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AGU 2020: A112: Weather and Climate Modeling Across Scales: From Global to Convection-Permitting

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Dear WRF/MPAS community colleagues,

It's again the time of year for submitting abstracts to the AGU fall meeting.

On behalf of conveners, I would like to draw your attention to the following AGU Fall Meeting session, particularly those working with regionally refined meshes, multiscale interactions in the atmosphere/climate system, exploiting convective-permitting meshes, or comparing atmospheric processes across resolutions. AGU abstracts are due *Wednesday, July 29.*

*A112: Weather and Climate Modeling Across Scales: From Global to Convection-Permitting*

Atmospheric processes operate across a wide spectrum of scales, ranging from thousands of kilometers to a handful of meters. Continuing increases in computing power have enabled models to resolve smaller scales of motion, either globally or regionally, at climate time scales. The ability to model smaller scales appropriately has been shown to improve simulations of convection, severe storms, orographic forcing, and their upscale effects to the large-scale circulation.

This session seeks contributions regarding the development or application of high-resolution simulations and multi-scale techniques for investigating weather and climate, such as the impact of climate change on processes at local scales (e.g., precipitation, hydrology, and ecosystems) and teleconnections across scales. We strongly encourage abstracts containing research related to variable resolution, non-hydrostatic modeling, or multiscale modeling framework techniques. We also invite papers addressing sensitivities arising from the responses of model physics and dynamics to multiple resolutions.

Session ID: 102453
Session Title: A112 - Weather and Climate Modeling Across Scales: From Global to Convection-Permitting
Section: Atmospheric Sciences
View Session Details:

Invited speakers:
Dr. Christoph Schär, ETH Zürich
Dr. Hilary Weller, University of Reading

Primary Convener
Bryce E Harrop
Pacific Northwest National Laboratory

Guangxing Lin
Pacific Northwest National Laboratory
Roy Rasmussen
Colin M. Zarzycki
Pennsylvania State University

Best regards,
Koichi Sakaguchi, Pacific Northwest National Laboratory