def test_ip123_all_val(self):
"""ip123_all, ip123_vall should give known result with known input"""
for pk1, pk2, pk3, ip1, ip2, ip3 in self.ip123knownValues:
ip1a1 = rmn.ip1_all(pk1.v1, pk1.kind)
ip1v1 = rmn.ip1_val(pk1.v1, pk1.kind)
ip1a2 = rmn.ip1_all(pk1.v2, pk1.kind)
ip1v2 = rmn.ip1_val(pk1.v2, pk1.kind)
self.assertEqual(ip1a1, ip1)
self.assertEqual(ip1v1, ip1)
self.assertEqual(ip1a2, ip1)
self.assertEqual(ip1v2, ip1)
ip2a1 = rmn.ip2_all(pk2.v1, pk2.kind)
ip2v1 = rmn.ip2_val(pk2.v1, pk2.kind)
ip2a2 = rmn.ip2_all(pk2.v2, pk2.kind)
ip2v2 = rmn.ip2_val(pk2.v2, pk2.kind)
self.assertEqual(ip2a1, ip2)
self.assertEqual(ip2v1, ip2)
self.assertEqual(ip2a2, ip2)
self.assertEqual(ip2v2, ip2)
ip3a1 = rmn.ip3_all(pk3.v1, pk3.kind)
ip3v1 = rmn.ip3_val(pk3.v1, pk3.kind)
ip3a2 = rmn.ip3_all(pk3.v2, pk3.kind)
ip3v2 = rmn.ip3_val(pk3.v2, pk3.kind)
self.assertEqual(ip3a1, ip3)
self.assertEqual(ip3v1, ip3)
self.assertEqual(ip3a2, ip3)
self.assertEqual(ip3v2, ip3)
def test_ip123_all_val(self):
"""ip123_all, ip123_vall should give known result with known input"""
for pk1,pk2,pk3,ip1,ip2,ip3 in self.ip123knownValues:
ip1a1 = rmn.ip1_all(pk1.v1,pk1.kind)
ip1v1 = rmn.ip1_val(pk1.v1,pk1.kind)
ip1a2 = rmn.ip1_all(pk1.v2,pk1.kind)
ip1v2 = rmn.ip1_val(pk1.v2,pk1.kind)
self.assertEqual(ip1a1,ip1)
self.assertEqual(ip1v1,ip1)
self.assertEqual(ip1a2,ip1)
self.assertEqual(ip1v2,ip1)
ip2a1 = rmn.ip2_all(pk2.v1,pk2.kind)
ip2v1 = rmn.ip2_val(pk2.v1,pk2.kind)
ip2a2 = rmn.ip2_all(pk2.v2,pk2.kind)
ip2v2 = rmn.ip2_val(pk2.v2,pk2.kind)
self.assertEqual(ip2a1,ip2)
self.assertEqual(ip2v1,ip2)
self.assertEqual(ip2a2,ip2)
self.assertEqual(ip2v2,ip2)
ip3a1 = rmn.ip3_all(pk3.v1,pk3.kind)
ip3v1 = rmn.ip3_val(pk3.v1,pk3.kind)
ip3a2 = rmn.ip3_all(pk3.v2,pk3.kind)
ip3v2 = rmn.ip3_val(pk3.v2,pk3.kind)
self.assertEqual(ip3a1,ip3)
self.assertEqual(ip3v1,ip3)
self.assertEqual(ip3a2,ip3)
self.assertEqual(ip3v2,ip3)
def test_14bqd(self):
import os, sys, datetime
import numpy as np
import rpnpy.librmn.all as rmn
import rpnpy.vgd.all as vgd
rmn.fstopt(rmn.FSTOP_MSGLVL,rmn.FSTOPI_MSG_CATAST)
fdate = datetime.date.today().strftime('%Y%m%d') + '00_048'
CMCGRIDF = os.getenv('CMCGRIDF').strip()
fileId = rmn.fstopenall(CMCGRIDF+'/prog/regpres/'+fdate, rmn.FST_RO)
v = vgd.vgd_read(fileId)
(tlvlkeys, rshape) = ([], None)
for ip1 in vgd.vgd_get(v, 'VIPT'):
(lval, lkind) = rmn.convertIp(rmn.CONVIP_DECODE, ip1)
key = rmn.fstinf(fileId, nomvar='TT', ip2=48, ip1=rmn.ip1_all(lval, lkind))
if key is not None: tlvlkeys.append((ip1, key['key']))
if rshape is None and key is not None: rshape = key['shape']
(r2d, r3d, k, rshape) = ({'d' : None}, None, 0, (rshape[0], rshape[1], len(tlvlkeys)))
for ip1, key in tlvlkeys:
r2d = rmn.fstluk(key, dataArray=r2d['d'])
if r3d is None:
r3d = r2d.copy()
r3d['d'] = np.empty(rshape, dtype=r2d['d'].dtype, order='FORTRAN')
r3d['d'][:,:,k] = r2d['d'][:,:]
rmn.fstcloseall(fileId)
r3d.update({'vgd':v, 'ip1list':[x[0] for x in tlvlkeys], 'shape':rshape, 'nk':rshape[2]})
(i1, j1) = (rshape[0]//2, rshape[1]//2)
print("CB14bqd: The TT profile at point (%d, %d) is:" % (i1, j1))
for k in xrange(rshape[2]):
(ldiagval, ldiagkind) = rmn.convertIp(rmn.CONVIP_DECODE, r3d['ip1list'][k])
print("CB14bqd: TT(%d, %d, %7.2f %s) = %6.1f C [mean=%6.1f, std=%6.1f, min=%6.1f, max=%6.1f]" %
(i1, j1, ldiagval, rmn.kindToString(ldiagkind), r3d['d'][i1,j1,k],
r3d['d'][:,:,k].mean(), r3d['d'][:,:,k].std(), r3d['d'][:,:,k].min(), r3d['d'][:,:,k].max()))
def test_11bqd(self):
import os, sys
import rpnpy.librmn.all as rmn
ATM_MODEL_DFILES = os.getenv('ATM_MODEL_DFILES').strip()
fileId = rmn.fstopenall(ATM_MODEL_DFILES+'/bcmk_p/anlp2015070706_000', rmn.FST_RO)
