
Current and Emerging Developments in Subseasonal to Decadal Prediction
Weather and climate variations on subseasonal to decadal time scales can have enormous social, economic, and environmental impacts, making skillful predictions on these time scales a valuable tool for decision-makers. As such, there is a growing interest in the scientific, operational, and applications communities in Read more “Current and Emerging Developments in Subseasonal to Decadal Prediction”