Model performance, model robustness, and model fitness scores: A new method for identifying good land-surface models

Geophysical Research Letters

Volumn 35, Issue 11, 2008, Pages

  Gulden, Lindsey E ^a   Rosero, Enrique ^a   Yang, Zong Liang ^a   Wagener, Thorsten ^b   Niu, Guo Yue ^a  

^a UNIVERSITY OF TEXAS AT AUSTIN   (United States)

^b The Pennsylvania State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CHLORINE COMPOUNDS; KINETIC ENERGY; SURFACE CHEMISTRY; SURFACE TENSION;

BROAD APPLICATION; HYPOTHESIS TESTING; MODEL DEVELOPMENT; MODEL PERFORMANCE; MODEL-ROBUSTNESS; RANKING MODELS; RIGOROUS EVALUATION; SOURCES OF UNCERTAINTY; SUBSURFACE WATERS; SURFACE ENERGIES; SURFACE MODELING; TIME-VARYING;

SURFACE TESTING;

ERROR ANALYSIS; HYPOTHESIS TESTING; LAND SURFACE; MODELING; PARAMETERIZATION; PERFORMANCE ASSESSMENT; PREDICTION; SENSITIVITY ANALYSIS;

EID: 49849091344     PISSN: 00948276     EISSN: None     Source Type: Journal    
DOI: 10.1029/2008GL033721     Document Type: Article

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