for k in rmn.fstinl(fileId, nomvar='TT',
ip1=rmn.ip1_all(500., rmn.LEVEL_KIND_PMB),
datev=rmn.newdate(rmn.NEWDATE_PRINT2STAMP, 20150707, 6000000)):
m = rmn.fstprm(k)
print("CB11bqd: %s (%d, %d, %s)" % (m['nomvar'], m['ip1'], m['ip2'], m['datev']))
rmn.fstcloseall(fileId)
def test_11b(self):
"""
Queries: List/Find records
This example shows how to
* get the list of all records matching selection creterions
* encode parameters (ip1, datev) values to use selection criteria
See also:
rpnpy.librmn.fstd98.fstopenall
rpnpy.librmn.fstd98.ip1_all
rpnpy.librmn.fstd98.ip2_all
rpnpy.librmn.fstd98.fstinl
rpnpy.librmn.fstd98.fstprm
rpnpy.librmn.fstd98.DecodeIp
rpnpy.librmn.fstd98.kindToString
rpnpy.librmn.base.newdate
rpnpy.librmn.fstd98.fstcloseall
rpnpy.librmn.const
"""
import os, sys
import rpnpy.librmn.all as rmn
# Open all RPNStd files in $ATM_MODEL_DFILES/bcmk_p/anlp2015070706_000
ATM_MODEL_DFILES = os.getenv('ATM_MODEL_DFILES').strip()
fileName = os.path.join(ATM_MODEL_DFILES, 'bcmk_p',
'anlp2015070706_000')
try:
fileId = rmn.fstopenall(fileName, rmn.FST_RO)
except:
sys.stderr.write("Problem opening the file: %s\n" % fileName)
sys.exit(1)
try:
# Encode selection criteria
ip1 = rmn.ip1_all(500., rmn.LEVEL_KIND_PMB)
datev = rmn.newdate(rmn.NEWDATE_PRINT2STAMP, 20150707, 6000000)
# Get the list of record keys matching
# nomvar='TT' at 500mb and valide date=20150707.06000000
keylist = rmn.fstinl(fileId, nomvar='TT', ip1=ip1, datev=datev)
print("CB11b: Found %d records matching TT, ip1=%d, datev=%d" %
(len(keylist), ip1, datev))
# Get every record meta data
for k in keylist:
m = rmn.fstprm(k)
print("CB11b: %s (%d, %d, %s)" %
(m['nomvar'], m['ip1'], m['ip2'], m['datev']))
except:
pass
finally:
# Close file even if an error occured above
rmn.fstcloseall(fileId)
def test_11b(self):
"""
Queries: List/Find records
This example shows how to
* get the list of all records matching selection creterions
* encode parameters (ip1, datev) values to use selection criteria
See also:
rpnpy.librmn.fstd98.fstopenall
rpnpy.librmn.fstd98.ip1_all
rpnpy.librmn.fstd98.ip2_all
rpnpy.librmn.fstd98.fstinl
rpnpy.librmn.fstd98.fstprm
rpnpy.librmn.fstd98.DecodeIp
rpnpy.librmn.fstd98.kindToString
rpnpy.librmn.base.newdate
rpnpy.librmn.fstd98.fstcloseall
rpnpy.librmn.const
"""
import os, sys
import rpnpy.librmn.all as rmn
# Open all RPNStd files in $ATM_MODEL_DFILES/bcmk_p/anlp2015070706_000
ATM_MODEL_DFILES = os.getenv('ATM_MODEL_DFILES').strip()
fileName = os.path.join(ATM_MODEL_DFILES, 'bcmk_p','anlp2015070706_000')
try:
fileId = rmn.fstopenall(fileName, rmn.FST_RO)
except:
sys.stderr.write("Problem opening the file: %s\n" % fileName)
sys.exit(1)
try:
# Encode selection criteria
ip1 = rmn.ip1_all(500., rmn.LEVEL_KIND_PMB)
datev = rmn.newdate(rmn.NEWDATE_PRINT2STAMP, 20150707, 6000000)
# Get the list of record keys matching
# nomvar='TT' at 500mb and valide date=20150707.06000000
keylist = rmn.fstinl(fileId, nomvar='TT', ip1=ip1, datev=datev)
print("CB11b: Found %d records matching TT, ip1=%d, datev=%d" %
(len(keylist), ip1, datev))
# Get every record meta data
for k in keylist:
m = rmn.fstprm(k)
print("CB11b: %s (%d, %d, %s)" % (m['nomvar'], m['ip1'], m['ip2'], m['datev']))
except:
pass
finally:
# Close file even if an error occured above
rmn.fstcloseall(fileId)
def test_10(self):
"""
Encoding values
Encoding values are usefull in 2 situations:
* providing the metadata when writing a record, it is best to encode in the new format then
* specify search criterions to read a record, it is best to search for the old and new formats,
the ip1_all and ip2_all functions can be used for that sake as long as no value range are needed.
