def boltz_main_outputs(N=2**5,h=2.,period=12.,youngs=5.e9,\
visc_rp=0,width=100.,Hs_inc=3.,conc=.7,dmean=100.,ax=None):
import WIM2d_f2py as Mwim
# N : no of directions
# h : # thickness [m]
# period : # period [s]
# youngs : # period [s]
# visc_rp : # R-P damping parameter [m^s/s]
# Hs : # sig wave height [m]
# conc : # concentration [0-1]
# dmean : # mean floe size [m]
om = 2*np.pi/period
gravity = 9.81
atten_in = np.array([h,om,youngs,visc_rp])
atten_out = Mwim.atten_youngs(atten_in)
# print(atten_in)
# print(atten_out)
alp = conc/dmean*atten_out[4] # scattering "attenuation" [m^{-1}]
alp_dis = 2*conc*atten_out[0] # damping [m^{-1}]
kwtr = atten_out[2]
cp = om/kwtr # phase vel (open water) [m/s]
cg = cp/2. # group vel (open water, inf depth relation) [m/s]
print('\n')
print('width = '+str(width)+'m')
print('\n')
out = Fbs.solve_boltzmann(width=width,
alp=alp,N=N,alp_dis=alp_dis,cg=cg,Hs=Hs_inc,
f_inc=dirspec_inc_spreading)
th_vec = out['angles']
dth = 2*np.pi/N
xx = np.linspace(0,width,num=800)
E_th = Fbs.calc_expansion(out,xx,L=width)
#
E0 = dth*E_th.sum(1) # integral over directions (freq spec)
Hs_steady = 4*np.sqrt(E0.real)
#
S_th = E_th.dot(out['solution']['Rmat'].transpose()) # source term
S_cos = S_th.dot(dtheta*np.cos(out['angles'])) # integral with cos over directions
rhow = 1025 # kg/m^3
gravity = 9.81 # m/s^2
taux_steady = -(rhow*gravity/cp)*S_cos.real
#test plot if desired
if ax is not None:
ax.plot(xx/1.e3,Hs_out)
return xx,Hs_out
def atten_nondim(h,T,young,visc_rp): # attenuation per floe # - for scalars (ie single grid cell) # h = inputs(1) # om = inputs(2) # young = inputs(3) # visc_rp = inputs(4) om = 2*np.pi/T inputs = np.array([h,om,young,visc_rp]) outs = Mwim.atten_youngs(inputs) # calls interface to fortran code # outputs = (/damping,kice,kwtr,int_adm, # ac,modT,argR,argT/) k_visc = outs[0] kice = outs[1] kwtr = outs[2] alp_scat = outs[4] return k_visc,kice,kwtr,alp_scat
cols = ['k','b','r','g','m','c']
lstil = ['-','--','-.',':']
Nc = len(cols)
loop_c = -1
loop_s = 0
ndirs = [16,32,64,128,256]
fig = None
labs = ['$x$, km','$H_s$, m']
for N in ndirs:
# get steady state solution
om = 2*np.pi/Tp_in
# gravity = 9.81
atten_in = np.array([h_in,om,young,visc_rp])
atten_out = Mwim.atten_youngs(atten_in)
alp = c_in/D_in*atten_out[4] # scattering "attenuation" [m^{-1}]
alp_dis = 2*c_in*atten_out[0] # damping [m^{-1}]
kwtr = atten_out[2]
cp = om/kwtr # phase vel (open water) [m/s]
cg = cp/2. # group vel (open water, inf depth relation) [m/s]
#
#N = pow(2,4)
out = Fbs.solve_boltzmann_ft(width=ice_width,
alp=alp,N=N,alp_dis=alp_dis,cg=cg,f_inc=Fbs.dirspec_inc_spreading,Hs=Hs_in)
# alp2 = out['inputs'][0]
# print(alp,alp2)
# sys.exit('fig_test_convergence2steady')
nx0 = 1.e3
def do_run_vSdir(sdf_dir=None,
wave_fields=None,ice_fields=None,
params_in={},mesh_e=None):
dd = os.path.abspath("..")
