TY - JOUR
T1 - Surface ozone variability and trends over the South African Highveld from 1990 to 2007
AU - Balashov, Nikolay V.
AU - Thompson, Anne M.
AU - Piketh, Stuart J.
AU - Langerman, Kristy E.
N1 - Funding Information:
We would like to thank two anonymous reviewers for their valuable input that helped to improve our work. We thank Eskom for providing all of the principal research data, and in particular the air quality monitoring team led by Neil Snow and Eric Lynch who managed the monitoring stations, and Willem Landman from CSIR for explaining seasonal effects of ENSO on southern Africa and Gerrie Coetzee from South African Weather Service for the Irene weather data. We also would like to thank Chris Forest and George Young from Pennsylvania State University for fruitful discussions regarding telecon-nections and statistical methods. We are grateful for the C4-SAR (Changing Chemistry in a Changing Climate: Human and Natural Impacts over southern Africa) conference that took place near Johannesburg in June of 2011 with a number of valuable talks regarding climate and air pollution of southern Africa. We thank NASA for funding this research as a part of the SHADOZ (Southern Hemisphere Additional Ozonesondes) program, grant NNX09AJ23G. AMT acknowledges support from the J. W. Fulbright Scholars program for an extended visit to North-West University, Potchefstroom, in 2010–2011.
Publisher Copyright:
© 2014. The Authors.
PY - 2014/4/16
Y1 - 2014/4/16
N2 - Surface ozone is a secondary air pollutant formed from reactions between nitrogen oxides (NOx =NO+NO2) and volatile organic compounds in the presence of sunlight. In this work we examine effects of the climate pattern known as the El Niño–Southern Oscillation (ENSO) and NOx variability on surface ozone from 1990 to 2007 over the South African Highveld, a heavily populated region in South Africa with numerous industrial facilities. Over summer and autumn (December–May) on the Highveld, El Niño, as signified by positive sea surface temperature (SST) anomalies over the central Pacific Ocean, is typically associated with drier and warmer than normal conditions favoring ozone formation. Conversely, La Niña, or negative SST anomalies over the central Pacific Ocean, is typically associated with cloudier and above normal rainfall conditions, hindering ozone production. We use a generalized regression model to identify any linear dependence that the Highveld ozone, measured at five air quality monitoring stations, may have on ENSO and NOx. Our results indicate that four out of the five stations exhibit a statistically significant sensitivity to ENSO at some point over the December–May period where El Niño amplifies ozone formation and La Niña reduces ozone formation. Three out of the five stations reveal statistically significant sensitivity to NOx variability, primarily in winter and spring. Accounting for ENSO and NOx effects throughout the study period of 18 years, two stations exhibit statistically significant negative ozone trends in spring, one station displays a statistically significant positive trend in August, and two stations show no statistically significant change in surface ozone.
AB - Surface ozone is a secondary air pollutant formed from reactions between nitrogen oxides (NOx =NO+NO2) and volatile organic compounds in the presence of sunlight. In this work we examine effects of the climate pattern known as the El Niño–Southern Oscillation (ENSO) and NOx variability on surface ozone from 1990 to 2007 over the South African Highveld, a heavily populated region in South Africa with numerous industrial facilities. Over summer and autumn (December–May) on the Highveld, El Niño, as signified by positive sea surface temperature (SST) anomalies over the central Pacific Ocean, is typically associated with drier and warmer than normal conditions favoring ozone formation. Conversely, La Niña, or negative SST anomalies over the central Pacific Ocean, is typically associated with cloudier and above normal rainfall conditions, hindering ozone production. We use a generalized regression model to identify any linear dependence that the Highveld ozone, measured at five air quality monitoring stations, may have on ENSO and NOx. Our results indicate that four out of the five stations exhibit a statistically significant sensitivity to ENSO at some point over the December–May period where El Niño amplifies ozone formation and La Niña reduces ozone formation. Three out of the five stations reveal statistically significant sensitivity to NOx variability, primarily in winter and spring. Accounting for ENSO and NOx effects throughout the study period of 18 years, two stations exhibit statistically significant negative ozone trends in spring, one station displays a statistically significant positive trend in August, and two stations show no statistically significant change in surface ozone.
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U2 - 10.1002/2013JD020555
DO - 10.1002/2013JD020555
M3 - Article
AN - SCOPUS:84907219669
SN - 0148-0227
VL - 119
SP - 4323
EP - 4342
JO - Journal of Geophysical Research
JF - Journal of Geophysical Research
IS - 7
ER -