Articles | Volume 18, issue 16
Atmos. Chem. Phys., 18, 12491–12510, 2018
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.
Atmos. Chem. Phys., 18, 12491–12510, 2018
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?
Bing Pu and Paul Ginoux
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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
- 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
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: 30 Nov 2022
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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