Analysis and classification of data sets for calibration and validation of agro-ecosystem models

Autor: Martin Wegehenkel, Gerrit Hoogenboom, Françoise Ruget, Miroslav Trnka, Kenneth J. Boote, Kurt Christian Kersebaum, Claas Nendel, Jason Jorgenson, C. Frühauf, Peter J. Thorburn, Marco Bindi, Thomas Gaiser, Chris Kollas, Jørgen E. Olesen, Reimund P. Rötter
Přispěvatelé: Leibniz-Zentrum für Agrarlandschaftsforschung = Leibniz Centre for Agricultural Landscape Research (ZALF), Agronomy Department, University of Florida [Gainesville] (UF), School of Agriculture, Policy and Development, University of Reading (UOR), Department of Agrifood Production and Environmental Sciences (DISPAA), Università degli Studi di Firenze = University of Florence [Firenze] (UNIFI), Agrometeorological Research Station of Deutscher Wetterdienst (DVD), Institute of Crop Science and Resource Conservation [Bonn], Rheinische Friedrich-Wilhelms-Universität Bonn, Washington State University (WSU), Department of Agroecology, Aarhus University [Aarhus], Natural Resources Institute Finland (LUKE), Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (EMMAH), Avignon Université (AU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Ecosystem sciences, Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), Mendel University in Brno (MENDELU), The study was financially supported by the related national European ministries contributing to the MACSUR project (2812ERA_147, 196) under FACCE-JPI (031A103B), and it was further an integrated activity under AgMIP (Agricultural Model Intercomparison and Improvement Project) supported by the US Department of Agriculture and the United Kingdom Department for International Development
Jazyk: angličtina
Rok vydání: 2015
Předmět:
Zdroj: Environmental Modelling and Software
Environmental Modelling and Software, Elsevier, 2015, 72, pp.402-417. ⟨10.1016/j.envsoft.2015.05.009⟩
Kersebaum, K C, Boote, K J, Jorgenson, J S, Nendel, C, Bindi, M, Frünhauf, C, Gaiser, T, Hoogenboom, G, Kollas, C, Olesen, J E, Rötter, R, Ruget, F, Thoburn, P, Trnka, M & Wegehenkel, M 2015, ' Analysis and classification of data sets for calibration and validation of agro-ecosystem models ', Environmental Modelling & Software, vol. 72, pp. 402-417 . https://doi.org/10.1016/j.envsoft.2015.05.009
ISSN: 1364-8152
DOI: 10.1016/j.envsoft.2015.05.009⟩
Popis: Experimental field data are used at different levels of complexity to calibrate, validate and improve agro-ecosystem models to enhance their reliability for regional impact assessment. A methodological framework and software are presented to evaluate and classify data sets into four classes regarding their suitability for different modelling purposes. Weighting of inputs and variables for testing was set from the aspect of crop modelling. The software allows users to adjust weights according to their specific requirements. Background information is given for the variables with respect to their relevance for modelling and possible uncertainties. Examples are given for data sets of the different classes. The framework helps to assemble high quality data bases, to select data from data bases according to modellers requirements and gives guidelines to experimentalists for experimental design and decide on the most effective measurements to improve the usefulness of their data for modelling, statistical analysis and data assimilation. A software is presented to classify and label data suitability for modelling.Data requirements for modelling are specific and vary with model purpose.Quantitative classification of data sets facilitates their use for modelling.Test of model and data consistency improves data usability.Guidelines for experimentalist to improve data suitability for modelling.
Databáze: OpenAIRE
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