Based on former studies on weather simulator modules in IPMist laboratory, study on visual programming of stochastic weather generator(VS-WGEN)was continued. In this study, Markov Chain, Monte Carlo, Fourier Series, a...Based on former studies on weather simulator modules in IPMist laboratory, study on visual programming of stochastic weather generator(VS-WGEN)was continued. In this study, Markov Chain, Monte Carlo, Fourier Series, and weak stationary process were used to generate the daily weather data in software Matlab 6. 0, with the data input from 40 years' weather data recorded by Beijing Weather Station. The generated data includes daily maximum temperature, minimum temperature, precipitation and solar radiation. It has been verified that the weather data generated by the VS-WGEN were more accurate than that by the old WGEN, when twenty new model parameters were included. VS-WGEN has wide software applications, such as pest risk analysis, pest forecast and management. It can be implemented in hardware development as well, such as weather control in weather chamber and greenhouse for researches on ecological adaptation of crop varieties to a given location over time and space. Overall, VS-WGEN is a very useful tool for studies on theoretical and applied ecology.展开更多
为评估从数值预报、客观方法到主观预报产品各环节对天气预报准确率的贡献,研发了天气预报全流程检验评估程序库(Meteorological Evaluation Program Library,简称为MetEva)。MetEva以检验算法的全流程覆盖和检验结果的可对比性为目标,...为评估从数值预报、客观方法到主观预报产品各环节对天气预报准确率的贡献,研发了天气预报全流程检验评估程序库(Meteorological Evaluation Program Library,简称为MetEva)。MetEva以检验算法的全流程覆盖和检验结果的可对比性为目标,采用包含基础层和功能层的分层架构,基于统一的数据结构,设计了模块化的检验计算流程。围绕数据读取、数据合并与匹配、样本选取、样本分组、检验计算和结果输出等6个主要步骤,MetEva提供了6类400项功能函数。MetEva集成了5类54种检验算法,涵盖了大部分世界气象组织推荐和国内业务规范要求的检验算法,并对其计算流程进行改进,同时采用矩阵计算方式和并行算法来提升检验程序的计算效率。以温度和降水预报的检验评估为例,简要说明了MetEva的功能和使用方法,展示了MetEva在精细化检验评估方面的应用价值。该程序库已开源发布,可有效支撑全国各级气象部门开展天气预报全流程检验评估工作。展开更多
基金supported jointly by the grant of Project“973”:Fundamental Studies on Invasion and Control of Extra Pest(2002CB111400)the grant of Key Project of Ministry of Science and Technology of China:Development of New Technologies for Pest Forecasting(2001BA50PB01).
文摘Based on former studies on weather simulator modules in IPMist laboratory, study on visual programming of stochastic weather generator(VS-WGEN)was continued. In this study, Markov Chain, Monte Carlo, Fourier Series, and weak stationary process were used to generate the daily weather data in software Matlab 6. 0, with the data input from 40 years' weather data recorded by Beijing Weather Station. The generated data includes daily maximum temperature, minimum temperature, precipitation and solar radiation. It has been verified that the weather data generated by the VS-WGEN were more accurate than that by the old WGEN, when twenty new model parameters were included. VS-WGEN has wide software applications, such as pest risk analysis, pest forecast and management. It can be implemented in hardware development as well, such as weather control in weather chamber and greenhouse for researches on ecological adaptation of crop varieties to a given location over time and space. Overall, VS-WGEN is a very useful tool for studies on theoretical and applied ecology.
文摘为评估从数值预报、客观方法到主观预报产品各环节对天气预报准确率的贡献,研发了天气预报全流程检验评估程序库(Meteorological Evaluation Program Library,简称为MetEva)。MetEva以检验算法的全流程覆盖和检验结果的可对比性为目标,采用包含基础层和功能层的分层架构,基于统一的数据结构,设计了模块化的检验计算流程。围绕数据读取、数据合并与匹配、样本选取、样本分组、检验计算和结果输出等6个主要步骤,MetEva提供了6类400项功能函数。MetEva集成了5类54种检验算法,涵盖了大部分世界气象组织推荐和国内业务规范要求的检验算法,并对其计算流程进行改进,同时采用矩阵计算方式和并行算法来提升检验程序的计算效率。以温度和降水预报的检验评估为例,简要说明了MetEva的功能和使用方法,展示了MetEva在精细化检验评估方面的应用价值。该程序库已开源发布,可有效支撑全国各级气象部门开展天气预报全流程检验评估工作。
