On typical range, sensitivity, and normalization of Mean Squared Error and Nash-Sutcliffe Efficiency type metrics
Author:
Affiliation:
1. Department of Hydrology and Water Resources; University of Arizona; Tucson Arizona USA
2. Pöyry Energy GmbH; Vienna Austria
Publisher
American Geophysical Union (AGU)
Subject
Water Science and Technology
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1029/2011WR010962/fullpdf
Reference6 articles.
1. Series distance-an intuitive metric to quantify hydrograph similarity in terms of occurrence, amplitude and timing of hydrological events;Ehret;Hydrol. Earth Syst. Sci.,2011
2. Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modeling;Gupta;J. Hydrol.,2009
3. On the use of spatial regularization strategies to improve calibration of distributed watershed models;Pokhrel;Water Resour. Res.,2010
4. Rosolem , R. H. V. Gupta W. J. Shuttleworth L. G. G. de Goncalves X. Zeng 2011 Assessing calibrated performance of the SiB3 land surface model for a variety of biome types in the Amazon basin Agric. Forest Meteorol.
5. Do Nash values have value?;Schaefli;Hydrol. Processes,2007
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