Estimation Of Water Vapor Content By Using Both FY-2C Satellite Data And Routine Meteorological Data

The water vapor is a very important composition in the system ofatmosphere and plays a key role in synoptic and climatic change. It canbe used to gain the situation of atmosphere general circulation. And it isuseful to forecast and detect weather. The distribution of the water vaporwill be applied to weather modification and model simulation.The radiosonde data and the surface data are not enough to gain thedistribution of the water vapor in time. The FY-2C satellite data can begained every one hour. The temporal resolution of using combined datafrom the surface data and the FY-2C satellite data can be more high. Theconventional observation data can be effective to estimate water vapordistribution on spatial resolution.In this paper, the radiosonde data are applied to estimate watervapor distribution. Meanwhile the radiosonde data are used to buildrelationship among the surface water vapor pressure, the surface relativehumidity, the surface temperature, and the total water vapor content. Andthe coefficient interpolation with weight, which made it possible toestimate water vapor distribution by ground station data and radiosondedata. The FY-2C satellite data is applied to retrieve water vapordistribution under clear sky and the ground data is applied to estimatewater vapor distribution under cloudy condition. This combined method makes the water vapor distribution more credible.It can be estimated by surface data that is the total vapor contentunder cloudy condition. Otherwise, it can be showed to retrieve watervapor distribution by the FY-2C satellite data. So these two methods canbe used to obtain the water vapor distribution under all-weather condition.It can be gained to the distribution of the water vapor in China. The betterdata are applied and more effective water vapor product are realized.