Articles | Volume 37, issue 1
https://doi.org/10.5194/angeo-37-49-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/angeo-37-49-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Regular paper
| 
29 Jan 2019
Regular paper |
| 29 Jan 2019
| 29 Jan 2019
Comparative analysis of MODIS, MISR, and AERONET climatology over the Middle East and North Africa
Department of Physics, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia
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Cited
21 citations as recorded by crossref.
- Air Quality Over Major Cities of Saudi Arabia During Hajj Periods of 2019 and 2020 A. Farahat et al. 10.1007/s41748-021-00202-z
- Spatiotemporal variations and long term trends analysis of aerosol optical depth over the United Arab Emirates A. Abuelgasim et al. 10.1016/j.rsase.2021.100532
- Evaluation and Comparison of Multi-Satellite Aerosol Optical Depth Products over East Asia Ocean Z. Cao et al. 10.3390/toxics11100813
- Rapid rise in premature mortality due to anthropogenic air pollution in fast-growing tropical cities from 2005 to 2018 K. Vohra et al. 10.1126/sciadv.abm4435
- Climatological Study of Air Pollutant Emissions in Saudi Arabia M. Al-Mutairi et al. 10.3390/atmos14040729
- Effect of cloud seeding on aerosol properties and particulate matter variability in the United Arab Emirates A. Farahat & A. Abuelgasim 10.1007/s13762-020-03057-5
- Review of retrieval of aerosol optical depth to estimate particle concentration and its challenges based on spatiotemporal relationships by various spectroradiometer models C. Samuel et al. 10.1002/gj.4780
- Source Apportionment of Atmospheric PM10 in Makkah Saudi Arabia by Modelling Its Ion and Trace Element Contents with Positive Matrix Factorization and Generalised Additive Model T. Habeebullah et al. 10.3390/toxics10030119
- Which model to choose? Performance comparison of statistical and machine learning models in predicting PM2.5 from high-resolution satellite aerosol optical depth P. Kulkarni et al. 10.1016/j.atmosenv.2022.119164
- Satellite remote sensing of aerosol optical depth: advances, challenges, and perspectives X. Wei et al. 10.1080/10643389.2019.1665944
- A Review on Estimation of Particulate Matter from Satellite-Based Aerosol Optical Depth: Data, Methods, and Challenges A. Ranjan et al. 10.1007/s13143-020-00215-0
- Multiyear Typology of Long-Range Transported Aerosols over Europe V. Nicolae et al. 10.3390/atmos10090482
- Effect of dust loadings, meteorological conditions, and local emissions on aerosol mixing and loading variability over highly urbanized semiarid countries: United Arab Emirates case study A. Abuelgasim & A. Farahat 10.1016/j.jastp.2020.105215
- Evaluation and Comparison of MODIS Collection 6.1 and Collection 6 Dark Target Aerosol Optical Depth over Mainland China Under Various Conditions Including Spatiotemporal Distribution, Haze Effects, and Underlying Surface Y. Huang et al. 10.1029/2019EA000809
- Validation of MODIS AOD retrievals in West Africa: a comparison with AERONET observations C. Okpalaonwuka et al. 10.1007/s11869-023-01391-4
- The long-term spatial and temporal distribution of aerosol optical depth and its associated atmospheric circulation over Southeast Africa M. Nyasulu et al. 10.1007/s11356-021-18446-7
- Evaluation of MERRA-2 data for aerosols patterns over the Kingdom of Saudi Arabia A. Labban & M. Butt 10.1016/j.heliyon.2023.e17047
- Aerosol Types and Their Climatology over the Dust Belt Region A. Samman & M. Butt 10.3390/atmos14111610
- A comparison study between AOD data from MODIS deep blue collections 51 and 06 and from AERONET over Saudi Arabia M. Almazroui 10.1016/j.atmosres.2019.03.040
- Evaluation of MODIS and two reanalysis aerosol optical depth products over AERONET sites H. Shi et al. 10.1016/j.atmosres.2019.01.009
- Analysis of AOD from MODIS-Merged DT–DB Products Over the Arabian Peninsula M. Ali & M. Assiri 10.1007/s41748-019-00108-x
18 citations as recorded by crossref.
