Nowcasting Surface Solar Irradiance with AMESIS via Motion Vector Fields of MSG-SEVIRI Data
| Autor: | Sabrina Gentile, Francesco Di Paola, Saverio T. Nilo, Mariassunta Viggiano, Filomena Romano, Domenico Cimini, Donatello Gallucci, Elisabetta Ricciardelli, Salvatore Larosa, Angela Cersosimo, Edoardo Geraldi |
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| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
radiance
brightness temperature Nowcasting Mean squared error 020209 energy Science Irradiance Extrapolation 02 engineering and technology nowcasting Solar irradiance solar irradiance AMESIS MSG SEVIRI motion vector field 0202 electrical engineering electronic engineering information engineering Physics::Atmospheric and Oceanic Physics Remote sensing Mathematics Motion vector Brightness temperature Radiance General Earth and Planetary Sciences |
| Zdroj: | Remote Sensing, Vol 10, Iss 6, p 845 (2018) Remote sensing (Basel) 10 (2018). doi:10.3390/rs10060845 info:cnr-pdr/source/autori:Gallucci, Donatello 1; Romano, Filomena 1; Cersosimo, Angela 2; Cimini, Domenico 1,3; Di Paola, Francesco 1; Gentile, Sabrina 1,3; Geraldi, Edoardo 1,4; Larosa, Salvatore 1; Nilo, Saverio T. 1; Ricciardelli, Elisabetta 1; Viggiano, Mariassunta 1/titolo:Nowcasting Surface Solar Irradiance with AMESIS via Motion Vector Fields of MSG-SEVIRI Data/doi:10.3390%2Frs10060845/rivista:Remote sensing (Basel)/anno:2018/pagina_da:/pagina_a:/intervallo_pagine:/volume:10 Remote Sensing; Volume 10; Issue 6; Pages: 845 |
| ISSN: | 2072-4292 |
| DOI: | 10.3390/rs10060845 |
| Popis: | In this study, we compare different nowcasting techniques based upon the calculation of motion vector fields derived from spectral channels of Meteosat Second Generation—Spinning Enhanced Visible and InfraRed Imager (MSG-SEVIRI). The outputs of the nowcasting techniques are used as inputs to the Advanced Model for Estimation of Surface solar Irradiance from Satellite (AMESIS), for predicting surface solar irradiance up to 2 h in advance. In particular, the first part of the methodology consists in projecting the time evolution of each MSG-SEVIRI channel (for every pixel in the spatial domain) through extrapolation of a displacement vector field obtained by matching similar patterns within two successive MSG-SEVIRI data images. Different ways to implement the above method result in substantial differences in the predicted trajectory, leading to different performances depending on the time interval of interest. All the nowcasting techniques considered here systematically outperform the simple persistence method for all MSG-SEVIRI channels and for each case study used in this work; importantly, this occurs across the entire 2 h period of the forecast. In the second part of the algorithm, the predicted irradiance maps computed with AMESIS from the forecasted radiances, are shown to be in good agreement with irradiances derived from MSG measured radiances and improve on numerical weather model predictions, thus providing a feasible alternative for nowcasting surface solar radiation. The results show that the mean values for correlation, bias, and root mean square error vary across the time interval, ranging between 0.94, −1 W/m 2 , 61 W/m 2 after 15 min, and 0.73, −18 W/m 2 , 147 W/m 2 after 2 h, respectively. |
| Databáze: | OpenAIRE |
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