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Lu, S. (author), Heemink, A.W. (author), Lin, H.X. (author), Segers, Arjo (author), Fu, G. (author)
Remote sensing, as a powerful tool for monitoring atmospheric phenomena, has been playing an increasingly important role in inverse modeling. Remote sensing instruments measure quantities that often combine several state variables as one. This creates very strong correlations between the state variables that share the same observation variable....
journal article 2017
Lu, Y. (author), Dong, Jianzhi (author), Steele-Dunne, S.C. (author)
The spatial heterogeneity and temporal variation of soil moisture and surface heat fluxes are key to many geophysical and environmental studies. It has been demonstrated that they can be mapped by assimilating soil thermal and wetness information into surface energy balance models. The aim of this work is to determine whether enhancing the...
journal article 2019