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added absolute and relative thresholds for IVT detection #3

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added absolute and relative thresholds for IVT detection #3

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57 changes: 35 additions & 22 deletions Tracking_Functions.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2300,32 +2300,41 @@ def ar_850hpa_tracking(




def ar_ivt_tracking(IVT,
IVTtrheshold,
IVTthresholdAbs,
IVTthresholdRel,
MinTimeIVT,
dT,
connectLon):
connectLon,
Time):

potIVTs = (IVT > IVTthresholdAbs)

if IVTthresholdRel is not None:
for tt in range(len(Time)):
month = Time[tt].month

potIVTs = (IVT > IVTtrheshold)
rgiObj_Struct=np.zeros((3,3,3)); rgiObj_Struct[:,:,:]=1
rgiObjectsIVT, nr_objectsUD = ndimage.label(potIVTs, structure=rgiObj_Struct)
print(' '+str(nr_objectsUD)+' object found')
potIVTs[tt, :, :] = (IVT[tt, :, :] > IVTthresholdRel[month - 1, :, :]) & ( IVT[tt, :, :] > IVTthresholdAbs)
rgiObj_Struct=np.zeros((3,3,3)); rgiObj_Struct[:,:,:]=1
rgiObjectsIVT, nr_objectsUD = ndimage.label(potIVTs, structure=rgiObj_Struct)
print(' '+str(nr_objectsUD)+' object found')

IVT_objects, _ = clean_up_objects(rgiObjectsIVT,
dT,
min_tsteps=int(MinTimeIVT/dT))
IVT_objects, _ = clean_up_objects(rgiObjectsIVT,
dT,
min_tsteps=int(MinTimeIVT/dT))

print(' break up long living IVT objects that have many elements')
IVT_objects, object_split = BreakupObjects(IVT_objects,
int(MinTimeIVT/dT),
dT)
print(' break up long living IVT objects that have many elements')
IVT_objects, object_split = BreakupObjects(IVT_objects,
int(MinTimeIVT/dT),
dT)

if connectLon == 1:
print(' connect IVT objects over date line')
IVT_objects = ConnectLon_on_timestep(IVT_objects)
if connectLon == 1:
print(' connect IVT objects over date line')
IVT_objects = ConnectLon_on_timestep(IVT_objects)

return IVT_objects

return IVT_objects



def ar_check(objects_mask,
Expand Down Expand Up @@ -3609,7 +3618,9 @@ def moaap(
MinTimeC = 4, # mimimum livetime of ice cloud shields [hours]
MinAreaC = 40000, # mimimum area of ice cloud shields [km2]
# AR tracking
IVTtrheshold = 500, # Integrated water vapor transport threshold for AR detection [kg m-1 s-1]
IVTtrhesholdAbs = 500, # Absolute Integrated water vapor transport threshold for AR detection [kg m-1 s-1]
IVTtrhesholdRel = None, # Monthly and Grid point based relative Integrated water vapor transport threshold for AR detection [kg m-1 s-1], e.g. computed via percentiles. Can be used in addition to absolute threshold.
#Should be an array of shape (12, lat.size,lon.size), where e.g. [0,:,:] denotes the threshold field for January.
MinTimeIVT = 9, # minimum livetime of ARs [hours]
AR_MinLen = 2000, # mimimum length of an AR [km]
AR_Lat = 20, # AR centroids have to be poeward of this latitude
Expand Down Expand Up @@ -3921,10 +3932,11 @@ def moaap(
IVT = (ivte ** 2 + ivtn ** 2) ** 0.5

IVT_objects = ar_ivt_tracking(IVT,
IVTtrheshold,
IVTtrhesholdAbs,
IVTtrhesholdRel,
MinTimeIVT,
dT,
connectLon)
connectLon,Time)

grIVTs = calc_object_characteristics(IVT_objects, # feature object file
IVT, # original file used for feature detection
Expand Down Expand Up @@ -4230,6 +4242,7 @@ def moaap(
# Write NetCDF
iTime = np.array((Time - Time[0]).total_seconds()).astype('int')


dataset = Dataset(NCfile,'w',format='NETCDF4_CLASSIC')
yc = dataset.createDimension('yc', Lat.shape[0])
xc = dataset.createDimension('xc', Lat.shape[1])
Expand Down Expand Up @@ -4476,4 +4489,4 @@ def moaap(
return object_split
else:
object_split = None
return object_split
return object_split