About
Dr. Martin Reiss is a scientist at NASA's Community Coordinated Modeling Center. 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.
Employment
Employment history is unavailable.
Education
Education history is unavailable.
Projects & Funding
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The role played by coronal holes in solar wind forecasting Austrian Science Fund
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Improving Ambient Solar Wind Modeling and Prediction Austrian Science Fund
Publications (101)
- The Next Era of CME Modeling at NASA's CCMC with CORHEL-CME Save
- In-Situ Multi-Spacecraft and Remote Imaging Observations of the First CME Detected by Solar Orbiter and BepiColombo Save
- A Community Data Set for Comparing Automated Coronal Hole Detection Schemes Save
- Writhed Analytical Magnetic Flux Rope Model Save
- Evaluating current methods for establishing magnetic connectivity across the solar atmosphere Save
- Unifying the validation of ambient solar wind models in the community Save
- Analytical Modelling of Curved Cylindrical Flux Ropes Save
- Automatic Detection of Interplanetary Coronal Mass Ejections Save
- Automatic Detection of Interplanetary Coronal Mass Ejections in Solar Wind In Situ Data Save
- Building a GIC forecasting tool based on geomagnetic and solar wind data: challenges and future avenues Save
- Drag-based deformation of a multi-point CME event Save
- Multipoint Interplanetary Coronal Mass Ejections Observed with Solar Orbiter, BepiColombo, Parker Solar Probe, Wind, and STEREO-A Save
- Predicting the Bz magnetic field component from upstream in situ observations of coronal mass ejections using machine learning Save
- Forecasting GICs and Geoelectric Fields From Solar Wind Data Using LSTMs: Application in Austria Save
- Forecasting GICs and geoelectric fields from solar wind data using LSTMs: application in Austria Save
- Writhed Flux Rope Model Save
- Multipoint Interplanetary Coronal Mass Ejections Observed with Solar Orbiter, BepiColombo, Parker Solar Probe, Wind, and STEREO-A Save
- Unifying the Validation of Ambient Solar Wind Models Save
- Forecasting the ambient solar wind from coronal magnetic models using Gradient Boosting Regression Save
- HI-based CME Modeling and the Influence of the Drag-force on the CME Frontal Shape Save