Validation of Global Solar Radiation from ERA5-Land for the Municipality of Humaitá-Amazonas.

Abstract

Global Solar Radiation plays a crucial role in meteorological studies. Reliable data is essential for supporting climate analyses and decision-making in this field. Due to the scarcity of meteorological stations in Brazil, there is a growing reliance on data from reanalyses. This research aimed to evaluate and validate ERA5-Land reanalysis data using surface data from the municipality of Humaitá, Amazonas. The ERA5-Land reanalysis data was compared to surface station data using descriptive graphs generated in Python. The performance of the reanalysis data was assessed through statistical metrics such as MAE, RMSE, R², Pearson's r, and Willmott's d. The correlation between ERA5-Land reanalysis data and surface station measurements was very strong (r = 0.93), with an MAE of 63.93 Wm-2, RMSE of 132.99 Wm-2, Willmott's d value of 0.94, and an R² of 0.79. Thus, the reliability of the data obtained through ERA5-Land reanalysis is validated, providing a solid foundation for future meteorological studies and the development of alternative energy sources.