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vertical_speed.py
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vertical_speed.py
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#!/usr/bin/env python
# coding: utf-8
# Program to check out previous flights from the P3 to calculate various speeds..
# In[1]:
get_ipython().run_line_magic('config', 'InlineBackend.rc = {}')
import matplotlib
#matplotlib.rc_file('C:\\Users\\sleblan2\\Research\\python_codes\\file.rc')
import matplotlib.pyplot as plt
get_ipython().run_line_magic('matplotlib', 'notebook')
import numpy as np
#import Pysolar.solar as sol
import datetime
fp='C:/Users/sleblan2/Research/flight_planning/p3_flights/'
# In[2]:
from path_utils import getpath
# In[3]:
import load_utils as lm
# In[4]:
from Sp_parameters import smooth
# In[5]:
fp = getpath('ORACLES')
fp
# ## P3 during ORACLES 2018
# In[12]:
ora,orh = lm.load_ict(fp+'data_other_2018/Hskping_P3_20180927_R0.ict',return_header=True)
# In[29]:
plt.figure()
plt.plot(ora['Ground_Speed'],ora['GPS_Altitude'],'.',label='actual')
alts = np.arange(1000,5400,100)
plt.plot(alts*0.007+110,alts,'g-',lw=6,label='parameterized')
plt.plot(np.arange(5400,7000,100)*0.0+155.0,np.arange(5400,7000,100),'g-',lw=6)
plt.legend(frameon=False,loc=2)
plt.ylabel('Altitude [m]')
plt.xlabel('Ground Speed [m/s]')
# ## P3 during ARCTAS
# In[ ]:
arctas,header = lm.load_ict(fp+'pds_p3b_20080419_r2.ict',return_header=True)
header
# In[41]:
vert_speed_ft = np.diff(arctas['GPS_ALT'])
arctas['GPS_ALT']
# In[45]:
vert_speed = vert_speed_ft*0.3084
# In[55]:
plt.plot(smooth(vert_speed,10),smooth(arctas['GPS_ALT'][1:]*0.3084,10),'b.')
plt.xlabel('Vertical speed [m/s]')
plt.ylabel('Altitude [m]')
plt.title('P-3 vertical speed for ARCTAS')
# ## P3 during DISCOVER-AQ Denver
# In[58]:
discover = lm.load_ict(fp+'discoveraq-pds_p3b_20140807_r1.ict')
# In[59]:
d_vert_speed_ft = np.diff(discover['GPS_ALT'])
# In[60]:
d_vert_speed = d_vert_speed_ft*0.3084
# In[68]:
plt.plot(smooth(d_vert_speed,10),smooth(discover['GPS_ALT'][1:]*0.3084,10),'bo',label='DISCOVER-AQ:\n Boulder')
plt.plot(smooth(vert_speed,10),smooth(arctas['GPS_ALT'][1:]*0.3084,10),'r.',alpha=0.3,label='ARCTAS')
plt.xlabel('Vertical speed [m/s]')
plt.ylabel('Altitude [m]')
plt.title('P-3 vertical speed')
plt.legend(frameon=False,numpoints=1)
plt.savefig(fp+'P3_vert_speed.png',dpi=600,transparent=True)
# In[109]:
vs_up = smooth(vert_speed[(vert_speed>1)&(arctas['GPS_ALT'][1:]*0.3084>6000)],10)
# In[110]:
alt_up = smooth(arctas['GPS_ALT'][1:][(vert_speed>1)&(arctas['GPS_ALT'][1:]*0.3084>6000)],10)
# In[112]:
v,xx = linfit.linfit(alt_up,vs_up)
# In[114]:
p3_slope,p3_interp = v
# In[115]:
p3_slope
# In[118]:
alt1
# In[123]:
alt0 = 5000.0
# In[124]:
speed = 5.0
# In[125]:
climb_time = (alt1-alt0)/speed
# In[126]:
climb_time
# ## For ER2 during SEAC4RS
# In[4]:
er2,header = lm.load_ict(fp+'seac4rs-nasdat_er2_20130821_r0.ict',return_header=True)
# In[5]:
er2_2 = lm.load_ict(fp+'seac4rs-nasdat_er2_20130922_r0.ict',return_header=False)
# In[6]:
header
# In[7]:
er2_vs = np.diff(er2['GPS_Altitude'])
# In[8]:
er22_vs = np.diff(er2_2['GPS_Altitude'])
# In[9]:
import plotting_utils as pu
# In[10]:
plt.plot(smooth(er22_vs,20),smooth(er2_2['GPS_Altitude'][1:],20),'.',color='grey')
plt.plot(smooth(er2_vs,20),smooth(er2['GPS_Altitude'][1:],20),'b.')
plt.plot(smooth(er2_vs[er2_vs<0],20),smooth(er2['GPS_Altitude'][1:][er2_vs<0],20),'r.')