sys.path.append(dd+"/bin")
sys.path.append(dd+"/py_funs")
RUN_OPT = 0
run_dict = {
0: 'run "vSdir", passing directional spectrum in/out'}
print("###################################################")
print("Run option:")
print(" "+str(RUN_OPT)+' : '+run_dict[RUN_OPT])
print("###################################################")
TEST_IN_SPEC = 0 # check Hs,Tp,mwd calc'd from input spec
TEST_OUT_SPEC = 0 # check Hs,Tp calc'd from output spec
# check directories for outputs exist
if mesh_e is None:
outdir = 'out_py_io_2'
else:
outdir = 'out_py_io_3'
dirs = [outdir,
outdir+'/diagnostics',
outdir+'/diagnostics/global',
outdir+'/diagnostics/local',
outdir+'/binaries',
outdir+'/binaries/prog']
# tell fortran where to save the outputs
ifd_name = 'infile_dirs.txt'
fid = open(ifd_name,'w')
fid.write('grid\n')
fid.write(outdir+'\n')
fid.close()
for j in range(0,len(dirs)):
dirj = dirs[j]
if not os.path.exists(dirj):
os.makedirs(dirj)
# clear out old progress files
dd = os.path.abspath(outdir+"/binaries/prog")
files = os.listdir(dd)
for f in files:
os.remove(dd+"/"+f)
# run wim2d with inputs and outputs
param_dict = default_params()
for key in params_in:
if key not in param_dict:
raise ValueError('Parameter '+key+'invalid')
else:
param_dict[key] = params_in[key]
param_vec = param_dict2vec(param_dict)
# dimensions of grid
nx,ny,nfreq,ndir = Fwim.wim2d_dimensions()
freq_vec = Fwim.wim2d_freq_vec(nfreq)
if ice_fields is not None:
# 'ice_fields' is given as input
# - put data into 'ice_arrays':
keys = ['icec','iceh','dfloe']
ice_arrays = np.zeros((nx,ny,len(keys)))
n = 0
for key in keys:
ice_arrays[:,:,n] = ice_fields[key]
n = n+1
del ice_fields
else:
raise ValueError("No 'ice_fields' input")
if sdf_dir is None:
if wave_fields is not None:
# 'wave_fields' is given as input
# instead of sdf_dir
Hs = wave_fields['Hs']
Tp = wave_fields['Tp']
mwd = wave_fields['mwd']
#
Tmean = np.mean(Tp [Hs>0])
dir_mean = np.mean(mwd[Hs>0])
if nfreq==1:
# check only 1 freq
stdev = np.std( Tp[Hs>0])
if stdev/Tmean>1.e-3:
print('Expected one frequency, but')
print('std dev (Tp) = '+str(stdev)+'s')
print('mean (Tp) = '+str(Tmean) +'s')
raise ValueError('Tp array not consistent with 1 frequency')
if ndir==1:
# check only 1 dir
stdev = np.std (mwd[Hs>0])
if stdev/dir_mean>1.e-3:
print('Expected one direction, but')
print('std dev (mwd) = '+str(stdev)+'degrees')
print('mean (mwd) = '+str(dir_mean) +'degrees')
raise ValueError('mwd array not consistent with 1 direction')
sdf_dir = np.zeros((nx,ny,ndir,nfreq))
PI = np.pi
for i in range(nx):
for j in range(ny):
if Hs[i,j]>0:
if nfreq==1:
# use single freq formula: S=A^2/2
sdf_dir[i,j,:,:] = pow(Hs[i,j]/4.0,2)
else:
# use Bretschneider
for w in range(nfreq):
om = 2*PI*freq_vec[w]
sdf_dir[i,j,:,w] = Fmisc.SDF_Bretschneider(om)
if ndir>1:
theta_max = 90.0
theta_min = -270.0
dtheta = (theta_min-theta_max)/float(ndir) #<0
wavdir = theta_max+np.arange(ndir)*dtheta
# modify spectrum depending on direction
D2R = np.pi/180.
