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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

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


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