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High Resolution Coupled Model Development and Research at GFDL

This research at GFDL focuses on developing high-resolution coupled climate models, such as CM2.4, CM2.5, and CM2.6. These models aim to improve our understanding of climate variability and predictability by refining physical processes and reducing biases. The initiative seeks to explore the ocean's critical role in climate dynamics and enhance forecasting capabilities for temperature and precipitation patterns across the U.S., particularly for extreme weather events like droughts and floods. Enhanced data sets will support the analysis of weather-climate connections between tropical and mid-latitude regions.

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High Resolution Coupled Model Development and Research at GFDL

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  1. High Resolution Coupled Model Development and Research at GFDL Whit Anderson Ron Pacanowski Tom Delworth Tony Rosati Riccardo Farneti Gabriel Vecchi Hyun-Chul Lee Andrew Wittenberg Rym Msadek Fanrong Zhang Rong Zhang Hi-Res Atmos Group

  2. High Resolution Model development Scientific Goals: Simulated variability and predictability is likely a function of the model Developing improved models (higher resolution, improved physics, reduced bias) is crucial for studies of variability and predictability Explore ocean’s role in climate variability and change using a high resolution coupled model. New global coupled models: CM2.4, CM2.5, CM2.6 2

  3. Observed rainfall GFDL CM2.1 2° Atmosphere 1° Ocean

  4. Observed rainfall GFDL CM2.1 2° Atmosphere 1° Ocean GFDL CM2.3 1° Atmosphere 1° Ocean

  5. Observed rainfall GFDL CM2.1 2° Atmosphere 1° Ocean GFDL CM2.3 1° Atmosphere 1° Ocean GFDL CM2.4 1° Atmosphere 1/4° Ocean

  6. Observed rainfall GFDL CM2.1 2° Atmosphere 1° Ocean GFDL CM2.3 1° Atmosphere 1° Ocean GFDL CM2.4 1° Atmosphere 1/4° Ocean GFDL CM2.5 1/2° Atmosphere 1/4° Ocean

  7. Weather <--> Climate Connection • Improved regional forecast capabilities of U.S. temperatures and precipitation from a week to a season. • Climate prediction capabilities for high-impact events, including droughts and major floods. • Enhanced data sets and analyses to identify and interpret weather-climate connections between the tropics and mid-latitudes. • Improve understanding and predictions of connections between climate variations and high impact weather phenomena (droughts, floods)‏

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