Wednesday, September 5, 2012

Modeling Atmospheric Aerosols: Opportunities, Excitements, and Danger

Dr. Mian Chin presented Maniac Talk on July 25, 2012 at NASA Goddard Space Flight Center

A physical scientist at NASA Goddard Space Flight Center, Dr. Mian Chin is the lead of several projects involving global modeling of tropospheric aerosols and chemistry. In the series of Maniac Talks we’ve had so far, Mian’s talk provides an important linkage between the observations and modeling world. So far we’ve had 9 talks and they focused on the use of satellite and in-situ observations for earth sciences. Mian and her colleagues have developed the global GOCART model (Goddard Chemistry Aerosol Radiation and Transport), which has been used to simulate tropospheric aerosols and related gas species. The GOCART model is suitable for linking satellite and in-situ or satellite-based observations.

In her talk, Mian shared her personal experiences in this field and discussed recent progresses, issues, and perspectives. She did a wonderful job of charting out the development in the modeling of global aerosols that began about 20 years ago. For someone who is not an expert in aerosol modeling, the historical background was a perfect course on when things started, who were the key researchers, what were the key results, what followed from this initial work and where the field is now – including the key groups currently working on various aspects of aerosol modeling. Mian mentioned that now there are many global models in the world developed with various complexities and capabilities. She presented important results and contributions from her group and collaborators in terms of modeling dust, black carbon, organic carbon and sea salt using GOCART model. Comparisons of model results against satellite observations were also presented. Mian’s talk illustrated the wide range of applications of global models, including assessing aerosol climate forcing and impacts on the past, present, and future, forecasting near-real time air quality, supporting field experiments, and analyzing observations from a variety of platforms.

--Summary & Picture by Falguni Patadia



No comments:

Post a Comment