SEMINAR: OneN0AA Science Seminar: T. Vukicevic. AOML Library, 2pm Today

[Sharan Majumdar <smajumdar@rsmas.miami.edu>]

-------- Original Message --------
Subject: OneNOAA Science Seminar: Data Assimilation of Cloud-Affected
Radiances airing in the library at 2pm Wednesday.
Date: Tue, 05 Jan 2010 13:44:22 -0500
From: christie wiley <Christie.Wiley@noaa.gov>
To: AOML.DIST@noaa.gov

The  OneNOAA Science seminar listed below will be airing in the library
tomorrow at 2pm.

Title: Data Assimilation of Cloud-Affected Radiances

Speaker: Tomislava Vukicevic (Atlantic Oceanographic and Meteorological
Laboratory (AOML <http://www.aoml.noaa.gov/>), Oceanic and Atmospheric
Research (OAR <http://www.oar.noaa.gov/>), NOAA <http://www.noaa.gov/>)

Abstract: A summary of research results on assimilation of GOES
(Geostationary Operational Environmental Satellites) Imager observations
into a cloud resolving model will be presented. The purpose of the
research is to evaluate feasibility of atmospheric data analysis with
clouds. The studies were performed using a research data assimilation
algorithm designated Regional Atmospheric Modeling and Data Assimilation
System (RAMDS) that was developed at CIRA (Cooperative Institute for
Research in the Atmosphere) at CSU (Colorado State University) and at
ATOC (department of ATmospheric and OCeanographic sciences) at CU
(University of Colorado). In RAMDAS a fully nonlinear 4DVAR (4-
dimensional variational) data assimilation approach is applied to the
cloud resolving regional model RAMS (Regional Atmospheric Modeling
System) that includes explicit bulk parameterization of cloud processes.
The observational operator for GOES imager observations is a system for
computing unpolarized radiative transfer for either collimated solar
and/or thermal emission sources of radiation in both clear and cloudy
plane-parallel conditions. Adjoint models of the cloud resolving and
radiative transfer models include explicit linearization of these
nonlinear models. Overall, the results with RAMDAS indicate that the
data assimilation of the cloud affected geostationary observations is
feasible. The results show improvement in the model representation of
the cloudy atmosphere and consistent change in the dynamical cloud
environment.

--
Christie Wiley
Librarian
NOAA Miami Regional Library
Ph:305-361-4428
Fax:305-361-4448


--
One day, the wind blowed so hard, it blowed a well up out of the ground;
blowed so hard, it blowed a crooked road straight.  Another time it
blowed an' blowed, an' scattered the days of the week so bad Sunday
didn't get around 'til late Tuesday mo'nin.  -  The WPA Guide to Florida

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