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Toshihisa Matsui, Assistant Research Scientist


GEST Research Group:

Mesoscale Atmospheric Processes

GSFC Code:

613.1

Mailing Address:

Mesoscale Atmospheric Processes
Building 33, Room
NASA GSFC, Code 613.1
Greenbelt, MD 20771 USA

Toshihisa Matsui

Phone:

(301) 614-5658

Email:

Toshihisa.Matsui-1@nasa.gov

URL:

Toshihisa Matsui

Most Recent Publication:

Matsui, T., X. Zeng, W.-K. Tao, H. Masunaga, W. Olson, S. Lang (2009), Evaluation of Long-Term Cloud-Resolving Model Simulations Using Satellite Radiance Observations and Multifrequency Satellite Simulators, Journal of Atmospheric and Oceanic Technology, Vol. 26, 7, pp. 1261-1274, doi:10.1175/2008JTECHA1168.1.

Research Interests:

Dr. Matsui has experience in high-resolution atmospheric and land-surface modeling as well as satellite remote sensing analyses and assimilation with focuses on the cloud-precipitation, aerosol, and land-surface processes. His current research topics are i) development of multi-scale cumulus ensemble models with satellite radiance observations and satellite simulators, ii) analyses of cloud-precipitation processes and aerosol-cloud interactions using numerical modeling as well as multi-platform and multi-sensor satellite observations.

See also:

Goddard Mesoscale Dynamics and Modeling Group

NASA GSFC Aerocenter

Biography:

Dr. Toshihisa Matsui received a Ph.D. in Atmospheric Science (2006) from Colorado State University, M.S in Earth & Environmental Resource Management (2002) from University of South Carolina, and a BS in Civil Engineering (1999) from Kobe University in Japan. In 2007, he joined the Goddard Earth Sciences and Technology Center at the University of Maryland, Baltimore County, as a member of the research faculty. His current research topics include development of multi-sensor satellite simulator in order to i) improve microphysics scheme in cloud-resolving models, ii) support development of radiance-based data assimilation system in the mesoscale modeling systems, and iii) facilitate remote-sensing algorithm development by providing a priori simulation database.