Quick estimation of parameters for the land surface data assimilation system and its influence based on the extended Kalman filter and automatic differentiation
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences
Link
https://link.springer.com/content/pdf/10.1007/s11430-022-1180-8.pdf
Reference68 articles.
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4. Chan S K, Bindlish R, O’Neill P, Jackson T, Njoku E, Dunbar S, Chaubell J, Piepmeier J, Yueh S, Entekhabi D, Colliander A, Chen F, Cosh M H, Caldwell T, Walker J, Berg A, McNairn H, Thibeault M, Martínez-Fernández J, Uldall F, Seyfried M, Bosch D, Starks P, Holifield Collins C, Prueger J, van der Velde R, Asanuma J, Palecki M, Small E E, Zreda M, Calvet J, Crow W T, Kerr Y. 2018. Development and assessment of the SMAP enhanced passive soil moisture product. Remote Sens Environ, 204: 931–941
5. Chen F, Crow W T, Bindlish R, Colliander A, Burgin M S, Asanuma J, Aida K. 2018. Global-scale evaluation of SMAP, SMOS and ASCAT soil moisture products using triple collocation. Remote Sens Environ, 214: 1–13
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