Researchers funded in part by the Climate Variability & Predictability (CVP) program showcase the potential for machine learning applications for ocean climate models.
“From using machine learning to develop critical atmospheric datasets to creating an experimental system for rapidly assessing causes of extreme events, these new awards will expedite climate science discoveries and build the library of resilience solutions needed to protect all sectors of our economy and environment.”
According to the study, a ‘new’ Arctic climate, one with less sea ice, higher temperatures, and longer rainy seasons, will emerge by 2100.
The study, published in Nature, tracked the consecutive days that the atmosphere resides in a particular pattern associated with extreme temperatures and precipitation and found that these patterns are occurring more often as the Arctic warms faster than the mid-latitudes.
Variations in the amount of precipitation that feeds the Amazon River, ranked as the world’s largest river in terms of annual discharge, can profoundly impact the marine ecosystem in the region where the fresh river water enters the salty ocean (Amazon plume region) and influence the hydroclimate over the tropical Atlantic.
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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