[Proflist] Joint Center for Satellite Data Assimilation Seminar, Dec. 12: Ben Ruston

[George Ohring - NOAA Federal]

*Note: This seminar will take place in the NCWCP Auditorium.

*

* *

*JCSDA Seminar*

*Title*

*Impact of NPP Satellite Assimilation in the U.S. Navy Global Modeling
System***

*Speaker*

*Ben Ruston
Naval Research Laboratory ***

*Date,  Time & Place*

*Wednesday, December 12, 2012
**2:00 – 3:00 PM, Auditorium,* NOAA Center for Weather and Climate
Prediction, 5830 University Research Court, College Park, MD

*Abstract*

The Suomi NPP satellite has 3 sensors, ATMS, CrIS, and OMPS, which are of
high interest for assimilation into the Navy's 4-Dimensional Variational
(4D-Var) assimilation system, NAVDAS-AR.  This presentation will primarily
address the work done with the ATMS sensor, and will show some of the early
work with OMPS; however, the assimilation of CrIS will be saved for a
future date.  The core of the Navy's global forecast system is the 42-level
NOGAPS model and the follow-on system is the 50-level NAVGEM model. Both
have a model top of 0.04 hPa and both are accompanied by the 4D-Var system,
NAVDAS-AR.  The system currently assimilates radiances from microwave
(AMSU-A, MHS, SSMIS) and infrared satellite sounders (AIRS and IASI) in
addition to the bending angle from GNSS-RO.  The current NAVDAS-AR system
can compute bias corrections for satellite radiances from either an offline
Harris-Kelley type approach, or using a variational bias correction (varBC).
The experiments using the 42-level NOGAPS model use a Harris-Kelly bias
correction, while NAVGEM experiments use the varBC.  The assimilation of
ATMS produces stable innovations (observation minus background) over time,
with biases of similar magnitude to those of heritage MW sounders.  The
current observational system has good data coverage in space and time from
IR/MW sounders; thus a forecast metric such as 500 hPa anomaly correlation
against self-analysis does not show significant impact from the addition of
ATMS assimilation.  However, the examination of adjoint-based observation
impact using a 24-hour global moist total energy error norm shows
consistent positive impact from ATMS with very similar observation impact
as seen in AMSU-A.

*Remote Access*

*Video:* 1. Go to JCSDA Seminar <https://star-nesdis-noaa.webex.com/> and
click on the seminar title
2. Enter your name and email address.
3. Enter the meeting password: JCSDAseminars707
4. Click "Join Now".
5. Follow the instructions that appear on your screen.
*Audio: *USA participants: 1-866-715-2479,  Passcode: 9457557
International:                    1-517-345-5260

*Contact*

If you would like to present a seminar contact George.Ohring at noaa.gov

*Seminar Files*

Slides available prior to, and audio recording after, the presentation at
http://www.jcsda.noaa.gov/JCSDASeminars.php
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