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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