Articles | Volume 20, issue 21
https://doi.org/10.5194/acp-20-12955-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/acp-20-12955-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
05 Nov 2020
Research article |
| 05 Nov 2020
| 05 Nov 2020
Models transport Saharan dust too low in the atmosphere: a comparison of the MetUM and CAMS forecasts with observations
Debbie O'Sullivan
Met Office, Exeter, EX1 3PB, UK
Franco Marenco
CORRESPONDING AUTHOR
Met Office, Exeter, EX1 3PB, UK
Claire L. Ryder
Department of Meteorology, University of Reading, RG6 6BB, UK
Yaswant Pradhan
Met Office, Exeter, EX1 3PB, UK
Zak Kipling
European Centre for Medium-Range Weather Forecasts, Reading, RG2 9AX, UK
Ben Johnson
Met Office, Exeter, EX1 3PB, UK
Angela Benedetti
European Centre for Medium-Range Weather Forecasts, Reading, RG2 9AX, UK
Melissa Brooks
Met Office, Exeter, EX1 3PB, UK
Matthew McGill
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
John Yorks
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Patrick Selmer
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
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- Planetary Boundary Layer Height Estimates From ICESat-2 and CATS Backscatter Measurements S. Palm et al. 10.3389/frsen.2021.716951
- Aerosol and Cloud Detection Using Machine Learning Algorithms and Space-Based Lidar Data J. Yorks et al. 10.3390/atmos12050606
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- Dust in the Critical Zone: North American case studies J. Brahney et al. 10.1016/j.earscirev.2024.104942
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- Diurnal vertical distribution and transport of dust aerosol over and around Tibetan Plateau from lidar on International Space Station Z. Xiong et al. 10.1016/j.atmosres.2023.106939
- A near-global multiyear climate data record of the fine-mode and coarse-mode components of atmospheric pure dust E. Proestakis et al. 10.5194/amt-17-3625-2024
- Aircraft engine dust ingestion at global airports C. Ryder et al. 10.5194/nhess-24-2263-2024
- Machine learning-enabled real-time detection of cloud and aerosol layers using airborne lidar M. McGill et al. 10.3389/frsen.2023.1116817
- Overlap correction function based on multi-angle measurements for an airborne direct-detection lidar for atmospheric sensing M. Adam & F. Marenco 10.1364/OE.507433
- Letter to the Editor regarding Chappell et al., 2023, “Satellites reveal Earth's seasonally shifting dust emission sources” N. Mahowald et al. 10.1016/j.scitotenv.2024.174792
- Modeling coarse and giant desert dust particles E. Drakaki et al. 10.5194/acp-22-12727-2022
- Mineral dust aerosol impacts on global climate and climate change J. Kok et al. 10.1038/s43017-022-00379-5
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- The contribution of Saharan dust to the ice-nucleating particle concentrations at the High Altitude Station Jungfraujoch (3580 m a.s.l.), Switzerland C. Brunner et al. 10.5194/acp-21-18029-2021
- Comparison of Scanning LiDAR with Other Remote Sensing Measurements and Transport Model Predictions for a Saharan Dust Case H. Zhang et al. 10.3390/rs14071693
- Intercomparison of aerosol optical depths from four reanalyses and their multi-reanalysis consensus P. Xian et al. 10.5194/acp-24-6385-2024
- Contribution of the world's main dust source regions to the global cycle of desert dust J. Kok et al. 10.5194/acp-21-8169-2021
- Dust and tropical PMx aerosols in Cape Verde: Sources, vertical distributions and stratified transport from North Africa S. Rodríguez & J. López-Darias 10.1016/j.atmosres.2021.105793
- Investigation of a severe frontal dust storm over the Persian Gulf in February 2020 by CAMS model S. Karami et al. 10.1007/s12517-021-08382-8
- In-situ observations of charged Saharan dust from an uncrewed aircraft system V. Savvakis et al. 10.1080/02786826.2024.2372399
- Observations suggest that North African dust absorbs less solar radiation than models estimate A. Adebiyi et al. 10.1038/s43247-023-00825-2
- First Mapping of Monthly and Diurnal Climatology of Saharan Dust Layer Height Over the Atlantic Ocean From EPIC/DSCOVR in Deep Space Z. Lu et al. 10.1029/2022GL102552
- Long-range transport of coarse mineral dust: an evaluation of the Met Office Unified Model against aircraft observations N. Ratcliffe et al. 10.5194/acp-24-12161-2024
- Comparison of the polluted dust plume and natural dust air mass in a spring dust event in Beijing 2023 Z. Chen et al. 10.1016/j.jes.2024.07.003
Latest update: 30 Dec 2024
Short summary
Mineral dust is an important component of the climate system, and we assess how well it is predicted by two operational models. We flew an aircraft in the dust layers in the eastern Atlantic, and we also make use of satellites. We show that models predict the dust layer too low and that it predicts the particles to be too small. We believe that these discrepancies may be overcome if models can be constrained with operational observations of dust vertical and size-resolved distribution.
Mineral dust is an important component of the climate system, and we assess how well it is...
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