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September 10, 2025Geoscientific model developmentOpen Access

Optimized dynamic mode decomposition for reconstruction and forecasting of atmospheric chemistry data

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Authors

MVMeghana VelagarUniversity of Washington Applied Physics LaboratoryCKChristoph A. KellerSwiss Re (Switzerland)JKJ. Nathan KutzUniversity of Washington

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Implication

The optimized dynamic mode decomposition effectively forecasts atmospheric chemistry dynamics, indicating significant computational advantages.

Key Points

  • The optimized dynamic mode decomposition forecasts atmospheric chemistry data with high interpretability and speed.
  • This method effectively reconstructs key chemical patterns, including those for nitric oxide and ozone.
  • Utilizing a linear superposition of dominant features, it achieves accurate forecasting for various atmospheric components.
  • The DMD algorithm is adaptable for non-stationary data, enhancing its applicability in dynamic chemical systems.

Cite This Study

Velagar et al. (2025) studied this question.

synapsesocial.com/papers/68c1a13a54b1d3bfb60dc8b6https://doi.org/10.5194/gmd-18-4667-2025
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