4.7 Article Data Paper

Ten years of 1 Hz solar irradiance observations at Cabauw, the Netherlands, with cloud observations, variability classifications, and statistics

Journal

EARTH SYSTEM SCIENCE DATA
Volume 15, Issue 5, Pages 2139-2151

Publisher

COPERNICUS GESELLSCHAFT MBH
DOI: 10.5194/essd-15-2139-2023

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This article presents an observational dataset of global, direct, and diffuse solar irradiance collected over a 10-year period from the BSRN station in Cabauw, the Netherlands. The dataset includes detailed information on variability, cloud effects, aerosol analysis, solar position, cloud observations, sky type, and wind measurements. These observations contribute to research on the impact of clouds and atmospheric composition on solar irradiance variability and help validate models.
Surface solar irradiance varies on scales down to seconds, and detailed long-term observational datasets of this variable are rare but in high demand. Here, we present an observational dataset of global, direct, and diffuse solar irradiance sampled at 1 Hz as well as fully resolved variability until at least 0.1 Hz over a period of 10 years from the Baseline Surface Radiation Network (BSRN) station at Cabauw, the Netherlands. The dataset is complemented with irradiance variability classifications, clear-sky irradiance and aerosol reanalysis, information about the solar position, observations of clouds and sky type, and wind measurements up to 200m above ground level. Statistics of variability derived from all time series include approximately 185 000 detected events of both cloud enhancement and cloud shadows. Additional observations from the Cabauw measurement site are freely available from the open-data platform of the Royal Netherlands Meteorological Institute. This paper describes the observational site, quality control, classification algorithm with validation, and the processing method of complementary products. Additionally, we discuss and showcase (potential) applications, including limitations due to sensor response time. These observations and derived statistics provide detailed information to aid research into how clouds and atmospheric composition influence solar irradiance variability as well as information to help validate models that are starting to resolve variability at higher fidelity. The main datasets are available at https://doi.org/10.5281/zenodo.7093164 (Knap and Mol, 2022) and https://doi.org/10.5281/zenodo.7462362 (Mol et al., 2022); the reader is referred to the Code and data availability section of this paper for the complete list.

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