We use models alongside observational datasets to study atmospheric composition and climate.
GFDL CM3/AM3 Chemistry-Climate Model: A recently developed NOAA GFDL general circulation model that includes fully coupled tropospheric and stratosphere chemistry in a single mechanism and aerosol-cloud interactions, coupled to a dynamic vegetation land model (LM3), either coupled to ocean and sea-ice models (CM3) or forced with sea surface temperatures and sea ice distributions (AM3). AM3 includes an option to nudge the meteorology to “real” winds, enabling us to interpret “snapshot” observations and to evaluate model processes directly with measurements at specific locations and times in the same model used to simulate changes in atmospheric composition and climate.
GFDL LM3: The NOAA GFDL global land model with vegetation dynamics and terrestrial carbon, water, and energy balances [Shevliakova et al., Global Biogeochemical Cycles, 2009; Milly et al., Journal of Hydrometeorology, 2014]. LM3 is coupled to AM3 through several different processes, and is a part of CM3 (see above). There is a single point configuration of LM3 that enables us to interpret observations from long-term environmental or ecological monitoring sites and advance the understanding of processes altering the land surface and climate.
GEOS-Chem model: A chemistry-transport model driven with assimilated meteorology that has been extensively used in atmospheric chemistry over the past 15 years, originally developed and maintained by the Harvard University Atmospheric Chemistry Modeling Group. We are using GEOS-Chem to examine trends in atmospheric composition in recent decades, as well as for source attribution during regional pollution events.
Brewer is our computer cluster, used in our research to simulate a variety of atmospheric and climate phenomena. It is named to honor of Alan Brewer and Gordon Dobson, discoverers of the Brewer-Dobson circulation pattern in the atmosphere, which controls the distribution and flow of ozone in our planet. On Brewer we develop and brew new ideas about atmospheric chemistry, air quality, atmospheric dynamics, climate dynamics and variability, climate impacts, the climate of the past and the climate of the future, and the interactions between the atmosphere, oceans and climate, using computer programs known as general circulation models (GCMs), chemical transport models (CTMs), etc. Brewer has 32 compute nodes with a total of 1024 2.4MHZ AMD Opteron processors and 4096GB aggregate memory , a head node, a storage node with RAID-6 72TB capacity, Infiniband QDR 40Gb/s fast interconnect for parallel computations, and a wide variety of scientific software installed.