Process consistency in models: The importance of system signatures, expert knowledge, and process complexity

Water Resources Research

Volumn 50, Issue 9, 2014, Pages 7445-7469

  Hrachowitz, M ^a   Fovet, O ^b,c   Ruiz, L ^b,c   Euser, T ^a   Gharari, S ^a   Nijzink, R ^a   Freer, J ^d   Savenije, H H G ^a,e   Gascuel Odoux, C ^b,c  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

^b UMR SAS   (France)

^c AGROCAMPUS OUEST   (France)

^d UNIVERSITY OF BRISTOL   (United Kingdom)

^e UNESCO IHE INSTITUTE FOR WATER EDUCATION   (Netherlands)

Author keywords

Complex models with prior constraints are consistent and robust; Expert knowledge based prior information has strong constraining power; Uncalibrated but constrained complex models outperform standard models

Indexed keywords

WATER RESOURCES;

COMPLEX MODEL; HYDROLOGICAL MODELS; MULTIPLE CALIBRATION; OBJECTIVE FUNCTIONS; PREDICTIVE PERFORMANCE; PRIOR INFORMATION; PROCESS CONSISTENCY; SYSTEM REPRESENTATION; CONCEPTUAL MODEL; CONSTRAINING MODELS; EXPERT KNOWLEDGE; HYDROLOGICAL SIGNATURES; MODEL CONSTRAINTS;

KNOWLEDGE BASED SYSTEMS; WATER RESOURCES;

CALIBRATION; HYDROGRAPH; HYDROLOGICAL MODELING; KNOWLEDGE; NUMERICAL MODEL; PERCEPTION; CONCEPTUAL FRAMEWORK; PERFORMANCE ASSESSMENT; PREDICTION;

EID: 84915745329     PISSN: 00431397     EISSN: 19447973     Source Type: Journal    
DOI: 10.1002/2014WR015484     Document Type: Article

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