期刊名称：Advance Journal of Food Science and Technology
印刷版ISSN：2042-4868
电子版ISSN：2042-4876
出版年度：2016
卷号：11
期号：1
页码：40-42
DOI：10.19026/ajfst.11.2351
出版社：MAXWELL Science Publication
摘要：This study describes the establishment of deferent statistical downscaling equations, using the existing Shannxi hydrological data of the Weihe basin, to downscaly analyze its monthly rainfall and temperature for food produce. The combination of main element analysis with the multi linear regression of downscaling is to get the statistical relationship between the atmosphere circling factors as outputs of global weather model with the rainfall and temperature data of 8 hydrological stations. Using the gradual regression method to analog the rainfall tells the relative error in a range of ±5% but that of standard deviation within -25~-40%, all smaller than the real time values and R2 about 0.45~0.7. For simulating the temperature, it shows almost no error of the average monthly temperature and the standard deviation obviously less than that of the real time and R2 ranging 0.85~0.95 most of the time, except about 0.7 in May, July and September. So, the statistical downscaling method of main element analysis has had a good result in imitating cropland precipitation and temperature for food produce.
