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Improvement in Surface Solar Irradiance Estimation Using HRV/MSG Data

Authors :
Filomena Romano
Domenico Cimini
Angela Cersosimo
Francesco Di Paola
Donatello Gallucci
Sabrina Gentile
Edoardo Geraldi
Salvatore Larosa
Saverio T. Nilo
Elisabetta Ricciardelli
Ermann Ripepi
Mariassunta Viggiano
Source :
Remote Sensing, Vol 10, Iss 8, p 1288 (2018)
Publication Year :
2018
Publisher :
MDPI AG, 2018.

Abstract

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.

Details

Language :
English
ISSN :
20724292
Volume :
10
Issue :
8
Database :
Directory of Open Access Journals
Journal :
Remote Sensing
Publication Type :
Academic Journal
Accession number :
edsdoj.3b5dff3d964a69bb813b33ffb6d50f
Document Type :
article
Full Text :
https://doi.org/10.3390/rs10081288