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Predictability, Predictions, and Applications Interface Panel

The Predictability, Predictions, and Applications Interface (PPAI) Panel's mission is to foster improved practices in the provision, validation and uses of climate information and forecasts through coordinated participation within the US and international climate science and applications communities. The Panel is comprised of up to 12 experts from the scientific community, each serving a 4-year term. New panelists are selected annually by the Scientific Steering Committee based on nominations submitted through an open call for new members each fall/winter.


Predictability, Predictions, and Applications Interface (PPAI) Panel
Member name Institution Term through
Michelle L'Heureux, Co-chair NOAA Climate Prediction Center Dec. 2024
Matthew Newman, Co-chair NOAA Physical Sciences Laboratory Dec. 2023
Dillon Amaya NOAA Physical Sciences Laboratory Dec. 2023
Weston Anderson NASA Goddard Space Flight Center Dec. 2026
John Callahan NOAA CO-OPS Coastal Hazards Branch Dec. 2024
Jason Furtado University of Oklahoma Dec. 2025
Vittorio (Victor) Gensini Northern Illinois University Dec. 2023
Sanjiv Kumar Auburn University Dec. 2025
Sarah Larson North Carolina State University Dec. 2026
Dan Li Boston University Dec. 2026
Erin Towler National Center for Atmospheric Research Dec. 2024
Baoqiang Xiang NOAA Geophysical Fluid Dynamics Laboratory/UCAR Dec. 2025


Terms of Reference

  • Review, prioritize, and coordinate US research plans to understand predictability of the oceans and climate on sub-seasonal, seasonal-to-interannual, decade-to-century and longer time scales.
  • Advise US CLIVAR on research priorities, gaps, and milestones to advance ocean and climate predictions and projections through improved evaluation, and better quantification and communication of skill and uncertainty.
  • Advocate for new funding opportunities and national and international activities to advance in prediction and predictability research, understand user needs, and develop decision support capabilities.
  • Coordinate US CLIVAR efforts to communicate with operational and decision-making communities on improved understanding of ocean and climate phenomena and predictability and on implementation of this understanding in their activities.
  • Liaise with other US CLIVAR panels and Working Groups to ensure predictability, prediction, and applications are part of their efforts.