1cm Particle-based simulations as a tool for ... - Faculty of Physics

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100 x/dx=15+/-1 y/dy=30+/-1 t/dt=50 particle concentration (per bin) [1/cm 3 ] 10 1 0.1 0.01 0.001 0.001 0.01 0.1 1 10 100 1000 particle wet radius [µm]
water vapour mixing ratio [g/kg] potential temperature [K] effective radius [µm] 1.4 8 1.4 293 1.4 30 1.2 7.5 1.2 292 1.2 25 Y [km] 1 0.8 0.6 7 Y [km] 1 0.8 0.6 291 290 Y [km] 1 0.8 0.6 20 15 0.4 0.2 6.5 0.4 0.2 289 0.4 0.2 10 5 0 0 0.2 0.4 0.6 0.8 1 1.2 1.4 6 0 0 0.2 0.4 0.6 0.8 1 1.2 1.4 288 0 0 0.2 0.4 0.6 0.8 1 1.2 1.4 X [km] X [km] X [km] mean SO 2 mass in the droplet mean HSO 3 mass in the droplet mean S(VI) mass in the droplet 1.4 1e-22 1.4 1e-18 1.4 5e-19 1.2 8e-23 1.2 8e-19 1.2 4e-19 Y [km] 1 0.8 0.6 6e-23 4e-23 Y [km] 1 0.8 0.6 6e-19 4e-19 Y [km] 1 0.8 0.6 3e-19 2e-19 0.4 0.2 2e-23 0.4 0.2 2e-19 0.4 0.2 1e-19 0 0 0.2 0.4 0.6 0.8 1 1.2 1.4 0 0 0 0.2 0.4 0.6 0.8 1 1.2 1.4 0 0 0 0.2 0.4 0.6 0.8 1 1.2 1.4 0 X [km] X [km] X [km]
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Particle-based simulations as a too
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aerosol-cloud-aerosol interactions:
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aerosol-cloud-aerosol interactions:
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adequate cloud µ-physics represent
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particle-based µ-physics vs. bulk,
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model description: ”virtual dropl
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model description: summary Eulerian
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model description: summary Eulerian
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example: application to 2D prescrib
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example: application to 2D prescrib
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t = 60 s Y [km] 1.5 1 0.5 mean part
Page 52 and 53: t = 180 s Y [km] 1.5 1 0.5 mean par
Page 66 and 67: t = 1020 s Y [km] 1.5 1 0.5 mean pa
Page 100 and 101: 100 x/dx=15+/-1 y/dy=15+/-1 t/dt=50
Page 104 and 105: water vapour mixing ratio [g/kg] po
Page 142 and 143: icicle • open-source project, cod
Page 148: Thanks for your attention!
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1cm Particle-based simulations as a tool for ... - Faculty of Physics

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