Understanding the spatiotemporal distribution of aerosols and their association with natural and anthropogenic factors over Saudi Arabia using multi-sensor remote sensing data
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11869-024-01578-3.pdf
Reference102 articles.
1. Addas A, Ragab M, Maghrabi A, et al (2021) UV Index for Public Health Awareness Based on OMI/NASA Satellite Data at King Abdulaziz University, Saudi Arabia. Adv Math Phys 2021:. https://doi.org/10.1155/2021/2835393
2. Al OM, Farahat A, Tawabini B et al (2019) Long-term aerosol trends and variability over central saudi arabia using optical characteristics from solar village AERONET measurements. Atmosphere (Basel) 10:1–16. https://doi.org/10.3390/ATMOS10120752
3. Alexander LV, Zhang X, Peterson TC et al (2006) Global observed changes in daily climate extremes of temperature and precipitation. J Geophys Res Atmos 111:1–22. https://doi.org/10.1029/2005JD006290
4. Alharbi B, Pasha MNT (2014) Assessment of Ambient Air Quality in Riyadh City, Saudi Arabia. Curr World Environ 9:227–236. https://doi.org/10.12944/cwe.9.2.01
5. Alharbi BH, Maghrabi A, Tapper N (2013) The March 2009 dust event in Saudi Arabia: Precursor and supportive environment. Bull Am Meteorol Soc 94:515–528. https://doi.org/10.1175/BAMS-D-11-00118.1
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