Articles | Volume 15, issue 8
https://doi.org/10.5194/acp-15-4389-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-15-4389-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
30 Apr 2015
Research article |
| 30 Apr 2015
Seasonal variability of Saharan desert dust and ice nucleating particles over Europe
L. B. Hande
CORRESPONDING AUTHOR
Karlsruhe Institute of Technology, Karlsruhe, Germany
C. Engler
Leibniz-Institute for Tropospheric Research, Leipzig, Germany
Karlsruhe Institute of Technology, Karlsruhe, Germany
Leibniz-Institute for Tropospheric Research, Leipzig, Germany
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Cited
36 citations as recorded by crossref.
- Cloud ice caused by atmospheric mineral dust – Part 1: Parameterization of ice nuclei concentration in the NMME-DREAM model S. Nickovic et al. 10.5194/acp-16-11367-2016
- The impact of mineral dust on cloud formation during the Saharan dust event in April 2014 over Europe M. Weger et al. 10.5194/acp-18-17545-2018
- The role of aerosol–radiation–cloud interactions in linking anthropogenic pollution over southern west Africa and dust emission over the Sahara L. Menut et al. 10.5194/acp-19-14657-2019
- Importance of aerosols and shape of the cloud droplet size distribution for convective clouds and precipitation C. Barthlott et al. 10.5194/acp-22-2153-2022
- Impact of the 4 April 2014 Saharan dust outbreak on the photovoltaic power generation in Germany D. Rieger et al. 10.5194/acp-17-13391-2017
- Classical nucleation theory of immersion freezing: sensitivity of contact angle schemes to thermodynamic and kinetic parameters L. Ickes et al. 10.5194/acp-17-1713-2017
- How Uncertainty in Field Measurements of Ice Nucleating Particles Influences Modeled Cloud Forcing S. Garimella et al. 10.1175/JAS-D-17-0089.1
- Background Free‐Tropospheric Ice Nucleating Particle Concentrations at Mixed‐Phase Cloud Conditions L. Lacher et al. 10.1029/2018JD028338
- Southern Alaska as a source of atmospheric mineral dust and ice-nucleating particles S. Barr et al. 10.1126/sciadv.adg3708
- Profiling of Saharan dust from the Caribbean to western Africa – Part 2: Shipborne lidar measurements versus forecasts A. Ansmann et al. 10.5194/acp-17-14987-2017
- Sensitivity of cloud-phase distribution to cloud microphysics and thermodynamics in simulated deep convective clouds and SEVIRI retrievals C. Han et al. 10.5194/acp-23-14077-2023
- Large‐eddy simulations over Germany using ICON: a comprehensive evaluation R. Heinze et al. 10.1002/qj.2947
- Representing Microphysical Uncertainty in Convective‐Scale Data Assimilation Using Additive Noise Y. Feng et al. 10.1029/2021MS002606
- Ice Nucleating Particle Concentrations Increase When Leaves Fall in Autumn F. Conen et al. 10.3390/atmos8100202
- How does cloud-radiative heating over the North Atlantic change with grid spacing, convective parameterization, and microphysics scheme in ICON version 2.1.00? S. Sullivan et al. 10.5194/gmd-16-3535-2023
- Secondary Ice Formation in Idealised Deep Convection—Source of Primary Ice and Impact on Glaciation A. Miltenberger et al. 10.3390/atmos11050542
- The ice-nucleating activity of African mineral dust in the Caribbean boundary layer A. Harrison et al. 10.5194/acp-22-9663-2022
- The impact of aerosols and model grid spacing on a supercell storm from Swabian MOSES 2021 C. Barthlott et al. 10.1002/qj.4687
- Model simulations with COSMO-SPECS: impact of heterogeneous freezing modes and ice nucleating particle types on ice formation and precipitation in a deep convective cloud K. Diehl & V. Grützun 10.5194/acp-18-3619-2018
- Ice microphysical processes exert a strong control on the simulated radiative energy budget in the tropics S. Sullivan & A. Voigt 10.1038/s43247-021-00206-7
- A Modeling Study on the Sensitivities of Atmospheric Charge Separation According to the Relative Diffusional Growth Rate Theory to Nonspherical Hydrometeors and Cloud Microphysics F. Glassmeier et al. 10.1029/2018JD028356
- Simulating the influence of primary biological aerosol particles on clouds by heterogeneous ice nucleation M. Hummel et al. 10.5194/acp-18-15437-2018
