Aerosol-Radiation Feedback and PM10 Air Concentrations Over Poland

Werner, Małgorzata; Kryza, Maciej; Skjøth, Carsten Ambelas; Wałaszek, Kinga; Dore, Anthony J.; Ojrzyńska, Hanna; Kapłon, Jan

doi:10.1007/s00024-016-1267-2

Cited by 12 publications

(10 citation statements)

References 30 publications

(15 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The meteorological initial and lateral boundary conditions used in WRF-Chem were from the NCEP FNL (final) analysis data with a 1° × 1° spatial resolution. Four-dimensional data assimilation ( Werner et al 2018 ) was used to improve the accuracy of the simulation results. The nudging coefficients of temperature, water vapor, and horizontal wind components were 3 × 10 −4 s −1 , 1 × 10 −5 s −1 , and 3 × 10 −4 s −1 , respectively ( Otte 2008 ).…”

Section: Data and Model Descriptionmentioning

confidence: 99%

Impacts of the meteorological condition versus emissions reduction on the PM2.5 concentration over Beijing–Tianjin–Hebei during the COVID-19 lockdown

Zhang¹,

Ma²,

Gao³

et al. 2021

Atmospheric and Oceanic Science Letters

View full text Add to dashboard Cite

Section: Data and Model Descriptionmentioning

confidence: 99%

Impacts of the meteorological condition versus emissions reduction on the PM2.5 concentration over Beijing–Tianjin–Hebei during the COVID-19 lockdown

Zhang¹,

Ma²,

Gao³

et al. 2021

Atmospheric and Oceanic Science Letters

View full text Add to dashboard Cite

“…TRAN includes horizontal and vertical advection, which is highly related to wind and aerosol concentration gradients from upwind regions to downwind areas (Gao et al, 2018). DRYD is based on resistance models for trace gases (Wesely, 1989) and aerosol particles (Ackermann et al, 1998). SGCV refers to the scavenging within the sub-grid wet convective updrafts.…”

Section: Integrated Process Rate (Ipr) Analysismentioning

confidence: 99%

Assessing the formation and evolution mechanisms of severe haze pollution in the Beijing–Tianjin–Hebei region using process analysis

et al. 2019

View full text Add to dashboard Cite

Abstract. Fine-particle pollution associated with haze threatens human health, especially in the North China Plain region, where extremely high PM2.5 concentrations are frequently observed during winter. In this study, the Weather Research and Forecasting with Chemistry (WRF-Chem) model coupled with an improved integrated process analysis scheme was used to investigate the formation and evolution mechanisms of a haze event over the Beijing–Tianjin–Hebei (BTH) region in December 2015; this included an examination of the contributions of local emissions and regional transport to the PM2.5 concentration in the BTH area, and the contributions of each detailed physical or chemical process to the variations in the PM2.5 concentration. The mechanisms influencing aerosol radiative forcing (including aerosol direct and indirect effects) were also examined by using process analysis. During the aerosol accumulation stage (16–22 December, Stage 1), the near-surface PM2.5 concentration in the BTH region increased from 24.2 to 289.8 µg m−3, with the contributions of regional transport increasing from 12 % to 40 %, while the contribution of local emissions decreased from 59 % to 38 %. During the aerosol dispersion stage (23–27 December, Stage 2), the average concentration of PM2.5 was 107.9 µg m−3, which was contributed by local emissions (51 %) and regional transport (24 %). The 24 h change (23:00 minus 00:00 LST) in the near-surface PM2.5 concentration was +43.9 µg m−3 during Stage 1 and −41.5 µg m−3 during Stage 2. The contributions of aerosol chemistry, advection, and vertical mixing to the 24 h change were +29.6 (+17.9) µg m−3, −71.8 (−103.6) µg m−3, and −177.3 (−221.6) µg m−3 during Stage 1 (Stage 2), respectively. Small differences in the contributions of other processes were found between Stage 1 and Stage 2. Therefore, the PM2.5 increase over the BTH region during the haze formation stage was mainly attributed to strong production by the aerosol chemistry process and weak removal by the advection and vertical mixing processes. When aerosol radiative feedback was considered, the 24 h PM2.5 increase was enhanced by 4.8 µg m−3 during Stage 1, which could be mainly attributed to the contributions of the vertical mixing process (+22.5 µg m−3), the advection process (−19.6 µg m−3), and the aerosol chemistry process (+1.2 µg m−3). The restrained vertical mixing was the primary reason for the enhancement in the near-surface PM2.5 increase when aerosol radiative forcing was considered.

show abstract

“…In addition, NWP are also used for offline regional/urban air quality applications, where the meteorological simulation outputs are used as inputs for a chemical transport model (CTM). These offline approaches discard, on one hand, the influence that Atmosphere 2021, 12, 288 2 of 15 the atmospheric composition might have on both weather and climate and, on the other hand, can lead to a loss of important information about physical and chemical processes occurring on a time scale much smaller than the frequency of the meteorological model outputs [2,6,7]. Nevertheless, most meteorology-chemistry modelling systems remain to be driven in offline mode [1,8], since the offline coupling has a low computational cost, especially if the meteorological outputs are already available.…”

Section: Introductionmentioning

confidence: 99%

The Role of the Atmospheric Aerosol in Weather Forecasts for the Iberian Peninsula: Investigating the Direct Effects Using the WRF-Chem Model

et al. 2021

View full text Add to dashboard Cite

In the atmosphere, aerosols play an important role in climate change, the Earth’s environment and human health. The purpose of this study is to investigate the direct and semi-direct aerosol effects on weather forecasting, focusing on the Iberian Peninsula (IP). To that end, two Weather Research and Forecasting (WRF)-Chem simulations (with and without aerosol feedback) for an entire year (2015) were performed. The model setup includes two nested domains run in two-way mode, allowing the downscaling for the IP domain at a 5 × 5 km2 high-horizontal resolution. The results were explored through agreement of pairs of time series and their spatial variability in order to analyse the importance of including the online-coupled aerosol radiative effect on the meteorological variables: shortwave (solar) radiation, air temperature and precipitation. Significant variations of agreement were found when capturing both temporal and spatial patterns of the analysed meteorological variables. While the spatial distribution of temperature and precipitation is similar throughout the IP domain, with agreement values ranging from 0.87 up to 1.00, the solar radiation presents a distinct spatial pattern with lower agreement values (0.68–0.75) over ocean and higher agreement (0.75–0.98) over land regions. With regard to the spatial differences between simulations, the aerosol contributed to a considerable decrease in annual mean and maximum radiation (up to 20 and 40 Wm−2, respectively), slightly impacting the temperature variation (up to 0.5 °C). These results suggest that the aerosol feedback effects should be accounted when performing weather forecasts, and not only for purposes of air quality assessment.

show abstract

Aerosol-Radiation Feedback and PM10 Air Concentrations Over Poland

Cited by 12 publications

References 30 publications

Impacts of the meteorological condition versus emissions reduction on the PM2.5 concentration over Beijing–Tianjin–Hebei during the COVID-19 lockdown

Impacts of the meteorological condition versus emissions reduction on the PM2.5 concentration over Beijing–Tianjin–Hebei during the COVID-19 lockdown

Assessing the formation and evolution mechanisms of severe haze pollution in the Beijing–Tianjin–Hebei region using process analysis

The Role of the Atmospheric Aerosol in Weather Forecasts for the Iberian Peninsula: Investigating the Direct Effects Using the WRF-Chem Model

Contact Info

Product

Resources

About