Cover photo for AGU S2S Prediction Task Force Special Collection. Credit: Andrea Lang (U. of Albany)
MAPP’s Subseasonal-to-Seasonal (S2S) Prediction Task Force leads (Elizabeth Barnes, Edmund Chang, Paul Dirmeyer, Andrea Lang, and Kathleen Pegion) have organized an AGU special collection titled “Bridging Weather and Climate: Subseasonal-to-Seasonal (S2S) Prediction.” The collection is being published in the Journal of Geophysical Research-Atmospheres and Geophysical Research Letters. The MAPP Program task forces bring together researchers and scientists from universities, labs, and operational centers to leverage community-wide research and transition activities in high-priority areas, such as S2S predictions. The S2S Prediction Task Force’s goal is to help close the gap in prediction skill and products between traditional weather and seasonal lead times. The collective efforts of individual projects are synthesized through technical reports, review articles, and journal special collections such as this one. Submission to the collection was open to the entire international S2S community until June 30, 2019. Currently, the collection includes 25 published research papers, not including those still in review. The collection represents an important milestone in S2S prediction research.
The Modeling, Analysis, Predictions, and Projections (MAPP) Program is a competitive research program in NOAA Research’s Climate Program Office. MAPP’s mission is to enhance the Nation’s and NOAA’s capability to understand, predict, and project variability and long-term changes in Earth’s system and mitigate human and economic impacts. To achieve its mission, MAPP supports foundational research, transition of research to applications, and engagement across other parts of NOAA, among partner agencies, and with the external research community. MAPP plays a crucial role in enabling national preparedness for extreme events like drought and longer-term climate changes. For more information, please visit www.cpo.noaa.gov/MAPP.