Development of an estimation method of surface air temperature using the Meso-Scale Model and AMeDAS

提出了一种结合AMeDAS观测资料和中尺度模式(MSM)输出资料估算AMeDAS点与估计点气温差的新方法。在我的方法中，采用Ueyama方法，将气温差划分为估计点和AMeDAS点之间的差值：估计点的辐射冷却强度的影响(T；lt；Esc&gt；)和永久观测点的辐射冷却强度的影响(T；lt；SSC&gt；)，并使用新定义的辐射冷却强度的标度--“辐射冷却标度(RCS)”将这些分量建模为线性方程。本研究利用MSM的输出资料计算RCS值，建立了格点值(GPV)、用MSM计算的5公里网格高空资料以及T&lt；SSC&GT；和T&lt；ESC&GT；的估算模型。

It was developed a new method combined AMeDAS observation data with Meso-Scale Model (MSM) outputs for estimating difference in air temperature between AMeDAS point and estimation points. In my method it was applied the method of Ueyama, difference in air temperature is partitioned the difference between the estimation sites and the AMeDAS point : the influence of the radiative cooling intensity at the estimation site (T_<ESC>) and the influence of the radiative cooling intensity at the permanent observation site (T_<SSC>), and these components are modeled as a linear equation using a newly defined scale of radiative cooling intensity, the "radiative cooling scale (RCS)". In this study RCS values were computed using MSM outputs ; Grid Point Value (GPV), 5km grid upper air data computed using MSM and estimation models both of T_<SSC> and T_<ESC> were developed.