Comparison of passive microwave sounding data with numerical weather prediction profiles

Stephen J. English; Jeff K. Ridley; Richard J. Renshaw; Paul C. Dibben; Brian R. Barwell; Andrew J. Smith; Peter Joseph Rayer; John R. Eyre

doi:10.1117/12.319489

19 August 1998 Comparison of passive microwave sounding data with numerical weather prediction profiles

Stephen J. English, Jeff K. Ridley, Richard J. Renshaw, Paul C. Dibben, Brian R. Barwell, Andrew J. Smith, Peter Joseph Rayer, John R. Eyre

Author Affiliations +

Proceedings Volume 3503, Microwave Remote Sensing of the Atmosphere and Environment; (1998) https://doi.org/10.1117/12.319489
Event: Asia-Pacific Symposium on Remote Sensing of the Atmosphere, Environment, and Space, 1998, Beijing, China

Abstract

The advanced microwave sounding unit (AMSU), launched on May 13 1998, is a twenty-channel passive microwave radiometer deisgned to provide information on atmospheric temperature and humidity structure in clear and cloudy conditions, complementing existing IR radiometers which provide information only in clear areas. AMSU has some channels similar to those flown on existing missions and others which are new. Observed radiances from the special sensor microwave imager and the microwave sounding unit are compared with radiances calculated from numerical weather prediction model profiles, and the differences discussed. A processing method for ATOVS radiances is described, and differences from previous techniques are highlighted. An initial evaluation of AMSU data is given. Finally the impact of passive microwave observations on the skill of numerical weather forecasts is discussed.

Citation Download Citation

Stephen J. English, Jeff K. Ridley, Richard J. Renshaw, Paul C. Dibben, Brian R. Barwell, Andrew J. Smith, Peter Joseph Rayer, and John R. Eyre "Comparison of passive microwave sounding data with numerical weather prediction profiles", Proc. SPIE 3503, Microwave Remote Sensing of the Atmosphere and Environment, (19 August 1998); https://doi.org/10.1117/12.319489

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KEYWORDS

Microwave radiation

Atmospheric modeling

Humidity

Clouds

Data modeling

Meteorology

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