摘要
为了避免站点插值误差,实现高精度、空间分布的CLDAS同化数据在气候适宜度指标区域化中的方便高效应用,本研究利用GIS建模工具,基于内蒙古玉米日尺度动态适宜度计算方法,构造日尺度玉米温度适宜度自动化计算模型,实现了CLDAS小时数据提取、日平均气温计算、"三基点"温度计算、适宜度指标分段函数构建、误差分析等五方面功能。以2016年5月25日CLDAS融合气温产品为例,分析日尺度空间温度适宜度计算模型运行效益,结果表明:CLDAS日平均气温与站点观测值平均偏差0.57℃,CLDAS温度适宜度指标与站点适宜度平均偏差0.02,平均相对误差3.17%,空间拟合精度较高;日尺度温度适宜度指标空间化计算模型实现了适宜度指标的流程化计算,操作简便且方便推广,具有较高的实用性,达到了同化数据在气候适宜度指标区域化中的应用目的。
The study aims to avoid site interpolation error and achieve convenient and efficient application ofCLDAS data with high precision and spatial distribution to the climate suitability index of regionalization.Based on dynamic suitability calculation method of Inner Mongolia corn, GIS＇Model Builder was used toconstruct automated calculation model of daily temperature suitability of corn, which had the functions ofextracting CLDAS hours data, calculating daily average temperature, calculating the optimal temperature,lower limit temperature and maximum temperature, constructing piecewise function and error analysis. CLDASdata on May 25, 2016 was used to analyze the operation efficiency of daily space temperature suitabilitycalculation model. The results showed that： the mean absolute error of average temperature of CLDAS and siteobservation value was 0.57℃; the mean absolute error of temperature suitability index of CLDAS and siteobserved suitability was 0.02 and the average relative error was 3.17%, which indicated high fitting precision;daily temperature suitability index calculation model had achieved suitability index of routing computationwith simple operation and convenient popularization, which had high practicability and fulfilled the applicationof CLDAS in climate suitability index of regionalization.
出处
《中国农学通报》
2017年第1期120-127,共8页
Chinese Agricultural Science Bulletin
基金
内蒙古气象局科技创新项目"基于被动微波数据的雪深反演研究"(nmqxkjcx201602)
关键词
CLDAS
温度适宜度
计算模型
内蒙古
CLDAS
temperature suitability
calculation model
Inner Mongolia
