A31J:
Weather and Climate Modeling Across Scales: From Global to Convective-Permitting II Posters

Submit an Abstract to this Session



Session ID#: 31469

Session Description:
The earth system operates across a wide spectrum of scales, ranging from thousands of kilometers to a handful of meters. In recent years, increasing computer power has enabled at least limited simulations at very high horizontal resolution, where convective parameterizations are no longer needed and topographically forced flows are for the most part resolved. At the same time, novel techniques such as variable-resolution modeling, adaptive mesh refinement, and the multiscale modeling framework, are helping to enable long-term and operational simulations with the benefits of high resolution.

This session seeks contributions regarding the development or application of experimental high-resolution simulations and multi-scale techniques for studying the weather and climate, such as the impact of climate change on processes at local scales (e.g., hydrology and ecosystems) as well as teleconnections across scales. We also invite papers addressing sensitivities arising from the response of model physics and dynamics to multiple resolutions.

Primary Convener:  Roy Rasmussen, University Corporation for Atmospheric Research, Boulder, CO, United States
Conveners:  Koichi Sakaguchi, Pacific Northwest National Laboratory, Atmospheric Sciences and Global Change, Richland, WA, United States, Colin M. Zarzycki, National Center for Atmospheric Research, Climate & Global Dynamics Laboratory, Boulder, CO, United States and Chun Zhao, University of Science and Technology of China, Hefei, China
Chairs:  Koichi Sakaguchi, Pacific Northwest National Laboratory, Atmospheric Sciences and Global Change, Richland, WA, United States and Colin M. Zarzycki, National Center for Atmospheric Research, Climate & Global Dynamics Laboratory, Boulder, CO, United States
OSPA Liaison:  Koichi Sakaguchi, Pacific Northwest National Laboratory, Atmospheric Sciences and Global Change, Richland, WA, United States
Index Terms:

0550 Model verification and validation [COMPUTATIONAL GEOPHYSICS]
3314 Convective processes [ATMOSPHERIC PROCESSES]
3337 Global climate models [ATMOSPHERIC PROCESSES]
3355 Regional modeling [ATMOSPHERIC PROCESSES]

Abstracts Submitted to this Session:

Modeling Extreme Precipitation over East China with a Global Variable-Resolution Modeling Framework (MPAS) (259441)
Chun Zhao, University of Science and Technology of China, Hefei, China, Mingyue Xu, University of Science and Technology of China, School of Earth and Space Sciences, Hefei, China, Yu Wang, University of Toronto, Civil Engineering, Toronto, ON, Canada, Jianping Guo, CAMS Chinese Academy of Meteorological Sciences, Beijing, China, Zhiyuan Hu, LZU Lanzhou University, Lanzhou, China, Leung Ruby, Pacific Northwest National Laboratory, Richland, WA, United States, Michael Duda, National Center for Atmospheric Research, Mesoscale and Microscale Meteorology Laboratory, Boulder, CO, United States and William C Skamarock, National Center for Atmospheric Research, Boulder, CO, United States
Microphysical Sensitivity of Precipitation Extremes in the Continental US Using a Super-Parameterized Community Atmosphere Model (CAM) (281143)
Alexander Benedict Charn, University of California Berkeley, Berkeley, CA, United States, William Drew Collins, Berkeley Lab and UC Berkeley, Berkeley, United States and Hossein Parishani, University of California Irvine, Department of Earth System Science, Irvine, CA, United States
Update of global TC simulations using a variable resolution non-hydrostatic model  (299980)
Sang-Hun Park, Yonsei University, Dept. Atmospheric Sciences, Seoul, CO, South Korea
Regional Community Climate Simulations with variable resolution meshes in the Community Earth System Model (214669)
Andrew Gettelman1, Colin M. Zarzycki2 and Patrick Callaghan1, (1)National Center for Atmospheric Research, Boulder, CO, United States, (2)National Center for Atmospheric Research, Climate & Global Dynamics Laboratory, Boulder, CO, United States
The Impact of Varying the Physics Grid Resolution Relative to the Dynamical Core Resolution in CAM-SE-CSLAM (244345)
Adam Ross Herrington1, Peter Hjort Lauritzen2 and Kevin A Reed1, (1)Stony Brook University, Stony Brook, NY, United States, (2)National Center for Atmospheric Research, Climate and Global Dynamics, CGD, Boulder, United States
Progress in the Development of a Global Quasi-3-D Multiscale Modeling Framework (245290)
Joonhee Jung, Colorado State University, Department of Atmospheric Science, Fort Collins, CO, United States, Celal S Konor, Colorado State University, Atmospheric Science, Fort Collins, CO, United States and Prof. David A Randall, Colorado State University, Fort Collins, United States
Capturing Multiscale Phenomena via Adaptive Mesh Refinement (AMR) in 2D and 3D Atmospheric Flows (263811)
Jared O Ferguson, University of Michigan, Ann Arbor, MI, United States, Christiane Jablonowski, University of Michigan, Department of Climate and Space Sciences and Engineering, Ann Arbor, United States, Hans Johansen, Lawrence Berkeley National Laboratory, Berkeley, CA, United States, Peter McCorquodale, Lawrence Berkeley National Lab, Berkeley, CA, United States, Paul Aaron Ullrich, Lawrence Berkeley National Laboratory, Berkeley, United States, Wolfgang Langhans, Berkeley Lab, Berkley, CA, United States and William Drew Collins, Berkeley Lab and UC Berkeley, Berkeley, United States
A non-hydrostatic global atmospheric model on a cubed sphere grid : 2017 update (248097)
Song-You Hong1, Young-Cheol Kwon2, Kyung-Hee Seol2, Suk-Jin Choi3, In-Hyuk Kwon3, Tae-Hun Kim3, Eun-Hee Lee3, Rae-Seol Park4, Dong-Il Kim4 and Jung-Eun Kim4, (1)University of Colorado/CIRES and NOAA Physical Sciences Laboratory, Boulder, United States, (2)KIAPS Korea Insititute of Atmospheric Prediction Systems, Seoul, Korea, Republic of (South), (3)KIAPS Korea Insititute of Atmospheric Prediction Systems, Seoul, South Korea, (4)KIAPS, Seoul, South Korea
A Non-hydrostatic Atmospheric Model for Global High-resolution Simulation (222455)
Xindong Peng, State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China; School of the Atmospheric Sciences, Chengdu University of Information Technology, Chengdu, China and Xiaohan Sally Li, Princeton University, Princeton, United States

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