mirror of https://github.com/ecmwf/eccodes.git
tc in python ECC-190
This commit is contained in:
Marijana Crepulja
parent
29f6994b6a
commit
981845c12c
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@ -300,3 +300,6 @@ data/bufr/set_unexpandedDescriptors.filter
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*.sublime-workspace
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*.sublime-workspace
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*.old
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*.old
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examples/python/1
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examples/python/Testing/
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@ -49,6 +49,7 @@ list( APPEND tests
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bufr_keys_iterator
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bufr_keys_iterator
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bufr_read_header
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bufr_read_header
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bufr_read_scatterometer
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bufr_read_scatterometer
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#bufr_read_tropical_cyclone
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bufr_read_synop
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bufr_read_synop
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bufr_read_temp
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bufr_read_temp
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bufr_set_keys
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bufr_set_keys
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@ -0,0 +1,278 @@
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# Copyright 2005-2015 ECMWF.
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#
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# This software is licensed under the terms of the Apache Licence Version 2.0
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# which can be obtained at http://www.apache.org/licenses/LICENSE-2.0.
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#
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# In applying this licence, ECMWF does not waive the privileges and immunities granted to it by
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# virtue of its status as an intergovernmental organisation nor does it submit to any jurisdiction.
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#
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# Python implementation: bufr_read_tropical_cyclone
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#
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# Description: how to read data of the ECMWF EPS tropical cyclone tracks encoded in BUFR format.
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#
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# Please note that scatterometer data can be encoded in various ways in BUFR. Therefore the code
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# below might not work directly for other types of messages than the one used in the
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# example. It is advised to use bufr_dump first to understand the structure of these messages.
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#
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import traceback
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import sys
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import collections
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#import numpy
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from eccodes import *
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INPUT = '../../data/bufr/tropical_cyclone.bufr'
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VERBOSE = 1 # verbose error reporting
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data=collections.defaultdict(dict)
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def example():
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# open bufr file
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f = open(INPUT)
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cnt = 1
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# loop for the messages in the file
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while 1:
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# get handle for message
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gid = codes_bufr_new_from_file(f)
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if gid is None:
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break
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print '**************** MESSAGE: ',cnt,' *****************'
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# we need to instruct ecCodes to expand all the descriptors
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# i.e. unpack the data values
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codes_set(gid, 'unpack', 1)
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# The BUFR file contains a single message with number of subsets in a compressed form.
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# It means each subset has exactly the same structure.
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# One subset contains values of latitude, longitude, pressure, wind at 10m
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# for one particular ensemble member over forecast period from 0h to 240h by 6h step.
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# To print values of latitude, longitude, pressure, wind at 10m for particular ensemble member from all the subsets
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# we will simply access the key by condition (see below)
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#
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# The key latitude will give back the array of all the values corresponding
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# to all the instances of the key in the tree.
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# The key #2#latitude will return only the values of the second instance in the tree.
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numObs=codes_get(gid,"numberOfSubsets")
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year = codes_get(gid, "year")
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month = codes_get(gid, "month")
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day = codes_get(gid, "day")
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hour = codes_get(gid, "hour")
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minute= codes_get(gid, "minute")
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#print 'Date and time: %d%s %d%s %d%s %d%s %d' % (day,'.',month,'.',year,' ',hour,':',minute)
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print 'Date and time: ', day,'.',month,'.',year,' ',hour,':',minute
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stormIdentifier = codes_get(gid,"stormIdentifier")
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print 'Storm identifier: ', stormIdentifier
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#How many different timePeriod in the data structure?
