摘要
利用GMS-5卫星红外分裂窗通道和水汽通道结合探空资料反演晴空大气的水汽分布;同时利用探空资料建立地面水汽压和相对湿度与大气总水汽量的经验关系,通过带权插值生成淮河流域300多个地面站经验关系式的系数矩阵,并利用地面站资料确定云天大气的水汽分布。最后,将两种方法进行融合,得到淮河流域全天候的水汽场分布。
In this paper, the GMS-5 data at channels of infrared split windows and water vapor are applied, accompanied by radiosonde data, to retrieve water vapor distribution under cloud-free condition. Meanwhile the radiosonde data are used to build empirical relationship among the surface water vapor pressure, the surface relative humidity, and the total water vapor content, and then the coefficient matrix for the empirical formulas at more than 300 ground stations in the HUBEX area is derived by interpolation with weight, which made it possible to estimate water vapor distribution by ground station data under cloudy condition. The two methods are finally collaborated to obtain the water vapor distribution under all-weather condition in the HUBEX area.
出处
《气候与环境研究》
CSCD
2001年第2期197-202,共6页
Climatic and Environmental Research
基金
国家自然科学基金资助项目49794030
中国气象局和吉林省人民政府人工影响大气联合开放实验室1999年度科学基金
国家重点