Flexible Global Ocean-Atmosphere-Land System Model, Tianjun Zhou; Yongqiang Yu; Yimin Liu; Bin Wang

Автор: Hofmann-Wellenhof B., Lichtenegger H., Collins J.
Название: Global Positioning System / Theory and Practice
ISBN: 3211835342 ISBN-13(EAN): 9783211835340
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This new edition adds the most recent advances in GPS technology, although the overall structure essentially conforms to the former editions. Furthermore, the augmentation of GPS by satellite-based and ground-based systems leading to future Global Navigation Satellite Systems (GNSS) is discussed.

Автор: P.F. Hodnett
Название: IUTAM Symposium on Advances in Mathematical Modelling of Atmosphere and Ocean Dynamics
ISBN: 9401038538 ISBN-13(EAN): 9789401038539
Издательство: Springer
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Цена: 20962.00 р.
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Описание: held in Limerick, Ireland, 2-7 July 2000

Автор: Tianjun Zhou; Yongqiang Yu; Yimin Liu; Bin Wang
Название: Flexible Global Ocean-Atmosphere-Land System Model
ISBN: 3642418007 ISBN-13(EAN): 9783642418006
Издательство: Springer
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Цена: 23508.00 р.
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Описание: This ground-breaking, systematic evaluation of the FGOALS climate change model covers the entire field, from its development to its latest applications. As well as explaining how to run FGOALS, it assesses the future potential of this powerful analytical tool.

Автор: William K.-M. Lau; Duane E. Waliser
Название: Intraseasonal Variability in the Atmosphere-Ocean Climate System
ISBN: 3642060862 ISBN-13(EAN): 9783642060861
Издательство: Springer
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Цена: 31305.00 р.
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Описание: This is the first comprehensive review of intra-seasonal variability (ISV); Starting with an overview of ISV and historical observations, the book addresses the coupling between ocean and atmosphere, and the worldwide role of ISV in monsoon variability.

Автор: Philip Mote; A. O`Neill
Название: Numerical Modeling of the Global Atmosphere in the Climate System
ISBN: 0792363019 ISBN-13(EAN): 9780792363019
Издательство: Springer
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Цена: 41787.00 р.
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Описание: Gives a treatment of the science of climate prediction. This work covers topics including, the use of atmospheric general circulation models (AGCMs) as tools for studying climate variability and predicting change, the design and analysis of AGCM experiments, the components of an AGCM, and a selection of additional applications of AGCMs.