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Atthasongkhro J, Lim A, Ueranantasun A, Tongkumchum P, Khurram H. A statistical model of solar radiation absorption in the United States. TERRESTRIAL, ATMOSPHERIC AND OCEANIC SCIENCES 2024; 35:11. [DOI: 10.1007/s44195-024-00069-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 05/10/2024] [Indexed: 07/24/2024]
Abstract
AbstractThe transitivity of solar radiation in the atmosphere varies greatly depending on location, time of day, earth-to-sun distance, angle of incidence, and other variables. Solar radiation has an impact on climate change and can be used as energy. So, its modelling will help plan and design policies for climate change and the sustainable use of energy. This study aimed to investigate solar energy patterns and trends on the Earth’s surface via solar radiation absorption by cloud cover. Data on solar radiation absorption from 133 stations between the years 1998 and 2020 across the United States were downloaded from the National Solar Radiation Database (NSRDB) website. A linear regression model was used to model solar absorption by cloud and factor analysis was used to group the regions by reducing the spatial correlation of solar radiation absorption. After that, a multivariate regression model was utilized to investigate average changes. There were seven regions obtained from factor analysis. All regions showed a seasonal pattern, with the peak in December to January and the lowest level in June to July. The north, north-east, or south-east of the country experienced an increase in solar radiation absorption, while the north-west, central, and south of the country experienced a decrease. The overall average absorption increased by 0.015%. The patterns and trends of solar radiation by location and time help climate scientists make better decisions. It is also useful to manage renewable energy sources, which will lead policymakers to make better policies.
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Tuna Tuygun G, Elbir T. Comparative analysis of CAMS aerosol optical depth data and AERONET observations in the Eastern Mediterranean over 19 years. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:27069-27084. [PMID: 38503950 PMCID: PMC11052789 DOI: 10.1007/s11356-024-32950-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Accepted: 03/12/2024] [Indexed: 03/21/2024]
Abstract
Aerosol optical depth (AOD) is an essential metric for evaluating the atmospheric aerosol load and its impacts on climate, air quality, and public health. In this study, the AOD data from the Copernicus Atmosphere Monitoring Service (CAMS) were validated against ground-based measurements from the Aerosol Robotic Network (AERONET) throughout the Eastern Mediterranean, a region characterized by diverse aerosol types and sources. A comparative analysis was performed on 3-hourly CAMS AOD values at 550 nm against observations from 20 AERONET stations across Cyprus, Greece, Israel, Egypt, and Turkey from 2003 to 2021. The CAMS AOD data exhibited a good overall agreement with AERONET AOD data, demonstrated by a Pearson correlation coefficient of 0.77, a mean absolute error (MAE) of 0.08, and a root mean square error (RMSE) of 0.11. Nonetheless, spatial and temporal variations were observed in the CAMS AOD data performance, with site-specific correlation coefficients ranging from 0.57 to 0.85, the lowest correlations occurring in Egypt and the highest in Greece. An underestimation of CAMS AOD was noted at inland sites with high AOD levels, while a better agreement was observed at coastal sites with lower AOD levels. The diurnal variation analysis indicated improved CAMS reanalysis performance during the afternoon and evening hours. Seasonally, CAMS reanalysis showed better agreement with AERONET AODs in spring and autumn, with lower correlation coefficients noted in summer and winter. This study marks the first comprehensive validation of CAMS AOD performance in the Eastern Mediterranean, offering significant enhancements for regional air quality and climate modeling, and underscores the essential role of consistent validation in refining aerosol estimations within this complex and dynamic geographic setting.
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Affiliation(s)
- Gizem Tuna Tuygun
- Department of Environmental Engineering, Faculty of Engineering, Dokuz Eylul University, Buca-Izmir, Turkey
| | - Tolga Elbir
- Department of Environmental Engineering, Faculty of Engineering, Dokuz Eylul University, Buca-Izmir, Turkey.
