TY - JOUR
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 A.
AU - Ackermann, Luis
AU - Perez-Astudillo, Daniel
AU - Bachour, Dunia
AU - Gladich, Ivan
AU - Hoehn, Ross D.
N1 - Publisher Copyright:
© Taiwan Association for Aerosol Research.
PY - 2018/5
Y1 - 2018/5
N2 - 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.
AB - 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.
KW - Lower troposphere
KW - Middle East
KW - Mixing height
KW - PBL
KW - WRF-Chem
UR - https://www.scopus.com/pages/publications/85041836532
U2 - 10.4209/aaqr.2017.06.0194
DO - 10.4209/aaqr.2017.06.0194
M3 - Article
AN - SCOPUS:85041836532
SN - 1680-8584
VL - 18
SP - 1183
EP - 1197
JO - Aerosol and Air Quality Research
JF - Aerosol and Air Quality Research
IS - 5
ER -