Improvement of Hourly Surface Solar Irradiance Estimation Using MSG Rapid Scanning Service
The purpose of this work is to explore the effect of temporal sampling on the accuracy of the hourly mean Surface Solar Irradiance (SSI) estimation. An upgraded version of the Advanced Model for the Estimation of Surface Solar Irradiance from Satellite (AMESIS), exploiting data from the Meteosat Sec...
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-01-01
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| Series: | Remote Sensing |
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| Online Access: | http://www.mdpi.com/2072-4292/11/1/66 |
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| author | Donatello Gallucci Filomena Romano Domenico Cimini Francesco Di Paola Sabrina Gentile Salvatore Larosa Saverio T. Nilo Elisabetta Ricciardelli Ermann Ripepi Mariassunta Viggiano Edoardo Geraldi |
| author_facet | Donatello Gallucci Filomena Romano Domenico Cimini Francesco Di Paola Sabrina Gentile Salvatore Larosa Saverio T. Nilo Elisabetta Ricciardelli Ermann Ripepi Mariassunta Viggiano Edoardo Geraldi |
| author_sort | Donatello Gallucci |
| collection | DOAJ |
| description | The purpose of this work is to explore the effect of temporal sampling on the accuracy of the hourly mean Surface Solar Irradiance (SSI) estimation. An upgraded version of the Advanced Model for the Estimation of Surface Solar Irradiance from Satellite (AMESIS), exploiting data from the Meteosat Second Generation Rapid Scanning Service (MSG-RSS), has been used to evaluate the SSI. The assessment of the new version of AMESIS has been carried out against data from two pyranometers located in Southern (Tito) and Northern (Ispra) Italy at an altitude of 760 m and 220 m, respectively. The statistical analysis of the comparison between hourly mean SSI estimates based on temporal sampling every five minutes shows a quantitative improvement compared to those based on 15-minute sampling. In particular, for the whole dataset in Tito, the correlation increases from 0.979 to 0.998, the Root Mean Square Error (RMSE) decreases from 45.16 W/m2 to 13.19 W/m2 and the Mean Bias Error (MBE) is reduced from −0.67 W/m2 to −0.02 W/m2. For the whole dataset in Ispra, the correlation increases from 0.995 to 0.998, the RMSE decreases from 24.85 W/m2 to 15.59 W/m2, whereas the MBE increases from 3.84 W/m2 to 4.58 W/m2. This preliminary assessment shows that higher temporal sampling can improve SSI monitoring over areas featuring frequent and rapid solar irradiance variation. |
| first_indexed | 2024-12-10T16:24:26Z |
| format | Article |
| id | doaj.art-09d345e30924498dbb20d27d0285a824 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-12-10T16:24:26Z |
| publishDate | 2019-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-09d345e30924498dbb20d27d0285a8242022-12-22T01:41:42ZengMDPI AGRemote Sensing2072-42922019-01-011116610.3390/rs11010066rs11010066Improvement of Hourly Surface Solar Irradiance Estimation Using MSG Rapid Scanning ServiceDonatello Gallucci0Filomena Romano1Domenico Cimini2Francesco Di Paola3Sabrina Gentile4Salvatore Larosa5Saverio T. Nilo6Elisabetta Ricciardelli7Ermann Ripepi8Mariassunta Viggiano9Edoardo Geraldi10Institute of Methodologies for Environmental Analysis, National Research Council (IMAA/CNR), 85100 Potenza, ItalyInstitute of Methodologies for Environmental Analysis, National Research Council (IMAA/CNR), 85100 Potenza, ItalyInstitute of Methodologies for Environmental Analysis, National Research Council (IMAA/CNR), 85100 Potenza, ItalyInstitute of Methodologies for Environmental Analysis, National Research Council (IMAA/CNR), 85100 Potenza, ItalyInstitute of Methodologies for Environmental Analysis, National Research Council (IMAA/CNR), 85100 Potenza, ItalyInstitute of Methodologies for Environmental Analysis, National Research Council (IMAA/CNR), 85100 Potenza, ItalyInstitute of Methodologies for Environmental Analysis, National Research Council (IMAA/CNR), 85100 Potenza, ItalyInstitute of Methodologies for Environmental Analysis, National Research Council (IMAA/CNR), 85100 Potenza, ItalyInstitute of Methodologies for Environmental Analysis, National Research Council (IMAA/CNR), 85100 Potenza, ItalyInstitute of Methodologies for Environmental Analysis, National Research Council (IMAA/CNR), 85100 Potenza, ItalyInstitute of Methodologies for Environmental Analysis, National Research Council (IMAA/CNR), 85100 Potenza, ItalyThe purpose of this work is to explore the effect of temporal sampling on the accuracy of the hourly mean Surface Solar Irradiance (SSI) estimation. An upgraded version of the Advanced Model for the Estimation of Surface Solar Irradiance from Satellite (AMESIS), exploiting data from the Meteosat Second Generation Rapid Scanning Service (MSG-RSS), has been used to evaluate the SSI. The assessment of the new version of AMESIS has been carried out against data from two pyranometers located in Southern (Tito) and Northern (Ispra) Italy at an altitude of 760 m and 220 m, respectively. The statistical analysis of the comparison between hourly mean SSI estimates based on temporal sampling every five minutes shows a quantitative improvement compared to those based on 15-minute sampling. In particular, for the whole dataset in Tito, the correlation increases from 0.979 to 0.998, the Root Mean Square Error (RMSE) decreases from 45.16 W/m2 to 13.19 W/m2 and the Mean Bias Error (MBE) is reduced from −0.67 W/m2 to −0.02 W/m2. For the whole dataset in Ispra, the correlation increases from 0.995 to 0.998, the RMSE decreases from 24.85 W/m2 to 15.59 W/m2, whereas the MBE increases from 3.84 W/m2 to 4.58 W/m2. This preliminary assessment shows that higher temporal sampling can improve SSI monitoring over areas featuring frequent and rapid solar irradiance variation.http://www.mdpi.com/2072-4292/11/1/66AMESISRapid Scanning Service (RSS)MSGSEVIRISurface Solar Irradiance |
| spellingShingle | Donatello Gallucci Filomena Romano Domenico Cimini Francesco Di Paola Sabrina Gentile Salvatore Larosa Saverio T. Nilo Elisabetta Ricciardelli Ermann Ripepi Mariassunta Viggiano Edoardo Geraldi Improvement of Hourly Surface Solar Irradiance Estimation Using MSG Rapid Scanning Service Remote Sensing AMESIS Rapid Scanning Service (RSS) MSG SEVIRI Surface Solar Irradiance |
| title | Improvement of Hourly Surface Solar Irradiance Estimation Using MSG Rapid Scanning Service |
| title_full | Improvement of Hourly Surface Solar Irradiance Estimation Using MSG Rapid Scanning Service |
| title_fullStr | Improvement of Hourly Surface Solar Irradiance Estimation Using MSG Rapid Scanning Service |
| title_full_unstemmed | Improvement of Hourly Surface Solar Irradiance Estimation Using MSG Rapid Scanning Service |
| title_short | Improvement of Hourly Surface Solar Irradiance Estimation Using MSG Rapid Scanning Service |
| title_sort | improvement of hourly surface solar irradiance estimation using msg rapid scanning service |
| topic | AMESIS Rapid Scanning Service (RSS) MSG SEVIRI Surface Solar Irradiance |
| url | http://www.mdpi.com/2072-4292/11/1/66 |
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