A Multy-Domain Operational Chemical Weather Forecast System

Cybernetics and Information Technologies

Gadzhev

Ganev

et al. 2017

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Section: Resultsmentioning

confidence: 99%

High Performance Computing Simulations of the Atmospheric Composition in Bulgaria and the City of Sofia

Cybernetics and Information Technologies

Gadzhev

Ganev

et al. 2017

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“…For this study, we used the offline version of the Bulgarian Chemical Weather Forecast System (BgCWFS) [33][34][35][36][37] running operationally at NIMH since 2012. BgCWFS was designed based on the widely used US Environmental Protection Agency (EPA) Models-…”

Section: The Bulgarian Chemical Weather Forecast System (Bgcwfs)mentioning

confidence: 99%

“…The Bulgarian Chemical Weather Forecast System, running operationally in Bulgaria since 2012 [33][34][35][36][37], was built upon the WRF-CMAQ model chain (see details in Section 2.2). Evaluation of results upon surface observations indicated underestimations of particulate matter [38].…”

Section: Introductionmentioning

confidence: 99%

Use of Satellite Data for Air Pollution Modeling in Bulgaria

Syrakov

Atanassov

et al. 2021

Earth

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Air pollution continues to be of concern for Bulgarian cities, mainly due to particulate matter of aerodynamic diameter smaller than 10 μm (PM10). There is public and expert interest in the improvement of two operational air quality modeling systems: the Bulgarian Chemical Weather Forecast System (BgCWFS) and the Local Air Quality Management System (LAQMS) for the city of Plovdiv. The aim of the study is to investigate the effects of satellite data assimilation in BgCWFS on surface concentrations over Bulgaria (resolution 9 km), to downscale BgCWFS output to LAQMS (resolution 250 m), and to examine effects on PM10 in Plovdiv. Data from the Global Ozone Monitoring Experiment-2 (GOME-2) (MetOP satellites) for aerosols, nitrogen dioxide (NO2), and sulfur dioxide (SO2) were assimilated in BgCWFS using objective analysis. Simulation experiments with and without satellite data were conducted for a summer and a winter month. The comparison to surface observations in the country showed improvement of results when using satellite data, especially in the summer due to mineral dust events captured by satellites. The decrease in the normalized mean bias (NMB) over the two months was 43% (PM10) and 73% (SO2). The LAQMS estimated background contributions to PM10 in the city as 32%. The absolute NMB by LAQMS decreased by 38%.

“…The air pollution modelling system BgCwFS (Syrakov et al, 2013a(Syrakov et al, , 2013b(Syrakov et al, , 2014 has been designed based on the US EPA Models-3 air quality modelling system and exploits the models: As initial and boundary conditions for the WRF model, data provided by the National Centres for Environmental Prediction (NCEP) Global Forecast System (GFS) with space resolution of 1° × 1° and temporal resolution of 6 h are used. These data are accessed free of charge and their downloading is invoked automatically every day at 00:00Z.…”

Section: The Modelling Systemmentioning

confidence: 99%

Applying WRF-CMAQ models for assessment of sulphur and nitrogen deposition in Bulgaria for the years 2016 and 2017

Syrakov

Prodanova

et al. 2019

IJEP

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Wet, dry and total depositions of sulphur (S) and nitrogen (N) in Bulgaria are simulated on an annual and seasonal basis for the years 2016 and 2017 using WRF-CMAQ (9 km grid resolution). The mean annual values for wet depositions are about 1,300 kg.km -2 , the dry depositions are slightly lower for S and significantly lower for N (180 kg.km -2 ). The highest modelled wet depositions are in the western and south-western parts of the country, the highest dry depositions -in the northern and eastern parts. The comparison for the wet depositions at three sites with precipitation chemistry data indicates overestimation. A precipitation bias adjustment applied to the modelled depositions results in decrease of the normalised mean bias by a factor of 3. Comparison to modelled deposition data from literature for this region of the country is also provided.