See also:
rpnpy.librmn.fstd98.convertIp
rpnpy.librmn.fstd98.convertIPtoPK
rpnpy.librmn.fstd98.EncodeIp
rpnpy.librmn.fstd98.ip1_all
rpnpy.librmn.fstd98.ip2_all
rpnpy.librmn.fstd98.ip3_all
rpnpy.librmn.proto.FLOAT_IP
rpnpy.librmn.fstd98.fstopenall
rpnpy.librmn.fstd98.fstinf
rpnpy.librmn.fstd98.fstinl
rpnpy.librmn.fstd98.fstprm
rpnpy.librmn.fstd98.fstcloseall
rpnpy.librmn.fstd98.FSTDError
rpnpy.librmn.RMNError
rpnpy.librmn.const
"""
import os
import rpnpy.librmn.all as rmn
ATM_MODEL_DFILES = os.getenv('ATM_MODEL_DFILES')
fileName = os.path.join(ATM_MODEL_DFILES.strip(),
'bcmk/2009042700_012')
ip1new = rmn.convertIp(rmn.CONVIP_ENCODE, 850., rmn.KIND_PRESSURE)
ip1old = rmn.convertIp(rmn.CONVIP_ENCODE_OLD, 10., rmn.KIND_ABOVE_SEA)
ip1newall = rmn.ip1_all(1., rmn.KIND_HYBRID)
# Use ip1newall as a search criterion to find a record
try:
fileId = rmn.fstopenall(fileName, rmn.FST_RO)
ktt = rmn.fstinf(fileId, nomvar='TT', ip1=ip1newall)
except:
raise rmn.FSTDError(
"Problem finding of TT with ip1=%d record from file: %s" %
(ip1newall, fileName))
if not ktt:
print("Not Found: TT with ip1=%d record from file: %s" %
(ip1newall, fileName))
def test_14bqd(self):
import os, sys, datetime
import numpy as np
import rpnpy.librmn.all as rmn
import rpnpy.vgd.all as vgd
rmn.fstopt(rmn.FSTOP_MSGLVL, rmn.FSTOPI_MSG_CATAST)
fdate = datetime.date.today().strftime('%Y%m%d') + '00_048'
CMCGRIDF = os.getenv('CMCGRIDF').strip()
fileId = rmn.fstopenall(CMCGRIDF + '/prog/regpres/' + fdate,
rmn.FST_RO)
v = vgd.vgd_read(fileId)
(tlvlkeys, rshape) = ([], None)
for ip1 in vgd.vgd_get(v, 'VIPT'):
(lval, lkind) = rmn.convertIp(rmn.CONVIP_DECODE, ip1)
key = rmn.fstinf(fileId,
nomvar='TT',
ip2=48,
ip1=rmn.ip1_all(lval, lkind))
if key is not None: tlvlkeys.append((ip1, key['key']))
if rshape is None and key is not None: rshape = key['shape']
(r2d, r3d, k, rshape) = ({
'd': None
}, None, 0, (rshape[0], rshape[1], len(tlvlkeys)))
for ip1, key in tlvlkeys:
r2d = rmn.fstluk(key, dataArray=r2d['d'])
if r3d is None:
r3d = r2d.copy()
r3d['d'] = np.empty(rshape,
dtype=r2d['d'].dtype,
order='FORTRAN')
r3d['d'][:, :, k] = r2d['d'][:, :]
rmn.fstcloseall(fileId)
r3d.update({
'vgd': v,
'ip1list': [x[0] for x in tlvlkeys],
'shape': rshape,
'nk': rshape[2]
})
(i1, j1) = (rshape[0] // 2, rshape[1] // 2)
print("CB14bqd: The TT profile at point (%d, %d) is:" % (i1, j1))
for k in range(rshape[2]):
(ldiagval, ldiagkind) = rmn.convertIp(rmn.CONVIP_DECODE,
r3d['ip1list'][k])
print(
"CB14bqd: TT(%d, %d, %7.2f %s) = %6.1f C [mean=%6.1f, std=%6.1f, min=%6.1f, max=%6.1f]"
% (i1, j1, ldiagval, rmn.kindToString(ldiagkind),
r3d['d'][i1, j1, k], r3d['d'][:, :, k].mean(),
r3d['d'][:, :, k].std(), r3d['d'][:, :, k].min(),
r3d['d'][:, :, k].max()))
def get_levels_keys(fileId, nomvar, datev=-1, ip2=-1, ip3=-1,
typvar=' ', etiket=' ',
vGrid=None, thermoMom='VIPT', verbose=False):
"""
"""
#TODO: try to get the sorted ip1 list w/o vgrid, because vgrid doesn;t support 2 different vertical coor in the same file (or list of linked files)
# Get the vgrid definition present in the file
if vGrid is None:
if verbose:
print("Getting vertical grid description")
_vgd.vgd_put_opt('ALLOW_SIGMA', _vgd.VGD_ALLOW_SIGMA)
vGrid = _vgd.vgd_read(fileId)
vip = _vgd.vgd_get(vGrid, thermoMom)
if verbose:
vkind = _vgd.vgd_get(vGrid, 'KIND')
vver = _vgd.vgd_get(vGrid, 'VERS')
vtype = _vgd.VGD_KIND_VER_INV[(vkind,vver)]
print("Found %d %s levels of type %s" % (len(vip), thermoMom, vtype))
# Trim the list of ip1 to actual levels in files for nomvar
# since the vgrid in the file is a super set of all levels
# and get their "key"
vipkeys = []
for ip1 in vip:
(lval, lkind) = _rmn.convertIp(_rmn.CONVIP_DECODE, ip1)
key = _rmn.fstinf(fileId, nomvar=nomvar, datev=datev, ip2=ip2, ip3=ip3,
ip1=_rmn.ip1_all(lval, lkind),
typvar=typvar, etiket=etiket)
if key is not None:
vipkeys.append((ip1, key['key']))
if datev == -1 or ip2 == -1 or ip3 == -1 or typvar.strip() == '' or etiket.strip() == '':
meta = _rmn.fstprm(key)
datev = meta['datev']
ip2 = meta['ip2']
ip3 = meta['ip3']
typvar = meta['typvar']
etiket = meta['etiket']
return {
'nomvar' : nomvar,
'datev' : datev,
'ip2' : ip2,
'ip3' : ip3,
'typvar' : typvar,
'etiket' : etiket,
'v' : vGrid,
'ip1keys': vipkeys
}
def test_11bqd(self):
import os, sys
import rpnpy.librmn.all as rmn
ATM_MODEL_DFILES = os.getenv('ATM_MODEL_DFILES').strip()
fileId = rmn.fstopenall(
ATM_MODEL_DFILES + '/bcmk_p/anlp2015070706_000', rmn.FST_RO)
for k in rmn.fstinl(fileId,
nomvar='TT',
ip1=rmn.ip1_all(500., rmn.LEVEL_KIND_PMB),
datev=rmn.newdate(rmn.NEWDATE_PRINT2STAMP,
20150707, 6000000)):
m = rmn.fstprm(k)
print("CB11bqd: %s (%d, %d, %s)" %
(m['nomvar'], m['ip1'], m['ip2'], m['datev']))
rmn.fstcloseall(fileId)
def test_10(self):
"""
Encoding values
Encoding values are usefull in 2 situations:
* providing the metadata when writing a record, it is best to encode in the new format then
* specify search criterions to read a record, it is best to search for the old and new formats,
the ip1_all and ip2_all functions can be used for that sake as long as no value range are needed.
