摘要
WOFOST模型是利用计算机技术对不同生产水平下一年生作物的生长发育和产量形成进行定量分析的模拟模型,学者在WOFOST模型以及模型应用方面做了大量研究,总结WOFOST模型在我国的应用研究成果,可为保障粮食安全和农业的可持续发展提供技术支撑。本文采用分类归纳法,简要阐述了WOFOST模型在我国的应用研究历程及进展,应用研究主要涉及对WOFOST模型参数的敏感性分析、模型的适用性分析、模型的改进以及对模型的应用等4个方面。针对模型应用中存在的薄弱环节及发展所需,加强对模型参数的敏感性分析、加强对模型的本地化应用或改进、加强对模型参数的升尺度研究、加强模型与多学科多技术融合4个方面将是今后WOFOST模型的研究重点。
WOFOST(World Food Studies)is a simulation model for the quantitative analysis of the growth and production of annual field crops under different production levels by using computer technology.Since its birth,a lot of research has been done on WOFOST model or its utilization at home and abroad.Summarizing the application research results of WOFOST model in China can provide technical support for ensuring food security and sustainable development of agriculture.By using the method of classification and induction,the research history and progress of WOFOST model application in China were briefly described.The application research mainly involves four aspects:sensitivity analysis of WOFOST model parameters,applicability analysis of model,improvement of model and application of model.In view of the weaknesses in the application of the model and the development needs,it is proposed that the focus of WOFOST model research in the future will be to strengthen the sensitivity analysis of model parameters,strengthen the local application or improvement of the model,strengthen the scaling research of model parameters,and strengthen the integration of the model and multi disciplines and multi technologies.
作者
魏瑞江
郑昌玲
王鑫
申双和
WEI Ruijiang;ZHENG Changling;WANG Xin;SHEN Shuanghe(Hebei Laboratory for Meteorological and Eco-environment,Shijiazhuang 050021,China;China Meteorological Administration Xiong an Atmospheric Boundary Layer Key Laboratory,Hebei Xiong an 071800,China;Meteorological Science Institute of Hebei Province,Shijiazhuang 050021,China;National Meteorological Center,Beijing 100081,China;Nanjing University of Information Science&Technology,Nanjing 210044,China)
出处
《气象科学》
北大核心
2023年第3期402-411,共10页
Journal of the Meteorological Sciences
基金
中国气象局创新发展专项(CXFZ2021J065)。
