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Open AccessArticle

Improvement in Surface Solar Irradiance Estimation Using HRV/MSG Data

Institute of Methodologies for Environmental Analysis, National Research Council (IMAA/CNR), 85100 Potenza, Italy
Center of Excellence Telesensing of Environment and Model Prediction of Severe events (CETEMPS), University of L’Aquila, 67100 L’Aquila, Italy
Institute for Archaeological and Monumental Heritage, National Research Council (IBAM/CNR), 85100 Potenza, Italy
Author to whom correspondence should be addressed.
Remote Sens. 2018, 10(8), 1288;
Received: 10 July 2018 / Revised: 10 August 2018 / Accepted: 13 August 2018 / Published: 15 August 2018
(This article belongs to the Special Issue Solar Radiation, Modelling and Remote Sensing)
The Advanced Model for the Estimation of Surface Solar Irradiance (AMESIS) was developed at the Institute of Methodologies for Environmental Analysis of the National Research Council of Italy (IMAA-CNR) to derive surface solar irradiance from SEVIRI radiometer on board the MSG geostationary satellite. The operational version of AMESIS has been running continuously at IMAA-CNR over all of Italy since 2017 in support to the monitoring of photovoltaic plants. The AMESIS operative model provides two different estimations of the surface solar irradiance: one is obtained considering only the low-resolution channels (SSI_VIS), while the other also takes into account the high-resolution HRV channel (SSI_HRV). This paper shows the difference between these two products against simultaneous ground-based observations from a network of 63 pyranometers for different sky conditions (clear, overcast and partially cloudy). Comparable statistical scores have been obtained for both AMESIS products in clear and cloud situation. In terms of bias and correlation coefficient over partially cloudy sky, better performances are found for SSI_HRV (0.34 W/m2 and 0.995, respectively) than SSI_VIS (−33.69 W/m2 and 0.862) at the expense of the greater run-time necessary to process HRV data channel. View Full-Text
Keywords: solar irradiance; MSG; SEVIRI; HRV; AMESIS solar irradiance; MSG; SEVIRI; HRV; AMESIS
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MDPI and ACS Style

Romano, F.; Cimini, D.; Cersosimo, A.; Di Paola, F.; Gallucci, D.; Gentile, S.; Geraldi, E.; Larosa, S.; T. Nilo, S.; Ricciardelli, E.; Ripepi, E.; Viggiano, M. Improvement in Surface Solar Irradiance Estimation Using HRV/MSG Data. Remote Sens. 2018, 10, 1288.

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