The study, funded in part by CPO’s Climate Variability & Predictability (CVP) program, investigates the dynamic processes that influence submesoscale fronts in the Northwest Pacific subtropical counter-current (STCC) system. 

This work, funded by CPO’s Climate Variability & Predictability (CVP) program as part of NOAA’s contributions to the Tropical Pacific Observing System (TPOS) process studies, demonstrates how increasing the vertical resolution of ocean models can reduce commonly observed biases in the two regions.

This study, supported by Climate Variability & Predictability, is the first to study how surfactants impact sea spray in regards to cylcones, the understanding of which could help improve model microphysics, leading to better forecasts that are more likely to capture rapid intensification of cyclones.

Research supported by the Climate Variability & Predictability program suggests that a common proxy for understanding AMOC trends, sea surface temperature indices, are not the best choice at the centennial scale, opening the door for new indices to be developed.

Two new studies supported by the Climate Variability & Predictability (CVP) program offer data-driven insights into the Madden-Julian Oscillation (MJO), the dominant mode of tropical intraseasonal variability.