def run_LSP(vals,x):
print obs_refs[x]
#check obs vals are valid
valid = vals >= 0
vals = vals[valid]
valid_times = obs_ref_time[valid]
#full_times = modules.date_process(obs_dates,obs_times,start_year)
full_times_year = obs_ref_time[:8766]
full_times_day = obs_ref_time[:24]
#make time start from 0
valid_times_from0 = modules.phase_start_correct(valid_times)
samp_step = 1./24
f = interpolate.interp1d(valid_times_from0, vals)
valid_times_from0 = np.arange(np.min(valid_times_from0),np.max(valid_times_from0),samp_step)
vals = f(valid_times_from0)
site_lon = obs_lons[x]
#convert site_lon to 0 to 360 degs
if site_lon < 0:
site_lon = 360-np.abs(site_lon)
#transform from UTC time to solar time
sun_time = lon_step_time*site_lon
time_diff = sun_time - 0
if time_diff > 12:
time_diff = time_diff-24
#take obs lsp
ofac = 1
periodic_periods = [1./10.,1./9.,1./8.,1./7.,1./6.,1./5.,1./4.,1./3.,1./2.,1.,365.25/4.,365.25/3.,365.25/2.,365.25]
#periods,mag,ph,fr,fi,amp_corr = modules.take_lomb(valid_times_from0,vals,ofac,samp_step,w=True,kp=periodic_periods)
periods,mag,ph,fr,fi,fft_array,amp_corr = modules.take_fft(valid_times_from0,vals,ofac,samp_step,w=True,kp=periodic_periods)
#convert mag to normalised psd
psd_mag = mag**2
freq = 1./periods
diff = freq[1] - freq[0]
psd_mag = psd_mag/diff
#get info of weather regimes through model fit.
grad1,grad2,bp1,line1_periods,line1_mag,line2_periods,line2_mag,ave1,ave2,med1,med2,sum1,sum2,line1_s,line1_e,line2_s,line2_e = modules.spectra_fit_fixed_piecewise(periods,psd_mag,ofac,3.0,100.0,10.0)
#get mean of values
mean_array = np.average(vals)
#correct all phases for start point (not actually being from 0 - just corrected to be)
ph = modules.phase_start_point_correct_all(periods,ph,valid_times)
#convert phase to time(days)
ph = modules.convert_phase_units_actual_all(ph,periods)
return (x,periods,psd_mag,ph,grad1,grad2,bp1,line1_periods,line1_mag,line2_periods,line2_mag,ave1,ave2,med1,med2,sum1,sum2,line1_s,line1_e,line2_s,line2_e)
def run_LSP(vals,x):
lat_i = lat_indices[x]
lon_i = lon_indices[x]
print lat_i,lon_i
current_lat = lat_c[lat_i]
current_lon = lon_c[lon_i]
site_lon = lon_c[lon_i]
valid = vals >= 0
vals = vals[valid]
valid_times = model_ref_time[valid]
full_times_year = model_ref_time[:8766]
full_times_day = model_ref_time[:24]
#convert site_lon to 0 to 360 degs
if site_lon < 0:
site_lon = 360-np.abs(site_lon)
#transform from UTC time to solar time
sun_time = lon_step_time*site_lon
time_diff = sun_time - 0
if time_diff > 12:
time_diff = time_diff-24
#make time start from 0
valid_times_from0 = modules.phase_start_correct(valid_times)
ofac = 1
samp_step = 1./24
periodic_periods = [1./10.,1./9.,1./8.,1./7.,1./6.,1./5.,1./4.,1./3.,1./2.,1.,365.25/4.,365.25/3.,365.25/2.,365.25]
#periods,mag,ph,fr,fi,amp_corr = modules.take_lomb(valid_times_from0,vals,ofac,samp_step,w=True,kp=periodic_periods)
periods,mag,ph,fr,fi,fft_array,amp_corr = modules.take_fft(valid_times_from0,vals,ofac,samp_step,w=True,kp=periodic_periods)
#convert mag to normalised psd
psd_mag = mag**2
freq = 1./periods
diff = freq[1] - freq[0]
psd_mag = psd_mag/diff
#get info of weather regimes through model fit.
grad1,grad2,bp1,line1_periods,line1_mag,line2_periods,line2_mag,ave1,ave2,med1,med2,sum1,sum2,line1_s,line1_e,line2_s,line2_e = modules.spectra_fit_fixed_piecewise(periods,psd_mag,ofac,3.0,100.0,10.0)
#get mean of values
mean_array = np.average(vals)
#correct all phases for start point (not actually being from 0 - just corrected to be)
ph = modules.phase_start_point_correct_all(periods,ph,valid_times)
#convert phase to time(days)
ph = modules.convert_phase_units_actual_all(ph,periods)
return (x,periods,psd_mag,ph,grad1,grad2,bp1,line1_periods,line1_mag,line2_periods,line2_mag,ave1,ave2,med1,med2,sum1,sum2,line1_s,line1_e,line2_s,line2_e)
def run_LSP(vals,x):
lat_i = lat_indices[x]
lon_i = lon_indices[x]
print lat_i,lon_i
current_lat = lat_c[lat_i]
current_lon = lon_c[lon_i]
site_lon = lon_c[lon_i]
#check model vals are valid
valid = vals >= 0
vals = vals[valid]
valid_times = model_ref_time[valid]
full_times_year = model_ref_time[:8766]
full_times_day = model_ref_time[:24]
#convert site_lon to 0 to 360 degs
if site_lon < 0:
site_lon = 360-np.abs(site_lon)
#transform from UTC time to solar time
sun_time = lon_step_time*site_lon
time_diff = sun_time - 0
if time_diff > 12:
time_diff = time_diff-24
#make time start from 0
valid_times_from0 = modules.phase_start_correct(valid_times)
ofac = 4
samp_step = 1./24
periods,mag,ph,fr,fi,amp_corr = modules.take_lomb(valid_times_from0,vals,ofac,samp_step,w=True,kp=[1./4.,1./3.,1./2.,1.,365.25/4.,365.25/3.,365.25/2.,365.25])
#get info of weather regimes through model fit.
grad1,grad2,grad3,bp1,bp2,bp_periods,bp_mag = modules.spectra_fit(periods,mag,ofac)
#get mean of values
mean_array = np.average(vals)
#correct all phases for start point
ph = modules.phase_start_point_correct_all(periods,ph,valid_times)
#convert phase to time(days)
ph = modules.convert_phase_units_actual_all(ph,periods)
return (x,periods,mag,ph,grad1,grad2,grad3,bp1,bp2,bp_mag)
