Climate Variability & Predictability (CVP)

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.

Research supported by the Climate Variability & Predictability (CVP) program challenges long-standing beliefs on what led to the development of the 1970s Great Salinity Anomaly and resulting shutdown of the Labrador Sea deep convection. 

Climate Variability & Predictability (CVP)-funded researchers find that a common Southern Ocean bias in CMIP5 climate models is due to errors in the simulated ocean circulation.

Better prediction of the Madden-Julian Oscillation (MJO) can lead to better prediction in related meteorological variables, such as precipitation. However, the relationship between MJO skill and the predictive potential for meteorological variables is complex, as this Climate Variability & Predictability (CVP)-supported study shows.

The large-scale summertime wave pattern over the western North Pacific has increased in intensity since 1950, according to researchers supported by CPO’s Climate Variability and Predictability (CVP) program using NCEP-NCAR reanalysis data. 

A study funded by the Climate Variability & Predictability (CVP) program, published in Nature Scientific Reports, is one of the first to focus on the cumulative effect of small-scale vortices on large-scale transport and distribution of heat, nutrients, and dissolved gases in the ocean.

Researchers funded by CPO’s Climate Variability & Predictability (CVP) program have developed a new statistical approach that simplifies detecting and describing differences in climate model outputs.