See also:
rpnpy.librmn.fstd98.convertIp
rpnpy.librmn.fstd98.convertIPtoPK
rpnpy.librmn.fstd98.EncodeIp
rpnpy.librmn.fstd98.ip1_all
rpnpy.librmn.fstd98.ip2_all
rpnpy.librmn.fstd98.ip3_all
rpnpy.librmn.proto.FLOAT_IP
rpnpy.librmn.fstd98.fstopenall
rpnpy.librmn.fstd98.fstinf
rpnpy.librmn.fstd98.fstinl
rpnpy.librmn.fstd98.fstprm
rpnpy.librmn.fstd98.fstcloseall
rpnpy.librmn.fstd98.FSTDError
rpnpy.librmn.RMNError
rpnpy.librmn.const
"""
import os
import rpnpy.librmn.all as rmn
ATM_MODEL_DFILES = os.getenv('ATM_MODEL_DFILES')
fileName = os.path.join(ATM_MODEL_DFILES.strip(), 'bcmk/2009042700_012')
ip1new = rmn.convertIp(rmn.CONVIP_ENCODE, 850., rmn.KIND_PRESSURE)
ip1old = rmn.convertIp(rmn.CONVIP_ENCODE_OLD, 10., rmn.KIND_ABOVE_SEA)
ip1newall = rmn.ip1_all(1., rmn.KIND_HYBRID)
# Use ip1newall as a search criterion to find a record
try:
fileId = rmn.fstopenall(fileName, rmn.FST_RO)
ktt = rmn.fstinf(fileId, nomvar='TT', ip1=ip1newall)
except:
raise rmn.FSTDError("Problem finding of TT with ip1=%d record from file: %s" % (ip1newall, fileName))
if not ktt:
print("Not Found: TT with ip1=%d record from file: %s" % (ip1newall, fileName))
def read_fst(file, var, level, fhour, yy):
global field
global lat
global lon
print var
print level
print fhour
print yy
try:
file = rmn.fstopenall(file, rmn.FST_RO)
except:
sys.stderr.write("Problem opening the file: %s\n" % file)
###Read in lat/lon data###
# Prefered method to get grid lat, lon. Works on any RPNSTD grid except 'x'
#####
try:
rec = rmn.fstlir(file, nomvar=var)
except:
sys.stderr.write('Error: Problem reading fields ' + var +
' in file: ' + file + '\n')
sys.exit(1)
try:
rec['iunit'] = file
gridid = rmn.ezqkdef(rec) # use ezscint to retreive full grid
gridLatLon = rmn.gdll(gridid)
lat = gridLatLon['lat']
lon = gridLatLon['lon']
if yy == True:
print "This grid is Yin-Yang and the lat/lon arrays need to be constructed from the 2 subgrids"
lat1 = gridLatLon['subgrid'][0]['lat']
lat2 = gridLatLon['subgrid'][1]['lat']
lon1 = gridLatLon['subgrid'][0]['lon']
lon2 = gridLatLon['subgrid'][1]['lon']
lat = np.append(lat1, lat2, axis=1)
lon = np.append(lon1, lon2, axis=1)
except:
sys.stderr.write('Error: Problem getting grid info in file')
sys.exit(1)
######
######
try:
#Get vertical grid definition from file
v = vgd.vgd_read(file)
#Get the list of ip1 on thermo levels in this file
#tlvl = vgd.vgd_get(v, 'VIPT')
tlvl = level
# Trim the list of thermo ip1 to actual levels in files for TT
# since the vgrid in the file is a super set of all levels
# and get their "key"
tlvlkeys = []
rshape = None
#for ip1 in tlvl:
(lval, lkind) = rmn.convertIp(rmn.CONVIP_DECODE, level)
key = rmn.fstinf(file,
nomvar=var,
ip2=fhour,
ip1=rmn.ip1_all(lval, lkind))
if key is not None:
tlvlkeys.append((level, key['key']))
if rshape is None:
rshape = key['shape']
rshape = (rshape[0], rshape[1], len(tlvlkeys))
r2d = {'d': None}
r3d = None
k = 0
try:
r2d = rmn.fstluk(key, dataArray=r2d['d'])
if r3d is None:
r3d = r2d.copy()
r3d['d'] = np.empty(rshape,
dtype=r2d['d'].dtype,
order='FORTRAN')
r3d['d'][:, :, k] = r2d['d'][:, :]
k += 1
except:
raise
except:
raise
finally:
# Close file even if an error occured above
rmn.fstcloseall(file)
# Add the vgrid and the actual ip1 list in the r3d dict, update shape and nk
r3d['vgd'] = v
r3d['ip1list'] = [x[0] for x in tlvlkeys]
r3d['shape'] = rshape
r3d['nk'] = rshape[2]
field = r3d['d']
return (field, lat, lon)
def test_51(self):
"""
Vertical Interpolation
See also:
scipy.interpolate.interp1d
"""
import os, sys, datetime
import numpy as np
from scipy.interpolate import interp1d as scipy_interp1d
import rpnpy.librmn.all as rmn
import rpnpy.vgd.all as vgd
MB2PA = 100.
