U.S. National Multi-Model Ensemble ISI Prediction System

Lead PI: Dr. Michael K. Tippett , Mr. Anthony G. Barnston
Unit Affiliation: International Research Institute for Climate and Society (IRI)
August 2012 - November 2012
Inactive
Global
Project Type: Research

DESCRIPTION: The project will collaboratively work to produce a multimodel ensemble prediction system to improve operational forecast skill an intraseasonal to interannual time scales and provide real-time forecast and research data.

OUTCOMES: So far the team has: performed deterministic and probabilistic skill verification of NMME seasonal forecasts. It turns out that the NMME is more accurate than other models.

SPONSOR: National Oceanic & Atmospheric Administration/Department of Commerce
RESEARCH TEAM: Anthony Rosati, Kathy Pegion, Siegfried Schubert, Michele Reinecker, Max Suarez, Huug van den Dool, Malaquias Pena Mendez, Jin Huang, Scott Weaver, Joe Tribbia, Eric Wood
EXTERNAL COLLABORATORS: University of Miami; National Oceanic and Atmospheric Administration; National Aeronautics and Space Administration; National Centers for Environmental Prediction; National Center for Atmospheric Research

KEYWORDS

THEMES

Modeling and Adapting to Future Climate

Research Projects

U.S. National Multi-Model Ensemble ISI Prediction System

SPONSOR:

RESEARCH TEAM:

EXTERNAL COLLABORATORS:

KEYWORDS

THEMES

RELATED PROJECTS

Keyword: climate