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Optimized Dynamic Mode Decomposition for Reconstruction and Forecasting of Atmospheric Chemistry Data
April 22, 2024, 4:41 a.m. | Meghana Velegar, Christoph Keller, J. Nathan Kutz
cs.LG updates on arXiv.org arxiv.org
Abstract: We introduce the optimized dynamic mode decomposition algorithm for constructing an adaptive and computationally efficient reduced order model and forecasting tool for global atmospheric chemistry dynamics. By exploiting a low-dimensional set of global spatio-temporal modes, interpretable characterizations of the underlying spatial and temporal scales can be computed. Forecasting is also achieved with a linear model that uses a linear superposition of the dominant spatio-temporal features. The DMD method is demonstrated on three months of global …
abstract algorithm arxiv chemistry cs.lg data dynamic dynamics forecasting global low math.ds physics.ao-ph set spatial stat.ap stat.ml temporal tool type
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