Hasselmann Legacy

Stochastic Thinking in Climate Science
Erscheinungsjahr 2027
ISBN: 978-3-032-40027-7
Verlag: Springer

Buch, Englisch, 173 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Springer Proceedings in Earth and Environmental Sciences

In recent years, high-resolution Earth system modeling has dominated global climate research. However, following the 2021 Nobel Prize, there has been a renewed interest in stochasticity, particularly in Hamburg, where Lin Lin became a Nobel laureate fellow of Klaus Hasselmann at the Max Planck Institute of Meteorology. Using the funds associated with this fellowship, she is organizing, with Klaus Hasselmann's endorsement, the symposium “Hasselmann Legacy - Stochastic Thinking in Climate Science” on November 8, 2024, at the Max Planck Institute of Meteorology in Hamburg.

The symposium aims to revisit the scientific innovations and progress inspired by Hasselmann's significant contributions to climate science, particularly his work on defining the nature of stochasticity and distinguishing between signal and noise. The primary focus is to demonstrate the presence of noise and its effects in high-dimensional systems, such as global and regional climate variability, as well as other systems. Specifically, it will explore how short-term disturbances (white noise) integrate to red spectra of slower, large-scale components. Additionally, the symposium will address the challenge of separating signal from noise in numerical models and deconstructing both past and ongoing developments, with a particular emphasis on global warming.

Zielgruppe

Research

Autoren/Hrsg.

Lin, Lin

Storch, Hans von

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik
• Geowissenschaften Geologie Meteorologie, Klimatologie
• Geowissenschaften Geologie Geologie

Inhaltsverzeichnis

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.

Über Autor(innen)

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