Effect of Aerosol Vertical Distribution on the Modeling of Solar Radiation

Fountoulakis, Ilias; Papachristopoulou, Kyriakoula; Proestakis, Emmanouil; Amiridis, Vassilis; Kontoes, Charalampos; Kazadzis, Stelios

doi:10.3390/rs14051143

Cited by 8 publications

(3 citation statements)

References 84 publications

(93 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Deviations from the exact profiles are not expected to induce large uncertainties in the results of the radiative transfer simulations (e.g., [16]).…”

Section: Methodsmentioning

confidence: 99%

Using Radiometric Measurements to Separate Dust and Smoke Radiative Effects during a Combined Smoke–Dust Event

Fountoulakis,

Siomos,

Raptis

et al. 2023

Comecap 2023

View full text Add to dashboard Cite

show abstract

“…Deviations from the exact profiles are not expected to induce large uncertainties in the results of the radiative transfer simulations (e.g., [16]).…”

Section: Methodsmentioning

confidence: 99%

Using Radiometric Measurements to Separate Dust and Smoke Radiative Effects during a Combined Smoke–Dust Event

Fountoulakis,

Siomos,

Raptis

et al. 2023

Comecap 2023

View full text Add to dashboard Cite

show abstract

“…The standards atmosphere effect to solar radiation as compared to other atmospheres motives is directly related to the attenuation due to atmospheric gases, while for the standard aerosol selection the influence is related to the handling of the optical properties in terms of optical depth, Angstrom, single scattering albedo etc. For the RTM simulations, the standard atmosphere [41] and the default aerosol model [38] were used, while the uncertainty effect on solar irradiation under various molecular bands parameterization and aerosol typing is able to reach up to 60% under extreme atmospheric conditions and aerosol vertical distribution [42,43]. Using the aforementioned RTM process, we simulated GHI under three different conditions: clean and clear (no aerosols and no clouds; GHI clean & clear sky ), clear (no clouds; GHI clear sky ) and all sky (real condition; GHI all sky ).…”

Section: Methodology 221 Radiative Transfer Model Simulationmentioning

confidence: 99%

Rooftop Photovoltaic Energy Production Estimations in India Using Remotely Sensed Data and Methods

et al. 2023

View full text Add to dashboard Cite

We investigate the possibility of estimating global horizontal irradiance (GHI) in parallel to photovoltaic (PV) power production in India using a radiative transfer model (RTM) called libRadtran fed with satellite information on the cloud and aerosol conditions. For the assessment of PV energy production, we exploited one year’s (January–December 2018) ground-based real-time measurements of solar irradiation GHI via silicon irradiance sensors (Si sensor), along with cloud optical thickness (COT). The data used in this method was taken from two different sources, which are EUMETSAT’s Meteosat Second Generation (MSG) and aerosol optical depth (AOD) from Copernicus Atmospheric Monitoring Services (CAMS). The COT and AOD are used as the main input parameters to the RTM along with other ones (such as solar zenith angle, Ångström exponent, single scattering albedo, etc.) in order to simulate the GHI under all sky, clear (no clouds), and clear-clean (no clouds and no aerosols) conditions. This enabled us to quantify the cloud modification factor (CMF) and aerosol modification factor (AMF), respectively. Subsequently, the whole simulation is compared with the actual recorded data at four solar power plants, i.e., Kazaria Thanagazi, Kazaria Ceramics, Chopanki, and Bhiwadi in the Alwar district of Rajasthan state, India. The maximum monthly average attenuation due to the clouds and aerosols are 24.4% and 11.3%, respectively. The energy and economic impact of clouds and aerosols are presented in terms of energy loss (EL) and financial loss (FL). We found that the maximum EL in the year 2018 due to clouds and aerosols were 458 kWh m−2 and 230 kWh m−2, respectively, observed at Thanagazi location. The results of this study highlight the capabilities of Earth observations (EO), in terms not only of accuracy but also resolution, in precise quantification of atmospheric effect parameters. Simulations of PV energy production using EO data and techniques are therefore useful for real-time estimates of PV energy outputs and can improve energy management and production inspection. Success in such important venture, energy management, and production inspections will become much easier and more effective.

show abstract

“…The ESA-CALIPSO dataset [93], EARLINET (The EARLINET publishing group 2000-2010), and AERONET products [94,95], in combination with aerosol models from the literature [96][97][98], were implemented for LIVAS development. From its establishment, LIVAS has contributed to various studies related to dust climatology and retrievals optimization [42,45,66,99], new dataset development [34], the assessment of aerosols' impact on radiation [66,[100][101][102], and model evaluation [103].…”

Section: Caliop-calipso Spaceborne Retrievalsmentioning

confidence: 99%

Assessing Lidar Ratio Impact on CALIPSO Retrievals Utilized for the Estimation of Aerosol SW Radiative Effects across North Africa, the Middle East, and Europe

Moustaka,

Korras-Carraca,

Papachristopoulou

et al. 2024

Remote Sensing

View full text Add to dashboard Cite

North Africa, the Middle East, and Europe (NAMEE domain) host a variety of suspended particles characterized by different optical and microphysical properties. In the current study, we investigate the importance of the lidar ratio (LR) on Cloud-Aerosol Lidar with Orthogonal Polarization–Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIOP-CALIPSO) aerosol retrievals towards assessing aerosols’ impact on the Earth-atmosphere radiation budget. A holistic approach has been adopted involving collocated Aerosol Robotic Network (AERONET) observations, Radiative Transfer Model (RTM) simulations, as well as reference radiation measurements acquired using spaceborne (Clouds and the Earth’s Radiant Energy System-CERES) and ground-based (Baseline Surface Radiation Network-BSRN) instruments. We are assessing the clear-sky shortwave (SW) direct radiative effects (DREs) on 550 atmospheric scenes, identified within the 2007–2020 period, in which the primary tropospheric aerosol species (dust, marine, polluted continental/smoke, elevated smoke, and clean continental) are probed using CALIPSO. RTM runs have been performed relying on CALIOP retrievals in which the default and the DeLiAn (Depolarization ratio, Lidar ratio, and Ångström exponent)-based aerosol-speciated LRs are considered. The simulated fields from both configurations are compared against those produced when AERONET AODs are applied. Overall, the DeLiAn LRs leads to better results mainly when mineral particles are either solely recorded or coexist with other aerosol species (e.g., sea-salt). In quantitative terms, the errors in DREs are reduced by ~26–27% at the surface (from 5.3 to 3.9 W/m2) and within the atmosphere (from −3.3 to −2.4 W/m2). The improvements become more significant (reaching up to ~35%) for moderate-to-high aerosol loads (AOD ≥ 0.2).

show abstract

Effect of Aerosol Vertical Distribution on the Modeling of Solar Radiation

Cited by 8 publications

References 84 publications

Using Radiometric Measurements to Separate Dust and Smoke Radiative Effects during a Combined Smoke–Dust Event

Using Radiometric Measurements to Separate Dust and Smoke Radiative Effects during a Combined Smoke–Dust Event

Rooftop Photovoltaic Energy Production Estimations in India Using Remotely Sensed Data and Methods

Assessing Lidar Ratio Impact on CALIPSO Retrievals Utilized for the Estimation of Aerosol SW Radiative Effects across North Africa, the Middle East, and Europe

Contact Info

Product

Resources

About