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Monteiro A, Basart S, Kazadzis S, Votsis A, Gkikas A, Vandenbussche S, Tobias A, Gama C, García-Pando CP, Terradellas E, Notas G, Middleton N, Kushta J, Amiridis V, Lagouvardos K, Kosmopoulos P, Kotroni V, Kanakidou M, Mihalopoulos N, Kalivitis N, Dagsson-Waldhauserová P, El-Askary H, Sievers K, Giannaros T, Mona L, Hirtl M, Skomorowski P, Virtanen TH, Christoudias T, Di Mauro B, Trippetta S, Kutuzov S, Meinander O, Nickovic S. Multi-sectoral impact assessment of an extreme African dust episode in the Eastern Mediterranean in March 2018. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 843:156861. [PMID: 35750162 DOI: 10.1016/j.scitotenv.2022.156861] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 06/17/2022] [Accepted: 06/17/2022] [Indexed: 06/15/2023]
Abstract
In late March 2018, a large part of the Eastern Mediterranean experienced an extraordinary episode of African dust, one of the most intense in recent years, here referred to as the "Minoan Red" event. The episode mainly affected the Greek island of Crete, where the highest aerosol concentrations over the past 15 yeas were recorded, although impacts were also felt well beyond this core area. Our study fills a gap in dust research by assessing the multi-sectoral impacts of sand and dust storms and their socioeconomic implications. Specifically, we provide a multi-sectoral impact assessment of Crete during the occurrence of this exceptional African dust event. During the day of the occurrence of the maximum dust concentration in Crete, i.e. March 22nd, 2018, we identified impacts on meteorological conditions, agriculture, transport, energy, society (including closing of schools and cancellation of social events), and emergency response systems. As a result, the event led to a 3-fold increase in daily emergency responses compare to previous days associated with urban emergencies and wildfires, a 3.5-fold increase in hospital visits and admissions for Chronic Obstructive Pulmonary Disease (COPD) exacerbations and dyspnoea, a reduction of visibility causing aircraft traffic disruptions (eleven cancellations and seven delays), and a reduction of solar energy production. We estimate the cost of direct and indirect effects of the dust episode, considering the most affected socio-economic sectors (e.g. civil protection, aviation, health and solar energy production), to be between 3.4 and 3.8 million EUR for Crete. Since such desert dust transport episodes are natural, meteorology-driven and thus to a large extent unavoidable, we argue that the efficiency of actions to mitigate dust impacts depends on the accuracy of operational dust forecasting and the implementation of relevant early warning systems for social awareness.
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Affiliation(s)
- Alexandra Monteiro
- CESAM & Department of Environment and Planning, University of Aveiro, Aveiro, Portugal.
| | - Sara Basart
- Barcelona Supercomputing Center (BSC), Barcelona, Spain
| | - Stelios Kazadzis
- Physikalisch-Meteorologisches Observatorium Davos, World Radiation Center, Switzerland
| | - Athanasios Votsis
- Dept. of Governance and Technology for Sustainability, University of Twente, Enschede, Netherlands; Climate Change and Society, Finnish Meteorological Institute, Helsinki, Finland
| | - Antonis Gkikas
- IAASARS, National Observatory of Athens, 15236 Athens, Greece
| | | | - Aurelio Tobias
- Institute of Environmental Assessment and Water Research (IDAEA), Spanish Council for Scientific Research (CSIC), Barcelona, Spain; School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan
| | - Carla Gama
- CESAM & Department of Environment and Planning, University of Aveiro, Aveiro, Portugal
| | - Carlos Pérez García-Pando
- Barcelona Supercomputing Center (BSC), Barcelona, Spain; ICREA, Catalan Institution for Research and Advanced Studies, Barcelona, Spain
| | | | - George Notas
- School of Medicine and University Hospital, Department of Emergency Medicine, University of Crete, 70013 Heraklion, Greece
| | - Nick Middleton
- St Anne's College, University of Oxford, Oxford OX2 6HS, United Kingdom
| | - Jonilda Kushta
- Climate and Atmosphere Research Center (CARE-C), The Cyprus Institute, Nicosia 2121, Cyprus
| | | | - Kostas Lagouvardos
- Institute of Environmental Research and Sustainable Development, National Observatory of Athens (IERSD/NOA), Greece
| | - Panagiotis Kosmopoulos
- Institute of Environmental Research and Sustainable Development, National Observatory of Athens (IERSD/NOA), Greece