# test_sum = 0.
# test_sum_ = 0.
for wth in range(ndir):
theta_fac_ = Fmisc.theta_dirfrac(wavdir[wth]-.5*abs(dtheta),abs(dtheta),mwd[i,j])/abs(D2R*dtheta)
# chi = PI/180.0*(wavdir[wth]-mwd[i,j])
# if (np.cos(chi)>0.0):
# theta_fac = 2.0/PI*pow(np.cos(chi),2)
# else:
# theta_fac = 0.0
sdf_dir[i,j,wth,:] = sdf_dir[i,j,wth,:]*theta_fac_
# test_sum += theta_fac_
# test_sum_ += theta_fac_
# print(wavdir[wth],wavdir[wth]-.5*abs(dtheta),dtheta,mwd[i,j],theta_fac,theta_fac_)
# print(test_sum*abs(dtheta),test_sum_*abs(dtheta))
# sys.exit()
if 0:
# test spectrum is defined OK
sq = np.squeeze(sdf_dir[i,j,:,0])
m0 = np.sum(sq)*abs((PI/180.)*dtheta)
print(i,j)
print(4*np.sqrt(m0),Hs[i,j])
#
plt.plot(wavdir/180.,sq)
plt.show()
#
sys.exit()
if TEST_IN_SPEC:
# test integrals of spectrum are the same as intended:
print('Testing input spectrum...')
wave_fields2 = {'Hs':0,'Tp':0,'mwd':0}
if nfreq==1:
freq_vec_ = np.array([1./Tp_single_freq])
else:
freq_vec_ = freq_vec
if ndir==1:
wavdir_ = np.array([mwd_single_dir])
else:
wavdir_ = wavdir
(wave_fields2['Hs'],
wave_fields2['Tp'],
wave_fields2['mwd']
) = Fmisc.spectrum_integrals(
sdf_dir,freq_vec_,wavdir_)
arrays = [wave_fields2,wave_fields]
keys = arrays[0].keys()
for key in keys:
print('Comparing field: '+key)
diff = abs(arrays[0][key]-arrays[1][key])
print('Maximum difference = '+str(np.max(diff))+'\n')
sys.exit()
del wave_fields # finished setting sdf_dir from wave_fields
else:
raise ValueError("No wave inputs (need 'sdf_dir' or 'wave_fields')")
# now run the WIM
print(" ")
print("###################################################")
print("Running WIM with sdf_dir inputted")
print("###################################################")
print(" ")
sdf_dir = sdf_dir.reshape(sdf_dir.size,order='fortran')
sdf_dir = np.array(sdf_dir,dtype='float32')
print(param_vec)
if mesh_e is None:
sdf_dir2,out_arrays = Fwim.py_wim2d_run_vsdir(
sdf_dir,ice_arrays,param_vec,ndir,nfreq)
os.remove(ifd_name)
print(" ")
print("###################################################")
print("Finished call to wim2d_vSdir:")
print("###################################################")
print(" ")
else:
# mesh_e=dictionary with keys ['x','y','conc','thick','Nfloes','broken']
# > convert this to array
nmesh_vars = len(mesh_e)
mesh_arr = mesh_dict2arr(mesh_e,inverse=False)
nmesh_e = len(mesh_arr[:,0])
# print(mesh_arr.transpose())
# sys.exit()
# reshape array to a vector
mesh_arr = mesh_arr.reshape(
(nmesh_e*nmesh_vars,),order='fortran')
# run WIM, with interpolation of Nfloes onto the mesh
out = Fwim.py_wim2d_run_vsdir_mesh(
sdf_dir,ice_arrays,mesh_arr,
param_vec,ndir,nfreq,nmesh_e)
sdf_dir2,out_arrays,mesh_arr = out
os.remove(ifd_name)
print(" ")
print("###################################################")
print("Finished call to wim2d_vSdir_mesh:")
print("###################################################")
print(" ")
mesh_arr = mesh_arr.reshape((nmesh_e,nmesh_vars),order='fortran')
mesh_e = mesh_dict2arr(mesh_arr,inverse=True)
# print(mesh_arr.transpose())
sdf_dir2 = sdf_dir2.reshape((nx,ny,ndir,nfreq),order='fortran')
# Dmax = out_arrays[:,:,0]
# Hs = out_arrays[:,:,1]
# Tp = out_arrays[:,:,2]
# tau_x = out_arrays[:,:,3]
# tau_y = out_arrays[:,:,4]
# mwd = out_arrays[:,:,5]
# convert out_arrays to dictionary
out_fields = Fdat.fn_check_out_arr(out_arrays)
del out_arrays
if TEST_OUT_SPEC:
# test integrals of spectrum are the same as intended:
print('Testing integrals of output spectrum...')
