The chaos in calibrating crop models
作者： Daniel Wallach , Taru Palosuo , Peter Thorburn , Zvi Hochman , Emmanuelle Gourdain
DOI: 10.1101/2020.09.12.294744
关键词: Calibration 、 Estimation theory 、 Experimental data 、 Estimation 、 CHAOS (operating system) 、 Structure (mathematical logic) 、 Range (statistics) 、 Process modeling 、 Mathematical optimization 、 Computer science
摘要: Calibration, that is the estimation of model parameters based on fitting to experimental data, among first steps in essentially every application crop models and process other fields has an important impact simulated values. The goal this study develop a comprehensive list decisions involved calibration identify range choices made practice, as groundwork for developing guidelines starting with phenology. Three groups are identified; criterion choosing parameter values, choice estimate numerical aspects estimation. It found practice there large diversity decision, even modeling using same structure. These findings relevant fields.
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