Articles | Volume 18, issue 16
https://doi.org/10.5194/acp-18-12491-2018
© Author(s) 2018. 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-18-12491-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
29 Aug 2018
Research article |
| 29 Aug 2018
How reliable are CMIP5 models in simulating dust optical depth?
Atmospheric and Oceanic Sciences Program, Princeton University, Princeton, New Jersey 08544, USA
NOAA Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey
08540, USA
Paul Ginoux
NOAA Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey
08540, USA
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Cited
29 citations as recorded by crossref.
- Can Climate Models Reproduce the Decadal Change of Dust Aerosol in East Asia? C. Wu et al. 10.1029/2018GL079376
- A New Satellite-Based Global Climatology of Dust Aerosol Optical Depth K. Voss & A. Evan 10.1175/JAMC-D-19-0194.1
- Global dust optical depth climatology derived from CALIOP and MODIS aerosol retrievals on decadal timescales: regional and interannual variability Q. Song et al. 10.5194/acp-21-13369-2021
- Comparisons and evaluation of aerosol burden and optical depth in CMIP5 simulations over East Asia R. Li et al. 10.1016/j.jastp.2020.105315
- Changes in Dust Activity in Spring over East Asia under a Global Warming Scenario Q. Zong et al. 10.1007/s13143-021-00224-7
- Mineral dust cycle in the Multiscale Online Nonhydrostatic AtmospheRe CHemistry model (MONARCH) Version 2.0 M. Klose et al. 10.5194/gmd-14-6403-2021
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- Retrieving the global distribution of the threshold of wind erosion from satellite data and implementing it into the Geophysical Fluid Dynamics Laboratory land–atmosphere model (GFDL AM4.0/LM4.0) B. Pu et al. 10.5194/acp-20-55-2020
- Assessing the contribution of the ENSO and MJO to Australian dust activity based on satellite- and ground-based observations Y. Yu & P. Ginoux 10.5194/acp-21-8511-2021
- Estimating the Spread in Future Fine Dust Concentrations in the Southwest United States S. Brey et al. 10.1029/2019JD031735
- Evaluation and comparison of MERRA-2 AOD and DAOD with MODIS DeepBlue and AERONET data in Australia Y. Che et al. 10.1016/j.atmosenv.2022.119054
- Modeling Dust in East Asia by CESM and Sources of Biases M. Wu et al. 10.1029/2019JD030799
- Dust‐Drought Nexus in the Southwestern United States: A Proxy‐Model Comparison Approach S. Arcusa et al. 10.1029/2020PA004046
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- Parameterization schemes on dust deposition in northwest China: Model validation and implications for the global dust cycle X. Zhang et al. 10.1016/j.atmosenv.2019.04.017
- The impact of recent changes in Asian anthropogenic emissions of SO<sub>2</sub> on sulfate loading in the upper troposphere and lower stratosphere and the associated radiative changes S. Fadnavis et al. 10.5194/acp-19-9989-2019
- Weakened dust activity over China and Mongolia from 2001 to 2020 associated with climate change and land-use management S. Wang et al. 10.1088/1748-9326/ac3b79
- Improved representation of the global dust cycle using observational constraints on dust properties and abundance J. Kok et al. 10.5194/acp-21-8127-2021
- Understanding processes that control dust spatial distributions with global climate models and satellite observations M. Wu et al. 10.5194/acp-20-13835-2020
- Global Dust Variability Explained by Drought Sensitivity in CMIP6 Models Y. Aryal & S. Evans 10.1029/2021JF006073
- Spatiotemporal regionalization of atmospheric dust based on multivariate analysis of MACC model over Iran K. Mohammadpour et al. 10.1016/j.atmosres.2020.105322
- Modeling dust sources, transport, and radiative effects at different altitudes over the Tibetan Plateau Z. Hu et al. 10.5194/acp-20-1507-2020
- Evaluation of natural aerosols in CRESCENDO Earth system models (ESMs): mineral dust R. Checa-Garcia et al. 10.5194/acp-21-10295-2021
- Aerosol absorption in global models from AeroCom phase III M. Sand et al. 10.5194/acp-21-15929-2021
- Increasing spring dust storms in the future over the Taklimakan Desert, Northwest China: implications from changes in circulation pattern frequency in CMIP6 R. Mao et al. 10.1088/2515-7620/ac37ee
- Seasonal Prediction Potential for Springtime Dustiness in the United States B. Pu et al. 10.1029/2019GL083703
- The Greening of the Sahara: Past Changes and Future Implications F. Pausata et al. 10.1016/j.oneear.2020.03.002
- The global dust cycle and uncertainty in CMIP5 (Coupled Model Intercomparison Project phase 5) models C. Wu et al. 10.5194/acp-20-10401-2020
29 citations as recorded by crossref.
