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Development of a 60-year high-resolution water body evaporation dataset in China

文献类型：期刊论文

作者Bai, Peng; Guo, Xiaojun2
刊名AGRICULTURAL AND FOREST METEOROLOGY
出版日期2023-05-01
卷号334页码:109428
关键词Evaporation loss Penman model Lake evaporation Open water evaporation
ISSN号0168-1923
DOI10.1016/j.agrformet.2023.109428
文献子类Article
英文摘要Evaporation from water bodies (E-w) is a critical component of the global water cycle. However, existing evaporation products that include E-w often suffer from drawbacks such as coarse resolution, short time span, and high uncertainty. This study developed a 60-year (1960-2019) high-resolution (0.05 degrees x0.05 degrees) evaporation dataset for small shallow water bodies in China based on the Penman model. Two key factors affecting the accuracy of the Penman model were considered: the uncertainty of the empirical wind function and changes in heat storage in the water body. Specifically, we used large-size (20 or 100 m(2)) pan evaporation (E-pan) observations from 21 sites as a benchmark to correct the wind function of the Penman model. A data-driven model was then developed to map the spatial distribution of the wind function coefficients across China. The corrected wind function significantly improved the accuracy of E-pan estimates compared to the original wind function, with the Kling-Gupta efficiency (KGE) increased by 0.05 similar to 0.10. To model the effect of heat storage changes on evaporation, an equilibrium temperature method was used. We also introduced an area-dependent scaling factor into the wind function to account for the effect of water body's size on E-w estimation. The reliability of the E-w algorithm was tested on two lakes using eddy-covariance flux observations, and simulations showed good agreement with observations. The E-pan (20 m(2) pan) dataset and its two components calculated from the radiative and aerodynamic terms of the Penman model can be accessed at https://osf.io/qd28m/. Users can utilize the two E-pan components and the area-dependent scaling factor to estimate evaporation for water bodies of varying sizes. However, caution is needed when applying this dataset to deep water bodies, as it is designed for shallow water bodies.
WOS关键词POTENTIAL EVAPOTRANSPIRATION ; ENERGY-BALANCE ; SMALL LAKE ; FLUX ; PERFORMANCE ; RESERVOIR ; COEFFICIENT ; TEMPERATURE ; SENSITIVITY ; EQUATIONS
WOS研究方向Agriculture ; Forestry ; Meteorology & Atmospheric Sciences
WOS记录号WOS:000968810400001
出版者ELSEVIER
源URL[http://ir.igsnrr.ac.cn/handle/311030/190460]  
专题陆地水循环及地表过程院重点实验室_外文论文
作者单位1.Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Surface Proc, Chengdu 610041, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714		 Bai, Peng,Guo, Xiaojun. Development of a 60-year high-resolution water body evaporation dataset in China[J]. AGRICULTURAL AND FOREST METEOROLOGY,2023,334:109428.
APA Bai, Peng,&Guo, Xiaojun.(2023).Development of a 60-year high-resolution water body evaporation dataset in China.AGRICULTURAL AND FOREST METEOROLOGY,334,109428.
MLA Bai, Peng,et al."Development of a 60-year high-resolution water body evaporation dataset in China".AGRICULTURAL AND FOREST METEOROLOGY 334(2023):109428.

入库方式： OAI收割

来源：地理科学与资源研究所

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