Researchers have for years been working to tackle the subseasonal to seasonal (S2S) prediction problem to improve forecasts. The Subseasonal Experiment, SubX, is an interagency research-to-operations project designed to help tackle this problem. The results of the project were recently published in BAMS. 

A new review paper describes how MAPP-funded and organized work has contributed to recent progress in understanding tropical cyclones.

Since 2016, the Subseaonal-to-Seasonal (S2S) Task Force has been focusing efforts on bridging the skill gap between weather and seasonal prediction lead times. Publication of this special collection represents an important milestone for the group.

An EOS project update on the MAPP S2S Prediction Task Force has been published. A task force of researchers set out to bridge the gap between the 2-week weather forecast and long-term climate predictions; their findings could help in forecasting the likelihood of extreme events.

A new study shows that though seasonal forecasts failed to predict the unusual California preciptation during the winters of 2015-16 and 2016-17, forecasts issued a month ahead -- within the subseasonal timescale and much further ahead than a normal weather forecast -- could have accurately predicted the abnormal winter rain.