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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Short summary
It remains unclear that at which time scale the complementary principle performs best on estimating evaporation. In this study, evaporation estimation was assessed over 88 eddy covariance monitoring sites at multiple time scales. The results indicate that the generalized complementary functions perform best in estimating evaporation at the monthly scale. This study provides a reference for choosing the suitable timestep for evaporation estimation in relevant studies.
Preprints
https://doi.org/10.5194/hess-2020-379
https://doi.org/10.5194/hess-2020-379

  18 Aug 2020

18 Aug 2020

Review status: a revised version of this preprint was accepted for the journal HESS and is expected to appear here in due course.

At which time scale does the complementary principle perform best on evaporation estimation?

Liming Wang1, Songjun Han2, and Fuqiang Tian1 Liming Wang et al.
  • 1Department of Hydraulic Engineering, State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China
  • 2State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China

Abstract. The complementary principle has been widely used to estimate evaporation under different conditions. However, it remains unclear that at which time scale the complementary principle performs best. In this study, evaporation estimation was assessed over 88 eddy covariance (EC) monitoring sites at multiple time scales (daily, weekly, monthly, and yearly) by using the sigmoid and polynomial generalized complementary functions. The results indicate that the generalized complementary functions exhibit the highest skill in estimating evaporation at the monthly scale. The uncertainty analysis shows that this conclusion is not affected by ecosystem types nor energy correction methods. Through comparisons at multiple time scales, we found that the slight difference between the two generalized complementary functions only exists when the independent variable (x) in the functions approaches 1. The difference results in different performance of the two models at daily and weekly scales. However, such difference vanishes at monthly and annual time scales as few high x occurrences. This study demonstrates the applicability of the generalized complementary functions across multiple time scales and provides a reference for choosing the suitable timestep for evaporation estimation in relevant studies.

Liming Wang et al.

 
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Status: closed
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Liming Wang et al.

Liming Wang et al.

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Latest update: 15 Jan 2021
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Short summary
It remains unclear that at which time scale the complementary principle performs best on estimating evaporation. In this study, evaporation estimation was assessed over 88 eddy covariance monitoring sites at multiple time scales. The results indicate that the generalized complementary functions perform best in estimating evaporation at the monthly scale. This study provides a reference for choosing the suitable timestep for evaporation estimation in relevant studies.
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