Dieter Wolf-Gladrow – författare

This book describes the latest advances at the Helmholtz “Earth System Science Research School” where scientists from the Alfred Wegener Institute in Bremerhaven, the University of Bremen, and the Jacobs University are involved in research.One of the greatest challenges is understanding ongoing environmental changes. The longer the time scale the more components of the Earth system are involved, e.g. interannual and decadal variations are related to the coupled atmosphere-ocean-sea ice system, whereas longer variations like glacial-interglacial or Cenozoic transitions involve the carbon cycle, ice sheets and gateways. In order to get deep insights into Earth system science, observations, remote sensing, past environmental data, as well as modeling need to be integrated. These different approaches are traditionally taught in separated disciplines at bachelor and master levels. It is, therefore, necessary to bring these disciplines together in PhD programs.

This book describes the latest advances at the Helmholtz “Earth System Science Research School” where scientists from the Alfred Wegener Institute in Bremerhaven, the University of Bremen, and the Jacobs University are involved in research.One of the greatest challenges is understanding ongoing environmental changes. The longer the time scale the more components of the Earth system are involved, e.g. interannual and decadal variations are related to the coupled atmosphere-ocean-sea ice system, whereas longer variations like glacial-interglacial or Cenozoic transitions involve the carbon cycle, ice sheets and gateways. In order to get deep insights into Earth system science, observations, remote sensing, past environmental data, as well as modeling need to be integrated. These different approaches are traditionally taught in separated disciplines at bachelor and master levels. It is, therefore, necessary to bring these disciplines together in PhD programs.

Earth system science is traditionally split into various disciplines (Geology, Physics, Meteorology, Oceanography, Biology etc.) and several sub-disciplines. Overall, the diversity of expertise provides a solid base for interdisciplinary research. However, gaining holistic insights into the Earth system requires the integration of observations, paleoclimate data, analysis tools and modeling. These different approaches of Earth system science are rooted in various disciplines that cut across a broad range of timescales. It is, therefore, necessary to link these disciplines at a relatively early stage in PhD programs. The linking of ‘data and modeling’, as it is the special emphasis in our graduate school, enables graduate students from a variety of disciplines to cooperate and exchange views on the common theme of Earth system science, which leads to a better understanding of processes within a global context.

Earth system science is traditionally split into various disciplines (Geology, Physics, Meteorology, Oceanography, Biology etc.) and several sub-disciplines. Overall, the diversity of expertise provides a solid base for interdisciplinary research. However, gaining holistic insights into the Earth system requires the integration of observations, paleoclimate data, analysis tools and modeling. These different approaches of Earth system science are rooted in various disciplines that cut across a broad range of timescales. It is, therefore, necessary to link these disciplines at a relatively early stage in PhD programs. The linking of ‘data and modeling’, as it is the special emphasis in our graduate school, enables graduate students from a variety of disciplines to cooperate and exchange views on the common theme of Earth system science, which leads to a better understanding of processes within a global context.

Die COVID-19-Pandemie hat weltweit dramatische Folgen. Mathematische Modelle spielen bei ihrer Bewertung eine zentrale Rolle: Sie sollen die Wirkung von Maßnahmen abschätzen, die oft mit Einschränkungen individueller Freiheiten einhergehen. Umso mehr sollte das Wissen um die Mathematik der Pandemie nicht nur Experten überlassen bleiben. Dieses Buch erläutert grundlegende Begriffe und Modelle, und klärt weitverbreitete Missverständnisse auf. Das Buch gibt insbesondere Antwort auf folgende Fragen:Was sagen Kennzahlen wie Inzidenz, Reproduktionszahl, Hospitalisierungsrate oder Impfquote über die Pandemie?Was ist der Unterschied von linearem und exponentiellem Wachstum?Was ist Herdenimmunität? Warum werden sich trotz Herdenimmunität fast alle Ungeimpften anstecken?Was ist der Effekt von Kontaktbeschränkungen und Impfung?Warum sind Vorhersagen in der Pandemie schwierig?