Optimized Dynamic Mode Decomposition for Reconstruction and Forecasting of Atmospheric Chemistry Data

arXiv:2404.12396v1 Announce Type: new
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