- Can Climate Models Reproduce the Decadal Change of Dust Aerosol in East Asia? C. Wu et al. 10.1029/2018GL079376
- A New Satellite-Based Global Climatology of Dust Aerosol Optical Depth K. Voss & A. Evan 10.1175/JAMC-D-19-0194.1
- Global dust optical depth climatology derived from CALIOP and MODIS aerosol retrievals on decadal timescales: regional and interannual variability Q. Song et al. 10.5194/acp-21-13369-2021
- Comparisons and evaluation of aerosol burden and optical depth in CMIP5 simulations over East Asia R. Li et al. 10.1016/j.jastp.2020.105315
- Changes in Dust Activity in Spring over East Asia under a Global Warming Scenario Q. Zong et al. 10.1007/s13143-021-00224-7
- Mineral dust cycle in the Multiscale Online Nonhydrostatic AtmospheRe CHemistry model (MONARCH) Version 2.0 M. Klose et al. 10.5194/gmd-14-6403-2021
- Is the Atlantic Ocean driving the recent variability in South Asian dust? P. Banerjee et al. 10.5194/acp-21-17665-2021
- Retrieving the global distribution of the threshold of wind erosion from satellite data and implementing it into the Geophysical Fluid Dynamics Laboratory land–atmosphere model (GFDL AM4.0/LM4.0) B. Pu et al. 10.5194/acp-20-55-2020
- Assessing the contribution of the ENSO and MJO to Australian dust activity based on satellite- and ground-based observations Y. Yu & P. Ginoux 10.5194/acp-21-8511-2021
- Estimating the Spread in Future Fine Dust Concentrations in the Southwest United States S. Brey et al. 10.1029/2019JD031735
- Evaluation and comparison of MERRA-2 AOD and DAOD with MODIS DeepBlue and AERONET data in Australia Y. Che et al. 10.1016/j.atmosenv.2022.119054
- Modeling Dust in East Asia by CESM and Sources of Biases M. Wu et al. 10.1029/2019JD030799
- Dust‐Drought Nexus in the Southwestern United States: A Proxy‐Model Comparison Approach S. Arcusa et al. 10.1029/2020PA004046
- How well do the CMIP6 models simulate dust aerosols? A. Zhao et al. 10.5194/acp-22-2095-2022
- Major Changes in Extreme Dust Events Dynamics Over the Arabian Peninsula During 2003–2017 Driven by Atmospheric Conditions H. Gandham et al. 10.1029/2020JD032931
- Parameterization schemes on dust deposition in northwest China: Model validation and implications for the global dust cycle X. Zhang et al. 10.1016/j.atmosenv.2019.04.017
- The impact of recent changes in Asian anthropogenic emissions of SO<sub>2</sub> on sulfate loading in the upper troposphere and lower stratosphere and the associated radiative changes S. Fadnavis et al. 10.5194/acp-19-9989-2019
- Weakened dust activity over China and Mongolia from 2001 to 2020 associated with climate change and land-use management S. Wang et al. 10.1088/1748-9326/ac3b79
- Improved representation of the global dust cycle using observational constraints on dust properties and abundance J. Kok et al. 10.5194/acp-21-8127-2021
- Understanding processes that control dust spatial distributions with global climate models and satellite observations M. Wu et al. 10.5194/acp-20-13835-2020
- Global Dust Variability Explained by Drought Sensitivity in CMIP6 Models Y. Aryal & S. Evans 10.1029/2021JF006073
- Spatiotemporal regionalization of atmospheric dust based on multivariate analysis of MACC model over Iran K. Mohammadpour et al. 10.1016/j.atmosres.2020.105322
- Modeling dust sources, transport, and radiative effects at different altitudes over the Tibetan Plateau Z. Hu et al. 10.5194/acp-20-1507-2020
- Evaluation of natural aerosols in CRESCENDO Earth system models (ESMs): mineral dust R. Checa-Garcia et al. 10.5194/acp-21-10295-2021
- Aerosol absorption in global models from AeroCom phase III M. Sand et al. 10.5194/acp-21-15929-2021
- Increasing spring dust storms in the future over the Taklimakan Desert, Northwest China: implications from changes in circulation pattern frequency in CMIP6 R. Mao et al. 10.1088/2515-7620/ac37ee
- Seasonal Prediction Potential for Springtime Dustiness in the United States B. Pu et al. 10.1029/2019GL083703
- The Greening of the Sahara: Past Changes and Future Implications F. Pausata et al. 10.1016/j.oneear.2020.03.002
- The global dust cycle and uncertainty in CMIP5 (Coupled Model Intercomparison Project phase 5) models C. Wu et al. 10.5194/acp-20-10401-2020
Latest update: 28 Mar 2023
Short summary
Biases in dust modeling may result in biases in simulating energy budget and regional climate. Output of seven Coupled Model Intercomparison Project Phase 5 (CMIP5) models is examined. Seasonal cycle and spatial pattern of dust optical depth (DOD) in very dusty regions are largely captured by multi-model mean. But observed connections between DOD and local controlling factors such as bareness are not well represented. Future projections by CMIP5 models and a regression model are also analyzed.
Biases in dust modeling may result in biases in simulating energy budget and regional climate....
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