Studies on Method of Analysis for Regional Meteorology using Ground data and Satellite data

利用卫星资料和地面资料对辽宁省气温分布和风速分布进行了研究，利用GMS资料估算了辽宁省气温分布，并与我国公布的资料进行了精度比较。结果表明，卫星反演的地表温度与气温的相关系数、均方根误差（RMSE）在早晨和夜间都比白天好。同时，利用地面温度资料对气温和日平均气温进行了估算，并将估算结果与我国公布的资料进行了比较。结果表明：早晨（6 AM）和傍晚（6 PM）地面温度与日平均气温的相关系数和均方根误差均较好;将北海道土别都和新锡诺都的实测风速与NOAA资料的地面温度进行了比较。结果表明，卫星数据推算的地表温度与实测风速的相关系数在实测风速最强的5月和6月较好。

The studies were performed for the 2 items using satellite data and ground data ; the distributions of air temperature and the distributions of wind speed.The distributions of air temperature in Liaoning Province, China were estimated using GMS data and the accuracy of air temperature were compared with our published data. The results are that the correlation coefficients between surface temperature derived from satellite and air temperature, and RMSE(Root Mean Square Error) are better at morning time and at night time than at day time. Especially, RMSE at 6-9 AM have the best.Also, air temperature and daily mean air temperature were estimated using surface temperature measured on the ground and these accuracy were compared with our published data. The results are that the correlation coefficients between surface temperature measured on the ground and daily mean air temperature, and RMSE are better at morning time(6 AM) and at evening time(6 PM).The measured wind speed in Toubetu and Shinsinotu, Hokkaido were compared with surface temperature derived from NOAA data. The result is that the correlation coefficients between surface temperature derived from satellite data and measured wind speed are better in May and June when measured wind speed are the strongest.