2020
DOI: 10.3390/rs12233882
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Comparison of Surface Solar Irradiance from Ground Observations and Satellite Data (1990–2016) over a Complex Orography Region (Piedmont—Northwest Italy)

Abstract: Climate Monitoring Satellite Application Facility (CM SAF) surface solar irradiance (SSI) products were compared with ground-based observations over the Piedmont region (north-western Italy) for the period 1990–2016. These products were SARAH-2.1 (Surface Solar Radiation DataSet—Heliosat version 2.1) and CLARA-A2 (Cloud, Albedo and Surface Radiation dataset version A2). The aim was to contribute to the discussion on the representativeness of satellite SSI data including a focus on high-elevation areas. The com… Show more

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Cited by 5 publications
(1 citation statement)
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“…This impacts renewable energy production [33], hydropower through accelerated meltwater from seasonal snow [34], radiative balance both at the surface [35] and along the vertical profile [36] and the enhanced effects on humans and ecosystems [37,38]. Hence, solar radiation is an important variable to be monitored in the fragile mountain environment, notably in the context of a changing climate [39][40][41][42], and for public health purposes. Finally, space-based estimates of solar radiation are challenging over complex orography [43][44][45] and measurements over mountainous areas are essential for providing ground truth data.…”
mentioning
confidence: 99%
“…This impacts renewable energy production [33], hydropower through accelerated meltwater from seasonal snow [34], radiative balance both at the surface [35] and along the vertical profile [36] and the enhanced effects on humans and ecosystems [37,38]. Hence, solar radiation is an important variable to be monitored in the fragile mountain environment, notably in the context of a changing climate [39][40][41][42], and for public health purposes. Finally, space-based estimates of solar radiation are challenging over complex orography [43][44][45] and measurements over mountainous areas are essential for providing ground truth data.…”
mentioning
confidence: 99%