46 citations · 83 across the 9 of their papers we have counts for
11 papers
Supergranulation as a Tracer of Solar-Cycle Variability
Irina N. Kitiashvili, Andrew A. Ngo, Spiridon Kasapis
Supergranulation is a dominant scale of near-surface solar convection and an important diagnostic for studying the interaction between convective flows, rotation, and magnetic acti…
Developing Machine Learning Models of Subgrid Turbulent Transport for Quiet Sun 3D Radiative Hydrodynamic Simulations
Rimsha Hameed Syeda, Dustin Kempton, Viacheslav Sadykov +2
Numerical modeling of solar plasma dynamics is affected by the resolution of the computational grid. This often requires the estimation of subgrid processes related to the small-sc…
Cluster-Weighted Training of Deep Surrogate Models for Subgrid Turbulent Transport
Rimsha Hameed Syeda, Dustin Kempton, Viacheslav Sadykov +2
Turbulence in the solar interior and atmosphere plays a crucial role in energy transport, yet modeling its subgrid-scale effects remains a major challenge. This study leverages mac…
Review of Machine Learning Models for Solar Energetic Particle Prediction
Spiridon Kasapis, Pouya Hosseinzadeh, Kathryn Whitman +73
Solar energetic particle (SEP) events have attracted increasing attention due to their significant radiation hazards for aviation, spacecraft electronics, and human missions beyond…
Prediction of Magnetic Flux Evolution During Solar Active Region Emergence using Long Short-Term Memory Networks
Eren Dogan, Spiridon Kasapis, Sarang Patil +5
Solar active regions (ARs) are the primary drivers of space weather events, making their early prediction crucial for operational forecasting systems. We develop machine learning m…
Machine Learning-Ready Data Sets for the Analysis and Nowcasting of Atmospheric Radiation at Aviation Altitudes
Viacheslav M Sadykov, Zachary M Watkins, Dustin Kempton +10
Nowcasting and forecasting of the radiation environment in the Earth's lower atmosphere are critical for the safety of aircraft and spacecraft crews and passengers. Currently, this…
Operational and Exploration Requirements and Research Capabilities for SEP Environment Monitoring and Forecasting
Viacheslav Sadykov, Petrus Martens, Dustin Kempton +15
Mitigating risks posed by solar energetic particles (SEPs) to operations and exploration in space and Earth's atmosphere motivates the development of advanced, synergistic approach…
Improving Our Knowledge of the Solar Near-Surface Shear Layer: The Special Case of the Leptocline
Jean-Pierre Rozelot, Alexander Kosovichev, Irina Kitiashvili
The discovery of the solar activity cycle was linked from the outset to the observation of the temporal variability of sunspots, which we know to be the result of complex processes…
The Need for Laboratory Measurements and Ab Initio Studies to Aid Understanding of Exoplanetary Atmospheres
Jonathan J. Fortney, Tyler D. Robinson, Shawn Domagal-Goldman +85
We are now on a clear trajectory for improvements in exoplanet observations that will revolutionize our ability to characterize their atmospheric structure, composition, and circul…
Using Realistic MHD Simulations for Modeling and Interpretation of Quiet-Sun Observations with the Solar Dynamics Observatory Helioseismic and Magnetic Imager
Irina N. Kitiashvili, Sebastien Couvidat, Andreas Lagg
The solar atmosphere is extremely dynamic, and many important phenomena develop on small scales that are unresolved in observations with the Helioseismic and Magnetic Imager (HMI)…
Detection of Small-Scale Granular Structures in the Quiet Sun with the New Solar Telescope
Valentyna Abramenko, Vasyl Yurchyshyn, Philip Goode +2
Results of a statistical analysis of solar granulation are presented. A data set of 36 images of a quiet Sun area on the solar disk center was used. The data were obtained with the…