Mon Oct 13, F. Flechtner
• Sorted by Date • Sorted by Last Name of First Author •
He, Xinlei, Xu, Tongren, Xia, Youlong, Bateni, Sayed M., Guo, Zhixia, Liu, Shaomin, Mao, Kebiao, Zhang, Yuan, Feng, Huaize, and Zhao, Jingxue, 2020. A Bayesian Three-Cornered Hat (BTCH) Method: Improving the Terrestrial Evapotranspiration Estimation. Remote Sensing, 12(5):878, doi:10.3390/rs12050878.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2020RemS...12..878H,
author = {{He}, Xinlei and {Xu}, Tongren and {Xia}, Youlong and {Bateni}, Sayed M. and {Guo}, Zhixia and {Liu}, Shaomin and {Mao}, Kebiao and {Zhang}, Yuan and {Feng}, Huaize and {Zhao}, Jingxue},
title = "{A Bayesian Three-Cornered Hat (BTCH) Method: Improving the Terrestrial Evapotranspiration Estimation}",
journal = {Remote Sensing},
keywords = {evapotranspiration, Bayesian-based three-cornered hat method, total water storage anomaly},
year = 2020,
month = mar,
volume = {12},
number = {5},
eid = {878},
pages = {878},
abstract = "{In this study, a Bayesian-based three-cornered hat (BTCH) method is
developed to improve the estimation of terrestrial
evapotranspiration (ET) by integrating multisource ET products
without using any a priori knowledge. Ten long-term (30 years)
gridded ET datasets from statistical or empirical, remotely-
sensed, and land surface models over contiguous United States
(CONUS) are integrated by the BTCH and ensemble mean (EM)
methods. ET observations from eddy covariance towers (ET$_{EC}$)
at AmeriFlux sites and ET values from the water balance method
(ET$_{WB}$) are used to evaluate the BTCH- and EM-integrated ET
estimates. Results indicate that BTCH performs better than EM
and all the individual parent products. Moreover, the trend of
BTCH-integrated ET estimates, and their influential factors
(e.g., air temperature, normalized differential vegetation
index, and precipitation) from 1982 to 2011 are analyzed by the
Mann-Kendall method. Finally, the 30-year (1982 to 2011) total
water storage anomaly (TWSA) in the Mississippi River Basin
(MRB) is retrieved based on the BTCH-integrated ET estimates.
The TWSA retrievals in this study agree well with those from the
Gravity Recovery and Climate Experiment (GRACE).}",
doi = {10.3390/rs12050878},
adsurl = {https://ui.adsabs.harvard.edu/abs/2020RemS...12..878H},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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