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

利用卫星数据和地面数据研究了辽宁省气温分布和风速分布，利用GMS数据估算了辽宁省中国地区的气温分布，并与已发表的资料进行了精度比较。结果表明，卫星获取的地面温度与气温的相关系数和均方根误差(RMSE)在早间和夜间均优于白天。利用地面测得的地表温度估算了气温和日平均气温，并与已发表的数据进行了比较。结果表明，地面测温与日平均气温和均方根误差在早间(上午6点)和晚间(下午6点)的相关系数较好，并将北海道的Toubetu和Shinsinotu的实测风速与NOAA资料的地表温度进行了比较。结果表明，由卫星资料提取的地表温度与实测风速的相关系数在5、6月份观测风速最强时较好。

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.