# Restrict to the minimum the number of messages printed by librmn
rmn.fstopt(rmn.FSTOP_MSGLVL, rmn.FSTOPI_MSG_CATAST)
# Open Input file
hour = 48
fdate = datetime.date.today().strftime('%Y%m%d') + '00_0' + str(hour)
CMCGRIDF = os.getenv('CMCGRIDF').strip()
fileNameOut = os.path.join(CMCGRIDF, 'prog', 'regeta', fdate)
try:
fileIdIn = rmn.fstopenall(fileNameOut, rmn.FST_RO)
except:
sys.stderr.write("Problem opening the input file: %s\n" %
fileNameOut)
sys.exit(1)
try:
# Get the vgrid def present in the file
# and the full list of ip1
# and the surface reference field name for the coor
vIn = vgd.vgd_read(fileIdIn)
ip1listIn0 = vgd.vgd_get(vIn, 'VIPT')
rfldNameIn = vgd.vgd_get(vIn, 'RFLD')
vkind = vgd.vgd_get(vIn, 'KIND')
vver = vgd.vgd_get(vIn, 'VERS')
VGD_KIND_VER_INV = dict(
(v, k) for k, v in vgd.VGD_KIND_VER.items())
vtype = VGD_KIND_VER_INV[(vkind, vver)]
print(
"CB51: Found vgrid type=%s (kind=%d, vers=%d) with %d levels, RFLD=%s"
% (vtype, vkind, vver, len(ip1listIn0), rfldNameIn))
# Trim the list of thermo ip1 to actual levels in files for TT
# since the vgrid in the file is a super set of all levels
# and get their "key"
ip1Keys = []
rshape = None
for ip1 in ip1listIn0:
(lval, lkind) = rmn.convertIp(rmn.CONVIP_DECODE, ip1)
key = rmn.fstinf(fileIdIn,
nomvar='TT',
ip2=hour,
ip1=rmn.ip1_all(lval, lkind))
if key is not None:
print("CB51: Found TT at ip1=%d, ip2=%d" % (ip1, hour))
ip1Keys.append((ip1, key['key']))
if rshape is None:
rshape = key['shape']
rshape = (rshape[0], rshape[1], len(ip1Keys))
# Read every level for TT at ip2=hour, re-use 2d array while reading
# and store the data in a 3d array
# with lower level at nk, top at 0 as in the model
r2d = {'d': None}
r3d = None
k = 0
gIn = None
for ip1, key in ip1Keys:
try:
r2d = rmn.fstluk(key, dataArray=r2d['d'])
print("CB51: Read TT at ip1=%d, ip2=%d" % (ip1, hour))
if r3d is None:
r3d = r2d.copy()
r3d['d'] = np.empty(rshape,
dtype=r2d['d'].dtype,
order='FORTRAN')
r3d['d'][:, :, k] = r2d['d'][:, :]
k += 1
if gIn is None:
gIn = rmn.readGrid(fileIdIn, r2d)
print("CB51: Read the horizontal grid descriptors")
except:
pass
# Add the vgrid and the actual ip1 list in the r3d dict, update shape and nk
r3d['vgd'] = vIn
r3d['ip1list'] = [x[0] for x in ip1Keys]
r3d['shape'] = rshape
r3d['nk'] = rshape[2]
# Read the Input reference fields
rfldIn = None
if rfldNameIn:
rfldIn = rmn.fstlir(fileIdIn, nomvar=rfldNameIn, ip2=hour)
if rfldNameIn.strip() == 'P0':
rfldIn['d'][:] *= MB2PA
print(
"CB51: Read input RFLD=%s at ip2=%d [min=%7.0f, max=%7.0f]"
% (rfldNameIn, hour, rfldIn['d'].min(), rfldIn['d'].max()))
except:
raise # pass
finally:
# Close file even if an error occured above
rmn.fstcloseall(fileIdIn)
# Define the destination vertical grid/levels
try:
lvlsOut = (500., 850., 1000.)
vOut = vgd.vgd_new_pres(lvlsOut)
ip1listOut = vgd.vgd_get(vOut, 'VIPT')
rfldNameOut = vgd.vgd_get(vIn, 'RFLD')
rfldOut = None # in this case, Pressure levels, there are no RFLD
print("CB51: Defined a Pres vgrid with lvls=%s" % str(lvlsOut))
except:
sys.stderr.write("Problem creating a new vgrid\n")
sys.exit(1)
# Get input and output 3d pressure cubes
try:
## if rfldIn is None:
## rfldIn =
pIn = vgd.vgd_levels(vIn, ip1list=r3d['ip1list'], rfld=rfldIn['d'])
print(
"CB51: Computed input pressure cube, k0:[min=%7.0f, max=%7.0f], nk:[min=%7.0f, max=%7.0f]"
% (pIn[:, :, 0].min(), pIn[:, :, 0].max(), pIn[:, :, -1].min(),
pIn[:, :, -1].max()))
if rfldOut is None:
rfldOut = rfldIn # provide a dummy rfld for array shape
pOut = vgd.vgd_levels(vOut, ip1list=ip1listOut, rfld=rfldOut['d'])
print(
"CB51: Computed output pressure cube, k0:[min=%7.0f, max=%7.0f], nk:[min=%7.0f, max=%7.0f]"
% (pOut[:, :, 0].min(), pOut[:, :, 0].max(),
pOut[:, :, -1].min(), pOut[:, :, -1].max()))
except:
raise
sys.stderr.write("Problem computing pressure cubes\n")
sys.exit(1)
# Use scipy.interpolate.interp1d to vertically interpolate
try:
## f = scipy_interp1d(fromLvls, toLvls, kind='cubic',
## assume_sorted=True, bounds_error=False,
## fill_value='extrapolate', copy=False)
## # Unfortunately, looks like interp1d take colomn data
## f = scipy_interp1d(pIn, r3d['d'], kind='cubic',
## bounds_error=False,
## fill_value='extrapolate', copy=False)
## r3dout = f(pOut)
## # Unfortunately, assume_sorted, 'extrapolate' not support in my version
## extrap_value = 'extrapolate' # -99999.
## # Way too slow, needs a C implementation
extrap_value = -999.
## for j in range(rshape[1]):
## for i in range(rshape[0]):
## f = scipy_interp1d(pIn[i,j,:], r3d['d'][i,j,:],
## kind='cubic',
## bounds_error=False,
## fill_value=extrap_value, copy=False)
## r1d = f(pOut[i,j,:])
## #print i,j,r1d
except:
raise
sys.stderr.write("Problem Interpolating data\n")
sys.exit(1)
def test_14b(self):
"""
Queries: Get Vertical Grid info, Read 3D Field
This example shows how to
* get the vertical grid definition.
