Analysis of global water vapour trends based on satellite data | Statistical identification, error and significance estimation, comparative and correlative analyses

Sebastian Mieruch

ISBN 10: 3838113659 / ISBN 13: 9783838113654

Verlag: Südwestdeutscher Verlag für Hochschulschriften AG Co. KG, 2015

Beschreibung

Analysis of global water vapour trends based on satellite data | Statistical identification, error and significance estimation, comparative and correlative analyses | Sebastian Mieruch | Taschenbuch | 124 S. | Englisch | 2015 | Südwestdeutscher Verlag für Hochschulschriften AG Co. KG | EAN 9783838113654 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Bestandsnummer des Verkäufers 101354499

Bibliografische Details

• Titel: Analysis of global water vapour trends based on satellite data | Statistical identification, error and significance estimation, comparative and correlative analyses
• Verlag: Südwestdeutscher Verlag für Hochschulschriften AG Co. KG
• Erscheinungsjahr: 2015
• Sprache: Englisch
• ISBN-10: 3838113659
• ISBN-13: 9783838113654
• Einband: Taschenbuch
• Zustand: Neu
• Abmessungen: 220B x 150 H x 9 T Millimeter Breite: 220 mm, Höhe: 150 mm, Tiefe: 9 mm
• Gewicht: 203 Gramm
• Verkäuferkataloge:
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Über diesen Titel

Inhaltsangabe

Water vapour is the most important greenhouse gas on Earth. Without atmospheric water vapour, the Earth's surface temperature would be about 20 K lower than today. Life, as we know it, would not be possible. In the context of global climate change, especially the temperature increase due to anthropogenic emissions of CO2 (carbon dioxide) and CH4 (methane), water vapour is of utmost importance because of the strong temperature water vapour feedback. The present book concerns mainly on three parts. First, water vapour trends based on monthly mean satellite data from 1996 to 2007 are estimated on a 0.5x0.5 degree global grid. Locally significant trends up to +-5 % are found. The second part investigates the comparison of the derived water vapour trends from satellite observations with globally distributed measurements from groundstations using a Bayesian model selection. Finally, part three presents a study of the interaction of water vapour and temperature by the application of a Markov chain analysis, which elucidates the potential of the development of a new climate classification scheme.

Über die Autorin bzw. den Autor

received his Ph.D. degree in physics in 2009 from the University of Bremen, Germany at the Institute of Environmental Physics (IUP). His research interests concern the detection of climate change signals from environmental time series, statistical climatology, climate variability as well as climate extremes and prediction.