Bridging the Weather-Climate Prediction Skill Gap with a Multi-Model Experiment 18 December 2019

Bridging the Weather-Climate Prediction Skill Gap with a Multi-Model Experiment

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. 

MAPP Program efforts helped advance understanding of tropical cyclone subseasonal variability and predictability 2 October 2019

MAPP Program efforts helped advance understanding of tropical cyclone subseasonal variability and predictability

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

MAPP’s S2S Prediction Task Force Announces AGU Special Collection on S2S Research 28 June 2019

MAPP’s S2S Prediction Task Force Announces AGU Special Collection on S2S Research

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.

The Madden-Julian Oscillation’s Impacts on Our Weather Depend on its Phase and Lifecycle Characteristics 7 May 2019

The Madden-Julian Oscillation’s Impacts on Our Weather Depend on its Phase and Lifecycle Characteristics

The Madden-Julian Oscillation (MJO) is responsible for major shifts in tropical weather on weekly and monthly timescales with impacts around the earth.

Predicting Regional Surface Temperatures Using Stratospheric Ozone Information 5 April 2019

Predicting Regional Surface Temperatures Using Stratospheric Ozone Information

Stratospheric ozone information is consistently measured to a high degree of accuracy and can now be used for seasonal forecasting in North America which has major applications such as informing public health and agricultural decisions.

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