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rankPeriod=0
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while True:
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rankPeriod=rankPeriod+1
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try:
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codes_get_array(gid,"#%d#timePeriod" %rankPeriod)
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#period=next(timeStep[i] for i in range (len(timeStep))if timeStep[i] != CODES_MISSING_DOUBLE )
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except CodesInternalError, err:
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#print err.msg
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#del(period)
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break
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#the numberOfPeriods includes the analysis (period=0)
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# Get ensembleMemberNumber
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memberNumber = codes_get_array(gid, "ensembleMemberNumber")
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memberNumberLen=len(memberNumber)
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# Observed Storm Centre
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significance = codes_get(gid,'#1#meteorologicalAttributeSignificance')
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latitudeCentre = codes_get(gid,'#1#latitude')
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longitudeCentre = codes_get(gid,'#1#longitude')
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if (significance!=1):
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print 'ERROR: unexpected #1#meteorologicalAttributeSignificance'
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return 1
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if (latitudeCentre==CODES_MISSING_DOUBLE) and (longitudeCentre==CODES_MISSING_DOUBLE):
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print 'Observed storm centre position missing'
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else:
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print 'Observed storm centre: latitude=',latitudeCentre,' longitude=',longitudeCentre
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# Location of storm in perturbed analysis
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significance = codes_get(gid,'#2#meteorologicalAttributeSignificance')
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latitudeAnalysis = codes_get_array(gid,'#2#latitude')
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longitudeAnalysis = codes_get_array(gid,'#2#longitude')
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pressureAnalysis = codes_get_array(gid,'#1#pressureReducedToMeanSeaLevel')
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if (significance!=4):
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print 'ERROR: unexpected #2#meteorologicalAttributeSignificance'
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return 1
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latitude=[[0 for x in range(rankPeriod)] for x in range(len(memberNumber))]
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longitude=[[0 for x in range(rankPeriod)] for x in range(len(memberNumber))]
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pressure=[[0 for x in range(rankPeriod)] for x in range(len(memberNumber))]
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if (len(latitudeAnalysis)==len(memberNumber)):
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for i in range(len(memberNumber)):
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latitude[i][0]=latitudeAnalysis[i]
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longitude[i][0]=longitudeAnalysis[i]
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pressure[i][0]=pressureAnalysis[i]
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else:
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for i in range(len(memberNumber)):
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latitude[i][0]=latitudeAnalysis[0]
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longitude[i][0]=longitudeAnalysis[0]
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pressure[i][0]=pressureAnalysis[i]
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# Location of Maximum Wind
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significance=codes_get(gid,'#3#meteorologicalAttributeSignificance')
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latitudeMaxWind0=codes_get_array(gid,'#3#latitude')
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longitudeMaxWind0= codes_get_array(gid,'#3#longitude')
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if (significance!=3):
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print 'ERROR: unexpected #3#meteorologicalAttributeSignificance=', significance
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return 1
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latitudeWind=[[0 for x in range(rankPeriod)] for x in range(len(memberNumber))]
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longitudeWind=[[0 for x in range(rankPeriod)] for x in range(len(memberNumber))]
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wind=[[0 for x in range(rankPeriod)] for x in range(len(memberNumber))]
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windMaxWind0= codes_get_array(gid,'#1#windSpeedAt10M')
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if (len(latitudeMaxWind0)==len(memberNumber)):
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for i in range(len(memberNumber)):
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latitudeWind[i][0]=latitudeMaxWind0[i]
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longitudeWind[i][0]=longitudeMaxWind0[i]
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wind[i][0]=windMaxWind0[i]
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else:
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for i in range(len(memberNumber)):
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latitudeWind[i][0]=latitudeMaxWind0[0]
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longitudeWind[i][0]=longitudeMaxWind0[0]
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wind[i][0]=windMaxWind0[i]
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rankSignificance=3
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rankPosition=3
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rankPressure=1
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rankWind=1
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timePeriod=[0 for x in range(rankPeriod)]
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for i in range(1,rankPeriod):
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#for i in range(rankPeriod):
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rank1 = i * 2 + 2
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rank3 = i * 2 + 3
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#rank1 = (i+1) * 2 + 2
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#rank3 = (i+1)* 2 + 3
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ivalues= codes_get_array(gid,"#%d#timePeriod" %(i))
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if (len(ivalues)==1):
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timePeriod[i]=ivalues[0]
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else:
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for j in range(len (ivalues)):
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if (ivalues[j]!=CODES_MISSING_LONG):
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timePeriod[i]=ivalues[j]
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break
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values = codes_get_array(gid, "#%d#meteorologicalAttributeSignificance" % rank1)
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if (len(values)==1):
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significance=values[0]
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else:
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for j in range(len (values)):
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if (values[j]!=CODES_MISSING_LONG):
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significance=values[j]
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break
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if(significance==1):
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lat = codes_get_array(gid, "#%d#latitude" % rank1)
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lon = codes_get_array(gid, "#%d#longitude" % rank1)
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press = codes_get_array(gid, "#%d#pressureReducedToMeanSeaLevel" % (i + 1))
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else:
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print 'ERROR: unexpected meteorologicalAttributeSignificance=',significance
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values = codes_get_array(gid, "#%d#meteorologicalAttributeSignificance" % rank3)
