Surface Flux Transport modelling in one dimension (latitude).
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Updated
Apr 23, 2025 - Fortran
Surface Flux Transport modelling in one dimension (latitude).
SWATNet - School1: Introduction to Space Weather, November 8-12, 2021
Demonstração de procedimentos de transformação e diferenciação com séries temporais.
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.
R interface for fetching selected astronomical time series available in free access.
The Solar Benchmark: Rotational Modulation of the Sun Reconstructed from Archival Sunspot Records
Use FFT to analyse sunspot activity
Demonstração de AutoCorrelação de Série Temporais no Python com Gráficos Interativos e Gráficos Analíticos ACF e PACF
Exploration of time series forecasting concepts and techniques
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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