HR: 11:38h
AN: A32B-06 [Abstracts]
TI: Community Radiative Transfer Model for Satellite Radiance Simulation
AU: * Liu, Q
EM: Quanhua.Liu@noaa.gov
AF: Joint Center for Satellite Data Assimilation, 5200 Auth Road, Camp Springs, MD 20746,
United States
AU: Han, Y
EM: Yong.Han@noaa.gov
AF: NOAA/NESDIS/Office for Research and Application, 5200 Auth Road, Camp Springs, MD
20746, United States
AU: Chen, Y
EM: Yong.Chen@noaa.gov
AF: CIRA, Colorado State University, 5200 Auth Road, Camp Springs, MD 20746, United States
AU: van Delst, P
AF: CIMSS, University of Wiscosin, 5200 Auth Road, Camp Springs, MD 20746, United States
AU: Weng, F
EM: Fuzhong.Weng@noaa.gov
AF: NOAA/NESDIS/Office for Research and Application, 5200 Auth Road, Camp Springs, MD
20746, United States
AB:
The Community Radiative Transfer Model (CRTM) [Weng et al., 2005], developed at U.S. Joint Center for Satellite
Data Assimilation (JCSDA), has been used for the satellite radiance simulation and the radiance derivatives to
the surface/atmospheric parameters in the physical retrieval [Boukabara et al., 2007], data assimilation [Le
Marshall et al., 2006] and many others [Han et al., 2006; Liu and Weng, 2006]. CRTM has been become a key
component in U.S. data assimilation at the National Center for Environmental Prediction (NCEP) [Okamoto and.
Derber, 2006]. It is a core engine for NOAA/NESDIS Microwave Integrated Retrieval System (MIRS) [Boukabara et
al., 2007]. The CRTM has also been implemented into Weather Research Forecasting (WRF) model.
The CRTM is known as modular program development [van Delst et al., 2006], which breaks down the radiative
transfer model into components, each of which is encapsulated in one or several program modules and can be
developed independently of the others. The key components of the CRTM are the advanced surface emissivity
and reflectivity models [van Delst and Wu, 2000; English 1999; Weng et al. 2001] including a polarimetric surface
emissivity model [Liu and Weng, 2003], the fast Optical Path Transmittance (OPTRAN) model [Xiong et al., 2006],
the cloud absorption/scattering look-up tables [Yang et al., 2000], and the advanced radiative solver [Liu and
Weng, 2006]. The CRTM can also compute aerosol radiance. The CRTM can deal with Zeeman splitting effect,
the energy received in the channels for the stratosphere and mesosphere depends strongly on the geomagnetic
field and its orientation with respect to the direction of observation [Han et al., 2007]. We will also present the
applications of the CRTM in hurricane detection and forecasting, in the determination of stratospheric
temperature, a key contributing factor to photochemical ozone depletion, and in reanalysis and climate studies.
DE: 3311 Clouds and aerosols
DE: 3359 Radiative processes
DE: 3360 Remote sensing
SC: Atmospheric Sciences [A]
MN: 2007 Fall Meeting