2017
DOI: 10.5194/gmd-2017-224
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Air quality in the Kathmandu Valley: WRF and WRF-Chem simulations of meteorology and black carbon concentrations

Abstract: Abstract. An evaluation of the meteorology simulated using the Weather Research and Forecast (WRF) model for the region South Asia and Nepal with a focus on the Kathmandu Valley is presented. A particular focus of the model evaluation is placed on meteorological parameters that are highly relevant to air quality such as wind speed and direction, boundary layer height and precipitation. The same model setup is then used for simulations with WRF including chemistry and aerosols (WRF-Chem).A WRF-Chem simulation h… Show more

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“…WRF-Chem has been used in several countries for regional and urban scale air pollution forecast. In recent years, nested WRF-Chem simulations focusing on urban air pollution have been presented for cities such as Berlin (Kuik et al, 2016), Madrid , Los Angeles (Kim S.-W. et al, 2016), for several metropolitan regions in China (Liao et al, 2015;Zhang et al, 2015;Liu et al, 2018), and even for the complex terrain of Kathmandu (Mues et al, 2017). However, comparison studies proved that WRF-Chem model results show a large sensitivity on the selection of the chemistry scheme, both regarding the tropospheric ozone and secondary aerosol formation.…”
Section: Introductionmentioning
confidence: 99%
“…WRF-Chem has been used in several countries for regional and urban scale air pollution forecast. In recent years, nested WRF-Chem simulations focusing on urban air pollution have been presented for cities such as Berlin (Kuik et al, 2016), Madrid , Los Angeles (Kim S.-W. et al, 2016), for several metropolitan regions in China (Liao et al, 2015;Zhang et al, 2015;Liu et al, 2018), and even for the complex terrain of Kathmandu (Mues et al, 2017). However, comparison studies proved that WRF-Chem model results show a large sensitivity on the selection of the chemistry scheme, both regarding the tropospheric ozone and secondary aerosol formation.…”
Section: Introductionmentioning
confidence: 99%