wave_fields2 = {'Hs':0,'Tp':0,'mwd':0}
if nfreq==1:
Tp_single_freq = param_dict['T_init']
freq_vec_ = np.array([1./Tp_single_freq])
else:
freq_vec_ = freq_vec
if ndir==1:
mwd_single_dir = param_dict['mwd_init']
wavdir_ = np.array([mwd_single_dir])
else:
wavdir_ = wavdir
(wave_fields2['Hs'],
wave_fields2['Tp'],
wave_fields2['mwd']
) = Fmisc.spectrum_integrals(
sdf_dir2,freq_vec_,wavdir_)
arrays = [wave_fields2,out_fields]
keys = ['Hs','Tp']
# keys = arrays[0].keys()
for key in keys:
print('Comparing field: '+key)
diff = abs(arrays[0][key]-arrays[1][key])
print('Maximum difference = '+str(np.max(diff))+'\n')
if 1:
# plot Tp for visual comparison
# - small differences?
gf = Fdat.fn_check_grid('inputs')
labs = ['$x$, km','$y$, km', '$T_p$, s']
#
f = Fplt.cmap_3d(
gf['X']/1.e3,
gf['Y']/1.e3,
wave_fields2['Tp'],
labs)
f.show()
#
f = Fplt.cmap_3d(
gf['X']/1.e3,
gf['Y']/1.e3,
out_fields['Tp'],
labs)
f.show()
if 0:
# plot Hs for visual comparison
gf = Fdat.fn_check_grid('inputs')
labs = ['$x$, km','$y$, km', '$H_s$, m']
#
f = Fplt.cmap_3d(
gf['X']/1.e3,
gf['Y']/1.e3,
wave_fields2['Hs'],
labs)
f.show()
#
f = Fplt.cmap_3d(
gf['X']/1.e3,
gf['Y']/1.e3,
out_fields['Hs'],
labs)
f.show()
sys.exit()
elif 0:
# test out_fields are the same as in the binary files
print('Testing output fields against binary files...')
arrays = 2*[1]
arrays[0] = out_fields
arrays[1] = Fdat.fn_check_out_bin('out_2/binaries')
keys = arrays[0].keys()
for key in keys:
print('Comparing field: '+key)
diff = abs(arrays[0][key]-arrays[1][key])
print('Maximum difference = '+str(np.max(diff))+'\n')
sys.exit()
return out_fields,Fdat.wim_results(outdir),mesh_e
def do_run(in_fields=None,params_in={}):
if in_fields is not None:
RUN_OPT = 1
else:
RUN_OPT = 0
if len(params_in)>0:
warnings.warn('params_in input being ignored - no input arrays')
run_dict = {0: 'old version (no in/out)',
1: 'in/out'}
print("###################################################")
print("Run option:")
print(" "+str(RUN_OPT)+' : '+run_dict[RUN_OPT])
print("###################################################")
# check directories for outputs exist
if (RUN_OPT == 0):
outdir = 'out_py'
else:
outdir = 'out_py_io_1'
dirs = [outdir,
outdir+'/diagnostics',
outdir+'/diagnostics/local',
outdir+'/diagnostics/global',
outdir+'/binaries',
outdir+'/binaries/prog']
# tell fortran where to save the outputs
ifd_name = 'infile_dirs.txt'
fid = open(ifd_name,'w')
fid.write('grid\n')
fid.write(outdir+'\n')
fid.close()
for dirj in dirs:
if not os.path.exists(dirj):
os.makedirs(dirj)
# clear out old progress files
dd = os.path.abspath(outdir+"/binaries/prog")
files = os.listdir(dd)
for f in files:
os.remove(dd+"/"+f)
if RUN_OPT == 0:
# run the non-IO WIM
# (can still specify parameters in infile_nonIO.txt)
print(" ")
print("Running WIM without input/output")
print("###################################################")
print(" ")
Fwim.py_wim2d_run()
os.remove(ifd_name)
