Articles | Volume 21, issue 3
https://doi.org/10.5194/acp-21-1427-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-21-1427-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
03 Feb 2021
Research article |
| 03 Feb 2021
| 03 Feb 2021
A global analysis of diurnal variability in dust and dust mixture using CATS observations
Atmospheric and Oceanic Sciences Program, Princeton University,
Princeton, NJ, USA
Olga V. Kalashnikova
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA, USA
Michael J. Garay
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA, USA
Huikyo Lee
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA, USA
Myungje Choi
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA, USA
Gregory S. Okin
Department of Geography, University of California, Los Angeles, CA,
USA
John E. Yorks
NASA Goddard Space Flight Center, Greenbelt, MD, USA
James R. Campbell
Naval Research Laboratory, Monterey, CA, USA
Jared Marquis
Department of Atmospheric Sciences, University of North Dakota, Grand
Forks, ND, USA
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Cited
24 citations as recorded by crossref.
- Global Aerosol Climatology from ICESat-2 Lidar Observations S. Kuang et al. https://doi.org/10.3390/rs17132240
- Diurnal and Seasonal Variations of Dust Transport around the Tibetan Plateau: Insights from Multi-Source Observations X. Xu et al. https://doi.org/10.5194/acp-26-2721-2026
- Aerosol and Cloud Detection Using Machine Learning Algorithms and Space-Based Lidar Data J. Yorks et al. https://doi.org/10.3390/atmos12050606
- Planetary Boundary Layer Height Estimates From ICESat-2 and CATS Backscatter Measurements S. Palm et al. https://doi.org/10.3389/frsen.2021.716951
- Understanding day–night differences in dust aerosols over the dust belt of North Africa, the Middle East, and Asia J. Tindan et al. https://doi.org/10.5194/acp-23-5435-2023
- Trends in daytime and nighttime dust aerosols over the Dust Belt revealed by IASI J. Tindan et al. https://doi.org/10.1016/j.scitotenv.2025.180742
- Improved estimation of diurnal variations in near-global PBLH through a hybrid WCT and transfer learning approach Y. Li et al. https://doi.org/10.5194/amt-19-1059-2026
- Factors influencing the relationships between hourly visibility and aerosol optical depth in China—implications for hourly aerosol optical depth retrievals using automatic visibility observations N. Shang et al. https://doi.org/10.1016/j.atmosenv.2025.121353
- Regional variability of aerosol impacts on clouds and radiation in global kilometer-scale simulations R. Herbert et al. https://doi.org/10.5194/acp-25-7789-2025
- Diurnal and seasonal source‐proximal dust concentrations in complex terrain, West Greenland J. Bullard et al. https://doi.org/10.1002/esp.5661
- Diurnal vertical distribution and transport of dust aerosol over and around Tibetan Plateau from lidar on International Space Station Z. Xiong et al. https://doi.org/10.1016/j.atmosres.2023.106939
- Estimation of nighttime aerosol optical depths using the ground-based microwave radiometer G. Liu et al. https://doi.org/10.5194/amt-18-6705-2025
- Distinct Diurnal Cycle of Supercooled Water Cloud Fraction Dominated by Dust Extinction Coefficient Y. Wang et al. https://doi.org/10.1029/2021GL097006
- Quantification of the dust optical depth across spatiotemporal scales with the MIDAS global dataset (2003–2017) A. Gkikas et al. https://doi.org/10.5194/acp-22-3553-2022
- Classification of key aerosol types from multiple satellite products in Xinjiang, West China H. Pan et al. https://doi.org/10.1007/s00704-026-06116-y
- Atmospheric forcing of dust source activation across East Asia L. Chen et al. https://doi.org/10.5194/acp-26-7523-2026
- Global dust optical depth climatology derived from CALIOP and MODIS aerosol retrievals on decadal timescales: regional and interannual variability Q. Song et al. https://doi.org/10.5194/acp-21-13369-2021
- Investigating aerosol vertical distribution using CALIPSO time series over the Middle East and North Africa (MENA), Europe, and India: A BFAST-based gradual and abrupt change detection F. Brakhasi et al. https://doi.org/10.1016/j.rse.2021.112619
- Thermal infrared dust optical depth and coarse-mode effective diameter over oceans retrieved from collocated MODIS and CALIOP observations J. Zheng et al. https://doi.org/10.5194/acp-23-8271-2023
- Diurnal cycles of cloud cover and its vertical distribution over the Tibetan Plateau revealed by satellite observations, reanalysis datasets, and CMIP6 outputs Y. Zhao et al. https://doi.org/10.5194/acp-23-743-2023
- A new process-based and scale-aware desert dust emission scheme for global climate models – Part I: Description and evaluation against inverse modeling emissions D. Leung et al. https://doi.org/10.5194/acp-23-6487-2023
- Advanced algorithms on monitoring diurnal variations in dust aerosol properties using geostationary satellite imagery J. Li et al. https://doi.org/10.1016/j.rse.2024.113996
- Improving annual fine mineral dust representation from the surface to the column in GEOS-Chem 14.4.1 D. Zhang et al. https://doi.org/10.5194/gmd-18-6767-2025
- Spatiotemporal distribution of dust aerosol optical properties from CALIPSO and CATS observations in Xinjiang, China G. Ren et al. https://doi.org/10.1016/j.jastp.2023.106006
24 citations as recorded by crossref.
