学术活动

LASG学术报告(4-19)

Mechanisms of Decadal Variability of the North Atlantic Tripole 1951-2000

Dr. Edwin Schneider
Center for Ocean- Land- Atmosphere Studies, Institute of Global
Environment and Society, USA

2010年4月19日(星期一)10:00
科研楼303会议室

Preliminary Results from Project Athena

Dr. Ben Cash
Center for Ocean- Land- Atmosphere Studies, Institute for Global
Environmental Strategies, USA

2010年4月19日(星期一)11:00
科研楼303会议室

Abstract

Preliminary results from Project Athena are presented. The Project
Athena collaboration is intended to demonstrate the feasibility of
using dedicated HEC resources to rapidly accelerate progress in
addressing one of the most critical problems facing the global
community, namely, global climate change. The scientific basis for
undertaking this project was established in the World Modeling Summit,
held in May 2008 in Reading, UK, where there was a call for a
revolution in seamless weather and climate modeling.In Project Athena,
two types of computationally‐intensive experiments made use of the
entire 18,048‐core Athena Cray XT‐4 supercomputer at the University of
Tennessee’s National Institute for Computational Sciences. Experiments
were conducted using 10 and 16 km versions of the European Centre for
Medium‐range Weather Forecasts (ECMWF) Integrated Forecast System
(IFS), a global atmospheric general circulation model, which is used
daily at lower resolution to produce 10‐day weather forecasts, and the
Non‐hydrostatic ICosahedral Atmospheric Model (NICAM) global
atmospheric model from the Japan Agency for Marine‐Earth Science and
Technology (JAMSTEC) and the University of Tokyo was run at 7‐km grid
resolution to simulate the boreal summer climate, focusing on tropical
cyclones, monsoon systems, and summer flood and drought situations.The
numerical experiments were intended to determine whether increasing
weather and climate model resolution to accurately resolve mesoscale
phenomena in the atmosphere can improve the fidelity of the models in
simulating the mean climate and the distribution of variances and
covariances. Explicitly resolving cloud processes in the atmosphere
without approximation by parameterization was also considered.

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