FY-3B TOU臭氧总量多元回归插值与验证

Multivariate Regression Interpolation and Verification of FY-3B TOU Total Ozone

FY-3B TOU臭氧总量产品空间分辨率为50 km,在开展小区域或精细化的臭氧研究时,需要获得更高分辨率、更具有准确性和可靠性的臭氧插值数据。常规的数据插值方法没有考虑TOU臭氧总量受短波辐射、海拔高度的影响,所得到的插值数据参考性不强。该文利用TOU多元回归插值方法,采用程序设计方式,动态分析TOU与短波辐射、海拔高度之间的相关性,建立一元回归模型,并根据一元回归模型结构建立多元回归模型,再通过多元回归模型对TOU进行插值。使用OMI臭氧总量数据对插值结果开展验证,验证结果表明采用多元回归算法的插值具有较好的可行性。该插值方法及程序设计对其他类似的数据插值、分析具有一定的借鉴和参考意义。

The spatial resolution of FY-3B TOU total ozone product is 50 km,and it is necessary to obtain high-resolution,more accuracy and reliability total ozone interpolation data,when carrying out small area or refined ozone studies.Conventional data interpolation methods do not consider the influence of short wave radiation and altitude on the total ozone amount of TOU,and the interpolation data obtained are not highly referential.This paper utlizes the multiple regression interpolation method of TOU,adopts the programming approach to dynamically analyze the correlation between TOU and shortwave radiation,altitude,establish a single regression model,establish a multiple regression model according to the structure of the single regression model,and then interpolate TOU through the multiple regression model.The OMI ozone total data was used to verify the interpolation results,and the verification results show that the interpolation using multiple regression algorithm was feasible.The interpolation method and program design have certain reference significance for other similar data interpolation and analysis.