27. Improving Uses of Cloudy Radiances at Surface-Sensitive Channels
in NWP
Author：
X. Zou, X. Wang, F. Weng, Y. Chen and M.-J. Kim
Affiliation： Florida State University
The GOES imager radiance observations on board Geostationary Operational
Environmental Satellite (GOES), GOES-11/12, that are of high spatial and temporal
resolution were added to the assimilation of AMSU-A and conventional
observations, which produced the best 24-h quantitative precipitation forecasts
(QPFs) for a coastal storm over the northern Gulf of Mexico. Both the National
Centers for Environmental Prediction (NCEP) Gridpoint Statistical Interpolation
(GSI) analysis system and the Community Radiative Transfer Model version 2.02
(CRTM2.02) were utilized to ingest GOES IR clear-sky data and the Weather
Research and Forecast (WRF) model was used for model forecasts. The WRF
outputs of temperature, water vapor, hydrometeor profiles and surface winds in Gulf
region were then used as input to CRTM2.02 and RTTOV10 to simulate brightness
temperatures (TB) of microwave sounding instruments as a function of cloud liquid
water and ice water contents for a given surface wind speed and SST condition
(ocean only). The TB responses to cloud and other surface parameters such as sea
surface temperature and surface wind speeds are simulated by both CRTM 2.02 and
RTTOV10 and compared for understanding and quantifying O-B biases. The
observation error covariances are derived and parameterized as functions of observed
and model cloud and surface parameters. These are required inputs for improving
uses of cloudy radiances at surface-sensitive channels in NWP.