Ground-based validation of aerosol optical depth from CAMS reanalysis project: An uncertainty input on direct normal irradiance under cloud-free conditions

Salamalikis, Vasileios; Vamvakas, Ioannis; Blanc, Philippe; Kazantzidis, Andreas

doi:10.1016/j.renene.2021.02.025

Cited by 18 publications

(7 citation statements)

References 41 publications

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“…It is posited that the underestimation may, in part, be due to CAMS’ aerosol modeling system, which assimilates data from five aerosol types, excluding nitrates, an omission noted by Zhang et al ( 2020 ) to potentially contribute to discrepancies in regions with high nitrate fractions like Europe and China. This underestimation is consistent with findings from various studies evaluating CAMS AOD products against AERONET data in different areas (Isaza et al 2021 ; Ukhov et al 2020 ; Lee et al 2021 ; Salamalikis et al 2021 ), such as the correlation range of 0.65 to 0.87 reported by Ukhov et al ( 2020 ) in the Middle East. Kapsomenakis et al ( 2022 ) also noted that the CAMS reanalysis tends to underestimate AOD compared to ground-based observations, especially in desert regions where mineral dust aerosols predominate.…”

Section: Resultssupporting

confidence: 91%

“…Recent global and independent studies have begun to validate CAMS aerosol data (Gueymard and Yang 2020 ; Misra et al 2020 ; Ukhov et al 2020 ; Witthuhn et al 2020 ; Zhang et al 2020 ; Isaza et al 2021 ; Salamalikis et al 2021 ; Garrigues et al 2022 ). CAMS also released a report detailing the global validation results of its aerosol and reactive trace gas reanalyses from 2003 to 2021 (Kapsomenakis et al 2022 ).…”

Section: Introductionmentioning

confidence: 99%

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Comparative analysis of CAMS aerosol optical depth data and AERONET observations in the Eastern Mediterranean over 19 years

Tuna Tuygun,

Elbir

2024

Environ Sci Pollut Res

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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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Section: Resultssupporting

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Comparative analysis of CAMS aerosol optical depth data and AERONET observations in the Eastern Mediterranean over 19 years

Tuna Tuygun,

Elbir

2024

Environ Sci Pollut Res

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“…Consequently, the correlation coefficients are only 0.64 and 0.62 for CAMS and MERRA-2, respectively. The fact that bias in reanalysis AOD is unavoidable must be noted, as stated by several studies (Mukkavilli et al, 2019;Song et al, 2018;Salamalikis et al, 2021;Gueymard and Yang, 2020). Furthermore, some aerosol layers could not be fully detected by CALIOP due to the weak signal to noise ratio as discussed in Sect.…”

Section: Comparison Of Observed and Simulated Smoke Layersmentioning

confidence: 91%

Monitoring biomass burning aerosol transport using CALIOP observations and reanalysis models: a Canadian wildfire event in 2019

Shang,

Lipponen,

Filioglou

et al. 2023

Preprint

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Abstract. In May–June 2019, smoke plumes from wildfires in Alberta, Canada, were advected all the way to Europe. To analyze the evolution of the plumes and to estimate the amount of smoke aerosols transported to Europe, retrievals from the space-borne lidar CALIOP (Cloud-Aerosol Lidar with Orthogonal Polarization) were used. The plumes were located with the help of a trajectory analysis, and the mass of smoke aerosols were retrieved from the CALIOP observations. The accuracy of the CALIOP mass retrievals was compared with the accuracy of ground-based lidars/ceilometer near the source in North America and after the long-range transport in Europe. Overall, CALIOP and the ground-based lidars/ceilometer produced comparable results. Over North America the CALIOP layer mean mass was 30 % smaller than the ground-based estimates, whereas over Southern Europe that difference varied between 12 % and 43 %. Finally, the CALIOP mass retrievals were compared with simulated aerosol concentrations from two reanalysis models, MERRA-2 (Modern-Era Retrospective analysis for Research and Applications, Version 2) and CAMS (Copernicus Atmospheric Monitoring System). The simulated total column aerosol optical depths (AOD) and the total column mass concentration of smoke agreed quite well with CALIOP observations, but the comparison of the layer mass concentration of smoke showed significant discrepancies. The amount of smoke aerosols in the model simulations was consistently smaller than in the CALIOP retrievals. These results highlight the limitations of such models, and more specifically their limitation to reproduce properly the smoke vertical distribution. They indicate that CALIOP is a useful tool monitoring smoke plumes over secluded areas whereas reanalysis models have difficulties in representing the aerosol mass in these plumes. This study shows the advantages of space-borne aerosol lidars, e.g. being of paramount importance to monitor smoke plumes, and reveals the urgent need of future lidar missions in space.

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“…The spatial resolution of the aerosol optical depth at a 550 nm forecast used in the present study was 0.4 • × 0.4 • (spatial resolution of the CAMS forecasts), whereas the temporal resolution of CAMS reanalysis is 3 hourly. The use of the CAMS AOD and other details are described in several earlier papers, and are hence not repeated here [36,42,[46][47][48][49].…”

Section: Aerosol Modellingmentioning

confidence: 99%

Can Forest Fires Be an Important Factor in the Reduction in Solar Power Production in India?

et al. 2022

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The wildfires over the central Indian Himalayan region have attracted the significant attention of environmental scientists. Despite their major and disastrous effects on the environment and air quality, studies on the forest fires’ impacts from a renewable energy point of view are lacking for this region. Therefore, for the first time, we examine the impact of massive forest fires on the reduction in solar energy production over the Indian subcontinent via remote sensing techniques. For this purpose, we used data from the Moderate Resolution Imaging Spectroradiometer (MODIS), the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIPSO), the Satellite Application Facility on support to Nowcasting/Very Short-Range Forecasting Meteosat Second Generation (SAFNWC/MSG) in conjunction with radiative transfer model (RTM) simulation, in addition to 1-day aerosol forecasts from the Copernicus Atmosphere Monitoring Service (CAMS). The energy production during the first quarter of 2021 was found to reach 650 kWh/m2 and the revenue generated was about INR (Indian rupee) 79.5 million. During the study period, the total attenuation due to aerosols and clouds was estimated to be 116 and 63 kWh/m2 for global and beam horizontal irradiance (GHI and BHI), respectively. The financial loss due to the presence of aerosols was found to be INR 8 million, with the corresponding loss due to clouds reaching INR 14 million for the total Indian solar plant’s capacity potential (40 GW). This analysis of daily energy and financial losses can help the grid operators in planning and scheduling power generation and supply during the period of fires. The findings of the present study will drastically increase the awareness among the decision makers in India about the indirect effects of forest fires on renewable energy production, and help promote the reduction in carbon emissions and greenhouse gases in the air, along with the increase in mitigation processes and policies.

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Ground-based validation of aerosol optical depth from CAMS reanalysis project: An uncertainty input on direct normal irradiance under cloud-free conditions

Cited by 18 publications

References 41 publications

Comparative analysis of CAMS aerosol optical depth data and AERONET observations in the Eastern Mediterranean over 19 years

Comparative analysis of CAMS aerosol optical depth data and AERONET observations in the Eastern Mediterranean over 19 years

Monitoring biomass burning aerosol transport using CALIOP observations and reanalysis models: a Canadian wildfire event in 2019

Can Forest Fires Be an Important Factor in the Reduction in Solar Power Production in India?

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