Understanding the DayCent model: Calibration, sensitivity, and identifiability through inverse modeling

Environmental Modelling and Software

Volumn 66, Issue , 2015, Pages 110-130

  Necpálová, Magdalena ^a   Anex, Robert P ^a   Fienen, Michael N ^b   Del Grosso, Stephen J ^c   Castellano, Michael J ^d   Sawyer, John E ^d   Iqbal, Javed ^d   Pantoja, José L ^d   Barker, Daniel W ^d  

^a UNIVERSITY OF WISCONSIN MADISON   (United States)

^b WISCONSIN WATER SCIENCE CENTER   (United States)

^c Veterinary Dentistry and Oral Surgery   (United States)

^d IOWA STATE UNIVERSITY   (United States)

Author keywords

DayCent model; Inverse modeling; Parameter correlations; Parameter identifiability; PEST; Sensitivity analysis

Indexed keywords

BIOGEOCHEMISTRY; CALIBRATION; ECOSYSTEMS; INVERSE PROBLEMS; PARAMETER ESTIMATION; SENSITIVITY ANALYSIS; SOIL MOISTURE;

DAYCENT; INVERSE MODELING; PARAMETER CORRELATION; PARAMETER IDENTIFIABILITY; PEST;

PREDICTIVE ANALYTICS;

BIOGEOCHEMISTRY; CALIBRATION; CROP PRODUCTION; ENVIRONMENTAL MODELING; INVERSE ANALYSIS; PARAMETERIZATION; SENSITIVITY ANALYSIS; SOFTWARE;

EID: 84921442062     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.envsoft.2014.12.011     Document Type: Article

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