Two new datasets, funded in part by NOAA Research’s Modeling, Analysis, Predictions, and Projections (MAPP) Program, now provide easy public access to 60 terabytes of climate forecasts containing predictions of rainfall, temperature, winds and other variables at the subseasonal level (two weeks to two months ahead).
New research, funded by CPO's Modeling, Analysis, Predictions, and Projections (MAPP) program, shows that the polar vortex has shifted towards more frequent weak states and fewer strong states over the past few decades, with subsequent cold extremes seen during Eurasian winters.
As an important milestone for NOAA’s ongoing efforts, researchers from universities, NOAA OAR research laboratories and the National Weather Service (NWS) recently met to discuss efforts to improve S2S predictions.
The NOAA CPO Modeling, Analysis, Predictions, and Projections (MAPP) program hosted a webinar on research on the topic of Harvey and Irma: Prediction Across Timescales on Thursday, September 28, 2017.
The NOAA CPO Modeling, Analysis, Predictions, and Projections (MAPP) program hosted a webinar on research on the topic of Harvey and Irma: Attribution, Precipitation, and Flooding on Wednesday, September 27, 2017.
Oceanic and Atmospheric Research (OAR)
National Oceanic and Atmospheric Administration (NOAA)
Department of Commerce
Climate Program Office
1315 East-West Hwy, Suite 1100 Silver Spring, MD 20910
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. In 2011, the United States experienced a record high number (14) of climate- and weather-related disasters where overall costs reached or exceeded $1 billion. Combined, these events claimed 670 lives, caused more than 6,000 injuries, and cost $55 billion in damages. Businesses, policy leaders, resource managers and citizens are increasingly asking for information to help them address such challenges.
Copyright 2017 by NOAA
NOAA Privacy Statement|
Web Accessibility Statement|
Disclaimer for External Links|
U.S. Department of Commerce|