A077
High resolution climate modeling on large supercomputers
High resolution climate modeling on large supercomputers
Session ID#: 75786
Session Description:
High resolution climate modeling offers significant opportunities for improving the quality of simulations. This is particularly relevant for modeling of water cycle processes and extreme events which are inherently multiscale and have important societal implications. Increase in model resolution and complexity presents significant challenges on many fronts. These include evaluation, diagnosis, and analysis of model simulations and predictions, model initialization and data assimilation, uncertainty quantification, and computational performance. This session aims to bring together scientists who develop, run, evaluate, and analyze atmosphere models, ocean models, and coupled models of climate and Earth systems at high resolution as well as scientists who enable these models to run efficiently on high performance computing architectures. This session also encourages presentations on high resolution simulations from model intercomparison projects such as HighResMIP, DYAMOND, and OMIP, as well as development of observational datasets and metrics for evaluation of high resolution simulations.
Index Terms:
1622 Earth system modeling [GLOBAL CHANGE]
1627 Coupled models of the climate system [GLOBAL CHANGE]
1655 Water cycles [GLOBAL CHANGE]
3337 Global climate models [ATMOSPHERIC PROCESSES]
Primary Convener: L. Ruby Leung, Pacific Northwest National Laboratory, Richland, WA, United States
Conveners: Pier Luigi Vidale, NCAS Climate, Department of Meteorology, University of Reading, Reading, United Kingdom, Malcolm J Roberts, Met Office Hadley center for Climate Change, Exeter, United Kingdom and Rein Haarsma, Royal Netherlands Meteorological Institute, De Bilt, Netherlands
Primary Liaison: Gokhan Danabasoglu, National Center for Atmospheric Research, Boulder, CO, United States
See more of: Atmospheric Sciences
