diff --git a/modules/util/sss1day_FMB_py3.py b/modules/util/sss1day_FMB_py3.py
new file mode 100644
index 0000000000000000000000000000000000000000..fa1525520f6b7c34a93a5f7e56cf02da901f21a5
--- /dev/null
+++ b/modules/util/sss1day_FMB_py3.py
@@ -0,0 +1,314 @@
+import os
+
+# Import CODA definitions
+ # Older dates
+# os.putenv('CODA_DEFINITION', '/home/huiliu/CODA/share/coda/definitions/')
+# os.putenv('CODA_DEFINITION', '/home/stevew/CODA/share/coda/definitions/')
+os.putenv('CODA_DEFINITION', '/data/Personal/stevew/AEOLUS/CODA/share/coda/definitions/')
+ # Newer dates
+#os.putenv('CODA_DEFINITION', '/home/huiliu/CODA/share/coda/definitions/AEOLUS-20190611.codadef')
+
+from numpy import vstack, zeros, linspace, where
+
+import sys
+# Tell python scripts where to find CODA (next import coda) --------
+# sys.path.append('/home/huiliu/CODA/lib/python2.7/site-packages')
+# sys.path.append('/home/stevew/CODA/lib/python2.7/site-packages')
+sys.path.append('/data/Personal/stevew/AEOLUS/CODA/lib/python3.7/site-packages')
+import coda
+
+import matplotlib.pyplot as plt
+import glob, ast, datetime
+
+files = open('flist_adm.txt').read().split()
+print(files)
+
+nfile = len(files)
+allobs = 0
+ntot = 0
+ntotm = 0
+wind_err_thresh = 50
+
+f66=open('./ray1day.out', 'w+')
+f60=open('./mie1day.out', 'w+')
+
+# ------- loop over data files ------
+
+for n, filename in enumerate(files):
+ print('Reading file: %s' %filename)
+
+ product = coda.open(filename)
+
+### ------- Mie wind profile ---------
+### ------- Mie wind profile ---------
+
+# print("Individual Mie HLOS wind points")
+# latitude = coda.fetch(product, 'mie_geolocation',-1, 'windresult_geolocation/latitude_cog')
+# longitude = coda.fetch(product, 'mie_geolocation',-1, 'windresult_geolocation/longitude_cog')
+# mie_alt in (m)
+ mie_alt0 = coda.fetch(product, 'mie_geolocation',-1, 'windresult_geolocation/altitude_vcog')
+ mie_altt = coda.fetch(product, 'mie_geolocation',-1, 'windresult_geolocation/altitude_top')
+ mie_altb = coda.fetch(product, 'mie_geolocation',-1, 'windresult_geolocation/altitude_bottom')
+ mie_azimuth0 = coda.fetch(product, 'mie_geolocation',-1, 'windresult_geolocation/los_azimuth')
+
+ mie_length0 = coda.fetch(product, 'mie_hloswind',-1, 'windresult/integration_length')
+ mie_valid0 = coda.fetch(product, 'mie_hloswind',-1, 'windresult/validity_flag')
+ mie_wind0 = coda.fetch(product, 'mie_hloswind',-1, 'windresult/mie_wind_velocity')
+
+ #klukens
+# mie_pppp0 = coda.fetch(product, 'mie_hloswind',-1, 'windresult/reference_pressure')
+# mie_pppp0 = coda.get_field_names(product,'mie_geolocation[0]/windresult_geolocation')
+# mie_pppp0 = coda.get_field_names(product,'mie_hloswind[0]/windresult')
+# print "mie_pppp0 fetch all = ",mie_pppp0
+
+ mie_err0 = coda.fetch(product, 'mie_wind_prod_conf_data',-1, 'mie_wind_qc/hlos_error_estimate')
+# mie_snr0 = coda.fetch(product, 'mie_wind_prod_conf_data',-1, 'mie_wind_qc/mie_snr')
+
+# ------- Rayleigh profiles ---------
+# ------- Rayleigh profiles ---------
+
+# print("Individual Rayleight HLOS wind points")
+ rayleigh_azimuth0 = coda.fetch(product, 'rayleigh_geolocation',-1, 'windresult_geolocation/los_azimuth')
+
+# latitude = coda.fetch(product, 'rayleigh_geolocation',-1, 'windresult_geolocation/latitude_cog')
+# longitude = coda.fetch(product, 'rayleigh_geolocation',-1, 'windresult_geolocation/longitude_cog')
+
+ rayleigh_alt0 = coda.fetch(product, 'rayleigh_geolocation',-1, 'windresult_geolocation/altitude_vcog')
+ rayleigh_altt = coda.fetch(product, 'rayleigh_geolocation',-1, 'windresult_geolocation/altitude_top')
+ rayleigh_altb = coda.fetch(product, 'rayleigh_geolocation',-1, 'windresult_geolocation/altitude_bottom')
+
+ rayleigh_wind0 = coda.fetch(product, 'rayleigh_hloswind',-1, 'windresult/rayleigh_wind_velocity')
+
+# ----- rayleigh data is from top (26.5km) --> bottom (24 levels) ---------
+# wind_err in (m/s)
+
+ rayleigh_err0 = coda.fetch(product, 'rayleigh_wind_prod_conf_data',-1, 'rayleigh_wind_qc/hlos_error_estimate')
+ rayleigh_sratio0 = coda.fetch(product, 'rayleigh_wind_prod_conf_data',-1, 'rayleigh_wind_qc/scattering_ratio')
+ rayleigh_wind_to_T = coda.fetch(product, 'rayleigh_hloswind',-1, 'windresult/rayleigh_wind_to_temperature')
+ rayleigh_wind_to_P = coda.fetch(product, 'rayleigh_hloswind',-1, 'windresult/rayleigh_wind_to_pressure')
+
+ rayleigh_temp = coda.fetch(product, 'rayleigh_hloswind',-1, 'windresult/reference_temperature')
+ rayleigh_pppp = coda.fetch(product, 'rayleigh_hloswind',-1, 'windresult/reference_pressure')
+
+ ray_length0 = coda.fetch(product, 'rayleigh_hloswind',-1, 'windresult/integration_length')
+ rayleigh_valid0 = coda.fetch(product, 'rayleigh_hloswind',-1, 'windresult/validity_flag')
+# print(rayleigh_wind0.shape)
+
+
+#=================================================
+## ---------- Mie profile information ------------
+#=================================================
+ print("Mie HLOS wind profiles")
+
+ rid = coda.fetch(product, 'mie_profile',-1, 'l2b_wind_profiles/wind_result_id_number')
+ rid = vstack(rid)
+# print(rid.shape)
+
+ typ_id = coda.fetch(product, 'mie_profile',-1, 'l2b_wind_profiles/Obs_Type')
+
+ nprofm = rid.shape[0]
+ nlevm = rid.shape[1]
+
+# ----------------- the data is from top --> bottom -------------
+# NOTE: i = 0 - nprof-1 in the xrange FUNTION of PYTHON
+#-----------------------------------------------------------------
+
+ mie_azimuth = zeros(rid.shape)
+ mie_err = zeros(rid.shape)
+ mie_hhh = zeros(rid.shape)
+ mie_hht = zeros(rid.shape)
+ mie_hhb = zeros(rid.shape)
+ mie_wind = zeros(rid.shape)
+# mie_pppp = zeros(rid.shape) #klukens
+ mie_valid = zeros(rid.shape)
+ mie_length = zeros(rid.shape)
+ mie_sratio = zeros(rid.shape)
+# mie_snr = zeros(rid.shape)
+
+# wind m/s,
+
+ mie_wind[rid !=0] = mie_wind0[rid[rid !=0]-1]*0.01
+ mie_azimuth[rid !=0] = mie_azimuth0[rid[rid !=0]-1]*1.0
+
+ mie_valid[rid !=0] = mie_valid0[rid[rid !=0]-1]
+# length in km output
+ mie_length[rid !=0] = mie_length0[rid[rid !=0]-1]*0.001
+
+# mie_pppp[rid !=0] = mie_pppp0[rid[rid !=0]-1]*0.01 #klukens
+
+# wind error m/s
+ mie_err[rid !=0] = mie_err0[rid[rid !=0]-1]*1.0
+# mie_snr [rid !=0] = mie_snr0 [rid[rid !=0]-1]*1.0
+
+# height in (km)
+# add 250m shift to the height for this version of L2B data
+ mie_hhh[rid !=0] = mie_alt0[rid[rid !=0]-1] *0.001+0.25
+
+ mie_hht[rid !=0] = mie_altt[rid[rid !=0]-1] *0.001 +0.25
+ mie_hhb[rid !=0] = mie_altb[rid[rid !=0]-1] *0.001 +0.25
+
+ latrid = coda.fetch(product, 'mie_profile',-1, 'Profile_lat_average')
+ lonrid = coda.fetch(product, 'mie_profile',-1, 'Profile_lon_average')
+ sstime = coda.fetch(product, 'mie_profile',-1, 'Profile_DateTime_Average')
+
+ for i in range(nprofm):
+ timestep = datetime.datetime(2000, 1, 1)+datetime.timedelta(seconds=sstime[i])
+ yyyy = timestep.strftime('%Y')
+ mm = timestep.strftime('%m')
+ dd = timestep.strftime('%d')
+ hh = timestep.strftime('%H')
+ min = timestep.strftime('%M')
+ sec = timestep.strftime('%S') #klukens
+
+ totlevs = 0
+ for m in range(nlevm):
+ if rid[i, m] > 0:
+ if mie_err[i,m] < wind_err_thresh:
+ if mie_valid[i,m] > 0.0:
+ totlevs = totlevs + 1
+
+ ntotm = ntotm + 1
+
+# profile number from 0 --> nprofm
+# ------------------------------------------------------
+# f60=open('./test/mie.dat.'+ str(ntotm).zfill(5), 'w+')
+# ------------------------------------------------------
+ if totlevs > 0:
+ if typ_id[i] == 1:
+# cloudy type Mie winds
+
+ # print >>f60, yyyy, mm, dd, hh, min, sec, '%7.2f %7.2f %2i' %(float(lonrid[i]), float(latrid[i]), int(totlevs))
+ print(yyyy, mm, dd, hh, min, sec, '%7.2f %7.2f %2i' %(float(lonrid[i]), float(latrid[i]), int(totlevs)), file=f60)
+
+ for m in range(nlevm):
+# keep consistent with the lines of totlevs above !!!
+ if rid[i, m] > 0:
+ if mie_err[i,m] < wind_err_thresh:
+ if mie_valid[i,m] > 0.0:
+ # print >>f60, '%2i %7.2f %7.2f %7.2f %7.2f %7.2f %7.2f %7.2f' %(int(m+1), \
+ # mie_hhh[i,m], mie_hht[i,m], mie_hhb[i,m], mie_err[i,m], \
+ # mie_azimuth[i,m], mie_wind[i,m], mie_length[i,m])
+ print('%2i %7.2f %7.2f %7.2f %7.2f %7.2f %7.2f %7.2f' %(int(m+1),
+ mie_hhh[i,m], mie_hht[i,m], mie_hhb[i,m], mie_err[i,m],
+ mie_azimuth[i,m], mie_wind[i,m], mie_length[i,m]), file=f60)
+
+
+# -----------------------------------------------
+# Rayleigh profile information
+# -----------------------------------------------
+
+ print("Rayleigh HLOS wind profiles")
+ rid = coda.fetch(product, 'rayleigh_profile',-1, 'l2b_wind_profiles/wind_result_id_number')
+ rid = vstack(rid)
+
+#==========================================
+# tpye =1, cloudy, =2 clear
+#==========================================
+ typ_id = coda.fetch(product, 'rayleigh_profile',-1, 'l2b_wind_profiles/Obs_Type')
+
+# profile number of Rayleigh winds profiles in this orbit
+ nprof = rid.shape[0]
+ nlev = rid.shape[1]
+# print(rid.shape)
+
+# ----------------- the data is from top --> bottom -------------
+# NOTE: i = 0 - nprof-1 in the xrange FUNTION of PYTHON
+#-----------------------------------------------------------------
+
+ ray_azimuth = zeros(rid.shape)
+ ray_err = zeros(rid.shape)
+ wind_sens_T = zeros(rid.shape)
+ wind_sens_P = zeros(rid.shape)
+ ray_length = zeros(rid.shape)
+ ray_valid = zeros(rid.shape)
+ ref_temp = zeros(rid.shape)
+ ref_pppp = zeros(rid.shape)
+ ray_hhh = zeros(rid.shape)
+ ray_hht = zeros(rid.shape)
+ ray_hhb = zeros(rid.shape)
+ ray_wind = zeros(rid.shape)
