tropical cyclone example in python ECC-190

This commit is contained in:
Marijana Crepulja 2015-12-23 15:25:57 +00:00
parent b049f81f84
commit 7a541afa92
1 changed files with 40 additions and 110 deletions

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@ -10,16 +10,10 @@
#
# Description: how to read data of the ECMWF EPS tropical cyclone tracks encoded in BUFR format.
#
# Please note that scatterometer data can be encoded in various ways in BUFR. Therefore the code
# below might not work directly for other types of messages than the one used in the
# example. It is advised to use bufr_dump first to understand the structure of these messages.
#
import traceback
import sys
import collections
#import numpy
from eccodes import *
@ -28,12 +22,13 @@ VERBOSE = 1 # verbose error reporting
data=collections.defaultdict(dict)
def example():
# open bufr file
f = open(INPUT)
cnt = 1
cnt = 0
# loop for the messages in the file
while 1:
@ -42,52 +37,37 @@ def example():
if gid is None:
break
print '**************** MESSAGE: ',cnt,' *****************'
print '**************** MESSAGE: ',cnt+1,' *****************'
# we need to instruct ecCodes to expand all the descriptors
# i.e. unpack the data values
codes_set(gid, 'unpack', 1)
# The BUFR file contains a single message with number of subsets in a compressed form.
# It means each subset has exactly the same structure.
# One subset contains values of latitude, longitude, pressure, wind at 10m
# for one particular ensemble member over forecast period from 0h to 240h by 6h step.
# To print values of latitude, longitude, pressure, wind at 10m for particular ensemble member from all the subsets
# we will simply access the key by condition (see below)
#
# The key latitude will give back the array of all the values corresponding
# to all the instances of the key in the tree.
# The key #2#latitude will return only the values of the second instance in the tree.
numObs=codes_get(gid,"numberOfSubsets")
numObs= codes_get(gid,"numberOfSubsets")
year = codes_get(gid, "year")
month = codes_get(gid, "month")
day = codes_get(gid, "day")
hour = codes_get(gid, "hour")
minute= codes_get(gid, "minute")
#print 'Date and time: %d%s %d%s %d%s %d%s %d' % (day,'.',month,'.',year,' ',hour,':',minute)
print 'Date and time: ', day,'.',month,'.',year,' ',hour,':',minute
stormIdentifier = codes_get(gid,"stormIdentifier")
print 'Storm identifier: ', stormIdentifier
#How many different timePeriod in the data structure?
rankPeriod=0
numberOfPeriods=0
while True:
rankPeriod=rankPeriod+1
numberOfPeriods=numberOfPeriods+1
try:
codes_get_array(gid,"#%d#timePeriod" %rankPeriod)
#period=next(timeStep[i] for i in range (len(timeStep))if timeStep[i] != CODES_MISSING_DOUBLE )
codes_get_array(gid,"#%d#timePeriod" %numberOfPeriods)
except CodesInternalError, err:
#print err.msg
#del(period)
break
#the numberOfPeriods includes the analysis (period=0)
# Get ensembleMemberNumber
memberNumber = codes_get_array(gid, "ensembleMemberNumber")
memberNumberLen=len(memberNumber)
@ -109,72 +89,40 @@ def example():
# Location of storm in perturbed analysis
significance = codes_get(gid,'#2#meteorologicalAttributeSignificance')
