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

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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.