Dataset: On Generalized Additive Models for Representation of Solar EUV Irradiance

This dataset includes software for representing solar EUV irradiance using Generalized Additive Models (GAMs). These GAMs represent solar EUV irradiance in multiple wavelength bands using smooth functions of three solar indices: the F10.7 solar index, revised sunspot number (SSN), and the Lyman-alpha solar index. The performance of the GAMs are fit in two steps: (1) GAMs are fit between the solar indices and outputs of the FISM2 empirical solar EUV model in each band (Yi), and (2) GAMs are fit between the residuals of Yi and the native measurements of FISM2 in each band (\(\zeta_i\)). The resulting GAMs \(F_i=Y_i-\zeta_i\) are used to model solar EUV irradiance in Solar Cycle 24. The GAMs are driven with known historical inputs (models \(F^K_i\)) and inputs hindcasted with (a) an autoregressive model and (b) the novel Dynamic Superposed Epoch Analysis (DSEA) technique (models \(F^P_i\)). The performance of models \(F^K_i\), \(F^P_i\), and uncalibrated FISM2 estimates are evaluated in terms of relative error, skew normal distribution parameters, and assessed for dependency on solar activity and season.

All of the code for this project is written in Python 3.8.