Resolved Vector Velocities#
Read in and plot the CEDAR resolved vector velocity “vvels” data product.
%matplotlib inline
import datetime
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
import re
import h5py
import numpy as np
import matplotlib.gridspec as gridspec
import madrigalWeb.madrigalWeb
import os
madrigalUrl='http://cedar.openmadrigal.org'
data = madrigalWeb.madrigalWeb.MadrigalData(madrigalUrl)
user_fullname = 'Student Example'
user_email = 'isr.summer.school@gmail.com'
user_affiliation= 'ISR Summer School 2024'
code = 61 # PFISR
year = 2024
month = 1
day = 8
hour1 = 7
minute1 = 1
hour2 = 13
# list of experiments inside a time period of a day
expList = data.getExperiments(code,year,month,day,hour1,minute1,0,year,month,day,hour2,0,0)
for exp in expList:
print(str(exp))
id: 100278619
realUrl: http://cedar.openmadrigal.org/showExperiment/?experiment_list=100278619
url: http://cedar.openmadrigal.org/madtoc/experiments4/2024/pfa/08jan24a
name: Themis36 - Auroral and convection measurements
siteid: 10
sitename: CEDAR
instcode: 61
instname: Poker Flat IS Radar
startyear: 2024
startmonth: 1
startday: 8
starthour: 7
startmin: 1
startsec: 4
endyear: 2024
endmonth: 1
endday: 8
endhour: 18
endmin: 0
endsec: 0
isLocal: True
madrigalUrl: http://cedar.openmadrigal.org/
PI: Asti Bhatt
PIEmail: asti.bhatt@sri.com
uttimestamp: 1709109883
access: 2
Madrigal version: 3.2
fileList = data.getExperimentFiles(expList[0].id)
for file0 in fileList:
print(os.path.basename(file0.name),'\t', file0.kindat, '\t',file0.kindatdesc)
pfa20240108.001_ac_nenotr_01min.001.h5 1000201 Ne From Power - Alternating Code (E-region) - 1 min
pfa20240108.001_ac_fit_01min.001.h5 2000201 Fitted - Alternating Code (E-region) - 1 min
pfa20240108.001_ac_nenotr_03min.001.h5 1000203 Ne From Power - Alternating Code (E-region) - 3 min
pfa20240108.001_ac_fit_03min.001.h5 2000203 Fitted - Alternating Code (E-region) - 3 min
pfa20240108.001_ac_nenotr_05min.001.h5 1000205 Ne From Power - Alternating Code (E-region) - 5 min
pfa20240108.001_ac_fit_05min.001.h5 2000205 Fitted - Alternating Code (E-region) - 5 min
pfa20240108.001_ac_nenotr_10min.001.h5 1000210 Ne From Power - Alternating Code (E-region) - 10 min
pfa20240108.001_ac_fit_10min.001.h5 2000210 Fitted - Alternating Code (E-region) - 10 min
pfa20240108.001_ac_nenotr_15min.001.h5 1000215 Ne From Power - Alternating Code (E-region) - 15 min
pfa20240108.001_ac_fit_15min.001.h5 2000215 Fitted - Alternating Code (E-region) - 15 min
pfa20240108.001_ac_nenotr_20min.001.h5 1000220 Ne From Power - Alternating Code (E-region) - 20 min
pfa20240108.001_ac_fit_20min.001.h5 2000220 Fitted - Alternating Code (E-region) - 20 min
pfa20240108.001_lp_nenotr_01min.001.h5 1000101 Ne From Power - Long Pulse (F-region) - 1 min
pfa20240108.001_lp_fit_01min.001.h5 2000101 Fitted - Long Pulse (F-region) - 1 min
pfa20240108.001_lp_nenotr_03min.001.h5 1000103 Ne From Power - Long Pulse (F-region) - 3 min
pfa20240108.001_lp_fit_03min.001.h5 2000103 Fitted - Long Pulse (F-region) - 3 min
pfa20240108.001_lp_nenotr_05min.001.h5 1000105 Ne From Power - Long Pulse (F-region) - 5 min
pfa20240108.001_lp_fit_05min.001.h5 2000105 Fitted - Long Pulse (F-region) - 5 min
pfa20240108.001_lp_nenotr_10min.001.h5 1000110 Ne From Power - Long Pulse (F-region) - 10 min
pfa20240108.001_lp_fit_10min.001.h5 2000110 Fitted - Long Pulse (F-region) - 10 min
pfa20240108.001_lp_nenotr_15min.001.h5 1000115 Ne From Power - Long Pulse (F-region) - 15 min
pfa20240108.001_lp_fit_15min.001.h5 2000115 Fitted - Long Pulse (F-region) - 15 min
pfa20240108.001_lp_nenotr_20min.001.h5 1000120 Ne From Power - Long Pulse (F-region) - 20 min
pfa20240108.001_lp_fit_20min.001.h5 2000120 Fitted - Long Pulse (F-region) - 20 min
pfa20240108.001_lp_vvels_01min.001.h5 3000101 Resolved Velocity - Long Pulse (F-region) - 1 min
pfa20240108.001_lp_vvels_03min.001.h5 3000103 Resolved Velocity - Long Pulse (F-region) - 3 min
pfa20240108.001_lp_vvels_05min.001.h5 3000105 Resolved Velocity - Long Pulse (F-region) - 5 min
# Download the file that we need to run these examples
os.makedirs('data', exist_ok=True)
vfilepath= 'data/pfa20240108.001_lp_vvels_01min.001.h5'
if not os.path.exists(vfilepath):
fileList = data.getExperimentFiles(expList[0].id)
for file0 in fileList:
if file0.kindatdesc == 'Resolved Velocity - Long Pulse (F-region) - 1 min':
file2download = file0.name
break
print('Downloading data file...')
