Observed Patterns of Surface Solar Irradiance under Cloudy and Clear-sky Conditions
Wouter Mol, Bert Heusinkveld, Mary Rose Mangan, Oscar Hartogensis,, Menno Veerman, Chiel van Heerwaarden

TL;DR
This study investigates high-resolution spatial and spectral patterns of surface solar irradiance under various cloud conditions using new observational data, revealing distinct mechanisms and scales of variability relevant for climate and energy applications.
Contribution
It provides the first high-resolution observational dataset of irradiance variability under different cloud types, highlighting mechanisms and scales of variability not captured by existing models.
Findings
Clouds cause large spatiotemporal irradiance variability at scales from 50 m to 30 km.
Spectral irradiance shows blue enrichment in shadows and red peaks near cloud edges.
Clear-sky water vapor absorption varies significantly at minute scales.
Abstract
Surface solar irradiance varies on scales as small as seconds or meters due to scattering and absorption by the atmosphere. Clouds are the main driver of this variability, but moisture structures in the atmospheric boundary layer and aerosols have an influence too, and depend on wavelength. The highly variable nature of solar irradiance is not resolved by most atmospheric models, yet it affects most notably the land-atmosphere coupling, which in turn can change the cloud field, and the quality of solar energy forecasting. Spatially and spectrally resolved observational datasets of solar irradiance at such high resolution are rare, but they are required for characterising observed variability, understanding the mechanisms, and developing fast models capable of accurately resolving this variability. In 2021, we deployed a spatial network of low-cost radiometers at the FESSTVaL (Germany)…
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Taxonomy
TopicsSolar Radiation and Photovoltaics · Atmospheric aerosols and clouds · Climate Change and Health Impacts
