Advancing scientific understanding of climate, improving society’s ability to plan and respond
Advancing scientific understanding of climate, improving society’s ability to plan and respond
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.
Revisiting the Great Salinity Anomaly of the 1970s Read More »
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.
Subantarctic Stratification in Climate Models Controlled by Ocean Circulation Read More »
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.
Atmospheric Chemistry, Carbon Cycle, & Climate (AC4)-funded researchers determine acyl peroxynitrate, one possible result from nitrogen oxide (NOx) reacting in the atmosphere, can act as a NOx sink rather than a reservoir in rural and remote forested regions.
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.
Small-scale Matters for Large Water Masses in Labrador Sea Read More »
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.
Research funded by the Climate Variability & Predictability (CVP) program (i) reveals the physical processes that contribute to tropical cyclones’ larger average size in the western North Pacific vs. the North Atlantic and (ii) simulates Hurricane Irene to study the ocean surface boundary layer underneath the storm.
Two New Studies Published on Cyclone Size and Storm Turbulence Read More »
Researchers funded in part by AC4 have developed a fire prediction model which incorporates multiple machine learning algorithms to better predict areas burned by wildfire in the US south central region.
Climate Variability & Predictability (CVP)-funded research introduces a new approach for probabilistic seasonal forecasts of minimum sea ice cover in the Arctic.
New Method to Forecast Minimum Sea Ice Cover Read More »