The North American Multi-Model Ensemble (NMME), a seasonal prediction system that combines forecasts from the leading North American climate models, has completed transition to NWS operations.
Tropical storms like 2011’s Hurricane Irene experienced cooling in the coastal surface waters ahead of the eye of the hurricane, which reduced storm intensity, according to a CPO-funded study by Rutgers’ University Professor Scott Glenn and partners published in Nature Communications.
To supplement this effort, we will be holding a series of learning sessions to provide scientific and practical applied information re: the datasets on the dashboard. Information about the first session can be found by clicking on the article title.
On November 12, 2015, DfRR brought together an amazing group of speakers representing the broadest cross-section of professions involved in climate change to highlight both the short and long-term impacts of extreme heat and the risks we take if we fail to act. The committee organized panels and case studies in terms of scale, from the most global challenges to the most local opportunities. Conflicting and contrasting solutions were welcome, making for an oftentimes lively debate. The symposium also illuminated the unresolved and the yet-to-be-determined.
The NOAA CPO Modeling, Analysis, Predictions, and Projections (MAPP) program will host a webinar on the topic of Extreme Heat and Health: Creating Environmental Intelligence Through Science, Predictions, and Engagement on Thursday, April 28, 2016. The webinar is co-hosted by the National Integrated Heat Health Information System (NIHHIS), the Climate Variability and Predictability (CVP) program, the Climate Observations and Monitoring (COM) program, and the Regional Integrated Science and Assessments (RISA) program. The announcement is provided here.
In a recent paper published in Environmental Research Letters, scientists with NOAA and the University of Miami have identified how patterns in the spring phases of the El Niño-Southern Oscillation (ENSO), coupled with variability in North Atlantic sea surface temperatures, could help predict U.S. regional tornado outbreaks.