Mathematical and Computational Foundations of Climate Modeling (25w5449)

The Chennai Mathematical Institute will host the "Mathematical and Computational Foundations of Climate Modeling: from Low-Dimensional Dynamics to Earth System Models" workshop in Chennai, India from August 17 to August 22, 2025.

The need to understand and predict the earth’s evolving climate has never been more imperative. Being a complex system, a single model cannot capture all relevant features of the weather and climate systems. To address this, researchers approach the problem from multiple viewpoints combining ground and satellite based observations, recent advances in scientific computing and machine learning, and an ever increasing list of earth system models of varying complexity describing different physical processes. Combining these methodologies into a consistent picture is the “model hierarchy problem”.

This interdisciplinary workshop brings together researchers with expertise in dynamical systems, machine learning, data assimilation and earth science to discuss ways to consistently model the climate across spatial and temporal scales. It will also work to solidify connections between mathematically-convenient descriptions of the climate with physical properties, while spurring an advancement in the mathematical understanding of the hierarchy problem and associated issues of risk assessment due to climate change. The workshop will also be a forum to nucleate a community of researchers in India to address these challenges by stimulating scientific collaboration with similar communities internationally.

The Chennai Mathematical Institute (CMI) in Chennai, India, and the Banff International Research Station for Mathematical Innovation and Discovery (BIRS) in Banff, are collaborative Canada-US-Mexico ventures that provide an environment for creative interaction as well as the exchange of ideas, knowledge, and methods within the Mathematical Sciences, with related disciplines and with industry. The research station in Banff is supported by Canada's Natural Science and Engineering Research Council (NSERC), the U.S. National Science Foundation (NSF), and Alberta's Advanced Education