Satellite Calibration & Data Assimilation Branch
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is a physical scientist at NOAA / NESDIS and is the chief of the Satellite Calibration
& Data Assimilation Branch (previously the Sensor Physics Branch) of
STAR. Dr. Weng has been the deputy director for the
Joint Center for Satellite Data Assimilation from 2002-2004 and is a
member of the NPOESS Microwave Operational Algorithm Team (MOAT). In 1985,
Fuzhong Weng received his M.S. degree in radar meteorology from Nanjing
Institute of Meteorology. He then worked as an instructor, teaching
undergraduates about radar meteorology for two years. In order to enhance
his background in atmospheric sciences, Fuzhong came to the United States
in 1987 to pursue advanced studies at the Department of Atmospheric
Science, Colorado State University (CSU) and received his Ph.D. degree in
1992. Since then, he has been working for NOAA / NESDIS,
initially as a contractor, then as a visiting scientist and then a government employee.
Dr. Weng is a leading expert in developing various
satellite microwave products and algorithms such as the Special Sensor
Microwave Imager (SSM/I) and the Advanced Microwave Sounding Unit (AMSU) cloud
and precipitation algorithms, land surface temperature and emissivity
algorithms. These products are increasingly being utilized by the
international communities to validate the numerical weather prediction model
outputs and provide real-time monitoring of various severe weather events.
Dr. Weng has contributed extraordinarily to the advances in satellite data
assimilation. He developed a comprehensive technique for simulating
microwave land, snow and sea ice emissivity. These emissivity models have
significantly improved uses of satellite sounding data in models and
have impacted the high latitude weather forecasts.
Dr. Weng is developing innovative techniques to advance uses of
satellite measurements under cloudy and precipitating areas in models.
As a doctoral advisor at the University of Maryland, he has supervised
students on using satellite microwave measurements from
satellites in mesoscale models. He developed a new initialization for
hurricane simulation models, using satellite-derived profiles of
temperature and water vapor. His method yields balanced fields of
atmospheric mass and motion. The technique can now replace the bogus
method in hurricane
Dr. Weng is the first winner of the 2000 NOAA David Johnson Award for
his outstanding contributions to satellite microwave remote sensing fields
and the utilization of satellite data in models. He also received
the 2002 SPIE Scientific Achievement Award for Excellence in Developing
Operational Satellite Microwave Products and Algorithms. Dr. Weng is the
winner of the 2004 NOAA
Bronze medal award for developing high quality
satellite microwave products to improve weather and climate prediction. He
has published nearly 30 papers in international journals.
In 2005, Dr. Weng received a Gold Medal (the highest award from
Department of Commerce) for developing techniques to assimilate advanced
satellite observations into models that significantly improve weather forecasting.