Use of Satellite Data in Numerical Weather Prediction

Abstract

Numerical Weather Prediction has made, and continues to make,  substantial improvements in forecast skill through developments in 

- meteorological and computational science,

- data assimilation methods, particularly four-dimesional variational assimilation methods

- enhanced computer power

- enhanced remote sensing capabilities from space.

The presentation will

- describe current methods for assimilating satellite data in numerical  models,

- give examples on the use of both active and passive remote sensors,

- give examples of the impact of the satellite data on forecast skill.

The presentation will conclude with a forward look to the extension of  the methodologies of numerical weather prediction to build a global and   consistent capability for monitoring the Earth-system (atmosphere and   atmospheric composition, land vegetation and ocean, all on scales larger  than 50km, using in-situ and satellite data.