Analysis of aerosol transport over southern Poland in August 2015 based on a synergy of remote sensing and backward trajectory techniques

Szkop, Artur; Pietruczuk, Aleksander

doi:10.1117/1.jrs.11.016039

Cited by 12 publications

(10 citation statements)

References 44 publications

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“…The analysis was undertaken for Poland, which is known for its low air quality, especially in the winter season. The simulations were run for two episodes, which have been previously discussed in the literature [23,24]. The first episode ran from 11-25 February 2017 and the second selected episode from 1-20 August 2015.…”

Section: Discussionmentioning

confidence: 99%

“…We chose two episodes that differ in terms of prevailing emission sources and meteorological conditions, both of which were previously identified from poor error statistics. Both episodes have previously been discussed in the literature [23,24]. The winter episode covered the period from 11-25 February 2017.…”

Section: The Episodesmentioning

confidence: 94%

“…This was an unusually warm month in Poland, with several episodes of elevated AOD observed in Southern Poland, especially during the first half of the month. Back trajectory analysis with the HYSPLIT (Hybrid Single Particle Lagrangian Integrated Trajectory) model, presented by Szkop and Pietruczuk [24], suggests that the source region for aerosols measured during the first half of this month was located to the south and east of Poland, most likely over Ukraine, where an area with many biomass fires was located. The mean measured surface PM2.5 concentration over Poland was 14 µg m −3 (SD equal to 5 µg m −3 ) for the entire summer period of 2015 and 18 µg m −3 (SD equal to 7 µg m −3 ) for the episode.…”

Section: The Episodesmentioning

confidence: 95%

“…The summer episode covered the period from 1-20 August 2015. This month was selected as it had been previously analyzed in detail by Szkop and Pietruczuk [24]. This was an unusually warm month in Poland, with several episodes of elevated AOD observed in Southern Poland, especially during the first half of the month.…”

Section: The Episodesmentioning

confidence: 99%

See 3 more Smart Citations

Can Data Assimilation of Surface PM2.5 and Satellite AOD Improve WRF-Chem Forecasting? A Case Study for Two Scenarios of Particulate Air Pollution Episodes in Poland

2019

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Based on the Weather Research and Forecasting model with Chemistry (WRF-Chem) model and Gridpoint Statistical Interpolation (GSI) assimilation tool, a forecasting system was used for two selected episodes (winter and summer) over Eastern Europe. During the winter episode, very high particular matter (PM2.5, diameter less than 2.5 µm) concentrations, related to low air temperatures and increased emission from residential heating, were measured at many stations in Poland. During the summer episode, elevated aerosol optical depth (AOD), likely related to the transport of pollution from biomass fires, was observed in Southern Poland. Our aim is to verify if there is a relevant positive impact of surface and satellite data assimilation (DA) on modeled PM2.5 concentrations, and to assess whether there are significant differences in the DA’s impact on concentrations between the two seasons. The results show a significant difference in the impact of surface and satellite DA on the model results between the summer and winter episode, which to a large degree is related to the availability of the satellite data. For example, the application of satellite DA raises the factor of two statistic from 0.18 to 0.78 for the summer episode, whereas this statistic remains unchanged (0.71) for the winter. The study suggests that severe winter air pollution episodes in Poland and Eastern Europe in general, often related to the dense cover of low clouds, will benefit from the assimilation of surface observations rather than satellite data, which can be very sparse in such meteorological situations. In contrast, the assimilation of satellite data can have a greater positive impact on the model results during summer than the assimilation of surface data for the same period.

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Section: Discussionmentioning

confidence: 99%

Section: The Episodesmentioning

confidence: 94%

Section: The Episodesmentioning

confidence: 95%

Section: The Episodesmentioning

confidence: 99%

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Can Data Assimilation of Surface PM2.5 and Satellite AOD Improve WRF-Chem Forecasting? A Case Study for Two Scenarios of Particulate Air Pollution Episodes in Poland

2019

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“…These can be attributed to air masses of either local or advection driven origin. For the latter case, one may consider long-range transported pollution such as arctic haze [36], mineral dust intrusions [16,35,37,38], volcanic aerosols [39][40][41] and biomass burning [7,25,27,42]. Aerosol properties within the multi-layered atmosphere can be observed by means of height-resolved ground-based or satellite lidar observations (e.g., EARLINET, PollyNET, CATS); although for the majority of world-wide spread ground-based lidars, the spectral measurements are not available due to their complexity, high development cost and necessity to employ skilled personnel for lidar operation and data retrieval.…”

Section: Introductionmentioning

confidence: 99%

Modification of Local Urban Aerosol Properties by Long-Range Transport of Biomass Burning Aerosol

et al. 2018

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During August 2016, a quasi-stationary high-pressure system spreading over Central and NorthEastern Europe, caused weather conditions that allowed for 24/7 observations of aerosol optical properties by using a complex multi-wavelength PollyXT lidar system with Raman, polarization and water vapour capabilities, based at the European Aerosol Research Lidar Network (EARLINET network) urban site in Warsaw, Poland. During 24-30 August 2016, the lidar-derived products (boundary layer height, aerosol optical depth, Ångström exponent, lidar ratio, depolarization ratio) were analysed in terms of air mass transport (HYSPLIT model), aerosol load (CAMS data) and type (NAAPS model) and confronted with active and passive remote sensing at the ground level (PolandAOD, AERONET, WIOS-AQ networks) and aboard satellites (SEVIRI, MODIS, CATS sensors). Optical properties for less than a day-old fresh biomass burning aerosol, advected into Warsaw's boundary layer from over Ukraine, were compared with the properties of long-range transported 3-5 day-old aged biomass burning aerosol detected in the free troposphere over Warsaw. Analyses of temporal changes of aerosol properties within the

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Impact of a Saharan dust intrusion over southern Spain on DNI estimation with sky cameras

Alonso-Montesinos

Barbero

Polo

et al. 2017

Atmospheric Environment

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Analysis of aerosol transport over southern Poland in August 2015 based on a synergy of remote sensing and backward trajectory techniques

Cited by 12 publications

References 44 publications

Can Data Assimilation of Surface PM2.5 and Satellite AOD Improve WRF-Chem Forecasting? A Case Study for Two Scenarios of Particulate Air Pollution Episodes in Poland

Can Data Assimilation of Surface PM2.5 and Satellite AOD Improve WRF-Chem Forecasting? A Case Study for Two Scenarios of Particulate Air Pollution Episodes in Poland

Modification of Local Urban Aerosol Properties by Long-Range Transport of Biomass Burning Aerosol

Impact of a Saharan dust intrusion over southern Spain on DNI estimation with sky cameras

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