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Assessment of Different Complementary-Relationship-Based Models for Estimating Actual Terrestrial Evapotranspiration in the Frozen Ground Regions of the Qinghai-Tibet Plateau

文献类型：期刊论文

作者Shang, Chengpeng1,2; Wu, Tonghua1,3; Ma, Ning4; Wang, Jiemin1; Li, Xiangfei1; Zhu, Xiaofan1; Wang, Tianye5; Hu, Guojie1; Li, Ren1; Yang, Sizhong1
刊名REMOTE SENSING
出版日期2022-05-01
卷号14期号:9页码:25
关键词actual evapotranspiration complementary relationship permafrost seasonally frozen ground Qinghai-Tibet Plateau
DOI10.3390/rs14092047
通讯作者Wu, Tonghua(thuawu@lzb.ac.cn)
英文摘要Actual evapotranspiration (ETa) is important since it is an important link to water, energy, and carbon cycles. Approximately 96% of the Qinghai-Tibet Plateau (QTP) is underlain by frozen ground, however, the ground observations of ETa are particularly sparse-which is especially true in the permafrost regions-leading to great challenge for the accurate estimation of ETa. Due to the impacts of freeze-thaw cycles and permafrost degradation on the regional ET process, it is therefore urgent and important to find a reasonable approach for ETa estimation in the regions. The complementary relationship (CR) approach is a potential method since it needs only routine meteorological variables to estimate ETa. The CR approach, including the modified advection-aridity model by Kahler (K2006), polynomial generalized complementary function by Brutsaert (B2015) and its improved versions by Szilagyi (S2017) and Crago (C2018), and sigmoid generalized complementary function by Han (H2018) in the present study, were assessed against in situ measured ETa at four observation sites in the frozen ground regions. The results indicate that five CR-based models are generally capable of simulating variations in ETa, whether default and calibrated parameter values are employed during the warm season compared with those of the cold season. On a daily basis, the C2018 model performed better than other CR-based models, as indicated by the highest Nash-Sutcliffe efficiency (NSE) and lowest root mean square error (RMSE) values at each site. On a monthly basis, no model uniformly performed best in a specific month. On an annual basis, CR-based models estimating ETa with biases ranging from -94.2 to 28.3 mm year(-1), and the H2018 model overall performed best with the smallest bias within 15 mm year(-1). Parameter sensitivity analysis demonstrated the relatively small influence of each parameter varying within regular fluctuation magnitude on the accuracy of the corresponding model.
WOS关键词ORIGINAL LINEAR RELATIONSHIP ; SURFACE-ENERGY BUDGET ; PHYSICAL CONSTRAINTS ; PERMAFROST REGION ; EVAPORATION ; LAND ; WATER ; PRINCIPLE ; FLUX ; TEMPERATURE
资助项目National Natural Science Foundations of China[41771076] ; National Natural Science Foundations of China[41690142] ; National Natural Science Foundations of China[42001071] ; West Light Foundation of Chinese Academy of Sciences ; Hundred Talents program of Chinese Academy of Sciences ; Open Research Fund Program of State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences[SKLCSOP-2020-11]
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
出版者MDPI
WOS记录号WOS:000794491900001
资助机构National Natural Science Foundations of China ; West Light Foundation of Chinese Academy of Sciences ; Hundred Talents program of Chinese Academy of Sciences ; Open Research Fund Program of State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences
源URL[http://ir.igsnrr.ac.cn/handle/311030/176735]  
专题中国科学院地理科学与资源研究所
通讯作者Wu, Tonghua
作者单位1.Northwest Inst Eco Environm & Resources, Chinese Acad Sci, State Key Lab Cryospher Sci, Cryosphere Res Stn Qinghai Tibet Plateau, Lanzhou 730000, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Southern Marine Sci & Engn Guangdong Lab, Guangzhou 511458, Peoples R China
4.Inst Geog Sci & Nat Resources Res, Chinese Acad Sci, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
5.Zhengzhou Univ, Sch Water Conservancy Engn, Zhengzhou 450001, Peoples R China
6.Hebei Normal Univ, Sch Geog Sci, Shijiazhuang 050024, Hebei, Peoples R China
推荐引用方式
GB/T 7714		 Shang, Chengpeng,Wu, Tonghua,Ma, Ning,et al. Assessment of Different Complementary-Relationship-Based Models for Estimating Actual Terrestrial Evapotranspiration in the Frozen Ground Regions of the Qinghai-Tibet Plateau[J]. REMOTE SENSING,2022,14(9):25.
APA Shang, Chengpeng.,Wu, Tonghua.,Ma, Ning.,Wang, Jiemin.,Li, Xiangfei.,...&Yang, Cheng.(2022).Assessment of Different Complementary-Relationship-Based Models for Estimating Actual Terrestrial Evapotranspiration in the Frozen Ground Regions of the Qinghai-Tibet Plateau.REMOTE SENSING,14(9),25.
MLA Shang, Chengpeng,et al."Assessment of Different Complementary-Relationship-Based Models for Estimating Actual Terrestrial Evapotranspiration in the Frozen Ground Regions of the Qinghai-Tibet Plateau".REMOTE SENSING 14.9(2022):25.

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来源：地理科学与资源研究所

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