土壤-作物模型校准协议

IF 4.8 2区 环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
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引用次数: 0

摘要

基于过程的土壤-作物模型被广泛应用于农艺学研究。它们是评估气候变化对作物生产影响的主要工具。多模型模拟研究表明,不同模型的结果差异很大,这意味着模拟结果具有很大的不确定性。改进模拟结果的一个主要途径是提出可广泛应用的改进校准方法。本研究提出了一种创新的通用校准协议。两个主要创新点涉及多个输出变量的处理和参数估计的选择,这两个方面都是基于标准统计程序,并根据土壤-作物模型的特殊性进行了调整。该方案在一次具有挑战性的人工数据测试中表现良好。该规程适用于各种模型和数据集。如果被广泛采用,它可以大大减少模型误差和模型间的变异性,从而提高对土壤-作物模型模拟的信心。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A calibration protocol for soil-crop models

Process-based soil-crop models are widely used in agronomic research. They are major tools for evaluating climate change impact on crop production. Multi-model simulation studies show a wide diversity of results among models, implying that simulation results are very uncertain. A major path to improving simulation results is to propose improved calibration practices that are widely applicable. This study proposes an innovative generic calibration protocol. The two major innovations concern the treatment of multiple output variables and the choice of parameters to estimate, both of which are based on standard statistical procedure adapted to the particularities of soil-crop models. The protocol performed well in a challenging artificial-data test. The protocol is formulated so as to be applicable to a wide range of models and data sets. If widely adopted, it could substantially reduce model error and inter-model variability, and thus increase confidence in soil-crop model simulations.

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来源期刊
Environmental Modelling & Software
Environmental Modelling & Software 工程技术-工程:环境
CiteScore
9.30
自引率
8.20%
发文量
241
审稿时长
60 days
期刊介绍: Environmental Modelling & Software publishes contributions, in the form of research articles, reviews and short communications, on recent advances in environmental modelling and/or software. The aim is to improve our capacity to represent, understand, predict or manage the behaviour of environmental systems at all practical scales, and to communicate those improvements to a wide scientific and professional audience.
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