Dr. Christian Möstl
Christian Möstl is the head of the Austrian Space Weather Office, established in September 2022, at the Geosphere Austria. He is an expert in studying the global interplanetary structure and evolution of solar coronal mass ejections, with data provided by multi-spacecraft imaging and in situ observations from missions such as SDO, SOHO, STEREO, Wind, ACE, Venus Express, MESSENGER, MAVEN, Parker Solar Probe, Solar Orbiter and BepiColombo. Further, he works with his team on the application of basic research results to real time solar wind prediction, one of the major challenges in the fields of heliophysics and space weather. He is managing the most comprehensive living catalog for interplanetary coronal mass ejections, and played a large part in developing the field of interpreting and modeling heliospheric imager observations, provided by STEREO, Solar Orbiter, Parker Solar Probe, and in the future by PUNCH and Vigil. He is the recipient of an Marie S. Curie international fellowship in 2012, the EGU Arne Richter Award in 2016, and an ERC Consolidator Grant in 2022.
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Dr. Tanja Amerstorfer
Dr. Tanja Amerstorfer is the deputy head of the Austrian Space Weather Office. She has longtime experience in modeling the evolution of coronal mass ejections and predicting their arrival at Earth, other planets and various satellites in the inner solar system. Her special focus lies on working with data from the heliospheric imagers from the Solar TErestrial RElations Observatory, which serve as prototypes for the ESA Vigil mission, to be launched by the end of the 2020s. She is PI of two stand-alone projects funded by the Austrian Science fund – one completed and one about to start in March 2023. Her recent interests are the improvement of real-time predictions of Earth-directed solar storms with the support of machine learning and computer vision tools, and the development and deployment of the solar wind forecast pipelines at the Austrian Space Weather Office.
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Dr. Rachel L. Bailey
Dr. Bailey has been working at the Austrian Conrad Observatory since 2012. Her research focus is on the development of geomagnetically induced currents (GICs) in the Austrian power grid during geomagnetic storms, a topic she has been working on together with the power grid operators since 2014.This has included developing a model of GICs in Austria, published on GitHub as GEOMAGICA, testing that model vs. measurements, and also investigating the long data set of GIC measurements (6+ years) in Austria. Over the years, she has been involved in the development of the software running at the observatory, Geomagpy. She also has experience using various machine learning methods, including LSTMs and Gradient Boosting Regressors, and likes to tinker with the models for different forms of space weather forecasting, some of which can be found in the Helio4Cast solar wind forecast.
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Dr. Ute V. Amerstorfer
Dr. Ute Amerstorfer is a research scientist at the Austrian Space Weather Office. Her expertise ranges from theoretical space plasma physics, MHD and Monte-Carlo simulations, and atmospheric evolution of planets to the interplanetary evolution of coronal mass ejections. Her recent interests focus on the prediction of the magnetic field of coronal mass ejections and on the application of machine learning methods in heliophysics. Additionally, she has held lectures in the master’s and PhD programmes at the Institute of Physics of the University of Graz and has been supervising several bachelor’s and master’s students.
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Dr. Emma E. Davies
Dr. Emma Davies joined the Austrian Space Weather Office as a postdoctoral researcher in March 2023. Her primary research focusses on the evolution of interplanetary coronal mass ejections (ICMEs), including their global magnetic structure, and the associated space weather effects at Earth. Emma completed her PhD at Imperial College London in 2021, where she used multi-spacecraft observations from both dedicated solar wind and planetary mission spacecraft such as Solar Orbiter, Bepi Colombo, MESSENGER, Venus Express, ACE, Wind, STEREO, and Juno, to identify ICMEs in-situ and investigate their properties across a wide range of heliocentric distances. More recently, during her time at the University of New Hampshire, she investigated the impact of ICMEs on the galactic cosmic ray (GCR) background, developing expertise in both direct and indirect methods for studying the evolution of ICMEs.
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Hannah T. Rüdisser, MSc
Hannah joined the Austrian Space Weather Office in Fall 2022 after graduating from her masters degree in theoretical and computational physics. During her masters thesis she worked on machine learning methods for the automatic detection of interplanetary coronal mass ejections. She is now extending her expertise with hyper-fast modeling of solar coronal mass ejections throughout her PhD.
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Maike Bauer, MSc
Maike Bauer joined the Austrian Space Weather Office in September 2022. She is currently working on her PhD and is mainly focused on using multi-spacecraft imaging data from e.g. STEREO or Solar Orbiter, as well as applying machine learning techniques to improve the prediction of CMEs. Maike received her MSc in Physics from the University of Graz in 2021. Her previous research work was done under the supervision of Dr. Tanja Amerstorfer and focused on assessing the performance of real-time heliospheric imager data for the prediction of CMEs.
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Dr. Martin A. Reiss
Dr. Martin Reiss is a scientist at NASA’s Community Coordinated Modeling Center and a guest scientist at the Austrian Space Weather Office. His research interests are in solar and heliospheric physics, specifically the Sun’s global coronal magnetic fields, the solar origins of the ambient solar wind flow, and the large-scale modeling of the solar wind and interplanetary coronal mass ejections in our solar system. His expertise includes the comparison and optimization of solar wind model solutions with observations from space missions such as the Solar Dynamics Observatory and Parker Solar Probe. Dr. Reiss is particularly passionate about the application of data science methods such as machine learning for the benefit of space weather research.
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Dr. Andreas J. Weiss
Andreas Weiss joined our research group in March 2019, and finished his PhD in October 2022. He is an expert in the analytical modeling of interplanetary flux ropes and the application of sequential Monte-Carlo algorithms for fitting mathematical models to spacecraft data. Since November 2022 he is a PostDoc at the NASA Goddard Space Flight Center in the group of Dr. Teresa Nieves-Chinchilla.
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