This experiment uses the same simulated passive tracer data as Experiment 6. Here we employed a divergence regularization technique, rather than the Horn and Schunck method. This method proved to be superior to Horn and Schunck's for this simulation's u field, and total speed field. However, Experiment 6's Horn and Schunck approach yielded better results for the v field.
Typhoon command: ./cutyphoon_server -port 60000 -nM 7 -nD 8 -nE 8 -r 2 -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 neutrally stratified, with a geostrophic wind of 10 m/s. The grid size for the computations is 256x256x256. The horizontal slice shown in the image is taken at a height of z = 200m.
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 the two consecutive LES frames.
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: 0.642496113912
Structural similarity: 0.469353718973
(Get scatterplot SVG)
Wind u component averaged from the two consecutive LES frames.
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: 0.640907590169
Structural similarity: 0.469515374089
(Get scatterplot SVG)
Wind v component averaged from the two consecutive LES frames.
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: 0.416521271846
Structural similarity: 0.136678994572
(Get scatterplot SVG)