Validate and gap-fill ground measured data
Maintaining systematic solar resource monitoring at high quality and without gaps is challenging, due to potential issues in data acquisition, storage and transmission. Data from ground-mounted sensors are prone to errors for reasons such as shading, misalignment of instruments, calibration issues, irregular or insufficient cleaning, missing data, etc. Solargis data allows for quality control, error detection and data gap filling.