中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A physical full-factorial scheme for gap-filling of eddy covariance measurements of daytime evapotranspiration

文献类型:期刊论文

作者Jiang, Yazhen1,2; Tang, Ronglin1,2; Li, Zhao-Liang1,2,3,4
刊名AGRICULTURAL AND FOREST METEOROLOGY
出版日期2022-08-15
卷号323页码:16
ISSN号0168-1923
关键词Eddy covariance system Evapotranspiration Full-factorial scheme Gap-filling
DOI10.1016/j.agrformet.2022.109087
通讯作者Tang, Ronglin(tangrl@lreis.ac.cn)
英文摘要Surface evapotranspiration (ET) is a vital process that connects the water cycle, energy budget, and carbon cycle between the land and atmosphere. ET measurements using the eddy covariance (EC) technique typically encounter large gaps. In this study, a physics-based full-factorial scheme for filling gaps in ET from EC observations is proposed based on the decoupling model of the Penman-Monteith equation, which mechanically interconnects the full range of ET influential factors from the atmosphere, vegetation, and soil. The new method was tested and intercompared with four typical gap-filling methods, i.e., marginal distribution sampling, mean diurnal variation, constant reference evaporative fraction, and constant evaporative fraction, using the data collected at 136 sites from AmeriFlux, FLUXNET, and Tibetan Plateau Data Center over the crop, grass, forest, and other remaining land-cover types. The validation results showed that (1) the full-factorial scheme performed well for filling the artificially randomly generated hourly and daily gaps of the EC-based ET measurements, with a root mean square error (RMSE) of 28.8-96.1 W/m(2) for the hourly gaps and an RMSE of 19.9-38.7 W/m(2) for the daily gaps, (2) for filling the hourly gaps, the accuracy decreased with the increase in the gap length; for filling the daily gaps, the accuracy decreased with the increase in the gap length at first and then remained almost unchanged, (3) the full-factorial scheme outperformed the four typical methods for filling both the hourly and daily gaps, and (4) all five gap-filling methods presented the best performance at the grass sites, followed by the crop, and the worst performance at the forest sites. In conclusion, the proposed full-factorial scheme can produce reasonable gap-filled hourly and daily ET and is superior to the existing typical gap-filling methods. Therefore, it could be a good candidate for filling the ET gaps in EC measurements.
WOS关键词NET ECOSYSTEM EXCHANGE ; WATER-BUDGET ; HEAT-FLUX ; FOREST ; PHOTOSYNTHESIS ; RESPIRATION ; ALGORITHMS ; STRATEGIES ; VAPOR ; SOIL
资助项目National Natural Science Foundation of China[42001306] ; National Natural Science Foundation of China[41922009] ; National Natural Science Foundation of China[42071332] ; National Key R & D Program of China[2018YFA0605401] ; National Key R & D Program of China
WOS研究方向Agriculture ; Forestry ; Meteorology & Atmospheric Sciences
语种英语
出版者ELSEVIER
WOS记录号WOS:000831072000003
资助机构National Natural Science Foundation of China ; National Key R & D Program of China ; National Key R & D Program of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/181128]  
专题中国科学院地理科学与资源研究所
通讯作者Tang, Ronglin
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Chinese Acad Agr Sci, Key Lab Agriinformat, Minist Agr, Beijing 100081, Peoples R China
4.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Beijing 100081, Peoples R China
推荐引用方式
GB/T 7714
Jiang, Yazhen,Tang, Ronglin,Li, Zhao-Liang. A physical full-factorial scheme for gap-filling of eddy covariance measurements of daytime evapotranspiration[J]. AGRICULTURAL AND FOREST METEOROLOGY,2022,323:16.
APA Jiang, Yazhen,Tang, Ronglin,&Li, Zhao-Liang.(2022).A physical full-factorial scheme for gap-filling of eddy covariance measurements of daytime evapotranspiration.AGRICULTURAL AND FOREST METEOROLOGY,323,16.
MLA Jiang, Yazhen,et al."A physical full-factorial scheme for gap-filling of eddy covariance measurements of daytime evapotranspiration".AGRICULTURAL AND FOREST METEOROLOGY 323(2022):16.

入库方式: OAI收割

来源:地理科学与资源研究所

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