GLIN==> UPCOMING SEMINAR

[Kanika Suri <Kanika.Suri@noaa.gov>]

Dr. Wanli Wu from the National Center for Atmospheric Research will be 
giving a seminar on Wednesday, April 19 as a part of the NOAA and 
University of Michigan Great Lakes Seminar Series.

Please find details of the talk listed below.

Speaker: Dr. Wanli Wu, Climate and Global Dynamics Division, National 
Center for Atmospheric Research

Title: An integrated analysis of Arctic climate variability with 
modeling and observations

Date: April 19, 2006

Time: 10:30 AM

Location: Library Conference Room
              Great Lakes Environmenral Research Laboratory, 2205 
Commonwealth Blvd., Ann Arbor, MI

Abstract
Understanding regional climatic contribution and its response to global 
change has been in the interest of both the scientific community and 
society in general. The Arctic has been recognized as one of most 
sensitive areas on the Earth to global change. The Arctic climate system 
involves complex interactions between the atmospheric, terrestrial, 
oceanic, and sea ice components. By combining modeling with 
observations, climate variability (spatial and temporal) in the northern 
high latitudes is presented. The modeling includes regional climate 
model (RCM) and global climate model (GCM) simulations. Multiple 
observational datasets (from global reanalysis to satellite data) are 
used 1) to qualify uncertainty in the observations; 2) to validate 
climate models; and 3) to document the regional climate variability. The 
climatological mean state, its trend along with their seasonal cycle, 
interannual variability are analyzed. Though deficiencies in 
observational datasets and biases between models and observations, the 
modeling and observations are generally in good agreement on recent 
changes in the Arctic system: decreasing sea level pressure, increasing 
surface air temperature, and downward trend in sea ice extent. Besides 
annual trend, monthly trends of the regional climate are estimated. The 
trends show strong seasonality: large in the wintertime while small (or 
opposite sign) in the summertime. Similar seasonal variation can also be 
seen in the interannual variability of the regional climate. 
Additionally, the regional climate model not only reproduces many 
large-scale features as in the observations, but also develops mesoscale 
characteristics that are missed in global reanalysis and global models. 
The added regional details by RCMs are crucial for applications such as 
regional climate impact assessments and water resource evaluations.

If you have any questions or concerns, please contact me at 
kanika.suri@noaa.gov; or call 734-741-2147

**************************************************************************************** 

Kanika Suri
Center of Excellence for Great Lakes and Human Health (CEGLHH)
2205 Commonwealth Blvd.
Ann Arbor, MI
48105

734-741-2147

* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *
glin-announce is hosted by the Great Lakes Information Network (GLIN):
http://www.great-lakes.net

To subscribe: http://www.glin.net/forms/glin-announce_form.html

To post a message: http://www.glin.net/forms/glin-announce_post.html

To search the archive: http://www.glin.net/lists/glin-announce/

All views and opinions presented above are solely those of the author or
attributed source and do not necessarily reflect those of GLIN or its
management.
* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *