Solar wind energy entry and dissipation in the magnetosphere and ionosphere is a key process for both space physics and space weather applications.
Given the limited number of observations, large-scale space weather models are important tools to understand the processes. At the same time as models based on solving the dynamic equations (such as MHD) have greatly advanced, increased number of applications using space weather predictions pose new challenges, while machine learning methodologies have opened whole new avenues for research.
As new space communities emerge within the academia, industry and public sector, we need new ways of multidisciplinary collaborations and user community interactions.
Professor Tuija Pulkkinen is the Chair of the Department of Climate and Space Sciences and Engineering of the University of Michigan.
Previously she worked at Aalto University as Dean and Vice President (2011-2018), and at the Finnish Meteorological Institute (1988-2010).
Prof. Pulkkinen’s research focuses on studies of magnetospheric dynamic events driven by solar wind structures such as coronal mass ejections, and makes use of models and simulations as well as space measurements.
She is an author of over 220 scientific publications in the field.