* use it to read a 3D field (records on all levels)
* then print a profile for this var
See also:
rpnpy.librmn.fstd98.fstopt
rpnpy.librmn.fstd98.fstopenall
rpnpy.librmn.fstd98.fstcloseall
rpnpy.librmn.fstd98.fstlinf
rpnpy.librmn.fstd98.fstlluk
rpnpy.librmn.fstd98.convertIp
rpnpy.librmn.fstd98.kindToString
rpnpy.vgd.base.vgd_read
rpnpy.vgd.base.vgd_get
rpnpy.librmn.const
rpnpy.vgd.const
"""
import os, sys, datetime
import numpy as np
import rpnpy.librmn.all as rmn
import rpnpy.vgd.all as vgd
# Restrict to the minimum the number of messages printed by librmn
rmn.fstopt(rmn.FSTOP_MSGLVL, rmn.FSTOPI_MSG_CATAST)
# Open file
fdate = datetime.date.today().strftime('%Y%m%d') + '00_048'
CMCGRIDF = os.getenv('CMCGRIDF').strip()
fileName = os.path.join(CMCGRIDF, 'prog', 'regeta', fdate)
try:
fileId = rmn.fstopenall(fileName, rmn.FST_RO)
except:
sys.stderr.write("Problem opening the file: %s\n" % fileName)
sys.exit(1)
try:
# Get the vgrid definition present in the file
v = vgd.vgd_read(fileId)
# Get the list of ip1 on thermo levels in this file
tlvl = vgd.vgd_get(v, 'VIPT')
# Trim the list of thermo ip1 to actual levels in files for TT
# since the vgrid in the file is a super set of all levels
# and get their "key"
tlvlkeys = []
rshape = None
for ip1 in tlvl:
(lval, lkind) = rmn.convertIp(rmn.CONVIP_DECODE, ip1)
key = rmn.fstinf(fileId,
nomvar='TT',
ip2=48,
ip1=rmn.ip1_all(lval, lkind))
if key is not None:
tlvlkeys.append((ip1, key['key']))
if rshape is None:
rshape = key['shape']
rshape = (rshape[0], rshape[1], len(tlvlkeys))
# Read every level for TT at ip2=48, re-use 2d array while reading
# and store the data in a 3d array
# with lower level at nk, top at 0 as in the model
# Note that for efficiency reasons, if only a profile was needed,
# only that profile would be saved instead of the whole 3d field
r2d = {'d': None}
r3d = None
k = 0
for ip1, key in tlvlkeys:
try:
r2d = rmn.fstluk(key, dataArray=r2d['d'])
if r3d is None:
r3d = r2d.copy()
r3d['d'] = np.empty(rshape,
dtype=r2d['d'].dtype,
order='FORTRAN')
r3d['d'][:, :, k] = r2d['d'][:, :]
k += 1
except:
pass
except:
pass
finally:
# Close file even if an error occured above
rmn.fstcloseall(fileId)
# Add the vgrid and the actual ip1 list in the r3d dict, update shape and nk
r3d['vgd'] = v
r3d['ip1list'] = [x[0] for x in tlvlkeys]
r3d['shape'] = rshape
r3d['nk'] = rshape[2]
# Print a profile of TT and stats by level
(i1, j1) = (rshape[0] // 2, rshape[1] // 2)
print("CB14b: The TT profile at point (%d, %d) is:" % (i1, j1))
for k in range(rshape[2]):
ip1 = r3d['ip1list'][k]
(ldiagval, ldiagkind) = rmn.convertIp(rmn.CONVIP_DECODE, ip1)
print(
"CB14b: TT(%d, %d, %7.2f %s) = %6.1f C [mean=%6.1f, std=%6.1f, min=%6.1f, max=%6.1f]"
% (i1, j1, ldiagval, rmn.kindToString(ldiagkind),
r3d['d'][i1, j1, k], r3d['d'][:, :, k].mean(),
r3d['d'][:, :, k].std(), r3d['d'][:, :, k].min(),
r3d['d'][:, :, k].max()))
def test_51(self):
"""
Vertical Interpolation
See also:
scipy.interpolate.interp1d
"""
import os, sys, datetime
import numpy as np
from scipy.interpolate import interp1d as scipy_interp1d
import rpnpy.librmn.all as rmn
import rpnpy.vgd.all as vgd
MB2PA = 100.
# Restric to the minimum the number of messages printed by librmn
rmn.fstopt(rmn.FSTOP_MSGLVL,rmn.FSTOPI_MSG_CATAST)
# Open Input file
hour = 48
fdate = datetime.date.today().strftime('%Y%m%d') + '00_0' + str(hour)
CMCGRIDF = os.getenv('CMCGRIDF').strip()
fileNameOut = os.path.join(CMCGRIDF, 'prog', 'regeta', fdate)
try:
fileIdIn = rmn.fstopenall(fileNameOut, rmn.FST_RO)
except:
sys.stderr.write("Problem opening the input file: %s\n" % fileNameOut)
sys.exit(1)
try:
# Get the vgrid def present in the file
# and the full list of ip1
# and the surface reference field name for the coor
vIn = vgd.vgd_read(fileIdIn)
ip1listIn0 = vgd.vgd_get(vIn, 'VIPT')
rfldNameIn = vgd.vgd_get(vIn, 'RFLD')
vkind = vgd.vgd_get(vIn, 'KIND')
vver = vgd.vgd_get(vIn, 'VERS')
VGD_KIND_VER_INV = dict((v, k) for k, v in vgd.VGD_KIND_VER.iteritems())
vtype = VGD_KIND_VER_INV[(vkind,vver)]
print("CB51: Found vgrid type=%s (kind=%d, vers=%d) with %d levels, RFLD=%s" %
(vtype, vkind, vver, len(ip1listIn0), rfldNameIn))
# Trim the list of thermo ip1 to actual levels in files for TT
# since the vgrid in the file is a super set of all levels
# and get their "key"
ip1Keys = []
rshape = None
for ip1 in ip1listIn0:
(lval, lkind) = rmn.convertIp(rmn.CONVIP_DECODE, ip1)
key = rmn.fstinf(fileIdIn, nomvar='TT', ip2=hour, ip1=rmn.ip1_all(lval, lkind))
if key is not None:
print("CB51: Found TT at ip1=%d, ip2=%d" % (ip1, hour))
ip1Keys.append((ip1, key['key']))
if rshape is None:
rshape = key['shape']
rshape = (rshape[0], rshape[1], len(ip1Keys))
# Read every level for TT at ip2=hour, re-use 2d array while reading
# and store the data in a 3d array
# with lower level at nk, top at 0 as in the model
r2d = {'d' : None}
r3d = None
k = 0
gIn = None
for ip1, key in ip1Keys:
try:
r2d = rmn.fstluk(key, dataArray=r2d['d'])
print("CB51: Read TT at ip1=%d, ip2=%d" % (ip1, hour))
if r3d is None:
r3d = r2d.copy()
r3d['d'] = np.empty(rshape, dtype=r2d['d'].dtype, order='FORTRAN')
r3d['d'][:,:,k] = r2d['d'][:,:]
k += 1
if gIn is None:
gIn = rmn.readGrid(fileIdIn, r2d)
print("CB51: Read the horizontal grid descriptors")
except:
pass
# Add the vgrid and the actual ip1 list in the r3d dict, update shape and nk
r3d['vgd'] = vIn
r3d['ip1list'] = [x[0] for x in ip1Keys]
r3d['shape'] = rshape
r3d['nk'] = rshape[2]
# Read the Input reference fields
rfldIn = None
if rfldNameIn:
rfldIn = rmn.fstlir(fileIdIn, nomvar=rfldNameIn, ip2=hour)
if rfldNameIn.strip() == 'P0':
rfldIn['d'][:] *= MB2PA
print("CB51: Read input RFLD=%s at ip2=%d [min=%7.0f, max=%7.0f]" % (rfldNameIn, hour, rfldIn['d'].min(), rfldIn['d'].max()))
except:
raise # pass
finally:
# Close file even if an error occured above
rmn.fstcloseall(fileIdIn)
# Define the destination vertical grid/levels
try:
lvlsOut = (500.,850.,1000.)
