| contributor author | Jury, Mark R. | |
| date accessioned | 2017-06-09T16:51:44Z | |
| date available | 2017-06-09T16:51:44Z | |
| date issued | 2017 | |
| identifier issn | 1558-8424 | |
| identifier other | ams-75456.pdf | |
| identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4217794 | |
| description abstract | he meteorology of air pollution episodes on South Africa?s Highveld was studied using OMI and AIRS satellite estimates, MERRA2 reanalysis model products and in-situ weather data. Surface-layer SO2 and NO2 display high concentrations during winter (May-July) and provide a focus for statistical analysis of monthly and daily time series. Highveld area averaged monthly model SO2 was temporally correlated with boundary layer height (-0.76) and temperature lapse rate (+0.65) in the period 1980-2015, but relationships with winds were weak. Daily Highveld area satellite NO2 was related to dewpoint temperature (-0.59) and exhibited pulsing in the range 7-24 days in the period 2005-2015. High concentrations of these short-lived locally-generated air pollutants were found over and southeast of Johannesburg due to urban and industrial emissions.The spatial regression of daily NO2 onto regional sea level air pressure fields in May-July 2005-2015 revealed the slow eastward movement of an anticyclone. At the climate timescale, Pacific La Nina conditions favored an increase of May-July SO2 concentrations when SST in the equatorial Atlantic were warmer than normal. The meteorological pattern underlying the highest ranked air pollution event of 18-25 July 2008 was characterized by sharp anticyclonic curvature of low level winds that induce subsidence, and consequently a stable lapse rate and low dewpoint temperature (-5C). The wind vorticity exerted a stronger influence on dispersion than the surface divergence. This new understanding will underpin better air quality forecasts over the South African Highveld. | |
| publisher | American Meteorological Society | |
| title | Statistics and meteorology of air pollution episodes over the South African Highveld based on satellite-model datasets | |
| type | Journal Paper | |
| journal volume | 056 | |
| journal issue | 006 | |
| journal title | Journal of Applied Meteorology and Climatology | |
| identifier doi | 10.1175/JAMC-D-16-0354.1 | |
| journal fristpage | 1583 | |
| journal lastpage | 1594 | |
| tree | Journal of Applied Meteorology and Climatology:;2017:;volume( 056 ):;issue: 006 | |
| contenttype | Fulltext | |