气候变化领域集成服务门户(CCPortal): Improving parameterization of an evapotranspiration estimation model with eddy covariance measurements for a regional irrigation scheduling program

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DOI	10.1016/j.agrformet.2024.109967
	Improving parameterization of an evapotranspiration estimation model with eddy covariance measurements for a regional irrigation scheduling program
	Talib, Ammara; Desai, Ankur R.; Huang, Jingyi; Thom, Jonathan; Panuska, John C.; Stoy, Paul. C.
发表日期	2024
ISSN	0168-1923
EISSN	1873-2240
起始页码	350
卷号	350
英文摘要	Actual evapotranspiration (ET a ) is an essential variable in linking energy cycles, carbon, and water, yet challenging to measure. Inputs uncertainty and deficiencies in the key elements of hydrologic models are fundamental challenges for optimizing model performance. Furthermore, the performance of land surface model -based ET a , reanalysis, and remote sensing products varies with spatiotemporal scales. Here, we evaluate sources of bias in the regional Wisconsin Irrigation and Scheduling Program (WISP) model and develop a correction using eddy covariance (EC) observations. ET a , observations were made for five years (2018 - 2022) using EC systems in agricultural fields in Wisconsin. WISP model ET a bias was linked to underestimation of net longwave radiation (LW net ) that was traced to incorrect specification of effective clear sky atmospheric emissivity ( epsilon a , clr ). Applying a correction to the epsilon a , clr led to reduced WISP model percent bias (pbias) and error for both LW net and ET a . The calibrated model more accurately represented observed ET a . The results indicate that explicit treatment of the LW net balance decreases the uncertainty of model parameters and improves the WISP model performance at independent sites. Applying this improved model parameterization reduced the bias of LW net radiation from 62.8% to -6.2%, which improved the Nash -Sutcliffe Efficiency (NSE) from -0.08 to 0.52 for ET a on training sites. Additionally, overall pbias was significantly reduced ( p = 0.035) for validation sites after WISP correction. Hence, WISP performance improved for different crop types when optimal regional parameters were used, confirming the physical parameters ' reliability. Our results highlight that model development should focus on energy balance parameterizations to improve ET simulation and the accuracy of hydrologic and climatic simulations for understanding critical processes underlying hydrologic and climatic variability and change over land.
英文关键词	Actual evapotranspiration; Eddy Covariance; Longwave radiation; Emissivity; Percentage bias
语种	英语
WOS研究方向	Agriculture ; Forestry ; Meteorology & Atmospheric Sciences
WOS类目	Agronomy ; Forestry ; Meteorology & Atmospheric Sciences
WOS记录号	WOS:001223564600001
来源期刊	AGRICULTURAL AND FOREST METEOROLOGY
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/303869
作者单位	Harvard University; University of Wisconsin System; University of Wisconsin Madison; University of Wisconsin System; University of Wisconsin Madison; University of Wisconsin System; University of Wisconsin Madison; University of Wisconsin System; University of Wisconsin Madison; University of Wisconsin System; University of Wisconsin Madison
推荐引用方式 GB/T 7714	Talib, Ammara,Desai, Ankur R.,Huang, Jingyi,et al. Improving parameterization of an evapotranspiration estimation model with eddy covariance measurements for a regional irrigation scheduling program[J],2024,350.
APA	Talib, Ammara,Desai, Ankur R.,Huang, Jingyi,Thom, Jonathan,Panuska, John C.,&Stoy, Paul. C..(2024).Improving parameterization of an evapotranspiration estimation model with eddy covariance measurements for a regional irrigation scheduling program.AGRICULTURAL AND FOREST METEOROLOGY,350.
MLA	Talib, Ammara,et al."Improving parameterization of an evapotranspiration estimation model with eddy covariance measurements for a regional irrigation scheduling program".AGRICULTURAL AND FOREST METEOROLOGY 350(2024).