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Remote Sensing of Solar Radiation Satellite

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Atmospheric Remote Sensing".

Deadline for manuscript submissions: closed (30 September 2021) | Viewed by 2888

Special Issue Editor

Royal Belgian Institute for Space Aeronomy, 1180 Uccle, Belgium
Interests: solar radiation; atmospheric chemistry and physics; UV climatology; solar extraterrestrial spectrum
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Solar radiation, being the only source of energy received by the Earth, is a key issue for the survival of our planet, its environment and for life on Earth. Solar radiation has a major impact on various phenomena such as the energy balance of the Earth’s surface, photochemical reactions in the atmosphere, meteorological and climatic conditions, ocean circulation cycles, photosynthesis, and global warming. It impacts a large series of research domains such as renewable energy solutions, local and global climatology, atmospheric chemistry and physics, agriculture, global warming, etc. It is therefore essential to have correct knowledge on extraterrestrial global solar radiation, its spectral composition and its potential variations, and the obstacles for the penetration of these radiations to the ground level (pollution, aerosols, effect of clouds, etc.).

This Special Issue aims to review techniques for solar radiation measurements and modeling, including historical developments, technical comparisons, new instrumental design, solar radiation networks, recent measurements from space and at the ground level, new radiation transfer models, comparison of models and in situ measurements, and new statistical studies for predictive methods.

Comparison of the different methods of measurements and the different models should reduce uncertainties and provide better and more accurate knowledge of global solar radiation, its spectral components, and its direct diffuse and retro-diffuse components that are of major interest for researchers in alternative energy solutions, climatology, and agricultural issues.

Dr. Didier Gillotay
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Solar radiation
  • Experimental and modeling aspects
  • Space- and ground-based measurements

Published Papers (1 paper)

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Research

16 pages, 2611 KiB  
Article
Study of Atmospheric Turbidity in a Northern Tropical Region Using Models and Measurements of Global Solar Radiation
by Mohamed Zaiani, Abdanour Irbah, Djelloul Djafer, Constantino Listowski, Julien Delanoe, Dimitris Kaskaoutis, Sabrina Belaid Boualit, Fatima Chouireb and Mohamed Mimouni
Remote Sens. 2021, 13(12), 2271; https://doi.org/10.3390/rs13122271 - 10 Jun 2021
Cited by 3 | Viewed by 2160
Abstract
Radiative transfer in the Earth’s atmosphere under clear-sky conditions strongly depends on turbidity due to aerosols and hydrometeors. It is therefore important to know its temporal radiative properties for a given site when the objective is to optimize the solar energy that is [...] Read more.
Radiative transfer in the Earth’s atmosphere under clear-sky conditions strongly depends on turbidity due to aerosols and hydrometeors. It is therefore important to know its temporal radiative properties for a given site when the objective is to optimize the solar energy that is collected there. Turbidity can be studied via measurements and models of the global solar radiation reaching the ground in cloudless conditions. These models generally depend on two parameters, namely the Angström turbidity coefficient and the Linke factor. This article aims to do a comparative study of five models of global solar radiation, all dependent on the Linke factor, based on real data. The measurements are provided by the Tamanrasset Meteorological Center (Algeria), which has a long series of global solar radiation data recorded between 2005 and 2011. Additional data from AERONET and MODIS onboard the TERRA satellite were also used to perform the comparison between the two estimated parameters and those obtained from AERONET. The study shows that the ESRA models are the most reliable among the five models for estimating the Linke factor with a correlation coefficient R of the data fits of 0.9995, a RMSE of 13.44 W/m2, a MBE of −0.64 W/m2 and a MAPE of 6.44%. The maximum and minimum statistical values were reached, respectively, in June and during the autumn months. The best correlation is also observed in the case of ESRA models between the Linke parameter and the joint optical thickness of aerosols and the total column-integrated water vapor. The Angström turbidity coefficient β, calculated from the Linke factor and MODIS data, has values less than 0.02 at 9% of the cases, and 76% present values ranging between 0.02 and 0.15 and 13% higher than 0.15. These β values are validated by AERONET measurements since a very good correlation (R0.87) is observed between the two datasets. The temporal variations of β also show a maximum in June. Satellite observations confirm more aerosols during the summer season, which are mostly related to the African monsoon. Full article
(This article belongs to the Special Issue Remote Sensing of Solar Radiation Satellite)
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