Novel data science approaches could drive advances in seasonal to sub-seasonal predictions of precipitation 25 November 2015

Novel data science approaches could drive advances in seasonal to sub-seasonal predictions of precipitation

Predictions at the seasonal to sub-seasonal scale are important for planning and decision-making in a variety of disciplines, and improving understanding and model skill at this timescale is a key research priority. An as yet underexplored approach to sub-seasonal prediction using data science and graph theory methods that are increasingly common to other fields outside of meteorology and climate science shows potential to improve predictions at this challenging timescale.

New MAPP-funded research assesses how changes in the tropical belt affect climate variability 21 October 2015

New MAPP-funded research assesses how changes in the tropical belt affect climate variability

New research funded by CPO’s Modeling, Analysis, Predictions, and Projections program resulted in a paper titled “Southward Shift of the Northern Tropical Belt from 1945 to 1980,” recently published in Nature Geoscience.
Comparing Two Generations of Climate Model Simulations and Projections of Regional Climate Processes for North America 9 October 2015

Comparing Two Generations of Climate Model Simulations and Projections of Regional Climate Processes for North America

A technical report produced by the NOAA CMIP5 Task Force analyzes how CMIP5--the latest generation of climate model simulations--compares to CMIP3 simulations and projections of regional climate processes for North America.

Advancing the North American Multi­-Model Ensemble Seasonal Prediction Capability 7 October 2015

Advancing the North American Multi­-Model Ensemble Seasonal Prediction Capability

NOAA’s Modeling, Analysis, Predictions, and Projections (MAPP) program has competitively chosen nine new one-year projects involving $545,427 in grants and $82,000 in other awards (for a total of $627,427) to evaluate and develop new applications for the North American Multi-Model Ensemble System (NMME), a state-of-the-art multi­-model seasonal prediction system currently in the process of transitioning to National Weather Service operations.

Advancing next-generation climate and Earth system models through process-oriented metrics 7 October 2015

Advancing next-generation climate and Earth system models through process-oriented metrics

NOAA’s Modeling, Analysis, Predictions, and Projections (MAPP) program has competitively chosen nine new three-year projects involving $3.9 million in grants and $900 thousand in other awards for a total of $4.8 million to develop process-oriented metrics for climate and Earth system model development.

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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.

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