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Atmospheric Science & Global Change

Staff information

Parvathi Kooloth

Computational Climate Science
Post Doctorate RA C

PNNL Publications

2025

  • Chen T., P. Kooloth, J. Lu, and Z. Hou. 2025. "ClimGen: Learning the Forcing-Response Relationship in Climate System." In ICLR 2025 Workshop: Tackling Climate Change with Machine Learning, April 24-28. 2025, Singapore, Paper No. 52. Pittsburgh, Pennsylvania:Climate Change AI. PNNL-SA-211021.
  • Tian J., J.M. Comstock, A.V. Geiss, P. Wu, I. Silber, D. Zhang, and P. Kooloth, et al. 2025. "Mesoscale Cellular Convection Detection and Classification Using Convolutional Neural Networks: Insights From Long-Term Observations at ARM Eastern North Atlantic Site." Journal of Geophysical Research: Machine Learning and Computation 2, no. 1:e2024JH000486. PNNL-SA-205367. doi:10.1029/2024JH000486

2024

  • Kooloth P., J. Lu, C. Bakker, D. Desantis, and A.T. Rupe. 2024. "Optimal control of polar sea-ice near its tipping points." npj Climate and Atmospheric Science 7. PNNL-SA-195213. doi:10.1038/s41612-024-00768-1
  • Kooloth P., L. Smith, and S. Stechmann. 2024. "Non-conservation and conservation for different formulations of moist potential vorticity." Atmospheric Science Letters 25, no. 8:Art. No. e1237. PNNL-SA-192366. doi:10.1002/asl.1237

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