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16 December 2025

Evaluation of Cloud Fraction Data for Modelling Daily Surface Solar Radiation: Application to the Lake Baikal Region

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1
Institute of Monitoring of Climatic and Ecological Systems, Siberian Branch of the Russian Academy of Sciences, 634055 Tomsk, Russia
2
V.B. Sochava Institute of Geography, Siberian Branch of the Russian Academy of Sciences, 664033 Irkutsk, Russia
3
Federal Research Centre for Information and Computational Technologies, 634055 Novosibirsk, Russia
4
Matrosov Institute for System Dynamics and Control Theory, Siberian Branch of the Russian Academy of Sciences, 664033 Irkutsk, Russia
This article belongs to the Special Issue Solar Radiation: Measurements and Model Studies—Progress and Perspectives (2nd Edition)

Abstract

Accurately modelling surface solar radiation (SSR) is essential for environmental research but remains a significant challenge in topographically complex regions like Lake Baikal, where ground measurements are sparse. This study evaluates the performance of various open-access cloud cover products—from satellite sensors (AVHRR, MODIS) and ground-based observations—for modelling daily SSR totals, using a physical radiation model validated against in-situ measurements from 10 coastal stations. The results demonstrate that the choice of cloud data critically impacts model accuracy. The AVHRR satellite product yields the most reliable estimates (R2 = 0.54, RMSE = 4.538 MJ/m2), significantly outperforming both ground-based cloudiness observations and the ERA5 reanalysis dataset. This finding underscores that spatially continuous satellite data provide a superior representation of cloud attenuation for regional modelling than point-based ground observations or reanalysis. Consequently, a physical model driven by high-quality satellite cloud masks is recommended as an effective methodology for generating reliable SSR fields.

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