def calc_env(index, shellindex, edgeindex, MC):
if len(shellindex) > 0:
K_J_I = index_to_zyx(shellindex, MC)
n = 6
for i in range(n):
# Find all the points just outside the clouds
stacklist = [K_J_I, ]
for item in ((0, -1, 0), (0, 1, 0),
(0, 0, -1), (0, 0, 1)):
stacklist.append( K_J_I + numpy.array(item)[:, numpy.newaxis] )
maskindex = numpy.hstack(stacklist)
maskindex[1, :] = maskindex[1, :] % MC['ny']
maskindex[2, :] = maskindex[2, :] % MC['nx']
maskindex = numpy.unique( zyx_to_index(maskindex[0, :],
maskindex[1, :],
maskindex[2, :],
MC) )
# From the expanded mask, select the points outside the cloud
envindex = numpy.setdiff1d(maskindex, index, assume_unique = True)
K_J_I = index_to_zyx(envindex, MC)
# Select the points within 4 grid cells of cloud
r = calc_radii(envindex, edgeindex, MC)
mask = r < 4.5
envindex = envindex[mask]
else:
envindex = []
return envindex
def calc_env(index, shellindex, edgeindex, MC):
if len(shellindex) > 0:
K_J_I = index_to_zyx(shellindex, MC)
n = 6
for i in range(n):
# Find all the points just outside the clouds
stacklist = [
K_J_I,
]
for item in ((0, -1, 0), (0, 1, 0), (0, 0, -1), (0, 0, 1)):
stacklist.append(K_J_I + numpy.array(item)[:, numpy.newaxis])
maskindex = numpy.hstack(stacklist)
maskindex[1, :] = maskindex[1, :] % MC['ny']
maskindex[2, :] = maskindex[2, :] % MC['nx']
maskindex = numpy.unique(
zyx_to_index(maskindex[0, :], maskindex[1, :], maskindex[2, :],
MC))
# From the expanded mask, select the points outside the cloud
envindex = numpy.setdiff1d(maskindex, index, assume_unique=True)
K_J_I = index_to_zyx(envindex, MC)
# Select the points within 4 grid cells of cloud
r = calc_radii(envindex, edgeindex, MC)
mask = r < 4.5
envindex = envindex[mask]
else:
envindex = []
return envindex
def advect_indexes(indexes, u, v, w, MC):
K_J_I = index_to_zyx(indexes, MC)
K_J_I[0, :] = K_J_I[0, :] - w
K_J_I[1, :] = K_J_I[1, :] - v
K_J_I[2, :] = K_J_I[2, :] - u
K_J_I[0, K_J_I[0, :] >= MC['nz']] = MC['nz'] - 1
K_J_I[0, K_J_I[0, :] < 0] = 0
K_J_I[1, :] = K_J_I[1, :] % MC['ny']
K_J_I[2, :] = K_J_I[2, :] % MC['nx']
advected_indexes = zyx_to_index(K_J_I[0, :], K_J_I[1, :], K_J_I[2, :], MC)
return advected_indexes
def advect_indexes(indexes, u, v, w, MC):
K_J_I = index_to_zyx(indexes, MC)
K_J_I[0, :] = K_J_I[0, :] - w
K_J_I[1, :] = K_J_I[1, :] - v
K_J_I[2, :] = K_J_I[2, :] - u
K_J_I[0, K_J_I[0, :] >= MC['nz']] = MC['nz']-1
K_J_I[0, K_J_I[0, :] < 0] = 0
K_J_I[1, :] = K_J_I[1, :] % MC['ny']
K_J_I[2, :] = K_J_I[2, :] % MC['nx']
advected_indexes = zyx_to_index(K_J_I[0,:], K_J_I[1,:], K_J_I[2,:], MC)
return advected_indexes
