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dmspPlot_42.py
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dmspPlot_42.py
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# -*- coding: utf-8 -*-
#Code used for finding RFEs and making the plots used in the Master Theisis of Kristian Reed
#Written by Kristian Reed 10.06.2017
from __future__ import print_function, division
import datetime as dt
import numpy as np
import matplotlib.pyplot as plt
from scipy.io import netcdf
from matplotlib import patheffects as pe
import matplotlib as mpl
import basemag
import cvdm
from davitpy import utils
from davitpy import pydarn
from fanRfe import *
from tools import *
sz = cvdm.journal_sizes.agu(baseFontSize=7)
plt.figure(figsize=(sz.maxwidth, sz.maxwidth*11/8.5), dpi=sz.dpi(sz.maxwidth*11/8.5))
fig=plt.figure()
ax = fig.add_subplot(111)
plt.subplots_adjust(bottom=0.1, left=0.02, top=0.95, right=0.92, wspace=0.01)
map_date_ = dt.datetime(2014, 12, 04, 18, 46)
#f ='./files/dmsp/rfe21_PS.APL_V0116S024CE0008_SC.U_DI.A_GP.F17-SSUSI_PA.APL-SDR-DISK_DD.20141203_SN.41685-00_DF.NC' #my file
f ='./files/dmsp/rfe42_PS.APL_V0116S024CE0018_SC.U_DI.A_GP.F16-SSUSI_PA.APL-SDR-DISK_DD.20141204_SN.57424-00_DF.NC' #my file
map_ = basemag.Basemag(datetime=map_date_, lon_0='mlt', lat_0=90,
width=5e6, height=5e6, resolution='l', ax=ax)
#map_ = utils.mapObj(boundinglat=65., lon_0=270, coords='mlt',datetime=map_date_)
#plt.figure(figsize=(9,9))
title = 'RFE:42 DMSP F16 and SuperDARN 04.12.2014 18:46'
map_.drawcoastlines(linewidth=0.5, zorder=4, color='.7')
map_.fillcontinents(color='0.95')
map_.drawparallels(range(0, 90, 5), color='0.6', coords='mlt', lonlabel=0.5,
lonlabel_kwargs=dict(color='0.6', fontweight='bold',
path_effects=[pe.withStroke(foreground='w', linewidth=sz.lw*4)]))
map_.drawmeridians(range(0, 24, 1), coords='mlt', color='0.6', latmax=85)
ax.set_title(title, loc='left', fontsize='medium')
# SSUSI
fh = netcdf.netcdf_file(f, mmap=False)
lats = fh.variables['PIERCEPOINT_DAY_LATITUDE'].data
lons = fh.variables['PIERCEPOINT_DAY_LONGITUDE'].data
alts = fh.variables['PIERCEPOINT_DAY_ALTITUDE'].data
sc_lat = fh.variables['DMSP_LATITUDE'].data.ravel()
sc_lon = fh.variables['DMSP_LONGITUDE'].data.ravel()
sc_alt = fh.variables['DMSP_ALTITUDE'].data.ravel()
sc_time = [dt.datetime(2014, 12, 04) + dt.timedelta(seconds=x) for x in fh.variables['DMSP_COORDS_TIME'].data.ravel()]
data1 = fh.variables['DISK_INTENSITY_DAY'].data[:, :, 2]
data2 = fh.variables['DISK_INTENSITY_DAY'].data[:, :, 3]
data3 = fh.variables['DISK_INTENSITY_DAY'].data[:, :, 4]
uselats = np.nanmin(lats, axis=0) > 60
N = 1
# for data in [data1, data2, data3]:
for data in [data2]:
p = map_.pcolormesh(lons[:, uselats], lats[:, uselats], data[:, uselats], latlon=True, coords='geo', zorder=1.9,
vmin=0, vmax=1000,
ax=ax, alpha=1/N, cmap='Greens')
p.set_rasterized(True)
N += 1
#===================================================
#Satellite Trajectory
#===================================================
#Add Time tag
for i, time in enumerate(sc_time):
if time.minute % 5 == 0 and time.second == 0:
x, y = map_(sc_lon[i], sc_lat[i], coords='geo')#, height=sc_alt[i])
if map_.llcrnrx < x < map_.urcrnrx and map_.llcrnry < y < map_.urcrnry:
map_.plot(x, y, marker='o', markersize=6, color='b', markeredgecolor='w', zorder=7, ax=ax)
ax.text(x, y, 'DMSP '+'{:%H:%M}'.format(time), color='k', zorder=7, fontsize=3, fontweight='bold',
path_effects=[pe.withStroke(foreground='w', linewidth=2)])
#Add sircle for every minute
for i, time in enumerate(sc_time):
if time.second == 0:
x, y = map_(sc_lon[i], sc_lat[i], coords='geo')#, height=sc_alt[i])
if map_.llcrnrx < x < map_.urcrnrx and map_.llcrnry < y < map_.urcrnry:
map_.plot(x, y, marker='o', markersize=3, color='b', markeredgecolor='w', zorder=7, ax=ax)
#Add satellite track
map_.plot(sc_lon, sc_lat, latlon=True, coords='geo', color='b',# height=sc_alt,
zorder=6, ax=ax, path_effects=[pe.withStroke(foreground='w', linewidth=2)])
#===================================================
#Add SuperDARN Scan
#===================================================
sTime=dt.datetime(2014, 12, 04, 18, 46)
data = pydarn.sdio.radDataRead.radDataOpen(sTime, 'inv', eTime=sTime+dt.timedelta(seconds=60))
scan = data.readScan(firstBeam=0,useEvery=1,showBeams=True)
#fov = pydarn.radar.radFov.fov(site='inv',ngates=scan[0].prm.nrang,coords='mag')
ax2 = fig.add_subplot(111)
intensities,pcoll=overlayFanRfe(scan, map_, fig, 'velocity', coords='mag', gsct=False, site=None,
fov=None, gs_flg=[], fill=True, velscl=500., dist=500.,
cmap='seismic', norm=plt.Normalize(vmin=-500, vmax=500), alpha=0.6)
#Colorbars
cvdm.cbar_below(ax, mappable=p, topOffset=0.01, height=0.015, rasterize=True, ticks=[0, 250, 500, 750, 1000], label='Radiance [R]')
cvdm.cbar_right(ax2, use_ColorbarBase=True, cmap='seismic', norm=plt.Normalize(vmin=-500, vmax=500),
ticks=[-500, -250, 0, 250, 500], label='Velocity [m/s]')
plt.savefig('./dmsp42.png', dpi=600)