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
The Secretary of Commerce has awarded a Group Silver Medal for Personal and Professional Excellence to the North American Multi-Model Ensemble (NMME) team, which includes CPO’s Annarita Mariotti.
NMME team awarded Silver Award for Personal and Professional Excellence Read More »
The OAR/CPO Modeling, Analysis, and Predictions and Projections (MAPP) program, together with the National Weather Service/National Centers for Environmental Predictions (NWS/NCEP) Climate Prediction Center (CPC), will hold a workshop to explore advancing sub-seasonal forecasting as a follow-on to the North American Multi-Model Ensemble (NMME), a state-of-the-art prediction system.
NOAA’s Modeling, Analysis, Predictions, and Projections (MAPP) program awarded $1.8 million to support 10 new multi-year projects to help improve NOAA’s climate predictions from two weeks to a year in advance, including extreme conditions. These projects will contribute to the NOAA Climate Test Bed, aimed at accelerating research-based advances in climate prediction and transitioning new tools and techniques to NOAA’s operational services. MAPP is a part of the Climate Program Office, situated within NOAA’s Office of Oceanic and Atmospheric Research.
New NOAA research to improve prediction systems Read More »
Research by the North American Multi-Model Ensemble (NMME), “Phase-1 Seasonal to Interannual Prediction, Phase-2 Toward Developing Intra-Seasonal Prediction,” will be published in the April issue of the Bulletin of the American Meteorological Association.
North American Multi-Model Ensemble research published in BAMS Read More »
The NOAA CPO Modeling, Analysis, Predictions, and Projections (MAPP) program broadcasted a session from the Climate Diagnostics and Prediction Workshop hosted in parallel with the MAPP Climate Prediction Task Force meeting on the topic of the National Multi-Model Ensemble on Tuesday, October 22, 2013.