def plot_vertical_heat_flux(self,data,xdata):
met=data[['theta','wvert','lats','lons']]
topo=np.asarray(Terrain.get_topo(lats=met['lats'], lons=met['lons']))
v_heatflux = pd.rolling_cov(met.wvert, met.theta, 60, center=True)
plt.figure()
plt.plot(xdata,v_heatflux)
ax=plt.gca()
ax.set_ylim([-0.5,0.5])
ax.set_ylabel('Vertical heat flux [K m s-1]',color='b',fontsize=15)
ax.set_xlabel('Distance from flight start [km]',fontsize=15)
add_second_y_in(ax,topo,xaxis=xdata, color='r',label='Topography [m]')
plt.draw()
def plot_tke(self,data,xaxis):
met=data[['wdir','wspd','wvert','lats','lons']]
topo=np.asarray(Terrain.get_topo(lats=met['lats'], lons=met['lons']))
u_comp,v_comp = get_wind_components(met.wspd,met.wdir)
w_comp=met.wvert
u_var = pd.rolling_var(u_comp,60,center=True)
v_var = pd.rolling_var(v_comp,60,center=True)
w_var = pd.rolling_var(w_comp,60,center=True)
tke = 0.5*(u_var+v_var+w_var)
plt.figure()
plt.plot(xaxis,tke)
ax=plt.gca()
ax.set_ylim([0,10])
plt.xlabel('distance')
plt.ylabel('TKE [m2 s-2]')
add_second_y_in(ax,topo,xaxis=xaxis,color='g',label='Topography [m]')
plt.draw()
def plot_meteo(self,xaxis,dots):
topo=Terrain.get_topo(lats=self.met['lats'], lons=self.met['lons'])
varname={ 0:{'var':'atemp','name': 'air temperature',
'loc':3,'ylim':None,'fmt':False},
1:{'var':'dewp','name': 'dew point temp',
'loc':3,'ylim':None,'fmt':False},
2:{'var':'wdir','name':'wind direction',
'loc':(0.05,0.9),'ylim':None,'fmt':True},
3:{'var':'apres','name': 'air pressure',
'loc':(0.05,0.9),'ylim':None,'fmt':False},
4:{'var':'relh','name':'relative humidity',
'loc':(0.05,0.05),'ylim':[80,101],'fmt':True},
5:{'var':'wspd','name': 'wind speed',
'loc':(0.05,0.9),'ylim':None,'fmt':True},
6:{'var':'galt','name': 'geopotential alt',
'loc':(0.05,0.9),'ylim':None,'fmt':True},
7:{'var':'jwlwc','name':'liquid water content',
'loc':(0.05,0.9),'ylim':None,'fmt':False},
8:{'var':'wvert','name':'vertical velocity',
'loc':(0.05,0.9),'ylim':[-2,4],'fmt':True},
9:{'var':'palt','name': 'pressure alt',
'loc':(0.05,0.9),'ylim':None,'fmt':True}}
fig, ax = plt.subplots(3,3, sharex=True,figsize=(15,10))
axs=ax.ravel()
for i in varname.items():
item = i[0]
var = i[1]['var']
name = i[1]['name']
loc = i[1]['loc']
ylim = i[1]['ylim']
ax = axs[item-1]
if item < 2: # air temp and dew point in the same plot
axs[0].plot(xaxis,self.met[var],label=name)
if ylim: axs[0].set_ylim(ylim)
if item == 1:
axs[0].grid(True)
axs[0].legend(loc=loc,frameon=False)
else:
ax.plot(xaxis,self.met[var],label=name)
if item == 6:
ax2 = ax.twinx()
ax2.plot(xaxis,topo,'r')
ax2.set_ylabel('topography [m]', color='r')
for tl in ax2.get_yticklabels():
tl.set_color('r')
ax2.grid(False)
if ylim: ax.set_ylim(ylim)
ax.grid(True)
ax.annotate(name, fontsize=16,
xy=loc,
xycoords='axes fraction')
if item == 8:
ax.set_xlabel('Distance from beginning of flight [km]')
new_xticks=[xaxis[i] for i in dots]
adjust_xaxis(axs,new_xticks)
adjust_yaxis(axs) # --> it's affecting formatter
l1='Flight level meteorology for '+self.name
l2='\nStart time: '+self.time[0].strftime('%Y-%m-%d %H:%M')+' UTC'
l3='\nEnd time: '+self.time[1].strftime('%Y-%m-%d %H:%M')+' UTC'
fig.suptitle(l1+l2+l3,y=0.98)
fig.subplots_adjust(bottom=0.08,top=0.9,
hspace=0,wspace=0.2)
plt.draw
