A33D:
High-Resolution Weather and Climate Modeling on Large Supercomputers II


Submit an Abstract to this Session


Session ID#: 58364

Session Description:
High resolution weather and 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 weather, 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 from coordinated high resolution modeling projects such as HighResMIP and DYAMOND, comparison of high resolution modeling approaches, and development of observational datasets and metrics for evaluation of high resolution simulations.
Primary Convener:  L. Ruby Leung, Pacific Northwest National Laboratory, Richland, WA, United States
Conveners:  Malcolm J Roberts, Met Office Hadley center for Climate Change, Exeter, United Kingdom, Pier Luigi Vidale, University of Reading, Department of Meteorology, and National Centre for Atmospheric Science (NCAS), Reading, RG6, United Kingdom and Gokhan Danabasoglu, National Center for Atmospheric Research, Climate and Global Dynamics, Boulder, United States
Primary Liaison:  L. Ruby Leung, Pacific Northwest National Laboratory, Richland, WA, United States
Chairs:  Malcolm J Roberts, Met Office Hadley center for Climate Change, Exeter, United Kingdom and Pier Luigi Vidale, University of Reading, Department of Meteorology, and National Centre for Atmospheric Science (NCAS), Reading, RG6, United Kingdom
OSPA Liaison:  Rein Haarsma, Royal Netherlands Meteorological Institute, De Bilt, Netherlands
Co-Organized with:
Atmospheric Sciences, and Ocean Sciences

Cross-Listed:
  • GC - Global Environmental Change
  • OS - Ocean Sciences

Proposed Co-Organized Session with:
  • GC - Global Environmental Change
  • OS - Ocean Sciences
Index Terms:

0545 Modeling [COMPUTATIONAL GEOPHYSICS]
1626 Global climate models [GLOBAL CHANGE]
3337 Global climate models [ATMOSPHERIC PROCESSES]
4255 Numerical modeling [OCEANOGRAPHY: GENERAL]

Abstracts Submitted to this Session:

Sub-Seasonal to Decadal Predictability and Prediction with an Ocean Eddy Resolving Coupled Model (Invited) (374738)
Benjamin P Kirtman, University of Miami, Rosenstiel School of Marine and Atmospheric Science, Miami, FL, United States
Sensitivity of Winter North Atlantic-European Climate to Resolved Atmosphere and Ocean Dynamics (372711)
Rein Haarsma1, Javier García-Serrano2, Chloé Prodhomme2 and Sybren S Drijfhout1, (1)Royal Netherlands Meteorological Institute, De Bilt, Netherlands, (2)University of Barcelona, Barcelona, Spain
The Impact of Horizontal Atmospheric Resolution in Modelling Air-sea Fluxes (391802)
Peili Wu, Hadley Centre Met Office, Exter, United Kingdom, Malcolm J Roberts, Met Office Hadley center for Climate Change, Exeter, United Kingdom, Gill Martin, Met Office, Hadley Centre for Climate Change, Exeter, United Kingdom, Pier Luigi Vidale, University of Reading, Department of Meteorology, and National Centre for Atmospheric Science (NCAS), Reading, RG6, United Kingdom, Xiaolong Chen, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China and Tianjun Zhou, Inst of Atmospheric Physics, Beijing, China
High-Resolution Modeling using E3SM (353486)
Peter Martin Caldwell, Lawrence Livermore National Laboratory, Livermore, CA, United States, Wuyin Lin, Brookhaven National Laboratory, Upton, NY, United States, Luke P Van Roekel, Los Alamos National Laboratory, Los Alamos, United States and Paul Aaron Ullrich, Lawrence Livermore National Laboratory, PCMDI, Livermore, CA, United States
High-resolution climate modelling: sensitivity of climate to atmosphere and ocean resolution. (Invited) (396600)
Justin Small, National Center for Atmospheric Research, Boulder, CO, United States
Global non-hydrostatic atmospheric model experiments for HighResMIP: Resolution dependency of tropical cyclones and impacts of improved physical package (427777)
Dr. Yohei Yamada1, Chihiro Kodama2, Satoh Masaki3, Tomoki Ohno4, Akira T Noda1, Hisashi Yashiro5, Masuo Nakano6, Tatsuya Seiki1, Tomoe Nasuno1, Ying-Wen Chen7, Tomoki Miyakawa8, Masato Sugi9 and Woosub Roh8, (1)Japan Agency for Marine-Earth Science and Technology, Yokohama, Kanagawa, Japan, (2)JAMSTEC, Yokohama, Japan, (3)The University of Tokyo, Atmosphere and Ocean Research Institute, Kashiwa, Japan, (4)JAMSTEC, Yokosuka, Japan, (5)RIKEN Center for Computational Science, Kobe, Japan, (6)JAMSTEC, Yokohama-City, Japan, (7)Atmosphere and Ocean Research Institute University of Tokyo, Tokyo, Japan, (8)Atmosphere and Ocean Research Institute, The University of Tokyo, Kashiwa, Japan, (9)Meteorological Research Institute, Ibaraki, Japan
Representation of Extreme Events in High Resolution Versions of the CESM (364277)
Susan C Bates, National Center for Atmospheric Research, Boulder, CO, United States and Nan A Rosenbloom, National Center for Atmospheric Research, Boulder, United States
Alleviating low cloud problem in climate and weather forecast models by adaptive vertical grid enhancement (384362)
Takanobu Yamaguchi1, Peter Bogenschutz2, Graham Feingold3, Daniel F Martin4, Yaosheng Chen5, Peter Schwartz4 and Ryuji Yoshida5, (1)CIRES University of Colorado / NOAA ESRL, Boulder, United States, (2)Lawrence Livermore National Laboratory, Livermore, United States, (3)NOAA CSL, Boulder, United States, (4)Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (5)CIRES University of Colorado / NOAA ESRL, Boulder, CO, United States

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