vOut = vgd.vgd_new_pres(lvlsOut)
ip1listOut = vgd.vgd_get(vOut, 'VIPT')
rfldNameOut = vgd.vgd_get(vIn, 'RFLD')
rfldOut = None # in this case, Pressure levels, there are no RFLD
print("CB51: Defined a Pres vgrid with lvls=%s" % str(lvlsOut))
except:
sys.stderr.write("Problem creating a new vgrid\n")
sys.exit(1)
# Get input and output 3d pressure cubes
try:
## if rfldIn is None:
## rfldIn =
pIn = vgd.vgd_levels(vIn, ip1list=r3d['ip1list'], rfld=rfldIn['d'])
print("CB51: Computed input pressure cube, k0:[min=%7.0f, max=%7.0f], nk:[min=%7.0f, max=%7.0f]" % (pIn[:,:,0].min(), pIn[:,:,0].max(), pIn[:,:,-1].min(), pIn[:,:,-1].max()))
if rfldOut is None:
rfldOut = rfldIn # provide a dummy rfld for array shape
pOut = vgd.vgd_levels(vOut, ip1list=ip1listOut, rfld=rfldOut['d'])
print("CB51: Computed output pressure cube, k0:[min=%7.0f, max=%7.0f], nk:[min=%7.0f, max=%7.0f]" % (pOut[:,:,0].min(), pOut[:,:,0].max(), pOut[:,:,-1].min(), pOut[:,:,-1].max()))
except:
raise
sys.stderr.write("Problem computing pressure cubes\n")
sys.exit(1)
# Use scipy.interpolate.interp1d to vertically interpolate
try:
## f = scipy_interp1d(fromLvls, toLvls, kind='cubic',
## assume_sorted=True, bounds_error=False,
## fill_value='extrapolate', copy=False)
## # Unfortunately, looks like interp1d take colomn data
## f = scipy_interp1d(pIn, r3d['d'], kind='cubic',
## bounds_error=False,
## fill_value='extrapolate', copy=False)
## r3dout = f(pOut)
## # Unfortunately, assume_sorted, 'extrapolate' not support in my version
## extrap_value = 'extrapolate' # -99999.
## # Way too slow, needs a C implementation
extrap_value = -999.
## for j in xrange(rshape[1]):
## for i in xrange(rshape[0]):
## f = scipy_interp1d(pIn[i,j,:], r3d['d'][i,j,:],
## kind='cubic',
## bounds_error=False,
## fill_value=extrap_value, copy=False)
## r1d = f(pOut[i,j,:])
## #print i,j,r1d
except:
raise
sys.stderr.write("Problem Interpolating data\n")
sys.exit(1)
def test_14b(self):
"""
Queries: Get Vertical Grid info, Read 3D Field
This example shows how to
* get the vertical grid definition.
* use it to read a 3D field (records on all levels)
* then print a profile for this var
See also:
rpnpy.librmn.fstd98.fstopt
rpnpy.librmn.fstd98.fstopenall
rpnpy.librmn.fstd98.fstcloseall
rpnpy.librmn.fstd98.fstlinf
rpnpy.librmn.fstd98.fstlluk
rpnpy.librmn.fstd98.convertIp
rpnpy.librmn.fstd98.kindToString
rpnpy.vgd.base.vgd_read
rpnpy.vgd.base.vgd_get
rpnpy.librmn.const
rpnpy.vgd.const
"""
import os, sys, datetime
import numpy as np
import rpnpy.librmn.all as rmn
import rpnpy.vgd.all as vgd
# Restrict to the minimum the number of messages printed by librmn
rmn.fstopt(rmn.FSTOP_MSGLVL,rmn.FSTOPI_MSG_CATAST)
# Open file
fdate = datetime.date.today().strftime('%Y%m%d') + '00_048'
CMCGRIDF = os.getenv('CMCGRIDF').strip()
fileName = os.path.join(CMCGRIDF, 'prog', 'regpres', fdate)
try:
fileId = rmn.fstopenall(fileName, rmn.FST_RO)
except:
sys.stderr.write("Problem opening the file: %s\n" % fileName)
sys.exit(1)
try:
# Get the vgrid definition present in the file
v = vgd.vgd_read(fileId)
# Get the list of ip1 on thermo levels in this file
tlvl = vgd.vgd_get(v, 'VIPT')
# Trim the list of thermo ip1 to actual levels in files for TT
# since the vgrid in the file is a super set of all levels
# and get their "key"
tlvlkeys = []
rshape = None
for ip1 in tlvl:
(lval, lkind) = rmn.convertIp(rmn.CONVIP_DECODE, ip1)
key = rmn.fstinf(fileId, nomvar='TT', ip2=48, ip1=rmn.ip1_all(lval, lkind))
if key is not None:
tlvlkeys.append((ip1, key['key']))
if rshape is None:
rshape = key['shape']
rshape = (rshape[0], rshape[1], len(tlvlkeys))
# Read every level for TT at ip2=48, re-use 2d array while reading
# and store the data in a 3d array
# with lower level at nk, top at 0 as in the model
# Note that for efficiency reasons, if only a profile was needed,
# only that profile would be saved instead of the whole 3d field
r2d = {'d' : None}
r3d = None
k = 0
for ip1, key in tlvlkeys:
try:
r2d = rmn.fstluk(key, dataArray=r2d['d'])
if r3d is None:
r3d = r2d.copy()
r3d['d'] = np.empty(rshape, dtype=r2d['d'].dtype, order='FORTRAN')
r3d['d'][:,:,k] = r2d['d'][:,:]
k += 1
except:
pass
except:
pass
finally:
# Close file even if an error occured above
rmn.fstcloseall(fileId)
# Add the vgrid and the actual ip1 list in the r3d dict, update shape and nk
r3d['vgd'] = v
r3d['ip1list'] = [x[0] for x in tlvlkeys]
r3d['shape'] = rshape
r3d['nk'] = rshape[2]
# Print a profile of TT and stats by level
(i1, j1) = (rshape[0]//2, rshape[1]//2)
