Here we applied Typhoon to the passive tracer field of the LES simulation detailed below. The results are very similar to that of Experiment 3, where we used the temperature field of the same simulation.
Typhoon command: ./cutyphoon_server -port 60000 -nM 7 -nD 8 -nE 8 -r 1 -a 0.01
This is a large eddy simulation (LES) using the NCAR-LES code on a domain of size \((Lx,Ly,Lz) = (5120,5120,2048)m\). The domain is periodic in the x and y directions and the boundary layer is initialized with a capping inversion at \(z = 1000m\). The flow is forced with a geostrophic wind of \(10 m/s\) and a surface heat flux of \(0.5 W/m^2\). The grid size for the computations is \(256\times 256\times 256\). The horizontal slice shown in the image is of a passive conserved scalar taken at a height of \(z = 20m\). The scalar concentration is set to \(1\) at the bottom surface.
The above video shows the movement of the tracer in the simulation. The two images shown reflect the data passed to Typhoon; they are 15 seconds apart to match the time interval of the REAL hardware.
Horizontal wind speed averaged from one hundred LES frames between those passed to Typhoon.
Horizontal wind speed inferred by cutyphoon_server from the passive tracer data corresponding to the same frames.
Differences between speeds in above images.
Pearson's r: 0.813060479358
Structural similarity: 0.250979269978
(Get scatterplot SVG)
Wind u component averaged from one hundred LES frames between those passed to Typhoon.
U components inferred by cutyphoon_server from the passive tracer data corresponding to the same frames.
Differences between u components in above images.
Pearson's r: 0.831263627347
Structural similarity: 0.264290759127
(Get scatterplot SVG)
Wind v component averaged from one hundred LES frames between those passed to Typhoon.
V components inferred by cutyphoon_server from the passive tracer data corresponding to the same frames.
Differences between v components in above images.
Pearson's r: 0.897038422772
Structural similarity: 0.306732738468
(Get scatterplot SVG)