Aerosol Measurements Over South Africa Using Satellite, Sun-Photometer and Lidar

Sivakumar, Venkataraman; Tesfaye, M.; Alemu, W.; Sharma, Ameeth; Bollig, C.; Mengistu, Getahun

doi:10.1142/9789812838100_0022

Cited by 8 publications

(8 citation statements)

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“…These locations are diverse in population, climate and topographic variation; make SA geographically unique for any study of spatio-temporal patterns. The description of each region was described by several earlier researchers (Adesina et al, 2010;Sivakumar et al, 2010;Queface et al, 2011;Kumar et al, 2013;Adesina et al, 2014;Kumar et al, 2014;Hersey et al, 2015). …”

Section: Study Locationsmentioning

confidence: 99%

Aerosol-Cloud-Precipitation Interactions over Major Cities in South Africa: Impact on Regional Environment and Climate Change

Adesina

Kumar

Sivakumar

2016

Aerosol Air Qual. Res.

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In this study, we have used the Terra satellite onboard of the Moderate Resolution Imaging Spectroradiometer (MODIS) to investigate the spatial and temporal relationship between aerosol optical depth (AOD) and cloud parameters namely, water vapor (WV), cloud optical depth (COD), cloud fraction (CF), cloud effective radius (CER), cloud top pressure (CTP), and cloud top temperature (CTT) based on 10 years (from January 2004 to December 2013) of dataset over six locations in South Africa (SA). The obtained results indicated seasonal variation in AOD, with high values during spring (September to November) and low values in winter (June to August) in all locations of study. In terms of temporal variation, AOD was lowest at Bloemfontein 0.06 ± 0.04 followed by Cape Town 0.08 ± 0.02, then Potchefstroom 0.09 ± 0.05, Pretoria and Skukuza had 0.11 ± 0.05 each and with the highest at Durban 0.13 ± 0.05. The mean Angstrom exponent (AE) values for each location showed a general prevalence of fine-mode particles which dominates the AOD for most parts of the year. A hybrid single particle Lagrangian integrated trajectory (HYSPLIT) model was used for trajectory analysis in order to determine the origin of airmasses and to understand the variability of AOD. We then studied the relationship between AOD, cloud parameters and precipitation over selected locations of SA so as to provide a better understanding of aerosol-cloud-precipitation interactions. All these correlations examined over six sites were observed to be depended on the large-scale meteorological variations.

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Section: Study Locationsmentioning

confidence: 99%

Aerosol-Cloud-Precipitation Interactions over Major Cities in South Africa: Impact on Regional Environment and Climate Change

Adesina

Kumar

Sivakumar

2016

Aerosol Air Qual. Res.

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“…Estudos das características de aerossóis em escalas locais e globais, assim como as mudanças dos parâmetros atmosféricos e suas relações com a radiação solar, são de grande importância para a pesquisa atmosférica (WANG et al, 2010;SIVAKUMAR et al, 2010;CHE et al, 2011, KUMAR et al, 2013. Os aerossóis atmosféricos afetam diretamente a transmissão de radiação a superfície terrestre através dos efeitos de espalhamento e absorção (BEEGUM et al, 2009;ZHANG et al, 2013;LI et al,2014).…”

Section: Introductionunclassified

Análise Da Profundidade Ótica De Aerossóis E Coeficiente De Angstrom No Cerrado Mato-Grossense

Palácios

Sallo²,

Prado³

et al. 2014

ABClima

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“…At present, the CSIR-NLC mobile LIDAR can provide aerosol backscatter measurements at 532 nm for the altitude region from ground to 40 km with a height resolution of 10 m [148][149][150]. For a better understanding of the atmospheric boundary layer evolution and aerosol concentrations, during October 2008 the LIDAR experiment has been performed at the University of Pretoria (25.7 ∘ S; 28.2 ∘ E).…”

Section: Lidar Observationmentioning

confidence: 99%

Evaluation of Regional Climatic Model Simulated Aerosol Optical Properties over South Africa Using Ground-Based and Satellite Observations

Tesfaye

Botai

Sivakumar

et al. 2013

ISRN Atmospheric Sciences

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The present study evaluates the aerosol optical property computing performance of the Regional Climate Model (RegCM4) which is interactively coupled with anthropogenic-desert dust schemes, in South Africa. The validation was carried out by comparing RegCM4 estimated: aerosol extinction coefficient profile, Aerosol Optical Depth (AOD), and Single Scattering Albedo (SSA) with AERONET, LIDAR, and MISR observations. The results showed that the magnitudes of simulated AOD at the Skukuza station (24 ∘ S, 31 ∘ E) are within the standard deviation of AERONET and ±25% of MISR observations. Within the latitudinal range of 26.5 ∘ S to 24.5 ∘ S, simulated AOD and SSA values are within the standard deviation of MISR retrievals. However, within the latitude range of 33.5 ∘ S to 27 ∘ S, the model exhibited enhanced AOD and SSA values when compared with MISR observations. This is primarily associated with the dry bias in simulated precipitation that leads to the overestimation of dust emission and underestimation of aerosol wet deposition. With respect to LIDAR, the model performed well in capturing the major aerosol extinction profiles. Overall, the results showed that RegCM4 has a good ability in reproducing the major observational features of aerosol optical fields over the area of interest.

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Aerosol Measurements Over South Africa Using Satellite, Sun-Photometer and Lidar

Cited by 8 publications

References 0 publications

Aerosol-Cloud-Precipitation Interactions over Major Cities in South Africa: Impact on Regional Environment and Climate Change

Aerosol-Cloud-Precipitation Interactions over Major Cities in South Africa: Impact on Regional Environment and Climate Change

Análise Da Profundidade Ótica De Aerossóis E Coeficiente De Angstrom No Cerrado Mato-Grossense

Evaluation of Regional Climatic Model Simulated Aerosol Optical Properties over South Africa Using Ground-Based and Satellite Observations

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