PeterRochford / SkillMetrics

A Python library for calculating and displaying the skill of model predictions against observations.
GNU General Public License v3.0
201 stars 92 forks source link

FEAT: Add Kling-Gupta Efficiency (KGE) from both 2009 and 2012 papers. #11

Closed timcera closed 2 years ago

timcera commented 5 years ago

Two versions of KGE are presented in:

Gupta, Hoshin V., Harald Kling, Koray K. Yilmaz, Guillermo F. Martinez. Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling. Journal of Hydrology, Volume 377, Issues 1-2, 20 October 2009, Pages 80-91. DOI: 10.1016/j.jhydrol.2009.08.003. ISSN 0022-1694

Kling, H., M. Fuchs, and M. Paulin (2012), Runoff conditions in the upper Danube basin under an ensemble of climate change scenarios. Journal of Hydrology, Volumes 424-425, 6 March 2012, Pages 264-277, DOI:10.1016/j.jhydrol.2012.01.011