Deriving Mesoscale Temperature and Moisture Fields from Satellite Radiance Measurements over the United States

Abstract

The ability to provide mesoscale temperature and moisture fields from operational satellite infrared sounding radiances over the United States is explored. High-resolution sounding information for mesoscale analysis and forecasting is shown to be obtainable in mostly clear areas. An iterative retrieval algorithm applied to NOAA-VTPR radiances uses a mean radiosonde sounding as a best initial guess profile. Temperature soundings are then retrieved at a horizontal resolution of ?70 km, as is an indication of the precipitable water content of the vertical sounding columns. Derived temperature values may be biased in general by the initial guess sounding, or in certain areas by the cloud correction technique, but the resulting relative temperature changes across the field when not contaminated by clouds will be useful for mesoscale forecasting and models. The derived moisture, however, since affected only by high clouds, proves to be reliable to within 0.5 cm of precipitable water and contains valuable horizontal information. Present day applications from polar orbiting satellites as well as possibilities from upcoming temperature and moisture sounders on geostationary satellites are noted.