pu.plot_lin(smooth(er2_vs[er2_vs>2],20),smooth(er2['GPS_Altitude'][1:][er2_vs>2],20))
pu.plot_lin(smooth(er2_vs[er2_vs<0],20),smooth(er2['GPS_Altitude'][1:][er2_vs<0],20),color='r')
plt.xlabel('Vertical speed [m/s]')
plt.ylabel('Altitude [m]')
plt.title('ER2 vertical speed from SEAC4RS')
plt.legend(frameon=False)
plt.savefig(fp+'ER2_vert_speed.png',dpi=600,transparent=True)
# Get the inverse relationship for alt to vert speed
# In[11]:
import linfit
v = linfit.linfit(smooth(er2['GPS_Altitude'][1:][er2_vs>2],20),smooth(er2_vs[er2_vs>2],20))
# In[12]:
slope = v[0][0]
intercept = v[0][1]
# In[13]:
slope,intercept
# In[23]:
plt.figure()
plt.plot(smooth(er2['True_Air_Speed'],10),smooth(er2['GPS_Altitude'],10),'.',color='blue')
pu.plot_lin(smooth(er2['True_Air_Speed'],10),smooth(er2['GPS_Altitude'],10),color='blue')
plt.legend(frameon=False,loc=2)
plt.xlabel('True Airspeed [m/s]')
plt.ylabel('Altitude [m]')
plt.title('ER2 Airspeed from SEAC4RS')
plt.savefig(fp+'ER2_airspeed.png',dpi=600,transparent=True)
# In[24]:
vy = linfit.linfit(smooth(er2['GPS_Altitude'],10),smooth(er2['True_Air_Speed'],10))
# In[25]:
slopey,intercepty = vy[0]
# In[26]:
slopey,intercepty
# ## For DC8 during SEAC4RS
# In[127]:
dc8,dc8header = lm.load_ict(fp+'nav_dc8_20080320_r1.ict',return_header=True)
# In[128]:
dc8header
# In[132]:
dc8_vs = np.diff(dc8['GPS_ALT'])
# In[141]:
plt.plot(smooth(dc8_vs,10),smooth(dc8['GPS_ALT'][1:],10),'b.')
plt.plot(15.0-0.001*np.linspace(0,12000),np.linspace(0,12000),label='vs = 15-0.001*alt')
plt.title('DC8 during SEAC4RS')
plt.xlabel('Vertical speed [m/s]')
plt.ylabel('Altitude [m/s]')
plt.legend(frameon=False)
plt.savefig(fp+'DC8_vert_speed.png',dpi=600,transparent=True)
# ## C130 during ARISE
# In[142]:
c130,c130header = lm.load_ict(fp+'arise-C130-Hskping_c130_20140911_RA_Preliminary.ict',return_header=True)
# In[143]:
c130header
# In[147]:
plt.plot(smooth(c130['Vertical_Speed'],10),smooth(c130['GPS_Altitude'],10),'b.')
plt.plot(10-0.001*np.linspace(0,7500),np.linspace(0,7500),label='vs = 10-0.001*alt')
plt.title('C130 vertical speed during ARISE')
plt.xlabel('Vertical Speed [m/s]')
plt.ylabel('Altitude [m]')
plt.legend(frameon=False)
plt.savefig(fp+'C130_vert_speed.png',dpi=600,transparent=True)
# ## Twin Otter during FASE
# In[6]:
fp = getpath('PACE_PAX_DATA')
# In[7]:
import pandas as pd
import plotting_utils as pu
# In[8]:
dat = pd.read_csv(fp+'twinotter/FASE/FASE_Cabin_V5.csv',header=0)
# In[9]:
dat
# In[10]:
plt.figure()
plt.plot(dat['TAS'],dat['Alt_P_m'],'.')
plt.xlabel('True Airspeed [m/s]')
plt.ylabel('Altitude [m]')
plt.title('Twin Otter True Airspeed vs Altitude during FASE (2016-07-18)')
plt.savefig(fp+'twinotter/TO_TAS_FASE.png',dpi=600,transparent=True)
# In[11]:
vert_speed = np.diff(smooth(dat['Alt_P_m'],20,old=True))
fl_up = (vert_speed>0.4) & (vert_speed<10) & (dat['Alt_P_m'][1:]>100.0) & (dat['TAS'][1:]>40.0)
fl_dn = (vert_speed<-0.4)& (vert_speed>-10)& (dat['Alt_P_m'][1:]>100.0) & (dat['TAS'][1:]>40.0)
# In[12]:
plt.figure()
plt.plot(vert_speed,dat['Alt_P_m'][1:],'.',color='grey')
plt.plot(smooth(vert_speed[fl_up],20,old=True),smooth(dat['Alt_P_m'][1:][fl_up],20,old=True),'.',color='g')
pu.plot_lin(smooth(vert_speed[fl_up],20,old=True),smooth(dat['Alt_P_m'][1:][fl_up],20,old=True),color='b')
plt.plot(vert_speed[fl_dn],dat['Alt_P_m'][1:][fl_dn],'.',color='r')
pu.plot_lin(smooth(vert_speed[fl_dn],20,old=True),smooth(dat['Alt_P_m'][1:][fl_dn],20,old=True),color='tab:orange')
plt.xlim(-8,8)
plt.grid()
plt.legend()
plt.xlabel('Vertical speed [m/s]')
plt.ylabel('Altitude [m]')
plt.title('Twin Otter Vertical speed vs Altitude during FASE (2016-07-18)')
plt.savefig(fp+'twinotter/TO_vertspeed_FASE.png',dpi=600,transparent=True)
# In[15]:
plt.figure()
plt.plot(dat['TAS'],dat['Alt_P_m'],'.',label='all')
plt.plot(dat['TAS'][1:][fl_up],dat['Alt_P_m'][1:][fl_up],'.',label='up')
plt.plot(dat['TAS'][1:][fl_dn],dat['Alt_P_m'][1:][fl_dn],'.',label='dn')
pu.plot_lin(smooth(dat['TAS'][1:][fl_up],20,old=True),smooth(dat['Alt_P_m'][1:][fl_up],20,old=True),color='orange')
plt.xlabel('True Airspeed [m/s]')
plt.ylabel('Altitude [m]')
plt.title('Twin Otter True Airspeed vs Altitude during FASE (2016-07-18)')
plt.grid()
plt.legend()
plt.savefig(fp+'twinotter/TO_TAS_FASE.png',dpi=600,transparent=True)
# In[ ]: