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30th Conference on Mathematical Geophysics: Support for young US scientists

30th Conference on Mathematical Geophysics: Support for young US scientists
第30届数学地球物理学会议:支持美国年轻科学家
批准号:
1425938
负责人:
Ilya Zaliapin
金额:
$2.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-06-01 至 2015-05-31

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中文摘要
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英文摘要
This award provides funds to help support meeting costs and travel expenses of approximately 20 US students, post docs and young scientists for the International Conference on Mathematical Geophysics to be held in Merida, Yucatan, Mexico during 2-6 June of 2014. The funding priority will be given to under-represented groups (women and minorities). The Conference on Mathematical Geophysics (CMG) is sponsored by the Committee on Mathematical Geophysics of the International Union of Geodesy and Geophysics. The conference website can be found at http://eventos.iingen.unam.mx/IUGG2014/.This conference brings together applied mathematicians, computational scientists, engineers, and researchers from geophysics, physical oceanography, material sciences, and atmospheric and climate dynamics, to discuss advances and challenges of the present understanding of the Earth sciences. This year's program provides a strong emphasis on Applied Mathematics and Computational Geophysics, in combination with more traditional for CMG topics of Seismicity, Oceanography, and Climate. The meeting will make a particular emphasis on the advances in computational methods of geosciences and mathematical and numerical methods of enhanced oil recovery. This meeting provides a unique multi-disciplinary forum for the exchange of ideas and techniques across the disciplinary boundaries in the Earth sciences. It allows interactions among Earth scientists from disciplines that do not normally communicate, such as oil engineers, physical oceanographers and geophysicists.
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会议论文
Collaborative Research: Toward understanding spatio-temporal variations of seismic clusters in different environments
Collaborative Research, Type 1, L02170206: Climate Sensitivity, Stochastic Models and GCM-EaSM Optimization
CMG Collaborative Research: Envirodynamics on River Networks
Collaborative Research: CMG--Stochastic Quantization for Modeling the Dynamics of Regional Seismicity
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