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点与估算点气温差异的新方法。在我的方法中，它是应用Ueyama的方法，在空气温度的差异被分割的估计站点和AMeDAS点之间的差异：在估计站点（T_）的辐射冷却强度的影响<ESC>和在永久观测站点（T_）的辐射冷却强度的影响<SSC>，这些组件被建模为一个线性方程，使用一个新定义的辐射冷却强度的尺度，“辐射冷却尺度（RCS）”。本研究利用MSM输出计算RCS值，建立了网格点值（GPV）、5km网格高空数据和T_1、T_2的估算模型<SSC><ESC>。

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.