- Impacts of combined microphysical and land-surface uncertainties on convective clouds and precipitation in different weather regimes C. Barthlott et al. 10.5194/acp-22-10841-2022
- Ice Nucleating Particle Measurements at 241 K during Winter Months at 3580 m MSL in the Swiss Alps Y. Boose et al. 10.1175/JAS-D-15-0236.1
- Interaction of microphysics and dynamics in a warm conveyor belt simulated with the ICOsahedral Nonhydrostatic (ICON) model A. Oertel et al. 10.5194/acp-23-8553-2023
- The behavior of high-CAPE (convective available potential energy) summer convection in large-domain large-eddy simulations with ICON H. Rybka et al. 10.5194/acp-21-4285-2021
- Interactions of Water with Mineral Dust Aerosol: Water Adsorption, Hygroscopicity, Cloud Condensation, and Ice Nucleation M. Tang et al. 10.1021/acs.chemrev.5b00529
- Influence of Dust on Precipitation During Landfalling Atmospheric Rivers in an Idealized Framework N. Mascioli et al. 10.1029/2021JD034813
- Parameterizing cloud condensation nuclei concentrations during HOPE L. Hande et al. 10.5194/acp-16-12059-2016
- Partitioning the primary ice formation modes in large eddy simulations of mixed-phase clouds L. Hande & C. Hoose 10.5194/acp-17-14105-2017
- Mineralogy Sensitive Immersion Freezing Parameterization in DREAM L. Ilić et al. 10.1029/2021JD035093
- A New Ice Nucleation Active Site Parameterization for Desert Dust and Soot R. Ullrich et al. 10.1175/JAS-D-16-0074.1
- Ice nucleating particles in the Saharan Air Layer Y. Boose et al. 10.5194/acp-16-9067-2016
- New particle-dependent parameterizations of heterogeneous freezing processes: sensitivity studies of convective clouds with an air parcel model K. Diehl & S. Mitra 10.5194/acp-15-12741-2015
- Heterogeneous ice nucleation on dust particles sourced from nine deserts worldwide – Part 2: Deposition nucleation and condensation freezing Y. Boose et al. 10.5194/acp-19-1059-2019
- Estimated desert-dust ice nuclei profiles from polarization lidar: methodology and case studies R. Mamouri & A. Ansmann 10.5194/acp-15-3463-2015
35 citations as recorded by crossref.
- Cloud ice caused by atmospheric mineral dust – Part 1: Parameterization of ice nuclei concentration in the NMME-DREAM model S. Nickovic et al. 10.5194/acp-16-11367-2016
- The impact of mineral dust on cloud formation during the Saharan dust event in April 2014 over Europe M. Weger et al. 10.5194/acp-18-17545-2018
- The role of aerosol–radiation–cloud interactions in linking anthropogenic pollution over southern west Africa and dust emission over the Sahara L. Menut et al. 10.5194/acp-19-14657-2019
- Importance of aerosols and shape of the cloud droplet size distribution for convective clouds and precipitation C. Barthlott et al. 10.5194/acp-22-2153-2022
- Impact of the 4 April 2014 Saharan dust outbreak on the photovoltaic power generation in Germany D. Rieger et al. 10.5194/acp-17-13391-2017
- Classical nucleation theory of immersion freezing: sensitivity of contact angle schemes to thermodynamic and kinetic parameters L. Ickes et al. 10.5194/acp-17-1713-2017
- How Uncertainty in Field Measurements of Ice Nucleating Particles Influences Modeled Cloud Forcing S. Garimella et al. 10.1175/JAS-D-17-0089.1
- Background Free‐Tropospheric Ice Nucleating Particle Concentrations at Mixed‐Phase Cloud Conditions L. Lacher et al. 10.1029/2018JD028338
- Southern Alaska as a source of atmospheric mineral dust and ice-nucleating particles S. Barr et al. 10.1126/sciadv.adg3708
- Profiling of Saharan dust from the Caribbean to western Africa – Part 2: Shipborne lidar measurements versus forecasts A. Ansmann et al. 10.5194/acp-17-14987-2017
- Sensitivity of cloud-phase distribution to cloud microphysics and thermodynamics in simulated deep convective clouds and SEVIRI retrievals C. Han et al. 10.5194/acp-23-14077-2023
- Large‐eddy simulations over Germany using ICON: a comprehensive evaluation R. Heinze et al. 10.1002/qj.2947
- Representing Microphysical Uncertainty in Convective‐Scale Data Assimilation Using Additive Noise Y. Feng et al. 10.1029/2021MS002606
- Ice Nucleating Particle Concentrations Increase When Leaves Fall in Autumn F. Conen et al. 10.3390/atmos8100202
- How does cloud-radiative heating over the North Atlantic change with grid spacing, convective parameterization, and microphysics scheme in ICON version 2.1.00? S. Sullivan et al. 10.5194/gmd-16-3535-2023
- Secondary Ice Formation in Idealised Deep Convection—Source of Primary Ice and Impact on Glaciation A. Miltenberger et al. 10.3390/atmos11050542
- The ice-nucleating activity of African mineral dust in the Caribbean boundary layer A. Harrison et al. 10.5194/acp-22-9663-2022
- The impact of aerosols and model grid spacing on a supercell storm from Swabian MOSES 2021 C. Barthlott et al. 10.1002/qj.4687
- Model simulations with COSMO-SPECS: impact of heterogeneous freezing modes and ice nucleating particle types on ice formation and precipitation in a deep convective cloud K. Diehl & V. Grützun 10.5194/acp-18-3619-2018
- Ice microphysical processes exert a strong control on the simulated radiative energy budget in the tropics S. Sullivan & A. Voigt 10.1038/s43247-021-00206-7
- A Modeling Study on the Sensitivities of Atmospheric Charge Separation According to the Relative Diffusional Growth Rate Theory to Nonspherical Hydrometeors and Cloud Microphysics F. Glassmeier et al. 10.1029/2018JD028356
- Simulating the influence of primary biological aerosol particles on clouds by heterogeneous ice nucleation M. Hummel et al. 10.5194/acp-18-15437-2018
- Impacts of combined microphysical and land-surface uncertainties on convective clouds and precipitation in different weather regimes C. Barthlott et al. 10.5194/acp-22-10841-2022
- Ice Nucleating Particle Measurements at 241 K during Winter Months at 3580 m MSL in the Swiss Alps Y. Boose et al. 10.1175/JAS-D-15-0236.1
- Interaction of microphysics and dynamics in a warm conveyor belt simulated with the ICOsahedral Nonhydrostatic (ICON) model A. Oertel et al. 10.5194/acp-23-8553-2023
- The behavior of high-CAPE (convective available potential energy) summer convection in large-domain large-eddy simulations with ICON H. Rybka et al. 10.5194/acp-21-4285-2021
- Interactions of Water with Mineral Dust Aerosol: Water Adsorption, Hygroscopicity, Cloud Condensation, and Ice Nucleation M. Tang et al. 10.1021/acs.chemrev.5b00529
- Influence of Dust on Precipitation During Landfalling Atmospheric Rivers in an Idealized Framework N. Mascioli et al. 10.1029/2021JD034813
- Parameterizing cloud condensation nuclei concentrations during HOPE L. Hande et al. 10.5194/acp-16-12059-2016
- Partitioning the primary ice formation modes in large eddy simulations of mixed-phase clouds L. Hande & C. Hoose 10.5194/acp-17-14105-2017
- Mineralogy Sensitive Immersion Freezing Parameterization in DREAM L. Ilić et al. 10.1029/2021JD035093
- A New Ice Nucleation Active Site Parameterization for Desert Dust and Soot R. Ullrich et al. 10.1175/JAS-D-16-0074.1
- Ice nucleating particles in the Saharan Air Layer Y. Boose et al. 10.5194/acp-16-9067-2016
- New particle-dependent parameterizations of heterogeneous freezing processes: sensitivity studies of convective clouds with an air parcel model K. Diehl & S. Mitra 10.5194/acp-15-12741-2015
- Heterogeneous ice nucleation on dust particles sourced from nine deserts worldwide – Part 2: Deposition nucleation and condensation freezing Y. Boose et al. 10.5194/acp-19-1059-2019
1 citations as recorded by crossref.
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Latest update: 11 Dec 2024
Short summary
Dust is a significant aerosol on seasonal timescales. There are large differences in dust and INP concentrations between seasons. The INP concentrations have a different vertical distribution than other common parameterisations suggest. We provide a new formulation to estimate the INP particles formed on dust aerosols, for use in process studies and regional simulations over Europe. The new formulation captures a much more realistic seasonal variability and vertical profile.
Dust is a significant aerosol on seasonal timescales. There are large differences in dust and...
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