Calibrating MERRA-2 PM2.5 concentrations with aerosol diagnostics: testing different machine learning approaches in the Eastern Mediterranean
Author:
Publisher
Springer Science and Business Media LLC
Subject
Health, Toxicology and Mutagenesis,Management, Monitoring, Policy and Law,Atmospheric Science,Pollution
Link
https://link.springer.com/content/pdf/10.1007/s11869-022-01250-8.pdf
Reference68 articles.
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2. Alkasassbeh M, Sheta AF, Faris H, Turabieh H (2013) Prediction of pm10 and tsp air pollution parameters using artificial neural network autoregressive, external input models: a case study in salt. Jordan Middle East J Sci Res 14:999–1009. https://doi.org/10.5829/idosi.mejsr.2013.14.7.2171
3. Bali K, Dey S, Ganguly D (2021) Diurnal patterns in ambient PM2.5 exposure over India using MERRA-2 reanalysis data Atmos Environ 248. https://doi.org/10.1016/j.atmosenv.2020.118180
4. Baltaci H, Ezber Y (2021) Characterization of atmospheric mechanisms that cause the transport of Arabian dust particles to the southeastern region of Turkey. Environ Sci Pollut Res. https://doi.org/10.1007/s11356-021-17526-y
5. Buchard V, da Silva AM, Randles CA, Colarco P, Ferrare R, Hair J, Hostetler C, Tackett J, Winker D (2016) Evaluation of the surface PM2.5 in Version 1 of the NASA MERRA Aerosol Reanalysis over the United States. Atmos Environ 125:100–111. https://doi.org/10.1016/j.atmosenv.2015.11.004
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