43 citations · 321 across the 29 of their papers we have counts for
8 papers · 1 filter
Differential Rotation of the Solar Chromosphere: A Century-long Perspective from Kodaikanal Solar Observatory Ca II K Data
Dibya Kirti Mishra, Srinjana Routh, Bibhuti Kumar Jha +5
Chromospheric differential rotation is a key component in comprehending the atmospheric coupling between the chromosphere and the photosphere at different phases of the solar cycle…
Differential Rotation of the Solar Chromosphere using multidecadal Ca II K Spectroheliograms
Dibya Kirti Mishra, Srinjana Routh, Bibhuti Kumar Jha +2
The study of the differential rotation in the chromosphere of the Sun is of significant importance as it provides valuable insights into the rotational behaviour of the solar atmos…
MEMPSEP III. A machine learning-oriented multivariate data set for forecasting the Occurrence and Properties of Solar Energetic Particle Events using a Multivariate Ensemble Approach
Kimberly Moreland, Maher Dayeh, Hazel M. Bain +3
We introduce a new multivariate data set that utilizes multiple spacecraft collecting in-situ and remote sensing heliospheric measurements shown to be linked to physical processes…
MEMPSEP I : Forecasting the Probability of Solar Energetic Particle Event Occurrence using a Multivariate Ensemble of Convolutional Neural Networks
Subhamoy Chatterjee, Maher Dayeh, Andrés Muñoz-Jaramillo +3
The Sun continuously affects the interplanetary environment through a host of interconnected and dynamic physical processes. Solar flares, Coronal Mass Ejections (CMEs), and Solar…
MEMPSEP II. -- Forecasting the Properties of Solar Energetic Particle Events using a Multivariate Ensemble Approach
Maher A. Dayeh, Subhamoy Chatterjee, Andres Munoz-Jaramillo +3
Solar Energetic Particles (SEPs) form a critical component of Space Weather. The complex, intertwined dynamics of SEP sources, acceleration, and transport make their forecasting ve…
Probabilistic solar flare forecasting using historical magnetogram data
Kiera van der Sande, Andrés Muñoz-Jaramillo, Subhamoy Chatterjee
Solar flare forecasting research using machine learning (ML) has focused on high resolution magnetogram data from the SDO/HMI era covering Solar Cycle 24 and the start of Solar Cyc…