Title: Sensitivity analysis of the rice model WARM in Europe: exploring the effects of different locations, climates and methods of analysis on model sensitivity to crop parameters
Authors: CONFALONIERI ROBERTOBELLOCCHI GIANNITARANTOLA STEFANOACUTIS MarcoDONATELLI MarcelloGENOVESE Giampiero
Citation: ENVIRONMENTAL MODELLING & SOFTWARE vol. 25 no. 4 p. 479-488
Publisher: ELSEVIER SCI LTD
Publication Year: 2010
JRC Publication N°: JRC46272
ISSN: 1364-8152
URI: http://www.elsevier.com/locate/envsoft
http://publications.jrc.ec.europa.eu/repository/handle/JRC46272
DOI: 10.1016/j.envsoft.2009.10.005
Type: Articles in Journals
Abstract: An application of Morris and Sobol' sensitivity analysis methods to the rice model WARM is presented to assess model sensitivity to its parameters. The output considered is aboveground biomass at maturity, simulated at five European rice districts (France, Greece, Italy, Portugal, Spain) for years characterized by low, intermediate, and high continentality. The total-effect index of Sobol' and Morris indices (mean µ and standard deviation of the ratios output changes/parameter variations) were used as sensitivity measures. Radiation use efficiency (RUE), optimum temperature (Topt), and leaf area index at emergence (LAIini) were generally ranked as first, second and third most relevant parameters. Exceptions were observed, depending on the sensitivity method (e.g. LAIini resulted not relevant by the Morris method), or site-continentality pattern (e.g. with intermediate continentality in Spain, LAIini and Topt were second and third ranked; with low continentality in Portugal, RUE was outranked by Topt). Low s values associated with the most relevant parameters indicated limited parameter interactions. The importance of sensitivity analyses by exploring location × climate combinations is discussed as pre-requisite to evaluate either novel crop modelling approaches or the application of known modelling solutions to conditions not explored previously. The need of developing tools for sensitivity analysis within the modelling environment is also emphasized.
JRC Institute:Institute for Environment and Sustainability

Files in This Item:
There are no files associated with this item.


Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.