- Air Quality Over Major Cities of Saudi Arabia During Hajj Periods of 2019 and 2020 A. Farahat et al. 10.1007/s41748-021-00202-z
- Spatiotemporal variations and long term trends analysis of aerosol optical depth over the United Arab Emirates A. Abuelgasim et al. 10.1016/j.rsase.2021.100532
- Evaluation and Comparison of Multi-Satellite Aerosol Optical Depth Products over East Asia Ocean Z. Cao et al. 10.3390/toxics11100813
- Rapid rise in premature mortality due to anthropogenic air pollution in fast-growing tropical cities from 2005 to 2018 K. Vohra et al. 10.1126/sciadv.abm4435
- Climatological Study of Air Pollutant Emissions in Saudi Arabia M. Al-Mutairi et al. 10.3390/atmos14040729
- Effect of cloud seeding on aerosol properties and particulate matter variability in the United Arab Emirates A. Farahat & A. Abuelgasim 10.1007/s13762-020-03057-5
- Review of retrieval of aerosol optical depth to estimate particle concentration and its challenges based on spatiotemporal relationships by various spectroradiometer models C. Samuel et al. 10.1002/gj.4780
- Source Apportionment of Atmospheric PM10 in Makkah Saudi Arabia by Modelling Its Ion and Trace Element Contents with Positive Matrix Factorization and Generalised Additive Model T. Habeebullah et al. 10.3390/toxics10030119
- Which model to choose? Performance comparison of statistical and machine learning models in predicting PM2.5 from high-resolution satellite aerosol optical depth P. Kulkarni et al. 10.1016/j.atmosenv.2022.119164
- Satellite remote sensing of aerosol optical depth: advances, challenges, and perspectives X. Wei et al. 10.1080/10643389.2019.1665944
- A Review on Estimation of Particulate Matter from Satellite-Based Aerosol Optical Depth: Data, Methods, and Challenges A. Ranjan et al. 10.1007/s13143-020-00215-0
- Multiyear Typology of Long-Range Transported Aerosols over Europe V. Nicolae et al. 10.3390/atmos10090482
- Effect of dust loadings, meteorological conditions, and local emissions on aerosol mixing and loading variability over highly urbanized semiarid countries: United Arab Emirates case study A. Abuelgasim & A. Farahat 10.1016/j.jastp.2020.105215
- Evaluation and Comparison of MODIS Collection 6.1 and Collection 6 Dark Target Aerosol Optical Depth over Mainland China Under Various Conditions Including Spatiotemporal Distribution, Haze Effects, and Underlying Surface Y. Huang et al. 10.1029/2019EA000809
- Validation of MODIS AOD retrievals in West Africa: a comparison with AERONET observations C. Okpalaonwuka et al. 10.1007/s11869-023-01391-4
- The long-term spatial and temporal distribution of aerosol optical depth and its associated atmospheric circulation over Southeast Africa M. Nyasulu et al. 10.1007/s11356-021-18446-7
- Evaluation of MERRA-2 data for aerosols patterns over the Kingdom of Saudi Arabia A. Labban & M. Butt 10.1016/j.heliyon.2023.e17047
- Aerosol Types and Their Climatology over the Dust Belt Region A. Samman & M. Butt 10.3390/atmos14111610
3 citations as recorded by crossref.
- A comparison study between AOD data from MODIS deep blue collections 51 and 06 and from AERONET over Saudi Arabia M. Almazroui 10.1016/j.atmosres.2019.03.040
- Evaluation of MODIS and two reanalysis aerosol optical depth products over AERONET sites H. Shi et al. 10.1016/j.atmosres.2019.01.009
- Analysis of AOD from MODIS-Merged DT–DB Products Over the Arabian Peninsula M. Ali & M. Assiri 10.1007/s41748-019-00108-x
Latest update: 08 Dec 2023
Short summary
Data from two instruments (MODIS and MISR) on board the Terra satellite were compared with seven AERONET ground-based stations located in the Middle East and North Africa. The goal was to test which space-borne instrument can better represent ground data over different geographic locations. Comparing satellites’ retrievals with corresponding AERONET measurements shows that space-borne data retrieval accuracy can be affected by landscape and topology.
Data from two instruments (MODIS and MISR) on board the Terra satellite were compared with seven...
