UMD AOSC Seminar

Community Radiative Transfer Model Development and Applications

Dr. Quanhua (Mark) Liu

University of Maryland

The Community Radiative Transfer Model (CRTM), developed at the Joint Center for Satellite Data Assimilation, has been applied to the NOAA/NWS operational radiance assimilation in supporting of daily weather forecasting, to the NOAA Microwave Integrated Retrieval System for operational satellite products, and to international remote sensing community for remote sensing sensor calibration, air quality application, and others including projects at CICS/ESSIC.

The CRTM development is contributed to by multiple U.S. government agencies, universities as well as private companies. We will present the latest CRTM version 2.1, which is applicable for passive microwave, infrared and visible sensors. It supports all NOAA satellite instruments, NASA MODIS, and many foreign meteorological satellites. In this study, we will describe the CRTM functionalities and capabilities in the new release of version 2.1.

We will show the CRTM applications in the NCEP GSI for satellite radiance assimilation including bias and standard deviation monitoring. We will also present the CRTM application for satellite products, for example in one-dimensional retrieval algorithm. In addition, we are going to present various applications using the CRTM including using CRTM SSU transmittance to study long-term temperature trend in the stratosphere, including the Zeeman splitting effect in the CRTM to improve microwave brightness temperature computation accuracy, and using the NLTE module to get much better agreement between simulations and observations, and using CRTM AOD module in aerosol optical depth assimilation to improve air quality forecasting.

Thursday, October 18, 2012

Seminar: 3:30-4:30pm

Computer and Space Sciences (CSS) Building, Auditorium (Room 2400)
Refreshment is served at 3:00pm in the adjoining Atrium

[Contact: Eugenia Kalnay]
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AOSC494: Atmospheric and Oceanic Science Seminar
AOSC 818: Frontiers in Atmosphere, Ocean, Climate, and Synoptic Meteorology Research