Trends in Earth's Atmospheric Makeup: Pollution of the Air - Chemistry - Climate Connections
We use models alongside observational datasets to study atmospheric composition and climate.
CESM2 Chemistry-Climate Models
Group members are using different configurations of the Community Earth System Model version 2 (Danabasoglu et al., 2020), a CMIP6-generation chemistry-climate model with tropospheric and stratospheric chemistry, and a modal aerosol scheme: WACCM6, MUSICA.
A CMIP5-generation 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.
A chemistry-transport model driven with assimilated meteorology that has been extensively used in atmospheric chemistry, 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.
We joined the Svante cluster at MIT, housed at the Massachusetts Green High Performance Computing Center. Svante includes 36 new compute nodes based on the recently released 3rd generation scalable Intel Xeon Gold chip 6336Y, in a dual-core configuration (48 cores/node). Briefly, the 6336Y operates at 2.4 Ghz and boasts 8 channels of DDR4/3200 Mhz memory bandwidth, minimizing potential memory bandwidth bottleneck issues. Svante includes file servers with over 3.5 PB. More information on high-performance computing within PAOC available here.
Brewer was our cluster at LDEO, named to honor of Alan Brewer and Gordon Dobson, discoverers of the Brewer-Dobson circulation pattern in the stratosphere. 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.