A recent study published in Nature Communications Earth & Environment suggests that summertime low clouds play an important role in driving sea ice melt.
Artificial intelligence (AI) and machine learning experts report on the state of the science of AI post-processing of weather and climate model output and recommend a set of methods and data that can allow the community to move forward.
Accurately simulating summertime large-scale circulation, as well as the cloud response to circulation, is a critical step toward increasing the reliability of seasonal sea ice forecasts and the rate of future sea ice loss.
CPO’s Climate Variability & Predictability (CVP) program funded research which contributed the newest edition of The Multiscale Global Monsoon System, part of the World Scientific Series on Asia-Pacific Weather and Climate.
This study analyzes the year-to-year variability of the MJO propagation speed (how fast it moves across the Indo-Pacific region) by analyzing a century-long historical dataset, providing further insights into the fundamental physics regulating MJO propagation.
Americans’ health, security and economic wellbeing are tied to climate and weather. Every day, we see communities grappling with environmental challenges due to unusual or extreme events related to climate and weather.
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