A research team supported by CVP produces a new modeling study to improve predictability of air-sea interactions of the Meiyu front, a meteorological zone which separates Arctic from tropical climatic zones in the Pacific Ocean.

Research funded by CPO's Climate Variability and Predictability program has been accepted for publication into Geophysical Research Letters. The paper, titled: "Stochastic forcing of north tropical Atlantic sea surface temperatures by the North Atlantic Oscillation," showed that NAO-generated forcing of SST during boreal winter and spring is responsible for more than half the statistically unpredictable component of SST in the main development region for Atlantic hurricanes during the subsequent summer and fall. 

The NOAA CPO Modeling, Analysis, Prediction, and Projections (MAPP) program will host a webinar on the topic of climate predictability and predictions on Tuesday, March 18. During this webinar, speakers will discuss the National Multi Model Ensemble, other subseasonal to seasonal prediction efforts, and predictability of Asian Summer monsoon precipitation. This work is relevant to ongoing activities of the NOAA Climate Prediction Task Force, which will also be discussed.