latitudeAnalysis = codes_get_array(gid,'#2#latitude')
longitudeAnalysis = codes_get_array(gid,'#2#longitude')
pressureAnalysis = codes_get_array(gid,'#1#pressureReducedToMeanSeaLevel')
if (significance!=4):
print 'ERROR: unexpected #2#meteorologicalAttributeSignificance'
return 1
latitude=[[0 for x in range(rankPeriod)] for x in range(len(memberNumber))]
longitude=[[0 for x in range(rankPeriod)] for x in range(len(memberNumber))]
pressure=[[0 for x in range(rankPeriod)] for x in range(len(memberNumber))]
if (len(latitudeAnalysis)==len(memberNumber)):
for i in range(len(memberNumber)):
latitude[i][0]=latitudeAnalysis[i]
longitude[i][0]=longitudeAnalysis[i]
pressure[i][0]=pressureAnalysis[i]
else:
for i in range(len(memberNumber)):
latitude[i][0]=latitudeAnalysis[0]
longitude[i][0]=longitudeAnalysis[0]
pressure[i][0]=pressureAnalysis[i]
latitudeAnalysis = codes_get_array(gid,'#2#latitude')
longitudeAnalysis = codes_get_array(gid,'#2#longitude')
pressureAnalysis = codes_get_array(gid,'#1#pressureReducedToMeanSeaLevel')
# Location of Maximum Wind
significance=codes_get(gid,'#3#meteorologicalAttributeSignificance')
latitudeMaxWind0=codes_get_array(gid,'#3#latitude')
longitudeMaxWind0= codes_get_array(gid,'#3#longitude')
if (significance!=3):
print 'ERROR: unexpected #3#meteorologicalAttributeSignificance=', significance
return 1
latitudeWind=[[0 for x in range(rankPeriod)] for x in range(len(memberNumber))]
longitudeWind=[[0 for x in range(rankPeriod)] for x in range(len(memberNumber))]
wind=[[0 for x in range(rankPeriod)] for x in range(len(memberNumber))]
latitudeMaxWind0=codes_get_array(gid,'#3#latitude')
longitudeMaxWind0= codes_get_array(gid,'#3#longitude')
windMaxWind0= codes_get_array(gid,'#1#windSpeedAt10M')
if (len(latitudeMaxWind0)==len(memberNumber)):
for i in range(len(memberNumber)):
latitudeWind[i][0]=latitudeMaxWind0[i]
longitudeWind[i][0]=longitudeMaxWind0[i]
wind[i][0]=windMaxWind0[i]
if (len(latitudeAnalysis)==len(memberNumber) and len(latitudeMaxWind0)==len(memberNumber)):
for k in range(len(memberNumber)):
data[k][0]=[latitudeAnalysis[k],longitudeAnalysis[k],pressureAnalysis[k],latitudeMaxWind0[k],longitudeMaxWind0[k],windMaxWind0[k]]
else:
for i in range(len(memberNumber)):
latitudeWind[i][0]=latitudeMaxWind0[0]
longitudeWind[i][0]=longitudeMaxWind0[0]
wind[i][0]=windMaxWind0[i]
for k in range(len(memberNumber)):
data[k][0]=[latitudeAnalysis[0],longitudeAnalysis[0],pressureAnalysis[k],latitudeMaxWind0[0],longitudeMaxWind0[0],windMaxWind0[k]]
rankSignificance=3
rankPosition=3
rankPressure=1
rankWind=1
timePeriod=[0 for x in range(rankPeriod)]
for i in range(1,rankPeriod):
#for i in range(rankPeriod):
timePeriod=[0 for x in range(numberOfPeriods)]
for i in range(1,numberOfPeriods):
rank1 = i * 2 + 2
rank3 = i * 2 + 3
#rank1 = (i+1) * 2 + 2
#rank3 = (i+1)* 2 + 3
ivalues= codes_get_array(gid,"#%d#timePeriod" %(i))
if (len(ivalues)==1):
@ -185,6 +133,7 @@ def example():
timePeriod[i]=ivalues[j]
break
#Location of the storm
values = codes_get_array(gid, "#%d#meteorologicalAttributeSignificance" % rank1)
if (len(values)==1):
significance=values[0]
