Articles | Volume 20, issue 1
https://doi.org/10.5194/acp-20-55-2020
© Author(s) 2020. 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-20-55-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
03 Jan 2020
Research article |
| 03 Jan 2020
| 03 Jan 2020
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)
Atmospheric and Oceanic Sciences Program, Princeton University,
Princeton, New Jersey 08544, USA
NOAA Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey
08540, USA
current affiliation: Department of Geography & Atmospheric
Science, the University of Kansas, Lawrence, Kansas 66045, USA
Paul Ginoux
NOAA Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey
08540, USA
NOAA Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey
08540, USA
N. Christina Hsu
NASA Goddard Space Flight Center, Greenbelt, Maryland 20771, USA
John Kimball
Department of Ecosystem and Conservation Sciences, University of
Montana, Missoula, Montana 59812, USA
Beatrice Marticorena
Laboratoire Interuniversitaire des Systèmes Atmosphériques, Universités Paris Est-Paris Diderot-Paris 7, UMR CNRS 7583, Créteil, France
Sergey Malyshev
NOAA Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey
08540, USA
Vaishali Naik
NOAA Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey
08540, USA
Norman T. O'Neill
Département de géomatique appliquée,
Université de Sherbrooke, Sherbrooke, Canada
Carlos Pérez García-Pando
Barcelona Supercomputing Center, 08034 Barcelona, Spain
ICREA, Passeig Lluís Companys 23, 08010 Barcelona, Spain
Juliette Paireau
Department of Ecology and Evolutionary Biology, Princeton Environmental Institute, Princeton University, Princeton, New Jersey 08544, USA
Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR 2000, CNRS, 75015 Paris, France
Joseph M. Prospero
Rosenstiel School of Marine and Atmospheric Sciences, University of
Miami, Miami, Florida 33149, USA
Elena Shevliakova
NOAA Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey
08540, USA
Ming Zhao
NOAA Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey
08540, USA
Viewed
Total article views: 8,220 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 19 Mar 2019)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 3,138 | 5,002 | 80 | 8,220 | 360 | 73 | 75 |
- HTML: 3,138
- PDF: 5,002
- XML: 80
- Total: 8,220
- Supplement: 360
- BibTeX: 73
- EndNote: 75
Total article views: 3,568 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 03 Jan 2020)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 2,785 | 716 | 67 | 3,568 | 207 | 57 | 61 |
- HTML: 2,785
- PDF: 716
- XML: 67
- Total: 3,568
- Supplement: 207
- BibTeX: 57
- EndNote: 61
Total article views: 4,652 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 19 Mar 2019)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 353 | 4,286 | 13 | 4,652 | 153 | 16 | 14 |
- HTML: 353
- PDF: 4,286
- XML: 13
- Total: 4,652
- Supplement: 153
- BibTeX: 16
- EndNote: 14
Viewed (geographical distribution)
Total article views: 8,220 (including HTML, PDF, and XML)
Thereof 7,728 with geography defined
and 492 with unknown origin.
Total article views: 3,568 (including HTML, PDF, and XML)
Thereof 3,434 with geography defined
and 134 with unknown origin.
Total article views: 4,652 (including HTML, PDF, and XML)
Thereof 4,294 with geography defined
and 358 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
21 citations as recorded by crossref.
- Importance of different parameterization changes for the updated dust cycle modeling in the Community Atmosphere Model (version 6.1) L. Li et al. 10.5194/gmd-15-8181-2022
- Identification and quantitative analysis of dust trajectories in the Hexi Corridor C. Xu et al. 10.1016/j.agrformet.2020.107987
- 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
- When a Dust Storm Is Not a Dust Storm: Reliability of Dust Records From the Storm Events Database and Implications for Geohealth Applications K. Ardon‐Dryer et al. 10.1029/2022GH000699
- Dry air intrusions link Rossby wave breaking to large-scale dust storms in Northwest Africa: Four extreme cases E. Fluck & S. Raveh-Rubin 10.1016/j.atmosres.2023.106663
- Understanding day–night differences in dust aerosols over the dust belt of North Africa, the Middle East, and Asia J. Tindan et al. 10.5194/acp-23-5435-2023
- Aerosol Characteristics during the COVID-19 Lockdown in China: Optical Properties, Vertical Distribution, and Potential Source Y. Jin et al. 10.3390/rs14143336
- Climate-model-informed deep learning of global soil moisture distribution K. Klingmüller & J. Lelieveld 10.5194/gmd-14-4429-2021
- The emission, transport, and impacts of the extreme Saharan dust storm of 2015 B. Harr et al. 10.5194/acp-24-8625-2024
- Interactions of Asian mineral dust with Indian summer monsoon: Recent advances and challenges Q. Jin et al. 10.1016/j.earscirev.2021.103562
- Decreased dust particles amplify the cloud cooling effect by regulating cloud ice formation over the Tibetan Plateau J. Chen et al. 10.1126/sciadv.ado0885
- 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
- Enhanced dust emission following large wildfires due to vegetation disturbance Y. Yu & P. Ginoux 10.1038/s41561-022-01046-6
- 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. 10.5194/acp-23-6487-2023
- 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
- Ecosystems impact on aeolian dust emissions in Inner Mongolia from 2001 to 2018 X. Wang et al. 10.1016/j.geoderma.2022.115938
- Reducing Aerosol Forcing Uncertainty by Combining Models With Satellite and Within‐The‐Atmosphere Observations: A Three‐Way Street R. Kahn et al. 10.1029/2022RG000796
- Spatiotemporal distribution of global wind erosion over the past four decades Z. Chu et al. 10.1088/1748-9326/ad7d22
- Improved parameterization for effect of soil moisture on threshold friction velocity for saltation activity based on observations in the Taklimakan Desert X. Yang et al. 10.1016/j.geoderma.2020.114322
- A 16-year climatology of the link between dry air intrusions and large-scale dust storms in North Africa E. Fluck & S. Raveh-Rubin 10.1016/j.atmosres.2023.106844
- Seasonal Prediction Potential for Springtime Dustiness in the United States B. Pu et al. 10.1029/2019GL083703
20 citations as recorded by crossref.
