Panels

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 U.S. and international climate science and applications communities.

 

Predictability, Predictions and Applications Interface (PPAI) Panel
Member name Institution Term through
Bruce Anderson, co-chair Boston University Dec. 2014
Arun Kumar, co-chair NOAA National Centers for Environmental Prediction Dec. 2013
Annalisa Bracco Georgia Institute of Technology Dec. 2013
Tony Barnston Columbia University/International Research Institute for Climate and Society Dec. 2014
Judah Cohen Atmospheric and Environmental Research/Massachusetts Institute of Technology Dec. 2014
Curtis Deutsch University of California, Los Angeles Dec. 2013
Joshua Xiouhua Fu University of Hawaii Dec. 2013
Gregg Garfin University of Arizona Dec. 2013
Yoo-Geun Ham Universities Space Research Association/NASA Goddard Space Flight Center
Dec. 2015
Hyemi Kim Stony Brook University Dec. 2015
Ron Lindsay University of Washington Dec. 2013
Kathy Pegion University of Colorado/NOAA Earth System Research Laboratory Dec. 2015
Andrea Ray NOAA Earth System Research Laboratory Dec. 2015
Cristiana Stan Center for Ocean-Land-Atmosphere Studies Dec. 2013
Liqiang Sun Cooperative Institute for Climate and Satellites/North Carolina State University Dec. 2013

 

Terms of Reference

  • Review, prioritize, and coordinate U.S. plans to characterize predictability, and demonstrate improved prediction capabilities, on sub-seasonal, seasonal, S-I, decadal, and century and longer time scales as necessary to achieve the goals of CLIVAR.
  • Interface with agency and CCSP activities and groups (e.g. NOAA-NMFS, IRI, and RISAs; NASA-RESACs, RACs, and ESIPs) to identify user requirements for useful climate information, improve the communication of these requirements, and encourage development of appropriate tools and approaches for improved decision support capabilities.
  • Coordinate U.S. efforts to insure advances in prediction research have appropriate connections and pathways into operational forecast system development.
  • Develop and encourage mechanisms (e.g. community workshops, commissioned studies, Working Groups) to further the development and implementation of a research strategy, including filling gaps. Advise on the adequacy and effectiveness of Working Group plans and their implementation.
  • Advise U.S. CLIVAR on research priorities, identify research gaps, and develop suitable milestones to promote funding opportunities. Help foster and coordinate joint agency participation and support of relevant activities.
  • Publicize accomplishments and demonstrated progress in research leading to improved prediction capabilities and applications of prediction information.
  • Coordinate with other national and international activities to develop integrated, efficient, and effective overall international plans and activities.
  • Liaise with other U.S. CLIVAR panels and Working Groups to insure prediction is considered in their efforts.