Evaluation of the LOTOS-EUROS NO&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; simulations using ground-based measurements and S5P/TROPOMI observations over Greece

Skoulidou, Ioanna; Koukouli, Maria-Elissavet; Manders, Astrid; Segers, Arjo; Karagkiozidis, Dimitris; Gratsea, Myrto; Balis, Dimitris; Bais, A. F.; Gerasopoulos, E.; Stavrakou, T.; Geffen, Jos van; Eskes, Henk; Richter, Andreas

doi:10.5194/acp-21-5269-2021

Cited by 20 publications

(14 citation statements)

References 48 publications

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“…Emissions from biomass burning are obtained from the Global Fire Assimilation System (GFAS) dataset [24]. An extensive evaluation of the overall LOTOS-EUROS performance over Greece using ground-based measurements and satellite derived observations has been performed by [25]. In summary, it has been found that the modelled NO2 columns show a high spatial correlation (0.95) and a negative bias of −18% when compared with S5P/TROPOMI tropospheric columns over Athens in the summertime.…”

Section: The Lotos-euros Ctmmentioning

confidence: 99%

“…In summary, it has been found that the modelled NO2 columns show a high spatial correlation (0.95) and a negative bias of −18% when compared with S5P/TROPOMI tropospheric columns over Athens in the summertime. The a priori emission inventory and boundary layer height assumptions were found to be significant sources of uncertainty in An extensive evaluation of the overall LOTOS-EUROS performance over Greece using ground-based measurements and satellite derived observations has been performed by [25]. In summary, it has been found that the modelled NO 2 columns show a high spatial correlation (0.95) and a negative bias of −18% when compared with S5P/TROPOMI tropospheric columns over Athens in the summertime.…”

Section: The Lotos-euros Ctmmentioning

confidence: 99%

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Changes in Power Plant NOx Emissions over Northwest Greece Using a Data Assimilation Technique

Skoulidou

Koukouli

Segers³

et al. 2021

Atmosphere

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In this work, we investigate the ability of a data assimilation technique and space-borne observations to quantify and monitor changes in nitrogen oxides (NOx) emissions over Northwestern Greece for the summers of 2018 and 2019. In this region, four lignite-burning power plants are located. The data assimilation technique, based on the Ensemble Kalman Filter method, is employed to combine space-borne atmospheric observations from the high spatial resolution Sentinel-5 Precursor (S5P) Tropospheric Monitoring Instrument (TROPOMI) and simulations using the LOTOS-EUROS Chemical Transport model. The Copernicus Atmosphere Monitoring Service-Regional European emissions (CAMS-REG, version 4.2) inventory based on the year 2015 is used as the a priori emissions in the simulations. Surface measurements of nitrogen dioxide (NO2) from air quality stations operating in the region are compared with the model surface NO2 output using either the a priori (base run) or the a posteriori (assimilated run) NOx emissions. Relative to the a priori emissions, the assimilation suggests a strong decrease in concentrations for the station located near the largest power plant, by 80% in 2019 and by 67% in 2018. Concerning the estimated annual a posteriori NOx emissions, it was found that, for the pixels hosting the two largest power plants, the assimilated run results in emissions decreased by ~40–50% for 2018 compared to 2015, whereas a larger decrease, of ~70% for both power plants, was found for 2019, after assimilating the space-born observations. For the same power plants, the European Pollutant Release and Transfer Register (E-PRTR) reports decreased emissions in 2018 and 2019 compared to 2015 (−35% and −38% in 2018, −62% and −72% in 2019), in good agreement with the estimated emissions. We further compare the a posteriori emissions to the reported energy production of the power plants during the summer of 2018 and 2019. Mean decreases of about −35% and−63% in NOx emissions are estimated for the two larger power plants in summer of 2018 and 2019, respectively, which are supported by similar decreases in the reported energy production of the power plants (~−30% and −70%, respectively).

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Section: The Lotos-euros Ctmmentioning

confidence: 99%

Section: The Lotos-euros Ctmmentioning

confidence: 99%

Changes in Power Plant NOx Emissions over Northwest Greece Using a Data Assimilation Technique

Skoulidou

Koukouli

Segers³

et al. 2021

Atmosphere

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“…More specifically, a recent analysis studying the sensitivity of the OMI observed NO 2 columns to anthropogenic emissions concluded that the contribution of the increasing shipping emissions in adjacent areas may mask a significant part of national emission reductions [35]. An evaluation of the model performance over Greece was recently conducted while, over high emitting locations such as power plants, the modelled columns were found to be highly spatially correlated (R = 0.95) with the TROPOMI tropospheric columns [36,37]. LOTOS-EUROS NO 2 simulations were also performed in order to quantify the effects of the lockdown due to the COVID-19 pandemic over Greece as observed by TROPOMI [27].…”