file = data.downloadFile(file2download, vfilepath,
user_fullname, user_email, user_affiliation,'hdf5')
print('...Done!')
else:
print(f"File {vfilepath} already downloaded")
File data/pfa20240108.001_lp_vvels_01min.001.h5 already downloaded
Line-of-Sight Velocity [ms-1]#
The velocity array is in the 2D Parameters:
VIPN: perp north
VIPE: perp east
VI6: antiparallel
Dimensons: Nlatitude X Nrecords
with h5py.File(vfilepath, 'r') as v:
times=[datetime.datetime(1970,1,1)+datetime.timedelta(seconds=int(t)) for t in v['Data']['Array Layout']['timestamps']]
cgm_lat=np.array(v['Data']['Array Layout']['cgm_lat'])
vipn = np.array(v['Data']['Array Layout']['2D Parameters']['vipn'])
dvipn = np.array(v['Data']['Array Layout']['2D Parameters']['dvipn'])
vipe = np.array(v['Data']['Array Layout']['2D Parameters']['vipe'])
dvipe = np.array(v['Data']['Array Layout']['2D Parameters']['dvipe'])
vi6 = np.array(v['Data']['Array Layout']['2D Parameters']['vi6'])
dvi6 = np.array(v['Data']['Array Layout']['2D Parameters']['dvi6'])
Resolved Vector Velocity Data#
with h5py.File(vfilepath, 'r') as v:
utime= np.array([datetime.datetime(1970,1,1)+datetime.timedelta(seconds=int(t)) for t in v['Data']['Array Layout']['timestamps']])
mlat= np.array(v['Data']['Array Layout']['cgm_lat'])
vipn = np.array(v['Data']['Array Layout']['2D Parameters']['vipn'])
vipe = np.array(v['Data']['Array Layout']['2D Parameters']['vipe'])
vi6 = np.array(v['Data']['Array Layout']['2D Parameters']['vi6'])
#print(np.array(v['Data']['Array Layout']['2D Parameters']['Data Parameters']))
vel = np.array([vipe,vipn,vi6]).T
time = utime.astype('datetime64[s]')
plt.rcParams.update({'font.size': 14})
fig = plt.figure(figsize=(12,8))
gs = gridspec.GridSpec(3,1)
ax = [fig.add_subplot(gs[i]) for i in range(3)]
for i in range(3):
c = ax[i].pcolormesh(time, mlat, vel[:,:,i].T, vmin=-500., vmax=500., cmap='coolwarm')
ax[i].set_ylabel('Magnetic Latitude', fontsize=14)
ax[i].tick_params(axis='both', labelsize=10) # Change tick label size for both axes
fig.colorbar(c, label=fr'$Ve_{i+1}$ (m/s)')
ax[2].set_xlabel('Universal Time')
Text(0.5, 0, 'Universal Time')
![_images/53e8e5e6fe918cbd6586e29e23ade4dfb0e6e21eafb6e2d21c250f1f1de1a278.png](_images/53e8e5e6fe918cbd6586e29e23ade4dfb0e6e21eafb6e2d21c250f1f1de1a278.png)
Electric Field#
The electric field and velocity in the resolved velocities files are not independent measurements. Both are provided for user convenience. By definition, there is no parallel electric field component
with h5py.File(vfilepath, 'r') as v:
param = list(v['Data']['Array Layout']['2D Parameters']['Data Parameters'])
utime= np.array([datetime.datetime(1970,1,1)+datetime.timedelta(seconds=int(t)) for t in v['Data']['Array Layout']['timestamps']])
mlat= np.array(v['Data']['Array Layout']['cgm_lat'])
epn = np.array(v['Data']['Array Layout']['2D Parameters']['epn'])
epe = np.array(v['Data']['Array Layout']['2D Parameters']['epe'])
e3 = np.zeros_like(epe)
efield = np.array([epe,epn,e3]).T
time = utime.astype('datetime64[s]')
plt.rcParams.update({'font.size': 14})
fig = plt.figure(figsize=(12,8))
gs = gridspec.GridSpec(3,1)
ax = [fig.add_subplot(gs[i]) for i in range(3)]
for i in range(3):
c = ax[i].pcolormesh(time, mlat, efield[:,:,i].T, vmin=-0.05, vmax=0.05, cmap='coolwarm')
ax[i].set_ylabel('Magnetic Latitude')
ax[i].tick_params(axis='both', labelsize=10) # Change tick label size for both axes
fig.colorbar(c, label=fr'$Ed_{i+1}$ (V/m)')
ax[2].set_xlabel('Universal Time')
Text(0.5, 0, 'Universal Time')
![_images/6f86750e64a95377c3f7a2ed1a911c87c398e45db2e89155be934ba6cdf144c4.png](_images/6f86750e64a95377c3f7a2ed1a911c87c398e45db2e89155be934ba6cdf144c4.png)