Surface Flux Transport modelling in one dimension (latitude).
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Jul 16, 2026 - Fortran
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sunspots
Here are 14 public repositories matching this topic...
End-to-end time series analysis and forecasting of monthly sunspot numbers using classical machine learning and deep learning models, including linear regression, tree-based methods, and advanced PyTorch architectures.
data-science machine-learning ai deep-learning time-series scikit-learn advanced pytorch artificial-intelligence lstm xgboost forecasting lightgbm feature-engineering sun lstm-neural-networks time-series-forecasting stacked-lstm sunspots sunspot-analysis
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Dec 21, 2025 - Jupyter Notebook
Reproducible pipeline that fetches and aligns NAO, ENSO, and sunspot time series into monthly/yearly panels for climate-driver correlation and predictive modeling.
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Aug 4, 2026 - Markdown
SWATNet - School1: Introduction to Space Weather, November 8-12, 2021
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Jul 22, 2022 - Jupyter Notebook
Python toolkit correlating a GitHub user's commit history with solar and geomagnetic activity — sunspot numbers (SILSO), F10.7 flux, Dst and ap indices from OMNI2/NOAA SWPC. Computes lagged Pearson/Spearman correlations, Lomb-Scargle periodograms, and bootstrap CIs with heatmaps and multi-user comparison.
python github-api correlation time-series noaa data-analysis space-weather geomagnetic sunspots solar-activity
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Aug 31, 2026 - Python
R interface for fetching selected astronomical time series available in free access.
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Mar 6, 2021 - R
Use FFT to analyse sunspot activity
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Apr 6, 2021 - Jupyter Notebook
This project predicts sunspot activity using an LSTM model for time series data. Built with TensorFlow and Keras, it uses Huber loss for outlier handling and MAE for performance evaluation. The dataset, sourced from Kaggle or SIDC, spans over 270 years of monthly sunspot data.
tensorflow numpy machine scikit-learn keras pandas seaborn kaggle lstm solar matplotlib huber-loss-regression sunspots time-ser conv1d
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Jun 17, 2026 - Jupyter Notebook
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Jul 28, 2022 - Python
Predicting the number of Sunspots based on previous activity using Keras/Tensorflow
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Mar 16, 2019 - Python
Exploration of time series forecasting concepts and techniques
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Jan 15, 2021 - Jupyter Notebook
Project aims at modeling the size distribution of sunspots greater than 60 millionths of a solar hemisphere (MSH) using a truncated log-normal distribution.
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Mar 7, 2024 - Jupyter Notebook
The Solar Benchmark: Rotational Modulation of the Sun Reconstructed from Archival Sunspot Records
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Jan 16, 2019
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