Section: The Lotos-euros Ctm Simulationsmentioning

confidence: 99%

A New Separation Methodology for the Maritime Sector Emissions over the Mediterranean and Black Sea Regions

et al. 2021

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The aim of this paper is to apply a new lane separation methodology for the maritime sector emissions attributed to the different vessel types and marine traffic loads in the Mediterranean and the Black Sea defined via the European Marine and Observation Data network (EMODnet), developed in 2016. This methodology is implemented for the first time on the Copernicus Atmospheric Monitoring Service Global Shipping (CAMS-GLOB-SHIP v2.1) nitrogen oxides (NOX) emissions inventory, on the Sentinel-5 Precursor Tropospheric Monitoring Instrument (TROPOMI) nitrogen dioxide (NO2) tropospheric vertical column densities, and on the LOTOS-EUROS (Long Term Ozone Simulation—European Operational Smog) CTM (chemical transport model) simulations. By applying this new EMODnet-based lane separation method to the CAMS-GLOB-SHIP v2.1 emission inventory, we find that cargo and tanker vessels account for approximately 80% of the total emissions in the Mediterranean, followed by fishing, passenger, and other vessel emissions with contributions of 8%, 7%, and 5%, respectively. Tropospheric NO2 vertical column densities sensed by TROPOMI for 2019 and simulated by the LOTOS-EUROS CTM have been successfully attributed to the major vessel activities in the Mediterranean; the mean annual NO2 load of the observations and the simulations reported for the entire maritime EMODnet-reported fleet of the Mediterranean is in satisfactory agreement, 1.26 ± 0.56 × 1015 molecules cm−2 and 0.98 ± 0.41 × 1015 molecules cm−2, respectively. The spatial correlation of the annual maritime NO2 loads of all vessel types between observation and simulation ranges between 0.93 and 0.98. On a seasonal basis, both observations and simulations show a common variability. The wintertime comparisons are in excellent agreement for the highest emitting sector, cargo vessels, with the observations reporting a mean load of 0.98 ± 0.54 and the simulations of 0.81 ± 0.45 × 1015 molecules cm−2 and correlation of 0.88. Similarly, the passenger sector reports 0.45 ± 0.49 and 0.39 ± 0.45 × 1015 molecules cm−2 respectively, with correlation of 0.95. In summertime, the simulations report a higher decrease in modelled tropospheric columns than the observations, however, still resulting in a high correlation between 0.85 and 0.94 for all sectors. These encouraging findings will permit us to proceed with creating a top-down inventory for NOx shipping emissions using S5P/TROPOMI satellite observations and a data assimilation technique based on the LOTOS-EUROS chemical transport model.

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“…LOTOS-EUROS is one of the nine state-of-the-art systems used in the operational Copernicus Atmosphere Monitoring Services (CAMS, https://atmosphere.copernicus.eu/). An extensive evaluation of the overall model performance over Greece using ground-based measurements and satellite derived observations has been performed by [14]. In summary, it has been found that the modelled NO2 columns show a high spatial correlation (0.95) and a negative bias of -18% when compared with S5P/TROPOMI tropospheric columns over Athens in summertime.…”

Section: The Lotos-euros Ctmmentioning

confidence: 99%

Changes in Power Plant NO<sub>x</sub> Emissions over Northwest Greece Using a Data Assimilation Technique

Skoulidou¹,

Koukouli²,

Segers³

et al. 2021

Preprint

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In this work, we investigate the ability of a data assimilation technique and space-borne observations to quantify and monitor changes in nitrogen oxides (NOx) emissions over North-Western Greece for the summers of 2018 and 2019. In this region, four lignite-burning power plants are located. The data assimilation technique, based on the Ensemble Kalman Filter method, is employed to combine space-borne atmospheric observations from the high spatial resolution Sentinel-5 Precursor (S5P) Tropospheric Monitoring Instrument (TROPOMI) and simulations using the LOTOS-EUROS Chemical Transport model. The Copernicus Atmosphere Monitoring Service-Regional European emissions (CAMS-REG, version 4.2) inventory based on year 2015 is used as the a priori in the simulations. Surface measurements of nitrogen dioxide (NO2) from air quality stations operating in the region are compared with the model surface NO2 output using either the a priori (base run) or the a posteriori (assimilated run) NOx emissions. The high biases found between the in situ NO2 measurements and the base run surface NO2 decrease in the assimilated run in most cases. The bias in the station near the largest power plant decreases to 2.0 μg/m3 (2.83 μg/m3) from 10.5 μg/m3 (8.46 μg/m3) in 2019 (2018 respectively). Concerning the estimated annual a posteriori NOx emissions it was found that, for the pixels hosting the two largest power plants, the assimilated run results in emissions decreased by ~40-50% for 2018 compared to 2015, whereas a larger decrease, of ~70% for both power plants, was found for 2019, after assimilating the space-born observations. For the same power plants, the European Pollutant Release and Transfer Register (E-PRTR) reports decreased emissions in 2018 and 2019 compared to 2015 (-35% and -38% in 2018, -62% and -72% in 2019), in good agreement with the estimated emissions. We further compare the a posteriori emissions to the reported energy production of the power plants during the summer of 2018 and 2019. Mean decreases of about -35% and-63% in NOx emissions are estimated for the two larger power plants in summer of 2018 and 2019, respectively, which are supported by similar decreases in the reported energy production of the power plants (~-30% and -70%, respectively).

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Evaluation of the LOTOS-EUROS NO<sub>2</sub> simulations using ground-based measurements and S5P/TROPOMI observations over Greece

Cited by 20 publications

References 48 publications

Changes in Power Plant NOx Emissions over Northwest Greece Using a Data Assimilation Technique

Changes in Power Plant NOx Emissions over Northwest Greece Using a Data Assimilation Technique

A New Separation Methodology for the Maritime Sector Emissions over the Mediterranean and Black Sea Regions

Changes in Power Plant NO<sub>x</sub> Emissions over Northwest Greece Using a Data Assimilation Technique

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