• 51.114°N 17.035°E 120 m a.s.l.

Observational platform

Poland

• University of Wrocław (UW)

https://www.meteo.uni.wroc.pl/

• Anetta Drzenicka-Osiadacz
  Facility PI
• Tymoteusz Sawiński
  PI deputy

The Wrocław University Observatory Platform is a part of the Meteorological Observatory operated by the Department of Climatology and Atmosphere Protection at the University of Wrocław.
The city of Wrocław (area: 293 km²), the capital of the Lower Silesia province, is located in southwestern Poland (51°N, 17°E), near the WSW border of Poland. Wrocław's population is 893,506, It is also the central hub of Wrocław’s metropolitan area, which has around 1 million inhabitants. The city’s terrain is relatively flat, with an altitude ranging from 105 to 148 m a.sl. Wrocław is situated on the Odra River and its four tributaries, which form the lowest parts of the city and serve as its primary ventilation channels. A large portion of Wrocław’s land is covered by green areas (forests, grasslands, wastelands, and parks) and agricultural areas, accounting for over 60% of the city’s surface. Other dominant landscape features include industrial areas (13%) and built-up areas (17%).

Harmonized measurements of atmospheric properties, including in situ aerosol and bioaerosol properties, vertical aerosol distribution using LIDAR, and columnar properties from sun photometers, complemented with standard meteorological data and vertical profiling (via drones and Doppler sodar), offer a unique opportunity to comprehensively characterize air quality processes in the lower troposphere. The research team's extensive experience in stationary and mobile air pollution measurements, atmospheric modelling (WRF, WRF-Chem, EMEP, uEMEP, ADMS), climate analysis health impact assessments make this a multidisciplinary hub for studying the temporal and spatial variability of properties of atmospheric aerosols within the city areas and advancing high-resolution air quality models.

• Porwisiak et al. (2024). Application of ADMS-Urban for an area with a high contribution of residential heating emissions - model verification and sensitivity study for PM2.5. Science of The Total Environment, 907, 168011. https://doi.org/10.1016/j.scitotenv.2023.168011
• Adamkiewicz et al. (2020). Estimating Health Impacts Due to the Reduction of Particulate Air Pollution from the Household Sector Expected under Various Scenarios. Applied Sciences, 11(1), 272. https://doi.org/10.3390/app11010272
• Kryza et al. (2020). The Effect of Emission Inventory on Modelling of Seasonal Exposure Metrics of Particulate Matter and Ozone with the WRF-Chem Model for Poland. Sustainability, 12(13), 5414. https://doi.org/10.3390/su12135414
• Merenda et al. (2024). Influence of meteorological conditions on the variability of indoor and outdoor particulate matter concentrations in a selected Polish health resort. Sci Rep, 14(1). https://doi.org/10.1038/s41598-024-70081-7
• Skjøth et al. (2021). Air Pollution Affecting Pollen Concentrations through Radiative Feedback in the Atmosphere. Atmosphere, 12(11), 1376. https://doi.org/10.3390/atmos12111376
• Werner et al. (2022). The impact of data assimilation into the meteorological WRF model on birch pollen modelling. Science of The Total Environment, 807, 151028. https://doi.org/10.1016/j.scitotenv.2021.151028
• Porwisiak et al. (2023). Modelling benzo(a)pyrene concentrations for different meteorological conditions – Analysis of lung cancer cases and associated economic costs. Environment International, 173, 107863. https://doi.org/10.1016/J.ENVINT.2023.107863
• Górka et al. (2023). The impact of seasonality and meteorological conditions on PM2.5 carbonaceous fractions coupled with carbon isotope analysis: Advantages, weaknesses and interpretation pitfalls. Atmospheric Research, 290, 106800. https://doi.org/10.1016/j.atmosres.2023.106800