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Titlebook: Oceanography of the Ross Sea Antarctica; Antarctica Giancarlo Spezie,Giuseppe M. R. Manzella Conference proceedings 1999 Springer-Verlag It

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书目名称Oceanography of the Ross Sea Antarctica
副标题Antarctica
编辑Giancarlo Spezie,Giuseppe M. R. Manzella
视频video
图书封面Titlebook: Oceanography of the Ross Sea Antarctica; Antarctica Giancarlo Spezie,Giuseppe M. R. Manzella Conference proceedings 1999 Springer-Verlag It
描述The era of the exploration of the World Ocean is not yet over: some areas still lack an adequate number of observations. The relationships between the physical, chemical and biological processes, which sustain the life on this planet, are not yet fully understood. In short, knowledge of the oceans is still far from satisfactory. This book covers an important period in the study of one of the last investigated areas of the World Ocean: the Ross Sea, Antarctica. During the 1990s, long-term experiments were conducted in this area as part of the Climatic Long-term Interaction for the Mass balance in Antarctica (CLIMA) project of the Italian National Programme for Antarctic Research (PNRA), providing a wealth of oceanographic information. This book is an outcome of the CLIMA field obser­ vations and international collaborations with the most important programmes in the Ross Sea-Southern Ocean area. It contributes to the st!ldies of the spatial and temporal variability of Ross Sea water masses and circulation and their relation­ ship with the Southern Ocean circulation. A comprehensive review of historical data is offered, and new data sets are analysed. The studies presented in this boo
出版日期Conference proceedings 1999
关键词Meteorology; Ocean; Oceanography; Pancake Ice; Scale; Snow; Southern Ocean; Wind; marine
版次1
doihttps://doi.org/10.1007/978-88-470-2250-8
isbn_softcover978-88-470-2252-2
isbn_ebook978-88-470-2250-8
copyrightSpringer-Verlag Italia, Milano 1999
The information of publication is updating

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M. L. Van Woerterent noise models and designs including density estimation, hazard rate estimation, and inverse problems; the use of wavelets for stationary and non-stationary time series analysis; and how wavelets might be u978-0-387-75960-9978-0-387-75961-6Series ISSN 2197-5736 Series E-ISSN 2197-5744
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G. M. R. Manzella,R. Meloni,P. Piccoerent noise models and designs including density estimation, hazard rate estimation, and inverse problems; the use of wavelets for stationary and non-stationary time series analysis; and how wavelets might be u978-0-387-75960-9978-0-387-75961-6Series ISSN 2197-5736 Series E-ISSN 2197-5744
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