Domeisen, Daniela

Biography

Daniela Domeisen is a Professor of Atmospheric Predictability at the Institute of Atmospheric and Climate Science in the Department of Environmental Sciences. She holds a degree in physics from ETH Zurich, a Master's degree in "Climate & Society" from Columbia University, and a PhD in "Climate Physics and Chemistry" from the Massachusetts Institute of Technology (MIT). Daniela Domeisen focused on stratosphere - troposphere coupling during a postdoctoral research stay at Cornell University and on seasonal predictability at the CliSAP Excellence Cluster at the University of Hamburg. She has experience in private industry working for a commodity broker in London, and she has held an Assistant Professorship in "Atmospheric Dynamics and Predictability" at GEOMAR Helmholtz Centre for Ocean Research Kiel from 2015 - 2017. Additional Information 2 clicks for more data protection: this button will only become active and you can only send your suggestion to Facebook once you've clicked here. Data will be transferred to others as soon as you have activated this. 2 clicks for more data protection: this button will only become active and you can only send your suggestion to Twitter once you've clicked here. Data will be transferred to others as soon as you have activated this. 2 clicks for more data protection: this button will only become active and you can only send your suggestion to Google+ once you've clicked here. Data will be transferred to others as soon as you have activated this. Recommend this page to someone.

Research Interest

Professor Domeisen's group focuses on the large-scale dynamics and predictability of the atmosphere. Questions of interest are: Which mechanisms and teleconnections lead to predictability over Europe? To which extent can the stratosphere account for predictability of surface climate? When and where do the tropics have an impact on the extratropics? To which extent do persistent events contribute to sub-seasonal to seasonal predictability? How predictable is the North Atlantic Oscillation? How can the predictability obtained in models be translated into information that is useful for stakeholders?