Computationally inexpensive identification of noninformative model parameters by sequential screening

Water Resources Research

Volumn 51, Issue 8, 2015, Pages 6417-6441

  Cuntz, Matthias ^a   Mai, Juliane ^a   Zink, Matthias ^a   Thober, Stephan ^a   Kumar, Rohini ^a   Schäfer, David ^a   Schrön, Martin ^a   Craven, John ^a,b   Rakovec, Oldrich ^a   Spieler, Diana ^a   Prykhodko, Vladyslav ^a   Dalmasso, Giovanni ^a,c   Musuuza, Jude ^a,d   Langenberg, Ben ^a   Attinger, Sabine ^a,e   Samaniego, Luis ^a  

^a HELMHOLTZ CENTRE FOR ENVIRONMENTAL RESEARCH UFZ   (Germany)

^b Now at Hydros Consulting Inc   (United States)

^c GERMAN CANCER RESEARCH CENTER DKFZ   (Germany)

^d UNIVERSITY OF BRISTOL   (United Kingdom)

^e FRIEDRICH SCHILLER UNIVERSITY JENA   (Germany)

Author keywords

catchment hydrology; mHM; model calibration; screening; sensitivity analysis

Indexed keywords

CATCHMENTS; RUNOFF; SCREENING; SENSITIVITY ANALYSIS;

CATCHMENT HYDROLOGY; COMPUTATIONAL DEMANDS; ENVIRONMENTAL MODEL; GLOBAL SENSITIVITY ANALYSIS; HYDROLOGIC MODELING; INFORMATIVE PARAMETERS; MHM; MODEL CALIBRATION;

PARAMETER ESTIMATION;

AUTOMATION; CALIBRATION; CATCHMENT; COMPUTATIONAL FLUID DYNAMICS; FEASIBILITY STUDY; HYDROLOGICAL MODELING; LITERATURE REVIEW; MESOSCALE EDDY; MODEL VALIDATION; PERFORMANCE ASSESSMENT; RIVER SYSTEM; SENSITIVITY ANALYSIS;

EUROPE;

EID: 84941994122     PISSN: 00431397     EISSN: 19447973     Source Type: Journal    
DOI: 10.1002/2015WR016907     Document Type: Article

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