Mathematics and Computer Science & Environmental Research Divisions A R G O N N E N A T I O N A L L A B O R A T O R Y Regional Climate Regional Climate Simulation Simulation Analysis & Analysis & Vizualization Vizualization John Taylor Mathematics and Computer Science & Environmental Research Divisions Argonne National Laboratory USA A R G O N N E N A T I O N A L L A B O R A T O R Y
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Mathematics and Computer Science & Environmental Research Divisions ARGONNE NATIONAL LABORATORY Regional Climate Simulation Analysis & Vizualization John.
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Mathematics and Computer Science & Environmental Research DivisionsAR
Mathematics and Computer Science & Environmental Research DivisionsAR
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RY Enhanced Spatial ResolutionEnhanced Spatial Resolution
Increasing spatial resolution is essential to correctly simulate regional climate variability and change, which affects agriculture, water resources and energy consumption.
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ACPI Research PrioritiesACPI Research Priorities
Model development and evaluation– Atmosphere/ocean/land surface/sea ice components,
coupled models, process parameterizations, simulation design, algorithm development
Climate projections– Optimization of computer performance, multi-decade
ensemble simulations, archives of petabyte data sets, generation of probability distributions
Assessment and analysis of impacts– Policy evaluation, impacts research,
regional/national/international assessments, specialized tools and data sets, information dissemination
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70 km atmos15 km ocean
140 km atmos30 km ocean
30 km atmos9 km ocean
30 km atmos9 km ocean
30 km atmos9 km ocaan
70 km atmos15 km ocean
Global System Model Capability Global System Model Capability RoadmapRoadmap
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1 TF 5 TF 5 TF 40 TF
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RY ‘‘Hurricane Huron’Hurricane Huron’
An intense cutoff low developed over the Great Lakes region during the period 11-15 September 1996.
The system eventually developed an eye and spiral convection bands producing intense rainfall and wind speeds in excess of 75 mph
We have investigated the role of model resolution by performing identical ‘Hurricane Huron’ simulations at 80, 40, 20 and 10 km grid resolution
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RY Regional Climate Studies Regional Climate Studies
We have applied the MM5 model running on the ANL IBM-SP to simulate conditions at the ABLE site
ABLE data provide a basis for testing MM5 model performance
ABLE data are being used at ANL to improve the boundary layer parameterizations included in MM5 and other mesoscale meteorological models
Figure opposite shows vertical temperature differences between MM5 model and ABLE data from Beaumont, KS (37.63N & 96.5W)
The Atmospheric Boundary Layer Experiment (ABLE) study was designed to improve the current understanding of the physics of the boundary layer (RASS = Radio Acoustic Sounding System)
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