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