fraction (CEF), diurnal LE variation (DLEV) and geosynchronous satellite (GS) by using flux tower and satellite observations at sitescale and regional scales, respectively. The purpose was to improve the accuracy of up-scaling LE. New hydrological insights for the region: The results suggested that: (1) DLEV showed slightly better accuracy (rRMSE = 16.27–26.33%) in estimating daily LE than CEF (rRMSE = 17.21–25.14%) at site-scale; (2) At regional scale, GS showed best accuracy (rRMSE = 34.05%), followed by DLEV (rRMSE = 36.46%), CEF had the worst accuracy (rRMSE = 38.96%); (3) DELV can accurately describe the LE variation during the 8:00–17:00 and show a good agreement with flux tower observations and GS observations, but DLEV cannot guarantee the estimation accuracy outside of this period. In general, this study provided a reference for understanding diurnal LE variation during a single day. Additionally, The DLEV proposed in this study can provide a better up-scaling accuracy of regional LE estimation than the CEF which is currently commonly used.

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[1]Up-scaling the latent heat flux from instantaneous to daily-scale: A comparison of three methods. Minghan Cheng,Lei Shi,Xiyun Jiao,Chenwei Nie,Shuaibing Liu,Xun Yu,Yi Bai,Yadong Liu,Yuan Liu,Ni Song,Xiuliang Jin. 2022

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