Using Satellite Data in Weather Forecasting: I
- Created on Saturday, 01 July 2006
The GOES Product Generation System (GPGS) is a set of computer codes and scripts that enable the assimilation of real-time Geostationary Operational Environmental Satellite (GOES) data into regional weather forecasting mathematical models. The GPGS can be used to derive such geophysical parameters as land surface temperature, the amount of precipitable water, the degree of cloud cover, the surface albedo, and the amount of insolation from satellite measurements of radiant energy emitted by the Earth and its atmosphere. GPGS incorporates a priori information (initial guesses of thermodynamic parameters of the atmosphere) and radiometric measurements from the geostationary operational environmental satellites along with mathematical models of physical principles that govern the transfer of energy in the atmosphere. GPGS solves the radiative-transfer equation and provides the resulting data products in formats suitable for use by weather-forecasting computer programs. The data-assimilation capability afforded by GPGS offers the potential to improve local weather forecasts ranging from 3 hours to 2 days — especially with respect to temperature, humidity, cloud cover, and the probability of precipitation. The improvements afforded by GPGS could be of interest to news media, utility companies, and other organizations that utilize regional weather forecasts.
This program was written by Gary J. Jedlovec and Ronnie J. Suggs of Marshall Space Flight Center and Juan M. Lecue of the Universities Space Research Association and the Global Hydrology and Climate Center. For further information, contact Sammy Nabors, MSFC Commercializaton Assistance Lead, at sammy.a.nabors@ nasa.gov. Refer to MFS- 31615.