- Global Aerosol Climatology from ICESat-2 Lidar Observations S. Kuang et al. https://doi.org/10.3390/rs17132240
- Diurnal and Seasonal Variations of Dust Transport around the Tibetan Plateau: Insights from Multi-Source Observations X. Xu et al. https://doi.org/10.5194/acp-26-2721-2026
- Aerosol and Cloud Detection Using Machine Learning Algorithms and Space-Based Lidar Data J. Yorks et al. https://doi.org/10.3390/atmos12050606
- Planetary Boundary Layer Height Estimates From ICESat-2 and CATS Backscatter Measurements S. Palm et al. https://doi.org/10.3389/frsen.2021.716951
- Understanding day–night differences in dust aerosols over the dust belt of North Africa, the Middle East, and Asia J. Tindan et al. https://doi.org/10.5194/acp-23-5435-2023
- Trends in daytime and nighttime dust aerosols over the Dust Belt revealed by IASI J. Tindan et al. https://doi.org/10.1016/j.scitotenv.2025.180742
- Improved estimation of diurnal variations in near-global PBLH through a hybrid WCT and transfer learning approach Y. Li et al. https://doi.org/10.5194/amt-19-1059-2026
- Factors influencing the relationships between hourly visibility and aerosol optical depth in China—implications for hourly aerosol optical depth retrievals using automatic visibility observations N. Shang et al. https://doi.org/10.1016/j.atmosenv.2025.121353
- Regional variability of aerosol impacts on clouds and radiation in global kilometer-scale simulations R. Herbert et al. https://doi.org/10.5194/acp-25-7789-2025
- Diurnal and seasonal source‐proximal dust concentrations in complex terrain, West Greenland J. Bullard et al. https://doi.org/10.1002/esp.5661
- Diurnal vertical distribution and transport of dust aerosol over and around Tibetan Plateau from lidar on International Space Station Z. Xiong et al. https://doi.org/10.1016/j.atmosres.2023.106939
- Estimation of nighttime aerosol optical depths using the ground-based microwave radiometer G. Liu et al. https://doi.org/10.5194/amt-18-6705-2025
- Distinct Diurnal Cycle of Supercooled Water Cloud Fraction Dominated by Dust Extinction Coefficient Y. Wang et al. https://doi.org/10.1029/2021GL097006
- Quantification of the dust optical depth across spatiotemporal scales with the MIDAS global dataset (2003–2017) A. Gkikas et al. https://doi.org/10.5194/acp-22-3553-2022
- Classification of key aerosol types from multiple satellite products in Xinjiang, West China H. Pan et al. https://doi.org/10.1007/s00704-026-06116-y
- Atmospheric forcing of dust source activation across East Asia L. Chen et al. https://doi.org/10.5194/acp-26-7523-2026
- Global dust optical depth climatology derived from CALIOP and MODIS aerosol retrievals on decadal timescales: regional and interannual variability Q. Song et al. https://doi.org/10.5194/acp-21-13369-2021
- Investigating aerosol vertical distribution using CALIPSO time series over the Middle East and North Africa (MENA), Europe, and India: A BFAST-based gradual and abrupt change detection F. Brakhasi et al. https://doi.org/10.1016/j.rse.2021.112619
- Thermal infrared dust optical depth and coarse-mode effective diameter over oceans retrieved from collocated MODIS and CALIOP observations J. Zheng et al. https://doi.org/10.5194/acp-23-8271-2023
- Diurnal cycles of cloud cover and its vertical distribution over the Tibetan Plateau revealed by satellite observations, reanalysis datasets, and CMIP6 outputs Y. Zhao et al. https://doi.org/10.5194/acp-23-743-2023
- A new process-based and scale-aware desert dust emission scheme for global climate models – Part I: Description and evaluation against inverse modeling emissions D. Leung et al. https://doi.org/10.5194/acp-23-6487-2023
- Advanced algorithms on monitoring diurnal variations in dust aerosol properties using geostationary satellite imagery J. Li et al. https://doi.org/10.1016/j.rse.2024.113996
- Improving annual fine mineral dust representation from the surface to the column in GEOS-Chem 14.4.1 D. Zhang et al. https://doi.org/10.5194/gmd-18-6767-2025
- Spatiotemporal distribution of dust aerosol optical properties from CALIPSO and CATS observations in Xinjiang, China G. Ren et al. https://doi.org/10.1016/j.jastp.2023.106006
Saved (final revised paper)
Latest update: 17 Jun 2026
Short summary
Given the current uncertainties in the simulated diurnal variability of global dust mobilization and concentration, observational characterization of the variations in dust mobilization and concentration will provide a valuable benchmark for evaluating and constraining such model simulations. The current study investigates the diurnal cycle of dust loading across the global tropics, subtropics, and mid-latitudes by analyzing aerosol observations from the International Space Station.
Given the current uncertainties in the simulated diurnal variability of global dust mobilization...
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