Modeling GIFTS Data

GIFTS dynamic observations will enable better understanding of climate physics, hydrology and the Earth's water cycle (precipitation and evaporation), the transport of chemical species (like carbon monoxide and ozone), and weather processes. From these observations scientists will gain a better understanding of weather, climate, and air pollution. This increased knowledge will enable scientists to model (write equations and computer simulation programs) more accurate representations of atmospheric and oceanic conditions: pollution episodes, temperature, rainfall patterns, and sea levels.

Data obtained from GIFTS measurement techniques will be fed into the improved computer generated models used for weather prediction. GIFTS will provide the atmospheric variables needed to visualize the hydrological processes and validate modeled predictions. Modeling this data will aid in the development of tools to predict the timing and intensity of future severe weather and seasonal climate events, such as El Nino.