print("CB14b: The TT profile at point (%d, %d) is:" % (i1, j1))
for k in xrange(rshape[2]):
ip1 = r3d['ip1list'][k]
(ldiagval, ldiagkind) = rmn.convertIp(rmn.CONVIP_DECODE, ip1)
print("CB14b: TT(%d, %d, %7.2f %s) = %6.1f C [mean=%6.1f, std=%6.1f, min=%6.1f, max=%6.1f]" %
(i1, j1, ldiagval, rmn.kindToString(ldiagkind), r3d['d'][i1,j1,k],
r3d['d'][:,:,k].mean(), r3d['d'][:,:,k].std(), r3d['d'][:,:,k].min(), r3d['d'][:,:,k].max()))
try:
#Get vertical grid definition from file
v = vgd.vgd_read(file)
#Get the list of ip1 on thermo levels in this file
#tlvl = vgd.vgd_get(v, 'VIPT')
tlvl = level
# Trim the list of thermo ip1 to actual levels in files for TT
# since the vgrid in the file is a super set of all levels
# and get their "key"
tlvlkeys = []
rshape = None
#for ip1 in tlvl:
(lval, lkind) = rmn.convertIp(rmn.CONVIP_DECODE, level)
key = rmn.fstinf(file, nomvar=var, ip2=fhour, ip1=rmn.ip1_all(lval, lkind))
if key is not None:
tlvlkeys.append((level, key['key']))
if rshape is None:
rshape = key['shape']
rshape = (rshape[0], rshape[1], len(tlvlkeys))
r2d = {'d': None}
r3d = None
k = 0
try:
r2d = rmn.fstluk(key, dataArray=r2d['d'])
if r3d is None:
r3d = r2d.copy()
r3d['d'] = np.empty(rshape, dtype=r2d['d'].dtype, order='FORTRAN')
r3d['d'][:, :, k] = r2d['d'][:, :]
def get_levels_keys(fileId,
nomvar,
datev=-1,
ip2=-1,
ip3=-1,
typvar=' ',
etiket=' ',
vGrid=None,
thermoMom='VIPT',
verbose=False):
"""
Get from file the list of ip1 and fstd-record-key matching provided filters
ipkeys = get_levels_keys(fileId, nomvar)
Args:
fileId : unit number associated to the file
obtained with fnom+fstouv
nomvar : variable name
datev : valid date
ip2 : forecast hour
ip3 : user defined identifier
typvar : type of field
etiket : label
vGrid : vertical grid descriptor
thermoMom : 'VIPT' to get Thermo levels, 'VIPT' for momentum levels
verbose : Print some info when true
Returns:
{
'nomvar' : nomvar, # variable name
'datev' : datev, # valid date
'ip2' : ip2, # forecast hour
'ip3' : ip3, # user defined identifier
'typvar' : typvar, # type of field
'etiket' : etiket, # label
'vgrid' : vGrid, # vertical grid descriptor as returned by vgd_read
'ip1keys': vipkeys # list of ip1 and corresponding FSTD rec key as
# ((ip1,key1), (ip1b, key2), ...)
}
Raises:
TypeError on wrong input arg types
ValueError on invalid input arg value
FSTDError on any other error
Examples:
>>> import os, os.path
>>> import rpnpy.librmn.all as rmn
>>> import rpnpy.utils.fstd3d as fstd3d
>>> ATM_MODEL_DFILES = os.getenv('ATM_MODEL_DFILES').strip()
>>> filename = os.path.join(ATM_MODEL_DFILES,'bcmk')
>>>
>>> # Open existing file in Rear Only mode
>>> fileId = rmn.fstopenall(filename, rmn.FST_RO)
>>>
>>> # Find ip1, key for all TT in file
>>> ipkeys = fstd3d.get_levels_keys(fileId, 'TT', thermoMom='VIPT', verbose=True)
Getting vertical grid description
Found 158 VIPT levels of type hyb
>>> print('# Found {} levels for TT'.format(len(ipkeys['ip1keys'])))
# Found 80 levels for TT
>>> rmn.fstcloseall(fileId)
See Also:
get_levels_press
fst_read_3d
rpnpy.librmn.fstd98.fstinf
rpnpy.librmn.fstd98.fstprm
rpnpy.librmn.fstd98.fstopenall
rpnpy.librmn.fstd98.fstcloseall
rpnpy.vgd.base.vgd_read
"""
#TODO: try to get the sorted ip1 list w/o vgrid, because vgrid doesn;t support 2 different vertical coor in the same file (or list of linked files)
# Get the vgrid definition present in the file
if vGrid is None:
if verbose:
print("Getting vertical grid description")
_vgd.vgd_put_opt('ALLOW_SIGMA', _vgd.VGD_ALLOW_SIGMA)
vGrid = _vgd.vgd_read(fileId)
vip = _vgd.vgd_get(vGrid, thermoMom)
if verbose:
vkind = _vgd.vgd_get(vGrid, 'KIND')
vver = _vgd.vgd_get(vGrid, 'VERS')
vtype = _vgd.VGD_KIND_VER_INV[(vkind, vver)]
print("Found %d %s levels of type %s" % (len(vip), thermoMom, vtype))
# Trim the list of ip1 to actual levels in files for nomvar
# since the vgrid in the file is a super set of all levels
# and get their "key"
vipkeys = []
for ip1 in vip:
(lval, lkind) = _rmn.convertIp(_rmn.CONVIP_DECODE, ip1)
key = _rmn.fstinf(fileId,
nomvar=nomvar,
datev=datev,
ip2=ip2,
ip3=ip3,
ip1=_rmn.ip1_all(lval, lkind),
typvar=typvar,
etiket=etiket)
if key is not None:
vipkeys.append((ip1, key['key']))
if (datev == -1 or ip2 == -1 or ip3 == -1 or typvar.strip() == ''
or etiket.strip() == ''):
meta = _rmn.fstprm(key)
datev = meta['datev']
ip2 = meta['ip2']
ip3 = meta['ip3']
typvar = meta['typvar']
etiket = meta['etiket']
return {
'nomvar': nomvar,
'datev': datev,
'ip2': ip2,
'ip3': ip3,
'typvar': typvar,
'etiket': etiket,
'vgrid': vGrid,
'ip1keys': vipkeys
}