Next Article in Journal
Multiscale and Multifeature Segmentation of High-Spatial Resolution Remote Sensing Images Using Superpixels with Mutual Optimal Strategy
Next Article in Special Issue
Validation of Hourly Global Horizontal Irradiance for Two Satellite-Derived Datasets in Northeast Iraq
Previous Article in Journal
Building Detection from VHR Remote Sensing Imagery Based on the Morphological Building Index
Previous Article in Special Issue
Modeling Photosynthetically Active Radiation from Satellite-Derived Estimations over Mainland Spain
Open AccessArticle

Improvement in Surface Solar Irradiance Estimation Using HRV/MSG Data

1
Institute of Methodologies for Environmental Analysis, National Research Council (IMAA/CNR), 85100 Potenza, Italy
2
Center of Excellence Telesensing of Environment and Model Prediction of Severe events (CETEMPS), University of L’Aquila, 67100 L’Aquila, Italy
3
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; https://doi.org/10.3390/rs10081288
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
Show Figures

Graphical abstract

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.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop