예제 #1
0
파일: gnssir.py 프로젝트: jlm365/gnssrefl
def gnssir_guts(station, year, doy, snr_type, extension, lsp):
    """
    my attempt to separate the inputs to the code and the guts of the code
    inputs are station name, year, day of year (integers)
    snr_type is an integer (99, 66, etc). lsp is a json
    """

    #   make sure environment variables exist.  set to current directory if not
    g.check_environ_variables()

    e1 = lsp['e1']
    e2 = lsp['e2']
    minH = lsp['minH']
    maxH = lsp['maxH']
    ediff = lsp['ediff']
    NReg = lsp['NReg']
    PkNoise = lsp['PkNoise']
    azval = lsp['azval']
    naz = int(len(azval) / 2)
    freqs = lsp['freqs']
    reqAmp = lsp['reqAmp']
    plot_screen = lsp['plt_screen']
    onesat = lsp['onesat']
    screenstats = lsp['screenstats']
    azval = lsp['azval']

    d = g.doy2ymd(year, doy)
    month = d.month
    day = d.day
    dmjd, fracS = g.mjd(year, month, day, 0, 0, 0)
    xdir = os.environ['REFL_CODE']
    ann = g.make_nav_dirs(year)  # make sure directories are there for orbits
    g.result_directories(station, year,
                         extension)  # make directories for the LSP results

    # this defines the minimum number of points in an arc.  This depends entirely on the sampling
    # rate for the receiver, so you should not assume this value is relevant to your case.
    minNumPts = 20
    p, T, irefr = set_refraction_params(station, dmjd, lsp)

    # only doing one day at a time for now - but have started defining the needed inputs for using it
    twoDays = False
    obsfile2 = ''  # dummy value for name of file for the day before, when we get to that
    fname, resultExist = g.LSPresult_name(station, year, doy, extension)

    if (resultExist):
        print('Results already exist on disk')
    if (lsp['overwriteResults'] == False) & (resultExist == True):
        allGood = 0
        print(
            '>>>>> The result file exists for this day and you have selected the do not overwrite option'
        )
        sys.exit()
    print('go ahead and access SNR data - first define SNR filename')
    obsfile, obsfileCmp, snre = g.define_and_xz_snr(station, year, doy,
                                                    snr_type)
    print(obsfile, 'snrexistence', snre, ' and ', snr_type)
    if (not snre) and (not lsp['seekRinex']):
        print(
            'SNR file does not exist and you have set the seekRinex variable to False'
        )
        print('Use rinex2snr.py to make SNR files')
        sys.exit()
    if (not snre) and lsp['seekRinex']:
        print('SNR file does not exist. I will try to make a GPS only file.')
        rate = 'low'
        dec_rate = 0
        orbtype = 'nav'
        g.quick_rinex_snrC(year, doy, station, snr_type, orbtype, rate,
                           dec_rate)

    allGood, sat, ele, azi, t, edot, s1, s2, s5, s6, s7, s8, snrE = snr.read_snr_multiday(
        obsfile, obsfile2, twoDays)
    snr.compress_snr_files(lsp['wantCompression'], obsfile, obsfile2, twoDays)
    # SNR exists - go ahead
    if (allGood == 1):
        ele = apply_refraction_corr(lsp, ele, p, T)
        fout, frej = g.open_outputfile(station, year, doy, extension)
        #  main loop a given list of frequencies
        total_arcs = 0
        ct = 0
        for f in freqs:
            if plot_screen: fig, (ax1, ax2) = plt.subplots(2, 1)
            rj = 0
            gj = 0
            print('**** looking at frequency ', f, ' ReqAmp', reqAmp[ct],
                  ' doy ', doy, 'YYYY/MM/DD', year, month, day)
            #   get the list of satellites for this frequency
            if onesat == None:
                satlist = g.find_satlist(f, snrE)
            else:
                satlist = onesat
                if (int(satlist[0]) < 100) and (f > 100):
                    print('wrong satellite name for this frequency')

            for satNu in satlist:
                #if screenstats: print('Satellite', satNu)
                for a in range(naz):
                    az1 = azval[(a * 2)]
                    az2 = azval[(a * 2 + 1)]
                    x, y, Nv, cf, UTCtime, avgAzim, avgEdot, Edot2, delT = g.window_data(
                        s1, s2, s5, s6, s7, s8, sat, ele, azi, t, edot, f, az1,
                        az2, e1, e2, satNu, lsp['polyV'], lsp['pele'],
                        screenstats)
                    MJD = g.getMJD(year, month, day, UTCtime)
                    if Nv > minNumPts:
                        maxF, maxAmp, eminObs, emaxObs, riseSet, px, pz = g.strip_compute(
                            x, y, cf, maxH, lsp['desiredP'], lsp['polyV'],
                            minH)
                        nij = pz[(px > NReg[0]) & (px < NReg[1])]
                        Noise = 0
                        if (len(nij) > 0):
                            Noise = np.mean(nij)
                        iAzim = int(avgAzim)
                        okPk = True
                        if abs(maxF -
                               minH) < 0.10:  #  peak too close to min value
                            okPk = False
                            print(
                                'found a peak too close to the edge of the restricted RH region'
                            )
                        if okPk & (delT < lsp['delTmax']) & (
                                eminObs <
                            (e1 + ediff)) & (emaxObs > (e2 - ediff)) & (
                                maxAmp > reqAmp[ct]) & (maxAmp / Noise >
                                                        PkNoise):
                            fout.write(
                                " {0:4.0f} {1:3.0f} {2:6.3f} {3:3.0f} {4:6.3f} {5:6.2f} {6:6.2f} {7:6.2f} {8:6.2f} {9:4.0f} {10:3.0f} {11:2.0f} {12:8.5f} {13:6.2f} {14:7.2f} {15:12.6f} {16:1.0f} \n"
                                .format(year, doy, maxF, satNu, UTCtime,
                                        avgAzim, maxAmp, eminObs, emaxObs, Nv,
                                        f, riseSet, Edot2, maxAmp / Noise,
                                        delT, MJD, irefr))
                            gj += 1
                            if screenstats:
                                T = g.nicerTime(UTCtime)
                                print(
                                    'SUCCESS Azimuth {0:3.0f} Sat {1:3.0f} RH {2:7.3f} m PkNoise {3:4.1f} Amp {4:4.1f} Fr{5:3.0f} UTC {6:5s} DT {7:3.0f} '
                                    .format(iAzim, satNu, maxF, maxAmp / Noise,
                                            maxAmp, f, T, round(delT)))
                            if plot_screen:
                                local_update_plot(x, y, px, pz, ax1, ax2)
                        else:
                            rj += 1
                            if screenstats:
                                print(
                                    'FAILED QC for Azimuth {0:.1f} Satellite {1:2.0f} UTC {2:5.2f}'
                                    .format(iAzim, satNu, UTCtime))
                                g.write_QC_fails(delT, lsp['delTmax'], eminObs,
                                                 emaxObs, e1, e2, ediff,
                                                 maxAmp, Noise, PkNoise,
                                                 reqAmp[ct])
            print(
                '================================================================================='
            )
            print('     Frequency ', f, ' good arcs:', gj, ' rejected arcs:',
                  rj)
            print(
                '================================================================================='
            )
            total_arcs = gj + total_arcs
            # close the output files
            ct += 1
            #'Yes' if fruit == 'Apple' else 'No'
            if plot_screen: plot2screen(station, f, ax1, ax2, lsp['pltname'])
        fout.close()
예제 #2
0
def run_rinex2snr(station, year_list, doy_list, isnr, orbtype, rate, dec_rate,
                  archive, fortran, nol, overwrite, translator):
    """
    runs the rinex 2 snr conversion
    inputs:
    station name 
    year_list list of years to be analyzed
    doy_list list of doy to be analyzed
    isnr = integer file type choice
    orbtype = 3character orbit type
    rate = high or low
    dec_rate = integer for decimation
    archive = allows you to pick a specific archive
    fortran = boolean, whether you use fortran rinex translators
    nol = boolean for nolook, if set to True, then it will assume RINEX files are in local directory
    overwrite = boolean, make a new SNR file even if one already exists

    2021feb11, kristine Larson
    ultimately we will get rid of the fortran option, but we are keeping it for backwards compatibility
    translator has three possibilies: fortran, python, or hybrid. the hybrid option requires 
    you to have compiled the fortran code using numpy.f2py
    """

    NS = len(station)
    if (NS == 4):
        #print('Assume RINEX 2.11');
        version = 2
        station = station.lower()
    elif (NS == 9):
        #print('Assume RINEX 3');
        version = 3
        station9ch = station.upper()
        station = station[0:4].lower()
    else:
        print(
            'Illegal station input - Station must have 4 or 9 characters. Exiting'
        )
        sys.exit()


# loop thru years and days
    for year in year_list:
        ann = g.make_nav_dirs(year)
        for doy in doy_list:
            csnr = str(isnr)
            cdoy = '{:03d}'.format(doy)
            cyy = '{:02d}'.format(year - 2000)
            # first, check to see if the SNR file exists
            fname = quickname(station, year, cyy, cdoy, csnr)
            #print(fname)
            snre = g.snr_exist(station, year, doy, csnr)
            if snre:
                print('SNR file exists', fname)
                if overwrite:
                    #print('you requested it be overwritten, so removing file')
                    subprocess.call(['rm', fname])
                    snre = False
            if (not snre):
                r = station + cdoy + '0.' + cyy + 'o'
                rgz = station + cdoy + '0.' + cyy + 'o.gz'
                print('Will seek RINEX file ', station, ' year:', year,
                      ' doy:', doy, ' translate with ', translator)
                if nol:
                    # this assumes RINEX file is in local directory
                    if version == 2:
                        if os.path.exists(r) or os.path.exists(rgz):
                            #print('RINEX 2 file exists locally')
                            if not os.path.exists(r):
                                subprocess.call(['gunzip', rgz])
                            conv2snr(year, doy, station, isnr, orbtype, rate,
                                     dec_rate, archive, fortran, translator)
                        else:
                            print(
                                'You Chose the No Look Option, but did not provide the needed RINEX file.'
                            )
                    if version == 3:
                        r3 = station9ch + '_R_' + str(
                            year) + cdoy + '0000_01D_30S_MO.rnx'
                        r3gz = station9ch + '_R_' + str(
                            year) + cdoy + '0000_01D_30S_MO.rnx.gz'
                        r2 = station + cdoy + '0.' + cyy + 'o'
                        if os.path.exists(r3gz):
                            subprocess.call(['gunzip', r3gz])
                        if os.path.exists(r3):
                            #print('RINEX 3 file exists locally')
                            fexists = g.new_rinex3_rinex2(r3, r2)
                            if fexists:
                                #print('Rinex 3 to 2 conversion worked, now convert to snr format')
                                conv2snr(year, doy, station, isnr, orbtype,
                                         rate, dec_rate, archive, fortran,
                                         translator)
                            else:
                                print(
                                    'Something about the RINEX 3-2 conversion did not work'
                                )
                        else:
                            print(
                                'You Chose the No Look Option, but did not provide the needed RINEX3 file.'
                            )

                else:
                    #print('will look for the RINEX file both locally and externally')
                    if version == 3:
                        #print('rinex 3 search with orbtype ', orbtype)
                        srate = 30  # rate supported by CDDIS
                        rinex2exists, rinex3name = g.cddis_rinex3(
                            station9ch, year, doy, srate, orbtype)
                        if not rinex2exists:
                            # try again - unavco has 15 sec I believe
                            srate = 15
                            rinex2exists, rinex3name = g.unavco_rinex3(
                                station9ch, year, doy, srate, orbtype)
                        subprocess.call(['rm', '-f',
                                         rinex3name])  # remove rinex3 file
                        if rinex2exists:
                            conv2snr(year, doy, station, isnr, orbtype, rate,
                                     dec_rate, archive, fortran, translator)
                        else:
                            print('RINEX file does not exist for ', year, doy)
                    else:
                        # this is rinex version 2
                        conv2snr(year, doy, station, isnr, orbtype, rate,
                                 dec_rate, archive, fortran, translator)
예제 #3
0
def quickLook_function(station, year, doy, snr_type, f, e1, e2, minH, maxH,
                       reqAmp, pele, satsel, PkNoise, fortran, pltscreen):
    """
    inputs:
    station name (4 char), year, day of year
    snr_type is the file extension (i.e. 99, 66 etc)
    f is frequency (1, 2, 5), etc
    e1 and e2 are the elevation angle limits in degrees for the LSP
    minH and maxH are the allowed LSP limits in meters
    reqAmp is LSP amplitude significance criterion
    pele is the elevation angle limits for the polynomial removal.  units: degrees
    KL 20may10 pk2noise value is now sent from main function, which can be set online
    KL 20aug07 added fortran boolean
    KL 21feb06 return data from the plots so that Jupyter notebooks can use them.
    also added pltscreen variable so that the default plots are not always displayed
    """
    #  return data to Jupyter Notebook people, good results
    nw = {}
    sw = {}
    ne = {}
    se = {}
    # failed periodograms
    failnw = {}
    failsw = {}
    failne = {}
    failse = {}
    list1 = {}
    # list of satellites in each quadrant
    list1['NW'] = []
    list1['NE'] = []
    list1['SW'] = []
    list1['SE'] = []
    list1['failNW'] = []
    list1['failNE'] = []
    list1['failSW'] = []
    list1['failSE'] = []

    # try the kelly way
    data = {
        'NW': {},
        'SW': {},
        'NE': {},
        'SE': {},
        'fNW': {},
        'fSW': {},
        'fNE': {},
        'fSE': {}
    }

    # make sure environment variables exist
    g.check_environ_variables()

    if not os.path.isdir('logs'):
        subprocess.call(['mkdir', 'logs'])

    webapp = False
    # orbit directories
    ann = g.make_nav_dirs(year)
    # titles in 4 quadrants - for webApp
    titles = ['Northwest', 'Southwest', 'Northeast', 'Southeast']
    stitles = ['NW', 'SW', 'NE', 'SE']
    # define where the axes are located
    bx = [0, 1, 0, 1]
    by = [0, 0, 1, 1]
    bz = [1, 3, 2, 4]

    # various defaults - ones the user doesn't change in this quick Look code
    delTmax = 70
    polyV = 4  # polynomial order for the direct signal
    desiredP = 0.01  # 1 cm precision
    ediff = 2  # this is a QC value, eliminates small arcs
    #four_in_one = True # put the plots together
    minNumPts = 20
    #noise region for LSP QC. these are meters
    NReg = [minH, maxH]
    #print('Refl. Ht. Noise Region used: ', NReg)
    # for quickLook, we use the four geographic quadrants - these are azimuth angles in degrees
    azval = [270, 360, 180, 270, 0, 90, 90, 180]
    naz = int(len(azval) / 2)  # number of azimuth pairs
    pltname = 'temp.png'  # default plot
    requireAmp = reqAmp[0]
    screenstats = True

    # to avoid having to do all the indenting over again
    # this allows snr file to live in main directory
    # not sure that that is all that useful as I never let that happen
    obsfile = g.define_quick_filename(station, year, doy, snr_type)
    if os.path.isfile(obsfile):
        print('>>>> The snr file exists ', obsfile)
    else:
        if True:
            #print('looking for the SNR file on disk')
            obsfile, obsfileCmp, snre = g.define_and_xz_snr(
                station, year, doy, snr_type)
            if snre:
                dkfjaklj = True
                #print('file exists on disk')
            else:
                print('>>>> The SNR the file does not exist ', obsfile)
                print(
                    'This code used to try and make one for you, but I have removed this option.'
                )
                print('Please us rinex2snr and make a SNR file')
                sys.exit()
    allGood, sat, ele, azi, t, edot, s1, s2, s5, s6, s7, s8, snrE = read_snr_simple(
        obsfile)
    if allGood == 1:
        # make output file for the quickLook RRH values, just so you can give them a quick look see
        rhout = open('logs/rh.txt', 'w+')
        amax = 0
        minEdataset = np.min(ele)
        print('minimum elevation angle (degrees) for this dataset: ',
              minEdataset)
        if minEdataset > (e1 + 0.5):
            print('It looks like the receiver had an elevation mask')
            e1 = minEdataset
        if pltscreen:
            plt.figure(figsize=(10, 6))
        for a in range(naz):
            if pltscreen:
                plt.subplot(2, 2, bz[a])
                plt.title(titles[a])
            az1 = azval[(a * 2)]
            az2 = azval[(a * 2 + 1)]
            # this means no satellite list was given, so get them all
            if satsel == None:
                satlist = g.find_satlist(f, snrE)
            else:
                satlist = [satsel]

            for satNu in satlist:
                x, y, Nv, cf, UTCtime, avgAzim, avgEdot, Edot2, delT = g.window_data(
                    s1, s2, s5, s6, s7, s8, sat, ele, azi, t, edot, f, az1,
                    az2, e1, e2, satNu, polyV, pele, screenstats)
                if Nv > minNumPts:
                    maxF, maxAmp, eminObs, emaxObs, riseSet, px, pz = g.strip_compute(
                        x, y, cf, maxH, desiredP, polyV, minH)
                    nij = pz[(px > NReg[0]) & (px < NReg[1])]
                    Noise = 0
                    iAzim = int(avgAzim)
                    if (len(nij) > 0):
                        Noise = np.mean(nij)
                    else:
                        Noise = 1
                        iAzim = 0  # made up numbers
                    if (delT < delTmax) & (eminObs < (e1 + ediff)) & (
                            emaxObs >
                        (e2 - ediff)) & (maxAmp > requireAmp) & (maxAmp / Noise
                                                                 > PkNoise):
                        T = g.nicerTime(UTCtime)
                        rhout.write(
                            'SUCCESS Azimuth {0:3.0f} RH {1:6.3f} m, Sat {2:3.0f} Freq {3:3.0f} Amp {4:4.1f} PkNoise {5:3.1f} UTC {6:5s} \n '
                            .format(avgAzim, maxF, satNu, f, maxAmp,
                                    maxAmp / Noise, T))
                        if pltscreen:
                            plt.plot(px, pz, linewidth=1.5)
                        if a == 0:
                            nw[satNu] = [px, pz]
                            list1['NW'].append(satNu)
                        elif a == 1:
                            sw[satNu] = [px, pz]
                            list1['SW'].append(satNu)
                        elif a == 2:
                            ne[satNu] = [px, pz]
                            list1['NE'].append(satNu)
                        elif a == 3:
                            se[satNu] = [px, pz]
                            list1['SE'].append(satNu)
                        idc = stitles[a]
                        data[idc][satNu] = [px, pz]

                    else:
                        # these are failed tracks
                        if pltscreen:
                            plt.plot(px, pz, 'gray', linewidth=0.5)
                        if a == 0:
                            failnw[satNu] = [px, pz]
                            list1['failNW'].append(satNu)
                        elif a == 1:
                            failsw[satNu] = [px, pz]
                            list1['failSW'].append(satNu)
                        elif a == 2:
                            failne[satNu] = [px, pz]
                            list1['failNE'].append(satNu)
                        elif a == 3:
                            failse[satNu] = [px, pz]
                            list1['failSE'].append(satNu)
                        idc = 'f' + stitles[a]
                        data[idc][satNu] = [px, pz]

            # i do not know how to add a grid using these version of matplotlib
            tt = 'GNSS-IR results: ' + station.upper() + ' Freq:' + g.ftitle(
                f) + ' Year/DOY:' + str(year) + ',' + str(doy)
            if pltscreen:
                aaa, bbb = plt.ylim()
                amax = max(amax, bbb)  # do not know how to implement this ...
                if (a == 3) or (a == 1):
                    plt.xlabel('reflector height (m)')
                if (a == 1) or (a == 0):
                    plt.ylabel('volts/volts')

        rhout.close()
        print(
            'preliminary reflector height results are stored in a file called logs/rh.txt'
        )
        # do not plot if sending data to Jupyter Notebooks
        if pltscreen:
            plt.suptitle(tt, fontsize=12)
            plt.show()

    else:
        print(
            'some kind of problem with SNR file, so I am exiting the code politely.'
        )

    return data
예제 #4
0
def quickLook_function(station, year, doy, snr_type,f,e1,e2,minH,maxH,reqAmp,pele,satsel,PkNoise,fortran):
    """
    inputs:
    station name (4 char), year, day of year
    snr_type is the file extension (i.e. 99, 66 etc)
    f is frequency (1, 2, 5), etc
    e1 and e2 are the elevation angle limits in degrees for the LSP
    minH and maxH are the allowed LSP limits in meters
    reqAmp is LSP amplitude significance criterion
    pele is the elevation angle limits for the polynomial removal.  units: degrees
    KL 20may10 pk2noise value is now sent from main function, which can be set online
    KL 20aug07 added fortran boolean
    """
    # make sure environment variables exist
    g.check_environ_variables()

    if not os.path.isdir('logs'):
        subprocess.call(['mkdir', 'logs'])

    webapp = False 
    # orbit directories
    ann = g.make_nav_dirs(year)
    # titles in 4 quadrants - for webApp
    titles = ['Northwest', 'Southwest','Northeast', 'Southeast']
    # define where the axes are located
    bx = [0,1,0,1]; by = [0,0,1,1]; bz = [1,3,2,4]

    # various defaults - ones the user doesn't change in this quick Look code
    delTmax = 70
    polyV = 4 # polynomial order for the direct signal
    desiredP = 0.01 # 1 cm precision
    ediff = 2 # this is a QC value, eliminates small arcs
    #four_in_one = True # put the plots together
    minNumPts = 20 
    #noise region for LSP QC. these are meters
    NReg = [minH, maxH]
    #print('Refl. Ht. Noise Region used: ', NReg)
    # for quickLook, we use the four geographic quadrants - these are azimuth angles in degrees
    azval = [270, 360, 180, 270, 0, 90, 90, 180]
    naz = int(len(azval)/2) # number of azimuth pairs
    pltname = 'temp.png' # default plot
    requireAmp = reqAmp[0]
    screenstats = True

# to avoid having to do all the indenting over again
# this allows snr file to live in main directory
# not sure that that is all that useful as I never let that happen
    obsfile = g.define_quick_filename(station,year,doy,snr_type)
    if os.path.isfile(obsfile):
        print('>>>> The snr file exists ',obsfile)
    else:
        if True:
            #print('looking for the SNR file on disk')
            obsfile, obsfileCmp, snre =  g.define_and_xz_snr(station,year,doy,snr_type)
            if snre:
                dkfjaklj = True
                #print('file exists on disk')
            else:
                print('>>>> The SNR the file does not exist ',obsfile)
                print('This code used to try and make one for you, but I have removed this option.')
                print('Please us rinex2snr and make a SNR file')
                sys.exit()
                #print('I will try to pick up a RINEX file ')
                #print('and translate it for you. This will be GPS only.')
                #print('For now I will check all the official archives for you.')
                #rate = 'low'; dec_rate = 0; archive = 'all'; 
                #rinex.conv2snr(year, doy, station, int(snr_type), 'nav',rate,dec_rate,archive,fortran)
                #if os.path.isfile(obsfile):
                #    print('the SNR file now exists')  
                #else:
                #    print('the RINEX file did not exist, had no SNR data, or failed to convert, so exiting.')
    allGood,sat,ele,azi,t,edot,s1,s2,s5,s6,s7,s8,snrE = read_snr_simple(obsfile)
    if allGood == 1:
        # make output file for the quickLook RRH values, just so you can give them a quick look see
        rhout = open('logs/rh.txt','w+')
        amax = 0
        minEdataset = np.min(ele)
        print('minimum elevation angle (degrees) for this dataset: ', minEdataset)
        if minEdataset > (e1+0.5):
            print('It looks like the receiver had an elevation mask')
            e1 = minEdataset
        if webapp:
            fig = Figure(figsize=(10,6), dpi=120)
            axes = fig.subplots(2, 2)
        else:
            #plt.figure()
            # trying to help Kelly
            plt.figure(figsize=(10,6))
        for a in range(naz):
            if not webapp:
                plt.subplot(2,2,bz[a])
                plt.title(titles[a])
            az1 = azval[(a*2)] ; az2 = azval[(a*2 + 1)]
            # this means no satellite list was given, so get them all
            if satsel == None:
                satlist = g.find_satlist(f,snrE)
            else:
                satlist = [satsel]

            for satNu in satlist:
                x,y,Nv,cf,UTCtime,avgAzim,avgEdot,Edot2,delT= g.window_data(s1,s2,s5,s6,s7,s8,sat,ele,azi,t,edot,f,az1,az2,e1,e2,satNu,polyV,pele,screenstats) 
                if Nv > minNumPts:
                    maxF, maxAmp, eminObs, emaxObs,riseSet,px,pz= g.strip_compute(x,y,cf,maxH,desiredP,polyV,minH) 
                    nij =   pz[(px > NReg[0]) & (px < NReg[1])]
                    Noise = 0
                    iAzim = int(avgAzim)
                    if (len(nij) > 0):
                        Noise = np.mean(nij)
                    else:
                        Noise = 1; iAzim = 0 # made up numbers
                    if (delT < delTmax) & (eminObs < (e1 + ediff)) & (emaxObs > (e2 - ediff)) & (maxAmp > requireAmp) & (maxAmp/Noise > PkNoise):
                        T = g.nicerTime(UTCtime)
                        rhout.write('SUCCESS Azimuth {0:3.0f} RH {1:6.3f} m, Sat {2:3.0f} Freq {3:3.0f} Amp {4:4.1f} PkNoise {5:3.1f} UTC {6:5s} \n '.format( 
                            avgAzim,maxF,satNu,f,maxAmp,maxAmp/Noise,T))
                        if not webapp:
                            plt.plot(px,pz,linewidth=1.5)
                        else:
                            axes[bx[a],by[a]].plot(px,pz,linewidth=2)
                            axes[bx[a],by[a]].set_title(titles[a])
                    else:
                        if not webapp:
                            plt.plot(px,pz,'gray',linewidth=0.5)

            # i do not know how to add a grid using these version of matplotlib
            tt = 'GNSS-IR results: ' + station.upper() + ' Freq:' + str(f) + ' ' + str(year) + '/' + str(doy)
            aaa, bbb = plt.ylim()
            amax = max(amax,  bbb) # do not know how to implement this ...
            if (a == 3) or (a==1):
                plt.xlabel('reflector height (m)')
        plt.suptitle(tt, fontsize=12)

        rhout.close()
        print('Reflector Height results are stored in a file called logs/rh.txt')
        if webapp:
            fig.savefig('temp.png', format="png")
        else:
            plt.show()
    else: 
        print('some kind of problem with SNR file, so I am exiting the code politely.')
예제 #5
0
def run_rinex2snr(station, year_list, doy_list, isnr, orbtype, rate,dec_rate,archive,fortran,nol):
    """
    runs the rinex 2 snr conversion
    inputs:
    station name 
    year_list list of years to be analyzed
    doy_list list of doy to be analyzed
    isnr = integer file type choice
    orbtype = 3character orbit type
    rate = high or low
    dec_rate = integer for decimation
    archive = allows you to pick a specific archive
    fortran = boolean, whether you use fortran rinex translators
    nol = boolean for nolook, if set to True, then it will assume RINEX files are in local directory
    """

    NS = len(station)
    if (NS == 4):
        print('Assume RINEX 2.11'); version = 2
        station = station.lower()
    elif (NS == 9):
        print('Assume RINEX 3'); version = 3
        station9ch = station.upper()
        station = station[0:4].lower()
    else:
        print('Illegal station input - Station must have 4 or 9 characters. Exiting')
        sys.exit()

# loop thru years and days 
    for year in year_list:
        ann = g.make_nav_dirs(year)
        for doy in doy_list:
            csnr = str(isnr)
            cdoy = '{:03d}'.format(doy) ; cyy = '{:02d}'.format(year-2000)
            # first, check to see if the SNR file exists
            snre = g.snr_exist(station,year,doy,csnr)
            if snre:
                print('snr file for ', station, str(year), cdoy, csnr, ' already exists')
            else:
                r = station + cdoy + '0.' + cyy + 'o'
                rgz = station + cdoy + '0.' + cyy + 'o.gz'
                print(station, year, doy, ': will try to find RINEX /make SNR ')
                if nol:
                    if version == 2:

                        if os.path.exists(r) or os.path.exists(rgz):
                            print('RINEX 2 file exists locally')
                            if not os.path.exists(r):
                                subprocess.call(['gunzip', rgz])
                            conv2snr(year, doy, station, isnr, orbtype,rate,dec_rate,archive,fortran) 
                        else:
                            print('You Chose the No Look Option, but did not provide the needed RINEX file.')
                    if version == 3:
                        r3 = station9ch + '_R_' + str(year) + cdoy + '0000_01D_30S_MO.rnx'
                        r3gz = station9ch + '_R_' + str(year) + cdoy + '0000_01D_30S_MO.rnx.gz'
                        r2 = station + cdoy + '0.' + cyy + 'o'
                        if os.path.exists(r3gz):
                            subprocess.call(['gunzip', r3gz])
                        if os.path.exists(r3):
                            print('RINEX 3 file exists locally')
                            fexists = g.new_rinex3_rinex2(r3,r2)
                            if fexists:
                                print('Rinex 3 to 2 conversion worked, now convert to snr format')
                                conv2snr(year, doy, station, isnr, orbtype,rate,dec_rate,archive,fortran) 
                            else:
                                print('Something about rinex 3-2 conversion did not work')
                        else:
                            print('You Chose the No Look Option, but did not provide the needed RINEX file.')

                else:
                    print('will look for the RINEX file both locally and externally')
                    if version == 3:
                        print('rinex 3 search with orbtype ', orbtype)
                        srate = 30 # rate supported by CDDIS 
                        rinex2exists, rinex3name = g.cddis_rinex3(station9ch, year, doy,srate,orbtype)
                        if not rinex2exists:
                        # try again - unavco has 15 sec I believe
                            srate = 15
                            rinex2exists, rinex3name = g.unavco_rinex3(station9ch, year, doy,srate,orbtype)
                        subprocess.call(['rm', '-f', rinex3name]) # remove rinex3 file
                        if rinex2exists:
                            conv2snr(year, doy, station, isnr, orbtype,rate,dec_rate,archive,fortran) 
                        else:
                            print('rinex file does not exist for ', year, doy)
                    else:
                        print('rinex 2.11 conversion with ', orbtype)
                        conv2snr(year, doy, station, isnr, orbtype,rate,dec_rate,archive,fortran) 

    print('And I guess I am done now!')