Vertical ozone concentration profiles in the Arabian Gulf region during summer and winter: Sensitivity of WRF-CHEM to planetary boundary layer schemes

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3 Citations (Scopus)

Abstract

Air quality in the Middle East is changing due to extensive land conversion, intense industrialization and rapid urbanization. In this study, we analyze data from an ozonesonde station operated in Doha, Qatar, by the Qatar Environment and Energy Research Institute (QEERI). Ozonesondes were launched weekly at 13:00 LT (10:00 UTC) during a summer month (August 2015) representative of extremely hot and humid atmospheric conditions and during a winter period (January–February 2016) representative of cool conditions in the area. Unlike similar studies in the region, this work focuses on the lower troposphere and combines high frequency vertical measurement data with the use of the Weather Research Forecasting model coupled with Chemistry (WRF-Chem). A sensitivity study was conducted to identify the most representative planetary boundary layer (PBL) parameterization. Although all three parameterizations that were examined produced similar results, the Yonsei University (YSU) PBL scheme was found to be statistically superior. Comparisons of model predictions against observations show high correlation coefficients and encouragingly low biases in all meteorological variables. During wintertime, ozone is well predicted overall (fractional bias = –0.1). Results from the summertime comparison are more challenging and point towards possible biases in the anthropogenic emission inventory of the Middle East, especially for rapidly-changing urban environments.

Original languageEnglish
Pages (from-to)1183-1197
Number of pages15
JournalAerosol and Air Quality Research
Volume18
Issue number5
DOIs
Publication statusPublished - 1 May 2018

Fingerprint

ozonesonde
Ozone
Parameterization
parameterization
Boundary layers
boundary layer
ozone
Troposphere
winter
emission inventory
summer
Air quality
industrialization
troposphere
urbanization
air quality
weather
prediction
energy
gulf

Keywords

  • Lower troposphere
  • Middle East
  • Mixing height
  • PBL
  • WRF-Chem

ASJC Scopus subject areas

  • Environmental Chemistry
  • Pollution

Cite this

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title = "Vertical ozone concentration profiles in the Arabian Gulf region during summer and winter: Sensitivity of WRF-CHEM to planetary boundary layer schemes",
abstract = "Air quality in the Middle East is changing due to extensive land conversion, intense industrialization and rapid urbanization. In this study, we analyze data from an ozonesonde station operated in Doha, Qatar, by the Qatar Environment and Energy Research Institute (QEERI). Ozonesondes were launched weekly at 13:00 LT (10:00 UTC) during a summer month (August 2015) representative of extremely hot and humid atmospheric conditions and during a winter period (January–February 2016) representative of cool conditions in the area. Unlike similar studies in the region, this work focuses on the lower troposphere and combines high frequency vertical measurement data with the use of the Weather Research Forecasting model coupled with Chemistry (WRF-Chem). A sensitivity study was conducted to identify the most representative planetary boundary layer (PBL) parameterization. Although all three parameterizations that were examined produced similar results, the Yonsei University (YSU) PBL scheme was found to be statistically superior. Comparisons of model predictions against observations show high correlation coefficients and encouragingly low biases in all meteorological variables. During wintertime, ozone is well predicted overall (fractional bias = –0.1). Results from the summertime comparison are more challenging and point towards possible biases in the anthropogenic emission inventory of the Middle East, especially for rapidly-changing urban environments.",
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T1 - Vertical ozone concentration profiles in the Arabian Gulf region during summer and winter

T2 - Sensitivity of WRF-CHEM to planetary boundary layer schemes

AU - Fountoukis, Christos

AU - Ayoub, Mohammed

AU - Ackermann, Luis

AU - Astudillo, Daniel

AU - Bachour, Dunia

AU - Gladich, Ivan

AU - Hoehn, Ross

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