print(" ")
print("###################################################")
print("Finished call to wim2d_run:")
print("###################################################")
print(" ")
# load results from binary files
return Fdat.wim_results(outdir)
# out_fields = Fdat.fn_check_out_bin(outdir+'/binaries')
else:
# run wim2d with inputs and outputs
param_dict = default_params()
for key in params_in:
if key not in param_dict:
raise ValueError('Parameter '+key+' invalid')
else:
param_dict[key] = params_in[key]
param_vec = param_dict2vec(param_dict)
if 0:
print(params_in)
print(param_dict)
print(param_vec)
sys.exit()
if in_fields is not None:
# 'in_fields' is given as input
# - put data into 'in_arrays':
keys = ['icec','iceh','dfloe','Hs','Tp','mwd']
nx,ny = in_fields[keys[0]].shape
in_arrays = np.zeros((nx,ny,6))
n = 0
for key in keys:
in_arrays[:,:,n] = in_fields[key]
n = n+1
del in_fields
elif 0:
# 'in_fields' not given as input
# - read in inputs from saved files:
in_dir = 'out_py/binaries'
grid_prams = Fdat.fn_check_grid(in_dir)
ice_fields,wave_fields = Fdat.fn_check_init(in_dir)
# merge ice and wave fields:
ice_fields.update(wave_fields)
in_fields = ice_fields
del wave_fields
# put data into 'in_arrays':
keys = ['icec','iceh','dfloe','Hs','Tp','mwd']
nx,ny = in_fields[keys[0]].shape
in_arrays = np.zeros((nx,ny,6))
n = 0
for key in keys:
in_arrays[:,:,n] = in_fields[key]
n = n+1
del in_fields,ice_fields
elif 1:
# 'in_fields' not given as input
# - specify 'in_arrays' manually
in_dir = 'out/binaries'
grid_prams = Fdat.fn_check_grid(in_dir)
n = grid_prams['nx']
ny = grid_prams['ny']
X = grid_prams['X']
Y = grid_prams['Y']
LANDMASK = grid_prams['LANDMASK']
xmin = X.min()
xmax = X.max()
# set ice conc/thickness
ICE_MASK = np.zeros((nx,ny))
ICE_MASK[np.logical_and(X>0.7*xmin,LANDMASK<1)] = 1 # i>=24
icec = 0.75*ICE_MASK
iceh = 2.0*ICE_MASK
dfloe = 250*ICE_MASK
# set wave fields
WAVE_MASK = np.zeros((nx,ny))
WAVE_MASK[X<xmin*0.8] = 1 # i<=15
Hs = 2.0*WAVE_MASK
Tp = 12.0*WAVE_MASK
mwd = -90.0*WAVE_MASK
in_arrays[:,:,0] = icec
in_arrays[:,:,1] = iceh
in_arrays[:,:,2] = dfloe
in_arrays[:,:,3] = Hs
in_arrays[:,:,4] = Tp
in_arrays[:,:,5] = mwd
# run the WIM
print(" ")
print("###################################################")
print("Running WIM with input/output")
print("###################################################")
print(" ")
out_arrays = Fwim.py_wim2d_run_io(in_arrays,param_vec)
os.remove(ifd_name)
print(" ")
print("###################################################")
print("Finished call to wim2d_run_io:")
print("###################################################")
print(" ")
# Dmax = out_arrays[:,:,0]
# Hs = out_arrays[:,:,1]
# Tp = out_arrays[:,:,2]
# tau_x = out_arrays[:,:,3]
# tau_y = out_arrays[:,:,4]
# mwd = out_arrays[:,:,4]
# convert out_arrays to dictionary
out_fields = Fdat.fn_check_out_arr(out_arrays)
del out_arrays
return out_fields,Fdat.wim_results(outdir)
