Showing 1–20 of 36 results
/ Date/ Name
Aug 5, 2015The Minimum of Solar Cycle 23: As Deep as It Could Be?Apr 10, 2013Solar Cycle Propagation, Memory, and Prediction: Insights from a Century of Magnetic ProxiesMar 2, 2013Calibrating 100 Years of Polar Faculae Measurements: Implications for the Evolution of the Heliospheric Magnetic FieldJul 18, 2014Polar Network Index as a magnetic proxy for the solar cycle studiesJul 7, 2010Magnetic Quenching of Turbulent Diffusivity: Reconciling Mixing-length Theory Estimates with Kinematic Dynamo Models of the Solar CycleJun 22, 2010A Double-Ring Algorithm for Modeling Solar Active Regions: Unifying Kinematic Dynamo Models and Surface Flux-Transport SimulationsOct 23, 2014Small-Scale and Global Dynamos and the Area and Flux Distributions of Active Regions, Sunspot Groups, and Sunspots: A Multi-Database StudyNov 20, 2008Helioseismic data inclusion in solar dynamo modelsMar 2, 2013The unusual minimum of sunspot cycle 23 a consequence of Sun's meridional plasma flow variationsAug 9, 2013Using the Dipolar and Quadrupolar Moments to Improve Solar-Cycle Predictions Based on the Polar Magnetic FieldsJan 18, 2023Solaris: A Focused Solar Polar Discovery-class Mission to achieve the Highest Priority Heliophysics Science NowOct 1, 2025Diffusion Modeling of the Three-Dimensional Magnetic Field in the Sun's CoronaAug 29, 2023Probabilistic solar flare forecasting using historical magnetogram dataSep 25, 2023MEMPSEP II. -- Forecasting the Properties of Solar Energetic Particle Events using a Multivariate Ensemble ApproachAug 29, 2023Efficient labeling of solar flux evolution videos by a deep learning modelNov 4, 2019Probabilistic Super-Resolution of Solar Magnetograms: Generating Many Explanations and Measuring UncertaintiesJan 29, 2024SuNeRF: 3D reconstruction of the solar EUV corona using Neural Radiance FieldsAug 20, 2023Homogenising SoHO/EIT and SDO/AIA 171Å$~$ Images: A Deep Learning ApproachNov 4, 2019Single-Frame Super-Resolution of Solar Magnetograms: Investigating Physics-Based Metrics & LossesOct 23, 2023MEMPSEP III. A machine learning-oriented multivariate data set for forecasting the Occurrence and Properties of Solar Energetic Particle Events using a Multivariate Ensemble Approach