Produktbild: Hasselmann Legacy
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Hasselmann Legacy Stochastic Thinking in Climate Science

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

09.12.2026

Abbildungen

V, 173 p. 63 illus., 53 illus. in color.

Herausgeber

Lin Lin + weitere

Verlag

Springer

Seitenzahl

173

Maße (B/H)

15,5/23,5 cm

Sprache

Englisch

ISBN

978-3-032-40027-7

Beschreibung

Portrait

Lin Lin  obtained her PhD (Physical Oceanology) from the Ocean University of China. She is the Klaus Hasselmann Nobel Laureate Fellow at the Max Planck Institute for Meteorology in Germany (2023–2027). Her area of interest is ocean internal variability research, ocean hydrodynamic analysis, ocean numerical modeling. She has published various papers in peer reviewed journals.

Hans von Storch is director emeritus of the Institute of Coastal Research of the Helmholtz Zentrum Geesthacht (HZG), professor at the University of Hamburg and professor at the Ocean University of China (Qingdao). From 1987 - 1995, he was Senior Scientist at the Max Planck-Institute for Meteorology, where he worked with Klaus Hasselmann. His research interests are climate diagnostics and statistical climatology, regional climate change and its transdisciplinary context. He has published 27 books, among them “Statistical Analysis in Climate Research” with Francis Zwiers

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

09.12.2026

Abbildungen

V, 173 p. 63 illus., 53 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

173

Maße (B/H)

15,5/23,5 cm

Sprache

Englisch

ISBN

978-3-032-40027-7

Herstelleradresse

Springer Nature Customer Service Center GmbH
Europaplatz 3
69115 Heidelberg
DE
ProductSafety@springernature.com

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  • Produktbild: Hasselmann Legacy
  • Introduction.- Foreword.- Hasselmann’s acceptance of the Nobel Prize.- Detection, attribution and constrained projection An evolving fusion of statistical and physical thinking.- Can climate models explain the recent stagnation in global warming?.- Attributing Change: Regional detection and attribution and multiple drivers.- The stochastic climate model and noise in marginal seas.- Significance of Internal Variability for Numerical Experimentation and Analysis.- The statistical challenge of proxy reconstruction of past climates.- A fusion of concepts.- The stochastic view used in climate sciences: (some) perspectives from (some of) mathematical statistics.