Photovoltaic Power and Meteorological Datasets With Snow Detection From the Outdoor Solar Power Laboratories of the Finnish Meteorological Institute

ABSTRACT High‐quality, long‐term time series of photovoltaic (PV) output measurements are scarce at high latitudes, limiting both academic research and commercial applications. Here, we describe and publish high‐resolution (1 min) PV output data—together with ancillary measurements—from three high‐latitude sites in Finland covering 26 August 2015 to 31 December 2021. The PV data, comprising averaged power readings, were retrieved from inverter registries. Ancillary measurements from the PV field—plane‐of‐array irradiance, air temperature, module temperature, and photographs of the modules—were collected using dedicated instrumentation. Additional meteorological variables, including solar radiation components and snow depth, were obtained from nearby Finnish Meteorological Institute (FMI) weather stations. Daily snow cover classification of the modules was performed manually from daily plots of PV, ancillary and meteorological data and partially validated with photographs. Beyond visual inspection, the PV data underwent the quality control routine as described in a recent paper by Visser and colleagues; however, we found the routine exhibits several shortcomings under high latitude conditions. Snow coverage on the PV modules varied significantly with site location and system design. Subsets of the dataset have previously been used for PV output‐model validation. The complete dataset offers further opportunities, including PV model development, refinement of performance metrics and quality control methods for high‐latitude installations, and investigations of snow‐related losses and gains. The data is freely available from the FMI METIS data repository.

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Publication Details

Journal
Geoscience Data Journal
Published
2025-11-23
DOI
https://doi.org/10.1002/gdj3.70039
Citations
3
Primary Topic
Solar Radiation and Photovoltaics
Type
article
Field-Weighted Citation Impact
7.44

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article

Photovoltaic Power and Meteorological Datasets With Snow Detection From the Outdoor Solar Power Laboratories of the Finnish Meteorological Institute

William Wandji Nyamsi, Juha Karhu, Tero Mielonen, A. Poikonen et al.
3 citations
Geoscience Data Journal
Solar Radiation and Photovoltaics
7.44
article

Photovoltaic Power and Meteorological Datasets With Snow Detection From the Outdoor Solar Power Laboratories of the Finnish Meteorological Institute

William Wandji Nyamsi, Juha Karhu, Tero Mielonen, A. Poikonen, Anders V. Lindfors, Mikko R. A. Pitkänen, T. Salola, O. Mantikka
article en
3 citations

Abstract

ABSTRACT High‐quality, long‐term time series of photovoltaic (PV) output measurements are scarce at high latitudes, limiting both academic research and commercial applications. Here, we describe and publish high‐resolution (1 min) PV output data—together with ancillary measurements—from three high‐latitude sites in Finland covering 26 August 2015 to 31 December 2021. The PV data, comprising averaged power readings, were retrieved from inverter registries. Ancillary measurements from the PV field—plane‐of‐array irradiance, air temperature, module temperature, and photographs of the modules—were collected using dedicated instrumentation. Additional meteorological variables, including solar radiation components and snow depth, were obtained from nearby Finnish Meteorological Institute (FMI) weather stations. Daily snow cover classification of the modules was performed manually from daily plots of PV, ancillary and meteorological data and partially validated with photographs. Beyond visual inspection, the PV data underwent the quality control routine as described in a recent paper by Visser and colleagues; however, we found the routine exhibits several shortcomings under high latitude conditions. Snow coverage on the PV modules varied significantly with site location and system design. Subsets of the dataset have previously been used for PV output‐model validation. The complete dataset offers further opportunities, including PV model development, refinement of performance metrics and quality control methods for high‐latitude installations, and investigations of snow‐related losses and gains. The data is freely available from the FMI METIS data repository.

Geoscience Data JournalVol. 13(1)
Finnish Meteorological Institute (FI)
European Commission, Strategic Research Council
Openalex Percentile: Top 3%
Solar Radiation and Photovoltaics
7.44
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