Parameter conditioning with a noisy Monte Carlo genetic algorithm for estimating effective soil hydraulic properties from space
Author:
Affiliation:
1. Department of Biological and Agricultural Engineering; Texas A&M University; College Station Texas USA
Publisher
American Geophysical Union (AGU)
Subject
Water Science and Technology
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1029/2007WR006125/fullpdf
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3. A Markov chain Monte Carlo scheme for parameter estimation and influence in conceptual rainfall-runoff modeling;Bates;Water Resour. Res.,2001
4. A scaling based estimation of soil unsaturated hydraulic properties at a field scale;Bertuzzi;Irrig. Sci.,1996
5. The future of distributed models: Model calibration and uncertainty predictions;Beven;Hydrol. Processes,1992
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