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 winter.
| Member name | Institution | Term through |
|---|---|---|
| Jason Furtado, Co-chair | University of Oklahoma | March 2027 |
| Dillon Amaya, Co-chair | NOAA Physical Sciences Laboratory | March 2026 |
| John Albers | NOAA Physical Science Laboratory | March 2029 |
| Weston Anderson | University of Maryland | March 2027 |
| Marybeth Arcodia | Colorado State University | March 2028 |
| Sanjiv Kumar | Auburn University | March 2026 |
| Sarah Larson | North Carolina State University | March 2027 |
| Dan Li | Boston University | March 2027 |
| Kelsey Malloy | University of Deleware | March 2029 |
| Maria Janeth Molina | University of Maryland/NSF NCAR | March 2028 |
| Christine Shields | NSF NCAR | March 2029 |
| Baoqiang Xiang | NOAA Geophysical Fluid Dynamics Laboratory/UCAR | March 2026 |
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.