A14D:
Multiscale Modeling of the Atmosphere I (Half Session)

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Session ID#: 18191

Session Description:
Atmospheric phenomena operate across a wide spectrum of scales, ranging from thousands of kilometers to a handful of meters. The ability to model finer scales appropriately has been shown to produce better representations of atmospheric states. While computing power has increased greatly over the past few decades, simulating the global atmosphere at high resolution remains burdensome. However, novel techniques, such as variable-resolution modeling, adaptive mesh refinement, and the multiscale modeling framework, are helping to improve regional representations of the atmosphere in addition to providing more physically realistic interactions between various atmospheric scales. This session seeks contributions regarding the development or application of multi-scale techniques for simulating the atmosphere as well as studies uncovering and addressing sensitivities arising from the response of model physics and dynamics to multiple resolutions. Applications of multiscale models to understand teleconnections across scales, as well as the climate response to anthropogenic forcings, are also encouraged.
Primary Convener:  Colin M. Zarzycki, National Center for Atmospheric Research, Climate & Global Dynamics Laboratory, Boulder, CO, United States
Conveners:  Sang-Hun Park, Yonsei University, Dept. Atmospheric Sciences, Seoul, CO, South Korea, L. Ruby Leung, Pacific Northwest National Laboratory, Atmospheric Sciences and Global Change Division, Richland, WA, United States and Chun Zhao, Pacific Northwest National Laboratory, Richland, WA, United States
Chairs:  Chun Zhao, Pacific Northwest National Laboratory, Richland, WA, United States, L. Ruby Leung, Pacific Northwest National Laboratory, Atmospheric Sciences and Global Change Division, Richland, WA, United States, Sang-Hun Park, Yonsei University, Dept. Atmospheric Sciences, Seoul, CO, South Korea and Colin M. Zarzycki, National Center for Atmospheric Research, Climate & Global Dynamics Laboratory, Boulder, CO, United States
OSPA Liaison:  Colin M. Zarzycki, National Center for Atmospheric Research, Climate & Global Dynamics Laboratory, Boulder, CO, United States
Index Terms:

0545 Modeling [COMPUTATIONAL GEOPHYSICS]
0550 Model verification and validation [COMPUTATIONAL GEOPHYSICS]
3337 Global climate models [ATMOSPHERIC PROCESSES]
3355 Regional modeling [ATMOSPHERIC PROCESSES]

Abstracts Submitted to this Session:

Coaxing explicit marine stratocumulus into an “ultraparameterized” CESM (Invited) (120219)
Mike S Pritchard, NVIDIA Corporation, NVIDIA Research, Santa Clara, United States
The Effects of High-Resolution Surface Fluxes on the Hydrologic Cycle Over the Oceans as Simulated by SP-CAM (163536)
Prof. David A Randall, Colorado State University, Fort Collins, United States, A Scott Denning, Colorado State University, Department of Atmospheric Science, Fort Collins, CO, United States, Mark Branson, Colorado State University, Fort Collins, CO, United States, Charlotte A DeMott, Colorado State University, Atmospheric Science, Fort Collins, CO, United States and Ann Casey O'Neill Hughes, Wofford College, Spartanburg, SC, United States
Understanding the resolution dependence of precipitation statistical fidelity in hindcast simulations (Invited) (120868)
Travis Allen O'Brien1,2, William Drew Collins3,4, Sara Rauscher5, Karthik Kashinath6, Oliver Rübel7, Suren Byna7, Junmin Gu8, Hari Krishnan8 and Paul Aaron Ullrich9,10, (1)Lawrence Berkeley National Lab, Climate & Ecosystem Sciences Division, Berkeley, United States, (2)University of California Davis, Land, Air and Water Resources, Davis, CA, United States, (3)Lawrence Berkeley National Laboratory, Earth and Environmental Science, Berkeley, CA, United States, (4)University of California, Earth and Planetary Sciences Department, Berkeley, CA, United States, (5)University of Delaware, Newark, DE, United States, (6)NVIDIA Corporation, Santa Clara, CA, United States, (7)Lawrence Berkeley National Laboratory, Computational Research Division, Berkeley, CA, United States, (8)Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (9)University of California Davis, Davis, United States, (10)Lawrence Berkeley National Laboratory, Berkeley, United States

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