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Hasselmann Legacy: Stochastic Thinking in Climate Science

Edited by Lin Lin, Edited by Hans von Storch

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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.

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Normally shipped | Forthcoming. We are not accepting backorders for this item yet
Publisher | Springer Nature Switzerland AG
Published date | 17 Jan 2027
Language |
Format | Hardback
Pages | 173
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-3-0324-0027-7
Readership Age |
BISAC | science / earth sciences / general


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