Computer Science & Engineering

Atmospheric chemistry and composition are central drivers of climate change, air quality, and biogeochemical cycling. The GEOS-Chem global 3-D model of atmospheric composition is an essential tool in advancing this understanding. As an open-source model, it is used by hundreds of research groups worldwide and boasts an active community of developers committed to its continuous improvements. This project targets improvements to the computational efficiency of the GEOS-Chem software with a focus on large-scale, parallel instantiations that leverage the massive compute resources now readily available from the cloud. The work requires a solid understanding of algorithms and large-scale software systems.

Research keywords: cloud computing; software systems; atmoshperic simulatioon

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