A description of the mathematical techniques used to interpret greenhouse gas sources and sinks.
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Ian Enting is a senior principal research scientist at CSIRO Atmospheric Research, Aspendale, Victoria, Australia where he heads the greenhouse gas modelling team.
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Zustand: New. This book describes mathematical techniques for interpreting measurements of greenhouse gases in order to learn about their sources and sinks. It is aimed at researchers and graduate students embarking upon studies in this area. Established researchers will. Artikel-Nr. 446948293
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Zustand: New. A description of the mathematical techniques used to interpret greenhouse gas sources and sinks. Series: Cambridge Atmospheric and Space Science Series. Num Pages: 410 pages, 54 b/w illus. 12 tables. BIC Classification: PBW; PHVJ; RBP; TQ. Category: (P) Professional & Vocational. Dimension: 247 x 174 x 24. . . 2002. Hardback. . . . . Books ship from the US and Ireland. Artikel-Nr. V9780521812108
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The critical role of trace gases in global atmospheric change makes an improved understanding of these gases imperative. Measurements of the distributions of these gases in space and time provide important information, but the interpretation of this information often involves ill-conditioned model inversions. A variety of techniques have therefore been developed to analyze these problems. Inverse Problems in Atmospheric Constituent Transport is the first book to give comprehensive coverage of work on this topic. The trace gas inversion problem is presented in general terms and the various different approaches are unified by treating the inversion problem as one of statistical estimation. Later chapters demonstrate the application of these methods to studies of carbon dioxide, methane, halocarbons and other gases implicated in global climate change. This book is aimed at graduate students and researchers embarking upon studies of global atmospheric change, biogeochemical cycles and Earth systems science. Artikel-Nr. 9780521812108
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