+ ray_sratio = zeros(rid.shape)
+
+
+ ray_wind[rid !=0] = rayleigh_wind0[rid[rid !=0]-1]*0.01
+ ray_azimuth[rid !=0] = rayleigh_azimuth0[rid[rid !=0]-1]*1.0
+ ray_sratio [rid !=0] = rayleigh_sratio0[rid[rid !=0]-1]*1.0
+
+# print(rayleigh_wind0.shape)
+# print(rid.shape)
+# print(rid)
+# from 2D OBS fortran index rid (1-nnn), to index 0-(nnn-1) of 1D mie_wind0
+#
+
+# wind error m/s
+ ray_err[rid !=0] = rayleigh_err0[rid[rid !=0]-1]*1.0
+
+# m/s/K
+ wind_sens_T[rid !=0] = rayleigh_wind_to_T[rid[rid !=0]-1]*0.01
+# K
+ ref_temp[rid !=0] = rayleigh_temp[rid[rid !=0]-1]
+ ref_pppp[rid !=0] = rayleigh_pppp[rid[rid !=0]-1]*0.01
+
+# cm/s/hPa
+ wind_sens_P[rid !=0] = rayleigh_wind_to_P[rid[rid !=0]-1] *1.0e-4
+ ray_length[rid !=0] = ray_length0[rid[rid !=0]-1] *0.001
+ ray_valid[rid !=0] = rayleigh_valid0[rid[rid !=0]-1]
+
+# height in (km)
+# add 250m shift to the height for this version of L2B data
+ ray_hhh[rid !=0] = rayleigh_alt0[rid[rid !=0]-1] *0.001 +0.25
+ ray_hht[rid !=0] = rayleigh_altt[rid[rid !=0]-1] *0.001 +0.25
+ ray_hhb[rid !=0] = rayleigh_altb[rid[rid !=0]-1] *0.001 +0.25
+
+ latrid =coda.fetch(product, 'rayleigh_profile',-1, 'Profile_lat_average')
+ lonrid =coda.fetch(product, 'rayleigh_profile',-1, 'Profile_lon_average')
+ sstime =coda.fetch(product, 'rayleigh_profile',-1, 'Profile_DateTime_Average')
+
+ for i in range(nprof):
+ timestep = datetime.datetime(2000, 1, 1) + datetime.timedelta(seconds=sstime[i])
+ yyyy = timestep.strftime('%Y')
+ mm = timestep.strftime('%m')
+ dd = timestep.strftime('%d')
+ hh = timestep.strftime('%H')
+ min = timestep.strftime('%M')
+ sec = timestep.strftime('%S') #klukens
+
+ ntot = ntot + 1
+# print >>f4, str(rid[i, :])
+
+ totlevs = 0
+ for m in range(nlev):
+ if rid[i, m] > 0:
+ if ray_err[i,m] < wind_err_thresh:
+ if ray_valid[i, m] > 0.0:
+ totlevs = totlevs + 1
+
+# profile number from 0 --> nprof
+# f66=open('./test/ray.dat.'+ str(ntot).zfill(5), 'w+')
+# for clear sky Rayleigh winds ----------
+ if totlevs > 0:
+ if typ_id[i] == 2:
+
+ # print >>f66, yyyy, mm, dd, hh, min, sec, '%7.2f %7.2f %2i' %(float(lonrid[i]), float(latrid[i]), int(totlevs))
+ print(yyyy, mm, dd, hh, min, sec, '%7.2f %7.2f %2i' %(float(lonrid[i]), float(latrid[i]), int(totlevs)), file=f66)
+
+ for m in range(nlev):
+# keep consistent with the lines of totlevs above !!!
+ if rid[i, m] > 0:
+ if ray_err[i,m] < wind_err_thresh:
+ if ray_valid[i, m] > 0.0:
+ # print >>f66, '%2i %7.2f %7.2f %7.2f %7.2f %7.2f %7.2f %7.2f %7.2f %7.2f %7.2f %7.2f %7.2f' \
+ # %(int(m+1), ray_hhh[i,m], ray_hht[i,m], ray_hhb[i,m],\
+ # ray_err[i,m], ray_azimuth[i,m], ray_wind[i,m],\
+ # ref_temp[i,m]*0.01, ref_pppp[i,m], wind_sens_T[i,m],\
+ # wind_sens_P[i,m], ray_sratio [i,m], ray_length[i,m])
+ print('%2i %7.2f %7.2f %7.2f %7.2f %7.2f %7.2f %7.2f %7.2f %7.2f %7.2f %7.2f %7.2f'
+ %(int(m+1), ray_hhh[i,m], ray_hht[i,m], ray_hhb[i,m],
+ ray_err[i,m], ray_azimuth[i,m], ray_wind[i,m],
+ ref_temp[i,m]*0.01, ref_pppp[i,m], wind_sens_T[i,m],
+ wind_sens_P[i,m], ray_sratio [i,m], ray_length[i,m]), file=f66)
+
+ coda.close(product)
+
+print('Finished data. Processed, file loop')
+exit()