Modelling short-term Solar Spectral Irradiance (SSI) using coronal electron density and temperature profiles based on solar magnetic field observations

Abstract

Some key physical processes that impact the evolution of Earth's atmosphere on time-scale from days to millennia, such as the EUV emissions, are determined by the solar magnetic field. However, observations of the solar spectral irradiance are restricted to the last few solar cycles and are subject to large uncertainties. We present a physics-based model to reconstruct short-term solar spectral irradiance (SSI) variability. The coronal magnetic field is estimated to employ the Potential Field Source Surface extrapolation (PFSS) based on observational synoptic charts and magnetic flux transport model. The emission is estimated to employ the CHIANTI atomic database 8.0. The performance of the model is compared to the emission observed by TIMED/SORCE.

Total Solar Irradiance Forecasting with Keras Recurrent Neural Networks

“…In order to solve this problem, many works attempted to estimate the irradiance curve with different methods [ 2 , 8 , 17 , 21 , 23 ]. Most of them use physical models that allow the reconstruction of time fractions of TSI or SSI missing data and not specifically the task of series prediction.…”