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if (len(values)==1):
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significanceWind=values[0]
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else:
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for j in range(len (values)):
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if (values[j]!=CODES_MISSING_LONG):
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significanceWind=values[j]
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break
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if(significanceWind==3):
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lat3 = codes_get_array(gid, "#%d#latitude" % rank3)
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lon3 = codes_get_array(gid, "#%d#longitude" % rank3)
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wind3 = codes_get_array(gid, "#%d#windSpeedAt10M" % (i + 1))
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else:
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print 'ERROR: unexpected meteorologicalAttributeSignificance=',significanceWind
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#for k in range(1,len(memberNumber)):
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for k in range(len(memberNumber)):
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data[k][i]=[lat[k],lon[k],press[k],lat3[k],lon3[k],wind3[k]]
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if(cnt==2):
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print 'majaaa', i,timePeriod[s]
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# ---- Print the values --------------------------------
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for m in sorted( data.keys()):
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print "== Member %d"%(m+1)
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print "step latitude longitude pressure latitude longitude wind"
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#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])
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if latitude[m][0]!=CODES_MISSING_DOUBLE:
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print timePeriod[0],latitude[m][0],longitude[m][0],pressure[m][0],
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#print " {:>3d}{}{:>6.1f}{}{:>6.1f}{}{:>8.1f}{}{:>6.1f}{}{:>6.1f}{}{:>6.1f}".format(\
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# timePeriod[0],' ',latitude[m][0],' ',longitude[m][0],' ',pressure[m][0],' ',latitudeWind[m][0],' ',longitudeWind[m][0],' ',wind[m][0])
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for s in sorted( data[m].keys()):
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if data[m][s][0]!=CODES_MISSING_DOUBLE:
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print 'maja',s
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#print " {:>3d}{}{:>6.1f}{}{:>6.1f}{}{:>8.1f}{}{:>6.1f}{}{:>6.1f}{}{:>6.1f}".format(\
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# 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])
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#print "%d %.6g %.6g"%(timePeriod[s],data[m][s][0],data[m][s][1])
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codes_release(gid)
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cnt += 1
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print 'majaaaaaaaaaaa',cnt
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#del(timePeriod)
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#del(latitude)
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#del(longitude)
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#del(pressure)
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#del(latitudeWind)
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#del(longitudeWind)
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#del(wind)
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#del(data)
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# close the file
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f.close()
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def main():
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try:
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example()
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except CodesInternalError, err:
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if VERBOSE:
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traceback.print_exc(file=sys.stderr)
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else:
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print >>sys.stderr, err.msg
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return 1
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if __name__ == "__main__":
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sys.exit(main())
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@ -0,0 +1,39 @@
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#!/bin/sh
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# Copyright 2005-2015 ECMWF.
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#
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# This software is licensed under the terms of the Apache Licence Version 2.0
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# which can be obtained at http://www.apache.org/licenses/LICENSE-2.0.
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#
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# In applying this licence, ECMWF does not waive the privileges and immunities granted to it by
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# virtue of its status as an intergovernmental organisation nor does it submit to any jurisdiction.
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#
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. ./include.sh
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#Define a common label for all the tmp files
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label="bufr_read_tropical_cyclone_p"
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#Define tmp file
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#fTmp=${label}.tmp.txt
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#ref=${label}.tmp.ref
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#rm -f $fTmp | true
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#We check "asca_1391.bufr". The path is
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#hardcoded in the example
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REDIRECT=/dev/null
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echo $PYTHON $examples_src
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#Write the key values into a file
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#$PYTHON $examples_src/bufr_read_tropical_cyclone.py >$fTmp
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$PYTHON $examples_src/bufr_read_tropical_cyclone.py
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#TODO: check the results
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#cat > $ref <<EOF
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#EOF
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#
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#diff -w $ref $fTmp
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#Clean up
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#rm -f $ref $fTmp | true
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@ -1,140 +0,0 @@
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# Copyright 2005-2015 ECMWF.
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#
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# This software is licensed under the terms of the Apache Licence Version 2.0
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# which can be obtained at http://www.apache.org/licenses/LICENSE-2.0.
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#
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# In applying this licence, ECMWF does not waive the privileges and immunities granted to it by
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|
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# virtue of its status as an intergovernmental organisation nor does it submit to any jurisdiction.
|
|
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#
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# Python implementation: bufr_read_tropical_cyclone
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#
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# Description: how to read data of the ECMWF EPS tropical cyclone tracks encoded in BUFR format.
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#
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# Please note that scatterometer data can be encoded in various ways in BUFR. Therefore the code
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# below might not work directly for other types of messages than the one used in the
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# example. It is advised to use bufr_dump first to understand the structure of these messages.
