Analysis of Spanish Radiometric Networks with the Novel Bias-Based Quality Control (BQC) Method.

ABSTRACT: Different types of measuring errors can increase the uncertainty of solar radiation measurements, but most common quality control (QC) methods do not detect frequent defects such as shading or calibration errors due to their low magnitude. We recently presented a new procedure, the Bias-based Quality Control (BQC), that detects low-magnitude defects by analyzing the stability of the deviations between several independent radiation databases and measurements. In this study, we extend the validation of the BQC by analyzing the quality of all publicly available Spanish radiometric networks measuring global horizontal irradiance (9 networks, 732 stations). Similarly to our previous validation, the BQC found many defects such as shading, soiling, or calibration issues not detected by classical

SUBMITTER: Urraca R 

PROVIDER: S-EPMC6603785 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature