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

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particle-<strong>b<strong>as</strong>ed</strong> µ-physics vs. bulk, 2-moment, bin, 2D-bin<br />

bulk 2 × N x ×N y ×N z variables<br />

q c (x,y,z;t), q r (x,y,z;t)<br />

2-moment 4 × N x ×N y ×N z variables<br />

q c (x,y,z;t), N c (x,y,z;t), q r (x,y,z;t), N r (x,y,z;t)<br />

bin N bins × N x ×N y ×N z variables<br />

N(x,y,z,r w ;t) N 0<br />

, N 1<br />

, N 2<br />

, . . .<br />

... still no tracking <strong>of</strong> in<strong>for</strong>mation on nuclei size (r d )<br />

2D-bin N d bins ×Nw bins × N x×N y ×N z vars (Lebo & Seinfeld 2011)<br />

N(x,y,z,r w ,r d ;t) N 0,0<br />

, N 0,1<br />

, ..., N 1,0<br />

, N 1,1<br />

...<br />

... next aerosol attribute one more dimension!<br />

particle N particles × N attributes vars<br />

• scales better with N attributes (e.g. aerosol chemistry)<br />

• N particles huge but ODEs cheaper to solve than PDEs<br />

• ”compact” particle-level <strong>for</strong>mulation<br />

aerosol processes ”resolved”, not parameterised

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