Bayesian conditioning of a rainfall-runoff model for predicting flows in ungauged catchments and under land use changes
Article first published online: 2 FEB 2011
Copyright 2011 by the American Geophysical Union.
Water Resources Research
Volume 47, Issue 2, February 2011
How to Cite
2011), Bayesian conditioning of a rainfall-runoff model for predicting flows in ungauged catchments and under land use changes, Water Resour. Res., 47, W02503, doi:10.1029/2010WR009240., , and (
- Issue published online: 2 FEB 2011
- Article first published online: 2 FEB 2011
- Manuscript Accepted: 18 NOV 2010
- Manuscript Revised: 5 NOV 2010
- Manuscript Received: 25 FEB 2010
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|wrcr12674-sup-0001-readme.txt||plain text document||1K||readme.txt|
|wrcr12674-sup-0002-ts1.txt||plain text document||1K||Table S1. Expected values of BFI*HOST and standard deviations sHOST for each HOST class, and proposed corresponding USDA class.|
|wrcr12674-sup-0003-ts2.txt||plain text document||1K||Table S2. Hydrologic soil group descriptions [USDA, 1986].|
|wrcr12674-sup-0004-ts3.txt||plain text document||1K||Table S3. Selected values of CN*USDA [USDA, 1986].|
|wrcr12674-sup-0005-ts4.txt||plain text document||0K||Table S4. NS sensitivity to standard deviations in the CN likelihood.|
|wrcr12674-sup-0006-fs1.tif||TIFF image||500K||Figure S1. Draws from the PDM model- specific joint distribution of BFI and CN values|
|wrcr12674-sup-0007-t01.txt||plain text document||0K||Tab-delimited Table 1.|
|wrcr12674-sup-0008-t02.txt||plain text document||1K||Tab-delimited Table 2.|
|wrcr12674-sup-0009-t03.txt||plain text document||0K||Tab-delimited Table 3.|
|wrcr12674-sup-0010-t04.txt||plain text document||1K||Tab-delimited Table 4.|
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