@ -193,7 +142,7 @@ def example():
if (values[j]!=CODES_MISSING_LONG):
significance=values[j]
break
if(significance==1):
lat = codes_get_array(gid, "#%d#latitude" % rank1)
lon = codes_get_array(gid, "#%d#longitude" % rank1)
@ -201,7 +150,7 @@ def example():
else:
print 'ERROR: unexpected meteorologicalAttributeSignificance=',significance
#Location of maximum wind
values = codes_get_array(gid, "#%d#meteorologicalAttributeSignificance" % rank3)
if (len(values)==1):
significanceWind=values[0]
@ -212,54 +161,35 @@ def example():
break
if(significanceWind==3):
lat3 = codes_get_array(gid, "#%d#latitude" % rank3)
lon3 = codes_get_array(gid, "#%d#longitude" % rank3)
wind3 = codes_get_array(gid, "#%d#windSpeedAt10M" % (i + 1))
latWind = codes_get_array(gid, "#%d#latitude" % rank3)
lonWind = codes_get_array(gid, "#%d#longitude" % rank3)
wind10m = codes_get_array(gid, "#%d#windSpeedAt10M" % (i + 1))
else:
print 'ERROR: unexpected meteorologicalAttributeSignificance=',significanceWind
#for k in range(1,len(memberNumber)):
for k in range(len(memberNumber)):
data[k][i]=[lat[k],lon[k],press[k],lat3[k],lon3[k],wind3[k]]
data[k][i]=[lat[k],lon[k],press[k],latWind[k],lonWind[k],wind10m[k]]
if(cnt==2):
print 'majaaa', i,timePeriod[s]
# ---- Print the values --------------------------------
# ---------------------------------------- Print the values -----------------------------------------------
for m in sorted( data.keys()):
print "== Member %d"%(m+1)
for m in range(len(memberNumber)):
print "== Member %d" %memberNumber[m]
print "step latitude longitude pressure latitude longitude wind"
#print " {:<3d}{:2.2f}{:2.2f}{}{} {} ".format(timePeriod[0],latitude[m][0],longitude[m][0],pressure[m][0],latitudeWind[m][0],longitudeWind[i][0],wind[i][0])
if latitude[m][0]!=CODES_MISSING_DOUBLE:
print timePeriod[0],latitude[m][0],longitude[m][0],pressure[m][0],
#print " {:>3d}{}{:>6.1f}{}{:>6.1f}{}{:>8.1f}{}{:>6.1f}{}{:>6.1f}{}{:>6.1f}".format(\
# timePeriod[0],' ',latitude[m][0],' ',longitude[m][0],' ',pressure[m][0],' ',latitudeWind[m][0],' ',longitudeWind[m][0],' ',wind[m][0])
for s in sorted( data[m].keys()):
if data[m][s][0]!=CODES_MISSING_DOUBLE:
print 'maja',s
#print " {:>3d}{}{:>6.1f}{}{:>6.1f}{}{:>8.1f}{}{:>6.1f}{}{:>6.1f}{}{:>6.1f}".format(\
# timePeriod[s],' ',data[m][s][0],' ',data[m][s][1],' ',data[m][s][2],' ',data[m][s][3],' ',data[m][s][4],' ',data[m][s][5])
#print "%d %.6g %.6g"%(timePeriod[s],data[m][s][0],data[m][s][1])
for s in range(len(timePeriod)):
if data[m][s][0]!=CODES_MISSING_DOUBLE and data[m][s][1]!=CODES_MISSING_DOUBLE:
print " {:>3d}{}{:>6.1f}{}{:>6.1f}{}{:>8.1f}{}{:>6.1f}{}{:>6.1f}{}{:>6.1f}".format(\
timePeriod[s],' ',data[m][s][0],' ',data[m][s][1],' ',data[m][s][2],' ',
data[m][s][3],' ',data[m][s][4],' ',data[m][s][5])
# ---------------------------------------------------------------------------------------------------------
cnt += 1
# release the BUFR message
codes_release(gid)
cnt += 1
print 'majaaaaaaaaaaa',cnt
#del(timePeriod)
#del(latitude)
#del(longitude)
#del(pressure)
#del(latitudeWind)
#del(longitudeWind)
#del(wind)
#del(data)
# close the file
# close the file
f.close()