| | - Vasiliki Kotroni
- Institute of Environmental Research and Sustainable Development, National Observatory of Athens (IERSD/NOA), Greece
| | - Maria Kanakidou
- Environmental Chemical Processes Laboratory, Chemistry Department, University of Crete, 70013 Heraklion, Greece
| | - Nikos Mihalopoulos
- Institute of Environmental Research and Sustainable Development, National Observatory of Athens (IERSD/NOA), Greece; Environmental Chemical Processes Laboratory, Chemistry Department, University of Crete, 70013 Heraklion, Greece
| | - Nikos Kalivitis
- IAASARS, National Observatory of Athens, 15236 Athens, Greece; Environmental Chemical Processes Laboratory, Chemistry Department, University of Crete, 70013 Heraklion, Greece
| | - Pavla Dagsson-Waldhauserová
- Agricultural University of Iceland, Keldnaholt, 112 Reykjavik, Iceland; Faculty of Environmental Sciences, Czech University of Life Sciences, Prague 165 21, Czech Republic
| | - Hesham El-Askary
- Schmid College of Science and Technology, Chapman University, Orange, CA, 92866, USA; Department of Environmental Sciences, Faculty of Science, Alexandria University, Alexandria 21522, Egypt
| | - Klaus Sievers
- ZAMG - Zentralanstalt für Meteorologie und Geodynamik, Wien, Austria
| | - T Giannaros
- Institute of Environmental Research and Sustainable Development, National Observatory of Athens (IERSD/NOA), Greece
| | - Lucia Mona
- Consiglio Nazionale delle Ricerche, Istituto di Metodologie per l'Analisi Ambientale (CNR-IMAA), Tito Scalo (PZ), Italy
| | - Marcus Hirtl
- ZAMG - Zentralanstalt für Meteorologie und Geodynamik, Wien, Austria
| | - Paul Skomorowski
- ZAMG - Zentralanstalt für Meteorologie und Geodynamik, Wien, Austria
| | - Timo H Virtanen
- Finnish Meteorological Institute, Climate Research, 00101 Helsinki, Finland
| | - Theodoros Christoudias
- Climate and Atmosphere Research Center (CARE-C), The Cyprus Institute, Nicosia 2121, Cyprus
| | - Biagio Di Mauro
- Institute of Polar Sciences, National Research Council of Italy, Milano, Italy
| | - Serena Trippetta
- Consiglio Nazionale delle Ricerche, Istituto di Metodologie per l'Analisi Ambientale (CNR-IMAA), Tito Scalo (PZ), Italy
| | - Stanislav Kutuzov
- Dept. of Glaciology, Institute of Geography Russian Academy of Sciences, Russia; Faculty of Geography and Geoinformation Technologies, National Research University Higher School of Economics, Russia
| | - Outi Meinander
- Finnish Meteorological Institute, Climate Research, 00101 Helsinki, Finland
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Selecting Surface Inclination for Maximum Solar Power. ENERGIES 2022. [DOI: 10.3390/en15134784] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Maximum efficiency of surfaces that exploit solar energy, including Photovoltaic Panels and Thermal collectors, is achieved by installing them in a certain inclination (tilt). Most common approach is to select an inclination angle equal to the location’s latitude. This is based on the astronomical calculations of the sun’s position throughout the year but ignores meteorological factors. Cloud coverage and aerosols tend to change the direct irradiance but also the radiance sky distribution, thus horizontal surfaces receive larger amounts than tilted ones in specific atmospheric conditions (e.g., cases of cloud presence). In the present study we used 15 years of data, from 25 cities in Europe and North Africa in order to estimate the optimal tilt angle and the related energy benefits based in real atmospheric conditions. Data were retrieved from Copernicus Atmospheric Monitoring Service (CAMS). Four diffuse irradiance, various models are compared, and their differences are evaluated. Equations, extracted from solar irradiance and cloud properties regressions, are suggested to estimate the optimal tilt angle in regions, where no climatological data are available. In addition, the impact of cloud coverage is parameterized using the Cloud Modification Factor (CMF) and an equation is proposed to estimate the optimal tilt angle. A realistic representation of the photovoltaic energy production and a subsequent financial analysis were additionally performed. The results are able to support the prognosis of energy outcome and should be part of energy planning and the decision making for optimum solar power exploitation into the international clean energy transitions. Finally, results are compared to a global study and differences on the optimal tilt angle at cities of Northern Europe is presented.
