Detection and attribution of climate change dependexplicitly on proper characterization of naturalpatterns of climate over time. This book examinesmultiple types of climate data, from ocean heatcontent over a few years to ice core data going back60,000 years. Multi-scale analyses are employed totest for stationarity or acceleration of warming insatellite and ground instrumental data. Problemsthat arise when combining instrumental data into longrecords are evaluated. The CO2 rise pattern ischaracterized and the problem of extrapolation isaddressed. It is finally shown that periodicpatterns can be detected at multiple time scales,from decades to millenia. These patterns arecharacterized and used to address the attributionproblem. The human contribution to climate is shownto be separable from natural variability and ischaracterized. Human forcing of climate is shown tobe detectable beginning in 1942. This forcingpattern is used along with patterns of naturalvariability to make a 100 year forecast.
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Detection and attribution of climate change dependexplicitly on proper characterization of naturalpatterns of climate over time. This book examinesmultiple types of climate data, from ocean heatcontent over a few years to ice core data going back60,000 years. Multi-scale analyses are employed totest for stationarity or acceleration of warming insatellite and ground instrumental data. Problemsthat arise when combining instrumental data into longrecords are evaluated. The CO2 rise pattern ischaracterized and the problem of extrapolation isaddressed. It is finally shown that periodicpatterns can be detected at multiple time scales,from decades to millenia. These patterns arecharacterized and used to address the attributionproblem. The human contribution to climate is shownto be separable from natural variability and ischaracterized. Human forcing of climate is shown tobe detectable beginning in 1942. This forcingpattern is used along with patterns of naturalvariability to make a 100 year forecast. 204 pp. Englisch. N° de réf. du vendeur 9783844392562
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Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Loehle CraigDr. Loehle received his Ph.D. in Natural Resource Management in1982 from Colorado State University. His specialty isquantitative methods for analysis of ecological systems. He haspublished five books, 127 peer reviewed pa. N° de réf. du vendeur 5476742
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Vendeur : Books Puddle, New York, NY, Etats-Unis
Etat : New. pp. 204. N° de réf. du vendeur 26128858816
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Vendeur : Majestic Books, Hounslow, Royaume-Uni
Etat : New. Print on Demand pp. 204 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam. N° de réf. du vendeur 131695903
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. Time Series Analysis and Climate Change | The Detection of Trends and Patterns in Climate from Years to Millenia | Craig Loehle | Taschenbuch | 204 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783844392562 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 106973532
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Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
Etat : New. PRINT ON DEMAND pp. 204. N° de réf. du vendeur 18128858826
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Detection and attribution of climate change dependexplicitly on proper characterization of naturalpatterns of climate over time. This book examinesmultiple types of climate data, from ocean heatcontent over a few years to ice core data going back60,000 years. Multi-scale analyses are employed totest for stationarity or acceleration of warming insatellite and ground instrumental data. Problemsthat arise when combining instrumental data into longrecords are evaluated. The CO2 rise pattern ischaracterized and the problem of extrapolation isaddressed. It is finally shown that periodicpatterns can be detected at multiple time scales,from decades to millenia. These patterns arecharacterized and used to address the attributionproblem. The human contribution to climate is shownto be separable from natural variability and ischaracterized. Human forcing of climate is shown tobe detectable beginning in 1942. This forcingpattern is used along with patterns of naturalvariability to make a 100 year forecast.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 204 pp. Englisch. N° de réf. du vendeur 9783844392562
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Detection and attribution of climate change dependexplicitly on proper characterization of naturalpatterns of climate over time. This book examinesmultiple types of climate data, from ocean heatcontent over a few years to ice core data going back60,000 years. Multi-scale analyses are employed totest for stationarity or acceleration of warming insatellite and ground instrumental data. Problemsthat arise when combining instrumental data into longrecords are evaluated. The CO2 rise pattern ischaracterized and the problem of extrapolation isaddressed. It is finally shown that periodicpatterns can be detected at multiple time scales,from decades to millenia. These patterns arecharacterized and used to address the attributionproblem. The human contribution to climate is shownto be separable from natural variability and ischaracterized. Human forcing of climate is shown tobe detectable beginning in 1942. This forcingpattern is used along with patterns of naturalvariability to make a 100 year forecast. N° de réf. du vendeur 9783844392562
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Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
Paperback. Etat : Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book. N° de réf. du vendeur ERICA79638443925646
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