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Interannual and Interdecadal Climate Variability and
Predictability with Special Sessions on Chaos and Nonlinearity in the Climate System Dedicated to the Memory of Professor Edward N. Lorenz |
| Although climate predictions are demanded on increasingly fine regional scales, the climate system is dominated on interannual-to-decadal timescales by large-scale patterns that control regional climate. These patterns couple distinct components of the climate system and disparate regions of the globe, and as a result remain a challenge to simulate and to understand. This symposium aims to synthesize our current knowledge of and our ability to predict interannual-to-decadal variability. We solicit papers that elucidate the mechanisms of interannual to decadal variability and lend insight into how coupled climate interactions - atmosphere-ocean-sea ice, troposphere-stratosphere, biosphere-climate, chemistry-climate, etc. - give rise to this variability.
The symposium will include sessions on important sectors of interannual-to-decadal variability:
- Indian and Pacific Ocean sectors
- Atlantic sector (including North America/Europe)
- Southern Hemisphere (including Antarctica)
- Arctic sector
as well synthesis sessions providing
- Perspectives on our theoretical understanding of interannual-to- decadal timescale variability.
- Perspectives on climate prediction on interannual to decadal timescales via simulation with comprehensive climate models.
In light of Professor Edward N. Lorenz's fundamental contributions to our understanding of nonlinear chaotic dynamics and of climate system dynamics, MOCA-09 will dedicate part of this symposium to the theme “Chaos and Nonlinearity in the Climate System” in Professor Lorenz's honour.
This part of the symposium will highlight recent advances in the analysis of chaotic systems and applications to climate. It will also seek to develop new questions of theoretical interest that arise from observations and models of climate dynamics, with an emphasis on nonlinear aspects of climate, such as nonlinear feedbacks and the effect of nonlinearity on predictability. |
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Sponsoring Associations: IAMAS/IACS/IAPSO |
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| Convenors: |
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| Invited Speakers: |
- Ichiro Yasuda, University of Tokyo, Japan
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- Judith Perlwitz, CIRES, USA
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- Shang-Ping Xie, University of Hawaii, USA
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- Ben Kirtman, University of Miami, USA
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- Fei Fei Jin, University of Hawaii, USA
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- Richard Seager, Lamont-Doherty Earth Observatory, USA
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- Yochanan Kushnir, Columbia University, USA
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