- Importance of different parameterization changes for the updated dust cycle modeling in the Community Atmosphere Model (version 6.1) L. Li et al. 10.5194/gmd-15-8181-2022
- Identification and quantitative analysis of dust trajectories in the Hexi Corridor C. Xu et al. 10.1016/j.agrformet.2020.107987
- 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
- When a Dust Storm Is Not a Dust Storm: Reliability of Dust Records From the Storm Events Database and Implications for Geohealth Applications K. Ardon‐Dryer et al. 10.1029/2022GH000699
- Dry air intrusions link Rossby wave breaking to large-scale dust storms in Northwest Africa: Four extreme cases E. Fluck & S. Raveh-Rubin 10.1016/j.atmosres.2023.106663
- Understanding day–night differences in dust aerosols over the dust belt of North Africa, the Middle East, and Asia J. Tindan et al. 10.5194/acp-23-5435-2023
- Aerosol Characteristics during the COVID-19 Lockdown in China: Optical Properties, Vertical Distribution, and Potential Source Y. Jin et al. 10.3390/rs14143336
- Climate-model-informed deep learning of global soil moisture distribution K. Klingmüller & J. Lelieveld 10.5194/gmd-14-4429-2021
- The emission, transport, and impacts of the extreme Saharan dust storm of 2015 B. Harr et al. 10.5194/acp-24-8625-2024
- Interactions of Asian mineral dust with Indian summer monsoon: Recent advances and challenges Q. Jin et al. 10.1016/j.earscirev.2021.103562
- Decreased dust particles amplify the cloud cooling effect by regulating cloud ice formation over the Tibetan Plateau J. Chen et al. 10.1126/sciadv.ado0885
- 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
- Enhanced dust emission following large wildfires due to vegetation disturbance Y. Yu & P. Ginoux 10.1038/s41561-022-01046-6
- 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. 10.5194/acp-23-6487-2023
- 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
- Ecosystems impact on aeolian dust emissions in Inner Mongolia from 2001 to 2018 X. Wang et al. 10.1016/j.geoderma.2022.115938
- Reducing Aerosol Forcing Uncertainty by Combining Models With Satellite and Within‐The‐Atmosphere Observations: A Three‐Way Street R. Kahn et al. 10.1029/2022RG000796
- Spatiotemporal distribution of global wind erosion over the past four decades Z. Chu et al. 10.1088/1748-9326/ad7d22
- Improved parameterization for effect of soil moisture on threshold friction velocity for saltation activity based on observations in the Taklimakan Desert X. Yang et al. 10.1016/j.geoderma.2020.114322
- A 16-year climatology of the link between dry air intrusions and large-scale dust storms in North Africa E. Fluck & S. Raveh-Rubin 10.1016/j.atmosres.2023.106844
1 citations as recorded by crossref.
Latest update: 20 Nov 2024
Short summary
Dust emission initiates when surface wind velocities exceed a threshold depending on soil and surface characteristics and varying spatially and temporally. Climate models widely use wind erosion thresholds. The climatological monthly global distribution of the wind erosion threshold, Vthreshold, is retrieved using satellite and reanalysis products and improves the simulation of dust frequency, magnitude, and the seasonal cycle in the Geophysical Fluid Dynamics Laboratory land–atmosphere model.
Dust emission initiates when surface wind velocities exceed a threshold depending on soil and...
Altmetrics
Final-revised paper
Preprint