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23 Facts About Klaus Hasselmann

1.

Klaus Hasselmann is Professor Emeritus at the University of Hamburg and former Director of the Max Planck Institute for Meteorology.

2.

Klaus Hasselmann was awarded the 2021 Nobel Prize in Physics jointly with Syukuro Manabe and Giorgio Parisi.

3.

Klaus Hasselmann spent five years in the United States as a professor at the Scripps Institution of Oceanography and the Woods Hole Oceanographic Institution, and a year as a visiting professor at the University of Cambridge.

4.

Klaus Hasselmann is best known for developing the Hasselmann model of climate variability, where a system with a long memory integrates stochastic forcing, thereby transforming a white-noise signal into a red-noise one, thus explaining the ubiquitous red-noise signals seen in the climate.

5.

Klaus Hasselmann's father Erwin Hasselmann was an economist, journalist, and publisher, who was politically active for the Social Democratic Party of Germany from the 1920s.

6.

Klaus Hasselmann attended Elementary and Grammar School in Welwyn Garden City, and passed his A-levels in 1949.

7.

Klaus Hasselmann has said that "I felt very happy in England" and that English is his first language.

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8.

Klaus Hasselmann's parents returned to Hamburg in 1948, but Klaus remained in England to finish his A-levels.

9.

Klaus Hasselmann has been married to the mathematician Susanne Hasselmann since 1957 and they have worked closely professionally; his wife was a senior scientist at the Max Planck Institute for Meteorology.

10.

Klaus Hasselmann graduated in physics and mathematics at the University of Hamburg in 1955 with a thesis on isotropic turbulence.

11.

Klaus Hasselmann earned his PhD in physics at the University of Gottingen and Max Planck Institute of Fluid Dynamics from 1955 to 1957.

12.

Klaus Hasselmann was an assistant professor at the University of Hamburg from 1957 to 1961 and an assistant professor and associate professor at the Institute for Geophysics and Planetary Physics and Scripps Institution of Oceanography at the University of California, San Diego in La Jolla from 1961 to 1964.

13.

Klaus Hasselmann was Professor of Geophysics and Planetary Physics at the University of Hamburg from 1966.

14.

Klaus Hasselmann was a visiting professor at the University of Cambridge from 1967 to 1968 and was the Doherty Professor at the Woods Hole Oceanographic Institution in Massachusetts from 1970 to 1972.

15.

From February 1975 to November 1999, Klaus Hasselmann was Founding Director of the Max Planck Institute for Meteorology in Hamburg.

16.

Klaus Hasselmann has been vice-chairman and board member of the European Climate Forum for many years until 2018.

17.

Klaus Hasselmann has published papers on climate dynamics, stochastic processes, ocean waves, remote sensing, and integrated assessment studies.

18.

Klaus Hasselmann later discovered plasma physicists were applying similar techniques to plasma waves, and that he had rediscovered some results of Rudolf Peierls explaining the diffusion of heat in solids by non-linear phonon interactions.

19.

Klaus Hasselmann later suggested how to extract 'fingerprints' of anthropogenic climate change.

20.

Klaus Hasselmann applied the theory of optimal linear filters to this multivariate, space-time dependent complex problem in order to give a prescription of how to extract these fingerprints.

21.

Klaus Hasselmann has won a number of awards over his career.

22.

Klaus Hasselmann received the 2009 BBVA Foundation Frontiers of Knowledge Award in Climate Change; in January 1971 the Sverdrup Medal of the American Meteorological Society; in May 1997 he was awarded the Symons Memorial Medal of the Royal Meteorological Society; in April 2002 he was awarded the Vilhelm Bjerknes Medal of the European Geophysical Society.

23.

Klaus Hasselmann was awarded the 2021 Nobel Prize in Physics jointly with Syukuro Manabe and Giorgio Parisi for groundbreaking contributions to the "physical modeling of earth's climate, quantifying variability and reliably predicting global warming" and "understanding of complex systems".