Estimating Ecosystem Evaporation and Transpiration Using Soil Moisture Coupled Two-Source Energy Balance Model Across Fluxnet Sites

作     者：Xue, Kejia Song, Lisheng Xu, Yanhao Liu, Shaomin Zhao, Genle Tao, Sinuo Magliulo, Enzo Manco, Antonio Liddell, Michael Wohlfahrt, Georg Varlagin, Andrej Montagnani, Leonardo Woodgate, William Loubet, Benjamin Zhao, Long 

作者机构：Anhui Province Key Laboratory of Earth Surface Processes and Regional Response in the Yangtze-Huaihe River Basin School of Geography and Tourism Anhui Normal University Jinfo Mountain Chongqing241002 China Karst Ecosystem National Observation and Research Station School of Geographical Sciences Southwest University Chongqing400715 China State Key Laboratory of Earth Surface Processes and Resource Ecology Faculty of Geographical Sciences Beijing Normal University Beijing100875 China Institute for Agricultural and Forestry Systems in the Mediterranean National Research Council of Italy CNR-ISAFOM Piazzale Enrico Fermi 1 NA Portici Italy Centre for Tropical Environmental and Sustainability Science College of Science and Engineering James Cook University CairnsQLD4878 Australia Department of Ecology University of Innsbruck Sternwartestr. 15 Innsbruck6020 Austria A.N. Severtsov Institute of Ecology and Evolution Russian Academy of Sciences Leninsky pr.33 Moscow119071 Russia Forest Services Autonomous Province of Bolzano Bolzano Italy Faculty of Science and Technology Free University of Bozen-Bolzano Piazza Università Bolzano Italy Remote Sensing Research Centre School of Earth and Environmental Sciences The University of Queensland BrisbaneQLD4072 Australia Université Paris-Saclay UMR ECOSYS INRAE AgroParisTech Thiverval-Grignon78850 France 

出 版 物：《SSRN》 

年 卷 期：2022年

核心收录：

主　　题：Evapotranspiration 

摘      要：The two-source energy balance model coupled with soil moisture (TSEB-SM) was evaluated against observations from a global set of 57 sites, part of the FLUXNET2015 dataset. In addition, modeled soil evaporation (E) and transpiration (T) were compared with the values obtained from the Transpiration Estimation Algorithm (TEA) and underlying water use efficiency (uWUE) approaches. The TSEB-SM model framework using near-surface soil moisture improved the agreement between observed and modeled surface heat fluxes, reducing mean absolute percentage error (MAPE) by 30%-50% and root mean square error (RMSE) by about 100 W/m 2 across nearly all sites. The results show that the advantage of the TSEB-SM model, with respect to the original TSEB, becomes more evident as the ratio of actual to potential evapotranspiration (AET/PET) decreases. The E and T produced by TSEB-SM has better correlation with uWUE especially under low soil water content condition. Likewise, TSEB-SM is superior to TSEB in simulating T when compared with sap flow measurements derived from the SAPFLUXNET database. Overall, the patterns of surface heat flux and daily ET estimated by the TSEB-SM model are plausible. This implies that the initial application of the TSEB-SM has made significant advances in modeling surface water fluxes, even though uncertainties remain. The approach used in TSEB-SM provides valuable information on water use by driving the model with a parametric alternative to the complex interactions of ecosystems used in Global Climate Model. This provides a unique insight into the flow of energy and the role of surface fluxes in the global water cycle. © 2022, The Authors. All rights reserved.