IN33A:
Supercomputing for Geoscience: Success Stories from Yellowstone and Other Petascale Systems II Posters

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Session ID#: 13305

Session Description:
Geoscience has advanced dramatically in the past 50 years by exploiting supercomputers. For example, the Yellowstone supercomputer has been exclusively dedicated to the geosciences, and has contributed two billion core hours to help scientists answer questions about the solar dynamo and photosphere, learn about climate predictability and make predictions of future climate, understand turbulence, and study space and global weather. Yellowstone is operated by the National Center for Atmospheric Research with funding from the National Science Foundation, and has served a global community of 2,500 space physicists, climate dynamics researchers, mesoscale meteorologists, and geologists. This session illustrates the value of high performance computing resources dedicated to geoscience, showcasing computational advances in understanding anthropogenic climate change and associated impacts, in modeling the Sun and predicting coronal mass ejections, in improving severe weather forecasts, and in finding new sources of energy, and looks at how future supercomputers might inform scientific discovery.
Primary Convener:  James W Hurrell, Colorado State University, Atmospheric Science, Fort Collins, CO, United States
Conveners:  James L Kinter, George Mason University Fairfax, Atmospheric, Oceanic and Earth Sciences, Fairfax, VA, United States, Douglas W Nychka, Colorado School of Mines, Applied Mathematics and Statistics, Golden, United States and Marijke Unger, National Center for Atmospheric Research, Boulder, CO, United States
Chairs:  James L Kinter, George Mason University Fairfax, Atmospheric, Oceanic and Earth Sciences, Fairfax, VA, United States, Marijke Unger, National Center for Atmospheric Research, Boulder, CO, United States and James W Hurrell, Colorado State University, Atmospheric Science, Fort Collins, CO, United States
OSPA Liaison:  Marijke Unger, National Center for Atmospheric Research, Boulder, CO, United States

Cross-Listed:
  • A - Atmospheric Sciences
  • GC - Global Environmental Change
  • P - Planetary Sciences
  • SH - SPA-Solar and Heliospheric Physics
Index Terms:

0560 Numerical solutions [COMPUTATIONAL GEOPHYSICS]
1952 Modeling [INFORMATICS]
3337 Global climate models [ATMOSPHERIC PROCESSES]
7513 Coronal mass ejections [SOLAR PHYSICS, ASTROPHYSICS, AND ASTRONOMY]

Abstracts Submitted to this Session:

A global high-resolution model experiment on the predictability of the atmosphere (126492)
Falko Judt, National Center for Atmospheric Research, Boulder, United States
Using NCAR Yellowstone for PhotoVoltaic Power Forecasts with Artificial Neural Networks and an Analog Ensemble  (134093)
Guido Cervone1, Laura Clemente-Harding2, Stefano Alessandrini3 and Luca Delle Monache3, (1)Pennsylvania State University Main Campus, Department of Geography and Institute for Computational and Data Sciences, University Park, PA, United States, (2)Pennsylvania State University Main Campus, University Park, PA, United States, (3)National Center for Atmospheric Research, Boulder, CO, United States
Advances and issues from the simulation of planetary magnetospheres with recent supercomputer systems (146646)
Keiichiro Fukazawa1, Raymond J Walker2, Tomoki Kimura3, Fuminori Tsuchiya4, Go Murakami5, Hajime Kita4, Chihiro Tao6 and Ken Takeshi Murata7, (1)Academic Center for Computing and Media Studies, Kyoto University, Kyoto, Japan, (2)University of California Los Angeles, Department of Earth, Planetary, and Space Sciences, Los Angeles, CA, United States, (3)RIKEN, Wako, Japan, (4)Tohoku University, Sendai, Japan, (5)Japan Aerospace Exploration Agency, Kanagawa, Japan, (6)IRAP, Toulouse, France, (7)Shinshu University, Nagano, Japan
Spatiotemporal Categorical Map Fusion (SCaMF) – A methodology to fuse multiple categorical maps in space and time using parallel computing (149116)
Nicolas Rodriguez Jeangros1, Amanda S Hering1, Timothy Kaiser1 and John E McCray2, (1)Colorado School of Mines, Golden, CO, United States, (2)Colorado School of Mines, Civil and Environmental Engineering, Golden, CO, United States
Addressing model uncertainty through stochastic parameter perturbations within the High Resolution Rapid Refresh (HRRR) ensemble (152029)
Jamie Wolff1, Isidora Jankov2, Jeff Beck3, Laurie Carson1, James Frimel3, Michelle Harrold4 and Hongli Jiang3, (1)National Center for Atmospheric Research, Developmental Testbed Center, Boulder, CO, United States, (2)Colorado State University, Cooperative Institute for Research in the Atmosphere, Fort Collins, CO, United States, (3)Cooperative Institute for Research in the Atmosphere, Fort Collins, CO, United States, (4)NCAR, RAL, Boulder, United States
Scalable and memory efficient implementations of the multi-resolution approximation for spatial data (158577)
Dorit Hammerling, National Center for Atmospheric Research, Institute for Mathematics Applied to Geosciences, Boulder, CO, United States, Vinay Bharadwaj Ramakrishnaiah, University of Wyoming, Laramie, WY, United States, Raghu Raj Prasanna Kumar, National Center for Atmospheric Research, Boulder, CO, United States and Matthias Katzfuss, Texas A&M University, Statistics, College Station, TX, United States
Applications of New Surrogate Global Optimization Algorithms including Efficient Synchronous and Asynchronous Parallelism for Calibration of Expensive Nonlinear Geophysical Simulation Models. (171858)
Christine A Shoemaker1, Min Pang2, Taimoor Akhtar2 and David Bindel2, (1)National University of Singapore, Singapore, Singapore, (2)Cornell University, Ithaca, NY, United States
NCI HPC Scaling and Optimisation in Climate, Weather, Earth system science and the Geosciences (197097)
Benjamin James Kingston Evans1, Ilia Bermous2, Justin Freeman2, Dale S Roberts3, Marshall L Ward3 and Rui Yang3, (1)Australian National University, Canberra, ACT, Australia, (2)Bureau of Meteorology, Melbourne, Australia, (3)Australian National University, Canberra, Australia

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