Arctic environment variability in the context of global change. (=Springer Praxis books in environmental sciences).. Questo articolo non è disponibile.
Lingua: inglese
Editore: Berlin, Springer, 2003
- Rilegato
- Usato

Da: Antiquariat Thomas Haker GmbH & Co. KG, Berlin, GermaniaAntiquariat Thomas Haker GmbH & Co. KG
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Codice articolo 825994
- Titolo
- Arctic environment variability in the context of global change. (=Springer Praxis books in environmental sciences).
- Autore
- Bobylev, Leonid P., Kirill Ya. Kondratyev and Ola M. Johannessen:
- Editore
- Berlin, Springer
- Anno di pubblicazione
- 2003
- Condizione
- Sehr gut
- Rilegatura
- Hardcover
- Lingua
- inglese
- ISBN 10
- 3540434585
- ISBN 13
- 9783540434580
- Peso dell'articolo
- 1430 grammi
- Serie
- Libro 48 di 408: Springer Praxis Books
- Cataloghi dei venditori
- Geowissenschaften - Earth science
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Dalla quarta di copertina
In the early part of the twenthieth century, scientists were convinced that the world's climate was largley driven by the Arctic, then known as the kitchen of global weather. Although today's observational data and numerical modelling now outdate this thinking, it is still believed that the Arctic environment does have a strong influence on global climate and therefore it is particularly important to understand the complexities of this ecosystem in the context of global warming.
Arctic Environment Variability in the Context of Global Change is a study of environmental dynamics in the Arctic. The problems of atmosphere composition - including minor gases, aerosols and clouds - are reviewed, and the impact of human activities ins put into context.
This book:
* analyses the results of observational data and numerical modelling that characterise the Arctic basin pollution dynamics and their impact on ecosystems;
* details a study of environmental dynamics in the Arctic, coupled with ecosystem dynamics to provide greater understanding of the Arctic environment;
* details problems in the study of general circulation in the atmosphere and oceans from the 1930s through to today's modern observational data and numerical modelling.
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