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Upcoming JCSDA Seminars
About JCSDA's Seminar Series
The JCSDA seminar series includes presentations on satellite observing
instruments, radiative transfer models for use in satellite data
assimilation, algorithms for deriving information on the Earth's
atmosphere, oceans, and land surface from satellite observations,
advances in data assimilation techniques, preparations for
assimilation of data from new satellite instruments, and impacts of
satellite data on weather and climate predictions. The seminars are
about 1 hour in duration (including discussion period) and are held
monthly, usually on the 3rd Wednesday of each month at 2 PM, and are
open to the public.
The audience for the seminars generally consists of remote sensing
researchers from NOAA/NESDIS, data assimilation experts and modelers
from NOAA/NCEP and NASA/Goddard Space Flight Center Global Modeling
and Assimilation Office, and students/faculty from the University of Maryland.
Slides for each presentation should be available for download in PDF
format on this page, the day before each talk.
Unless specifically noted otherwise, the contact for
the JCSDA seminar series is Kevin Garrett.
Reducing Model Bias in a High Alitude Forecast System
Presentation file posted here when available.
Wednesday, January 21, 2015 2:00 p.m. - 3:00 p.m. Conference Center, NOAA Center for Weather and Climate Prediction,5830 University Research Court, College Park, MD
A prototype high-altitude numerical weather prediction (NWP) and data assimilation (DA) system has
recently been developed based on the operational Navy Global Environmental Model (NAVGEM) that
can generate global synoptic meteorological analyses every 6 hours from the ground to the lower
thermosphere (~100 km altitude). In addition to assimilating operational meteorological observations in
the 0-50 km altitude range, this high-altitude version of NAVGEM can also assimilate temperature and
constituent measurements throughout the stratosphere and mesosphere obtained from satellite-based
instruments. This presentation will discuss changes in the forecast model introduced to improve model
accuracy and thus minimize bias at high altitudes. Results from this new system show how it can be
used to (1) provide improved initial conditions for stratosphere-resolving NWP and climate models; and
(2) investigate dynamical coupling between the troposphere, stratosphere, and mesosphere. A challenge
facing high-altitude NWP efforts is the scarcity of operational satellite observations above 50 km. The
importance of these types of observations for planned development of unified ground-to-space forecast
systems will also be discussed.
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