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

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adequate cloud µ-physics representations? "dry radius" (nucleus) 2D-bin Eulerian Lagrangian "wet radius" (solution drop) single-moment bulk: no influence of aerosol on cloud multi-moment bulk, 1D-bin: aerosol may influence cloud no "memory" of drop nuclei • available liquid water is split between ”virtual particles” • each ”virtual particle” (aka super-droplet) represents a multiplicity of particles of the same properties • particle-level formulation of source and sink terms for each super-droplet
particle-based µ-physics vs. bulk, 2-moment, bin, 2D-bin bulk 2 × N x ×N y ×N z variables q c (x,y,z;t), q r (x,y,z;t) 2-moment 4 × N x ×N y ×N z variables q c (x,y,z;t), N c (x,y,z;t), q r (x,y,z;t), N r (x,y,z;t) bin N bins × N x ×N y ×N z variables N(x,y,z,r w ;t) N 0 , N 1 , N 2 , . . . ... still no tracking of information on nuclei size (r d ) 2D-bin N d bins ×Nw bins × N x×N y ×N z vars (Lebo & Seinfeld 2011) N(x,y,z,r w ,r d ;t) N 0,0 , N 0,1 , ..., N 1,0 , N 1,1 ... ... next aerosol attribute one more dimension! particle N particles × N attributes vars • scales better with N attributes (e.g. aerosol chemistry) • N particles huge but ODEs cheaper to solve than PDEs • ”compact” particle-level formulation aerosol processes ”resolved”, not parameterised
Page 1 and 2: Particle-based simulations as a too
Page 3 and 4: aerosol-cloud-aerosol interactions:
Page 5 and 6: aerosol-cloud-aerosol interactions:
Page 7 and 8: adequate cloud µ-physics represent
Page 9 and 10: adequate cloud µ-physics represent
Page 11: adequate cloud µ-physics represent
Page 15 and 16: particle-based µ-physics vs. bulk,
Page 23 and 24: model description: ”virtual dropl
Page 31: model description: ”virtual dropl
Page 42 and 43: model description: summary Eulerian
Page 44 and 45: model description: summary Eulerian
Page 46 and 47: example: application to 2D prescrib
Page 48 and 49: example: application to 2D prescrib
Page 50 and 51: 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
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t = 780 s Y [km] 1.5 1 0.5 mean par
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t = 900 s Y [km] 1.5 1 0.5 mean par
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t = 1020 s Y [km] 1.5 1 0.5 mean pa
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t = 1140 s Y [km] 1.5 1 0.5 mean pa
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t = 1260 s Y [km] 1.5 1 0.5 mean pa
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t = 1380 s Y [km] 1.5 1 0.5 mean pa
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t = 1500 s Y [km] 1.5 1 0.5 mean pa
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t = 1620 s Y [km] 1.5 1 0.5 mean pa
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t = 1740 s Y [km] 1.5 1 0.5 mean pa
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t = 1860 s Y [km] 1.5 1 0.5 mean pa
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t = 1980 s Y [km] 1.5 1 0.5 mean pa
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t = 2100 s Y [km] 1.5 1 0.5 mean pa
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t = 2220 s Y [km] 1.5 1 0.5 mean pa
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t = 2340 s Y [km] 1.5 1 0.5 mean pa
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t = 2460 s Y [km] 1.5 1 0.5 mean pa
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t = 2580 s Y [km] 1.5 1 0.5 mean pa
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t = 2700 s Y [km] 1.5 1 0.5 mean pa
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t = 2820 s Y [km] 1.5 1 0.5 mean pa
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t = 2940 s Y [km] 1.5 1 0.5 mean pa
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100 x/dx=15+/-1 y/dy=15+/-1 t/dt=50
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100 x/dx=15+/-1 y/dy=30+/-1 t/dt=50
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water vapour mixing ratio [g/kg] po
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icicle • open-source project, cod
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Thanks for your attention!
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