def month_tropic_width(f):
dset = da.read_nc(["cal333+cal05+cal20+cal80+csat", "cal333+cal05+cal20+cal80+csat_cprof"])
vcm = dset["cal333+cal05+cal20+cal80+csat"]
nprof = dset["nprof"]
cf_lat = np.ma.masked_invalid(1.0 * vcm.values.T / nprof.values)
cf_lat = cf_lat.T
tropic_range = dict()
for vcm_min in vcm_mins:
tropic_range[vcm_min] = tropic_width.tropic_width3(vcm.lat, vcm.altitude, cf_lat, vcm_min)
return tropic_range
def pcolor_zonal(x, y, vcmarray, title=None):
plt.contourf(x, y, vcmarray.T, np.r_[0:0.8:0.05])
plt.colorbar()
if title is not None:
plt.title(title)
plt.clim(0,0.8)
plt.xlim(-82,82)
plt.xticks(np.r_[-90:90+30:30])
latup, latdown, ceiling, height = tropic_width.tropic_width3(x, y, vcmarray)
plt.axvline(x=latup, ls='--', color='w')
plt.axvline(x=latdown, ls='--', color='w')
plt.axhline(y=ceiling, ls='--')
plt.axhline(y=height, ls='--')
def pcolor_zonal(x, y, vcmarray, title=None):
plt.contourf(x, y, vcmarray.T, np.r_[0:0.8:0.05])
plt.colorbar()
if title is not None:
plt.title(title)
plt.clim(0, 0.8)
plt.xlim(-82, 82)
plt.xticks(np.r_[-90:90 + 30:30])
latup, latdown, ceiling, height = tropic_width.tropic_width3(
x, y, vcmarray)
plt.axvline(x=latup, ls='--', color='w')
plt.axvline(x=latdown, ls='--', color='w')
plt.axhline(y=ceiling, ls='--')
plt.axhline(y=height, ls='--')
def month_tropic_width(f):
dset = da.read_nc([
'cal333+cal05+cal20+cal80+csat', 'cal333+cal05+cal20+cal80+csat_cprof'
])
vcm = dset['cal333+cal05+cal20+cal80+csat']
nprof = dset['nprof']
cf_lat = np.ma.masked_invalid(1. * vcm.values.T / nprof.values)
cf_lat = cf_lat.T
tropic_range = dict()
for vcm_min in vcm_mins:
tropic_range[vcm_min] = tropic_width.tropic_width3(
vcm.lat, vcm.altitude, cf_lat, vcm_min)
return tropic_range
def month_tropic_width(monthfile):
try:
data = da.read_nc(monthfile)
except:
return None
try:
vcm = 1. * data['cal333+cal05+cal20+cal80+csat']
nprof = 1. * data['cal333+cal05+cal20+cal80+csat_cprof']
except KeyError:
return None
cf_lat = vcm.values.T / nprof.values
cf_lat = cf_lat.T
cf_lat = np.ma.masked_invalid(cf_lat)
tropic_range = dict()
for vcm_min in vcm_mins:
tropic_range[vcm_min] = tropic_width3(vcm.labels[0], vcm.labels[1], cf_lat, vcm_min=vcm_min)
return tropic_range
def pcolor_zonal(x, y, vcmarray, title=None):
z = vcmarray.copy()
z = np.ma.masked_where(z==0, z)
plt.contourf(x, y, z.T, np.r_[0:0.8:0.05])
plt.colorbar()
if title is not None:
plt.title(title[10:-4])
plt.clim(0,0.8)
plt.xticks(np.r_[-90:90+30:30])
ctop = tropic_width.cloud_cover_top(y, vcmarray, 0.05)
latup, latdown, ceiling, height = tropic_width.tropic_width3(x, y, vcmarray)
plt.axvline(x=latup, ls='--', color='grey')
plt.axvline(x=latdown, ls='--', color='grey')
plt.axhline(y=ceiling, ls='--', color='grey')
plt.axhline(y=height, ls='--', color='grey')
plt.plot(x, ctop, ls='--', color='w', alpha=0.5)
plt.xlim(-82,82)
plt.ylim(0, 20)
plt.ylabel('Altitude [km]')
plt.xlabel('Latitude')
def pcolor_zonal(x, y, vcmarray, title=None):
z = vcmarray.copy()
z = np.ma.masked_where(z == 0, z)
plt.contourf(x, y, z.T, np.r_[0:0.8:0.05])
plt.colorbar()
if title is not None:
plt.title(title[10:-4])
plt.clim(0, 0.8)
plt.xticks(np.r_[-90:90 + 30:30])
ctop = tropic_width.cloud_cover_top(y, vcmarray, 0.05)
latup, latdown, ceiling, height = tropic_width.tropic_width3(
x, y, vcmarray)
plt.axvline(x=latup, ls='--', color='grey')
plt.axvline(x=latdown, ls='--', color='grey')
plt.axhline(y=ceiling, ls='--', color='grey')
plt.axhline(y=height, ls='--', color='grey')
plt.plot(x, ctop, ls='--', color='w', alpha=0.5)
plt.xlim(-82, 82)
plt.ylim(0, 20)
plt.ylabel('Altitude [km]')
plt.xlabel('Latitude')
def pcolor_zonal(x, y, vcmarray, title=None):
plt.figure(figsize=[15,5])
plt.contourf(x, y, vcmarray.T, np.r_[0:0.8:0.05])
plt.colorbar()
if title is not None:
plt.title(title)
plt.clim(0,0.8)
plt.xlim(-82,82)
plt.xticks(np.r_[-90:90+30:30])
cover_top = tropic_width.cloud_cover_top(y, vcmarray)
plt.plot(x, cover_top, lw=2, color='w', alpha=0.5)
latup, latdown, ceiling, height = tropic_width.tropic_width3(x, y, vcmarray)
plt.figure(figsize=[15,5])
plt.plot(x, cover_top)
plt.axvline(x=latup)
plt.axvline(x=latdown)
plt.axhline(y=ceiling)
plt.axhline(y=height)
print 'lat range, second method : ', latup, latdown
def month_tropic_width(monthfile):
try:
data = da.read_nc(monthfile)
except:
return None
try:
vcm = 1. * data['cal333+cal05+cal20+cal80+csat']
nprof = 1. * data['cal333+cal05+cal20+cal80+csat_cprof']
except KeyError:
return None
cf_lat = vcm.values.T / nprof.values
cf_lat = cf_lat.T
cf_lat = np.ma.masked_invalid(cf_lat)
tropic_range = dict()
for vcm_min in vcm_mins:
tropic_range[vcm_min] = tropic_width3(vcm.labels[0],
vcm.labels[1],
cf_lat,
vcm_min=vcm_min)
return tropic_range