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| DOI | 10.1016/j.atmosenv.2020.117864 |
| Space and ground-based remote sensing comparison of seasonal interaction of aerosol-cloud-precipitable water | |
| Anoruo C.M. | |
| 发表日期 | 2020 |
| ISSN | 1352-2310 |
| 卷号 | 243 |
| 英文摘要 | The exact aerosols interaction with cloud and precipitable water remains a good area of scientific interest, but remained poorly represented. In using aerosol optical depth (AOD) data from Moderate Resolution Imaging Spectroradiometer (MODIS) as a satellite-based and Aeronet Robotic Network (AERONET) as ground-based station to estimate this interaction is very essential. However, the seasonal variation of aerosols and its inter-hemispheric approach has presented more clearly this idea. In this study, an adequate data extraction and management has been placed to determine AODs data gaps and have examined MODIS and AERONET AODs with cloud fraction and precipitable water over Karlsruhe (49.093N, 8.428E) located in Germany (Northern hemisphere) and Skukuza (24.992S, 31.587E) located in South Africa (Southern hemisphere) from the period between 2005 and 2019. An estimated relative bias error values of both AODs data was validated by correlating the results and performing the mean and standard deviation (S.D) analyses. In order to conclude error in AOD values, root mean square error (RMSE) and mean absolute error (MAE) were performed. Furthermore, to provide knowledge of major aerosols contributor over both hemispheres, estimation of jet winds to see the zonal and meridional impacts through 7 day kinematic back trajectories at various initial pressures was performed. Additionally, estimated dust surface mass concentrations over both hemispheres using Dust Surface Mass Concentration layer from the Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2). The result showed 93.76% and 90.89% AOD data falls within expected values over Karlsruhe and Skukuza with corresponding RMSE and MAE of 0.06 ± 0.81 and 0.04 ± 0.58. Also, the monsoon season showed more agreement at southern hemisphere, with mean and S.D of 0.42 ± 0.41. It is therefore concluded that MODIS AOD performance with cloud and precipitable is deeply dependent on geographic terrain. Hence, AERONET AOD gives precise measurement and should be used to validate satellite retrievals of aerosol optical depth. © 2020 Elsevier Ltd |
| 关键词 | AERONET-DerivedCFHemisphereKarlsruhePWSkukuza |
| 语种 | 英语 |
| scopus关键词 | Dust; Errors; Mean square error; Optical properties; Radiometers; Remote sensing; Satellite imagery; Aerosol optical depths; Ground-based remote sensing; Ground-based stations; Mean and standard deviations; Moderate resolution imaging spectroradiometer; Research and application; Retrospective analysis; Root mean square errors; Aerosols; precipitable water; unclassified drug; water; AERONET; aerosol composition; comparative study; dust; jet flow; MODIS; monsoon; optical depth; precipitable water; remote sensing; satellite altimetry; aerosol; aerosol optical depth; Article; climate change; cloud; comparative study; correlation coefficient; data extraction; dust and dust related phenomena; dust surface mass concentration layer; environmental impact; Germany; information processing; measurement error; measurement precision; Northern Hemisphere; optical depth; priority journal; rainy season; remote sensing; satellite imagery; seasonal variation; South Africa; Southern Hemisphere; statistical bias; wind; winter; Baden-Wurttemberg; Germany; Karlsruhe; South Africa |
| 来源期刊 | ATMOSPHERIC ENVIRONMENT
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| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/248893 |
| 作者单位 | Department of Physics and Astronomy, University of Nigeria, Nsukka, Nigeria |
| 推荐引用方式 GB/T 7714 | Anoruo C.M.. Space and ground-based remote sensing comparison of seasonal interaction of aerosol-cloud-precipitable water[J],2020,243. |
| APA | Anoruo C.M..(2020).Space and ground-based remote sensing comparison of seasonal interaction of aerosol-cloud-precipitable water.ATMOSPHERIC ENVIRONMENT,243. |
| MLA | Anoruo C.M.."Space and ground-based remote sensing comparison of seasonal interaction of aerosol-cloud-precipitable water".ATMOSPHERIC ENVIRONMENT 243(2020). |
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