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#
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import traceback
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import sys
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from eccodes import *
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INPUT = '../../data/bufr/tropical_cyclone.bufr'
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VERBOSE = 1 # verbose error reporting
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def example():
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# open bufr file
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f = open(INPUT)
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||||||
cnt = 0
|
|
||||||
|
|
||||||
# loop for the messages in the file
|
|
||||||
while 1:
|
|
||||||
# get handle for message
|
|
||||||
gid = codes_bufr_new_from_file(f)
|
|
||||||
if gid is None:
|
|
||||||
break
|
|
||||||
|
|
||||||
print "message: %s" % cnt
|
|
||||||
|
|
||||||
# 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.
|
|
||||||
|
|
||||||
# Get the total number of subsets.
|
|
||||||
numObs = codes_get(gid, "numberOfSubsets")
|
|
||||||
|
|
||||||
# print ' Number of values: %ld' % (numObs)
|
|
||||||
|
|
||||||
year = codes_get(gid, "year")
|
|
||||||
month = codes_get(gid, "month")
|
|
||||||
day = codes_get(gid, "day")
|
|
||||||
|
|
||||||
# Get ensembleMemberNumber
|
|
||||||
ensembleMemberNumber = codes_get_array(gid, "ensembleMemberNumber")
|
|
||||||
|
|
||||||
# Get the time step
|
|
||||||
nTimeSteps = len(codes_get_array(gid, "timePeriod"))
|
|
||||||
ts_list = codes_get_array(gid, "timePeriod")
|
|
||||||
for rank in xrange(nTimeSteps):
|
|
||||||
rank1 = (rank + 1) * 2 + 2
|
|
||||||
rank3 = (rank + 1) * 2 + 3
|
|
||||||
|
|
||||||
# print "time step %d"%ts_list[rank]
|
|
||||||
|
|
||||||
# Get the time step
|
|
||||||
timeStep = codes_get_array(gid, "#%d#timePeriod" % (rank + 1))
|
|
||||||
|
|
||||||
# Get Meteorological Attribute Significance
|
|
||||||
metAttSignificance = codes_get_array(gid, "#%d#meteorologicalAttributeSignificance" % rank1)
|
|
||||||
|
|
||||||
# Get latitude (for all the subsets)
|
|
||||||
lat = codes_get_array(gid, "#%d#latitude" % rank1)
|
|
||||||
|
|
||||||
# Get longitude (for all the subsets)
|
|
||||||
lon = codes_get_array(gid, "#%d#longitude" % rank1)
|
|
||||||
|
|
||||||
# Get pressureReducedToMeanSeaLevel(for all the subsets)
|
|
||||||
press = codes_get_array(gid, "#%d#pressureReducedToMeanSeaLevel" % (rank + 2))
|
|
||||||
|
|
||||||
# Get Meteorological Attribute Significance
|
|
||||||
metAttSignificance3 = codes_get_array(gid, "#5#meteorologicalAttributeSignificance")
|
|
||||||
|
|
||||||
# Get latitude (for all the subsets)
|
|
||||||
lat3 = codes_get_array(gid, "#%d#latitude" % rank3)
|
|
||||||
|
|
||||||
# Get longitude (for all the subsets)
|
|
||||||
lon3 = codes_get_array(gid, "#%d#longitude" % rank3)
|
|
||||||
|
|
||||||
# Get windSpeedAt10M(for all the subsets)
|
|
||||||
wind3 = codes_get_array(gid, "#%d#windSpeedAt10M" % (rank + 2))
|
|
||||||
|
|
||||||
# Check that all arrays are same size
|
|
||||||
if len(lat) != numObs or len(lon) != numObs or len(press) != numObs:
|
|
||||||
print 'inconsistent array dimension'
|
|
||||||
return 1
|
|
||||||
|
|
||||||
print 'Date %d %d %d Time step %d' % (day, month, year, ts_list[rank])
|
|
||||||
print " metAttSignificance %d %s metAttSignificance %d" % (metAttSignificance, " ", metAttSignificance3)
|
|
||||||
print "ens lat lon press lat lon wind10m"
|
|
||||||
for i in xrange(numObs):
|
|
||||||
if lat[i] != CODES_MISSING_DOUBLE:
|
|
||||||
print "%s %.6g %s %.6g %.6g %.6g %s %.6g %.6g %.6g" % ("", ensembleMemberNumber[i], " ", lat[i], lon[i], press[i], " ", lat3[i], lon3[i], wind3[i])
|
|
||||||
|
|
||||||
cnt += 1
|
|
||||||
|
|
||||||
# delete handle
|
|
||||||
codes_release(gid)
|
|
||||||
|
|
||||||
# close the file
|
|
||||||
f.close()
|
|
||||||
|
|
||||||
|
|
||||||
def main():
|
|
||||||
try:
|
|
||||||
example()
|
|
||||||
except CodesInternalError, err:
|
|
||||||
if VERBOSE:
|
|
||||||
traceback.print_exc(file=sys.stderr)
|
|
||||||
else:
|
|
||||||
print >>sys.stderr, err.msg
|
|
||||||
|
|
||||||
return 1
|
|
||||||
|
|
||||||
if __name__ == "__main__":
|
|
||||||
sys.exit(main())
|
|
||||||
File diff suppressed because it is too large
Load Diff
Loading…
Reference in New Issue