Dr. Xingming Liang
Postdoctoral Fellow
Office: WWB, Rm 603
Phone: (301) 763-8102
Fax: (301) 763-8572
Email:
Mailing Address:
Xingming Liang
5200 Auth Rd.
Camp Springs, MD 20746-4304
Biography

XingMing Liang received his BSc in Mineral Mechanical Engineering from Jilin University of Technology, ChangChun, China (1992). From 1992 to 1999, He worked in software design and development for financial and Enterprise Management, at Hong Kong and mainland software companies, China. From 1999, He began to devote himself to the research of atmospheric science and remote sensing and received MS (2002) in Information Science, PhD (2005) in Atmospheric Science and remote sensing from Saga University, Saga, Japan. His areas of interest include application of radiative transfer theory and aerosol on atmospheric and oceanic climate research. He worked as student researcher of JSPS (Japan Society for the Promotion of Science) from 2003 to 2005, and as postdoctoral fellow of IOES (Institute of Ocean Energy, Saga University, Saga, Japan) from 2005 to 2007, where he developed 2-D radative transfer model in visible spectral region, which was used to inversely retrieve aerosol micro-physical properties (refractive index and size distribution) using ground based measurement data. Dr. Liang joined CIRA in 2007 as a postdoctoral fellow and work at NOAA/NESDIS/STAR, where he works in applying radiative transfer model on physical SST retrieval and aerosol correction on SST.  

Recent Work
Figure

Above: The new AVHRR Clear-Sky Processor for Oceans (ACSPO) developed at NESDIS, will replace the heritage Main Unit Task (MUT) system. Fast Community Radiative Transfer Model (CRTM) has been integrated into ACSPO. It is used in conjunction with the National Centers for Environmental Prediction (NCEP) Global Forecast System (GFS) upper air fields and Reynolds weekly (version 2) SST to simulate AVHRR top-of-atmosphere (TOA) clear-sky brightness temperatures (BT). Model BTs are used to improve the ACSPO clear-sky mask, monitor quality of AVHRR BTs, and explore physical SST retrievals. Accuracy of CRTM and global input fields are critical for all these applications. Current work is careful implementation of the forward CRTM in ACSPO in conjunction with NCEP/GFS atmospheric and Reynolds SST data, and validation of CRTM BTs against AVHRR BTs. The figure shows global distribution of “Model minus Observation” (M-O) biases for NOAA18-Ch3B for one day of 18 February 2007.

General Themes
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