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15-Year Analysis of Direct Effects of Total and Dust Aerosols in Solar Radiation/Energy over the Mediterranean Basin. REMOTE SENSING 2022. [DOI: 10.3390/rs14071535] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
The direct radiative effects of atmospheric aerosols are essential for climate, as well as for other societal areas, such as the energy sector. The goal of the present study is to exploit the newly developed ModIs Dust AeroSol (MIDAS) dataset for quantifying the direct effects on the downwelling surface solar irradiance (DSSI), induced by the total and dust aerosol amounts, under clear-sky conditions and the associated impacts on solar energy for the broader Mediterranean Basin, over the period 2003–2017. Aerosol optical depth (AOD) and dust optical depth (DOD) derived by the MIDAS dataset, along with additional aerosol and dust optical properties and atmospheric variables, were used as inputs to radiative transfer modeling to simulate DSSI components. A 15-year climatology of AOD, DOD and clear-sky global horizontal irradiation (GHI) and direct normal irradiation (DNI) was derived. The spatial and temporal variability of the aerosol and dust effects on the different DSSI components was assessed. Aerosol attenuation of annual GHI and DNI were 1–13% and 5–47%, respectively. Over North Africa and the Middle East, attenuation by dust was found to contribute 45–90% to the overall attenuation by aerosols. The GHI and DNI attenuation during extreme dust episodes reached 12% and 44%, respectively, over particular areas. After 2008, attenuation of DSSI by aerosols became weaker mainly because of changes in the amount of dust. Sensitivity analysis using different AOD/DOD inputs from Copernicus Atmosphere Monitoring Service (CAMS) reanalysis dataset revealed that using CAMS products leads to underestimation of the aerosol and dust radiative effects compared to MIDAS, mainly because the former underestimates DOD.
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Effect of Aerosol Vertical Distribution on the Modeling of Solar Radiation. REMOTE SENSING 2022. [DOI: 10.3390/rs14051143] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Default aerosol extinction coefficient profiles are commonly used instead of measured profiles in radiative transfer modeling, increasing the uncertainties in the simulations. The present study aimed to determine the magnitude of these uncertainties and contribute towards the understanding of the complex interactions between aerosols and solar radiation. Default, artificial and measured profiles of the aerosol extinction coefficient were used to simulate the profiles of different radiometric quantities in the atmosphere for different surface, atmospheric, and aerosol properties and for four spectral bands: ultraviolet-B, ultraviolet-A, visible, and near-infrared. Case studies were performed over different areas in Europe and North Africa. Analysis of the results showed that under cloudless skies, changing the altitude of an artificial aerosol layer has minor impact on the levels of shortwave radiation at the top and bottom of the atmosphere, even for high aerosol loads. Differences of up to 30% were, however, detected for individual spectral bands. Using measured instead of default profiles for the simulations led to more significant differences in the atmosphere, which became very large during dust episodes (10–60% for actinic flux at altitudes between 1 and 2 km, and up to 15 K/day for heating rates depending on the site and solar elevation).
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