def test_13(self):
"""
Interpolating Data
Interpolating data to/from known FSTD grids is made easy with the Ezscint package.
There are a few exceptions though
* you can only interpolate to a Y grid, not from it.
* multi-parts grids (Yin-Yang, ...) have to be dealth with in a special way (see below)
In this example we'll interpolate forecast data onto the analysis grid to make some computations
See also:
"""
import os
import rpnpy.librmn.all as rmn
ATM_MODEL_DFILES = os.getenv('ATM_MODEL_DFILES')
fileName0 = os.path.join(ATM_MODEL_DFILES.strip(), 'bcmk/2009042700_000') #Analysis
fileName1 = os.path.join(ATM_MODEL_DFILES.strip(), 'bcmk/2009042700_012') #Forecast
# Get data and grid definition for P0 in the 1st FSTD file
try:
fileId = rmn.fstopenall(fileName0, rmn.FST_RO)
p0Data1 = rmn.fstlir(fileId, nomvar='P0') # Get the record data and metadata along with partial grid info
p0Data1['iunit'] = fileId
p0GridId = rmn.ezqkdef(p0Data1) # use ezscint to retreive a grid id
p0Grid1 = rmn.decodeGrid(p0GridId) # Decode all the grid parameters values
rmn.fstcloseall(fileId)
except:
raise rmn.FSTDError("Problem getting P0 record grid meta from file: %s" % fileName0)
# Get data and grid definition for P0 in the 2nd FSTD file
try:
fileId = rmn.fstopenall(fileName1, rmn.FST_RO)
p0Data2 = rmn.fstlir(fileId, nomvar='P0', ip2=12) # Get the record data and metadata along with partial grid info
p0Data2['iunit'] = fileId
p0GridId = rmn.ezqkdef(p0Data2) # use ezscint to retreive a grid id
p0Grid2 = rmn.decodeGrid(p0GridId) # Decode all the grid parameters values
rmn.fstcloseall(fileId)
except:
raise rmn.FSTDError("Problem getting P0 record grid meta from file: %s " % fileName1)
# Make a cubic interpolation of p0Data2 onto p0Grid1 with extrapolated values set to Minvalue of the field
rmn.ezsetopt(rmn.EZ_OPT_EXTRAP_DEGREE, rmn.EZ_EXTRAP_MIN)
rmn.ezsetopt(rmn.EZ_OPT_INTERP_DEGREE, rmn.EZ_INTERP_LINEAR)
p0Data2_onGrid1 = rmn.ezsint(p0Grid1['id'], p0Grid2['id'], p0Data2['d'])
# Make some computation
p0Diff = p0Data2_onGrid1 - p0Data1['d']
def getGrid(dataKey, fileID):
""" Get the gridID for an FST file. Can be used to get more grid details. """
fileMeta = rmn.fstprm(dataKey)
fileMeta['iunit'] = fileID
gridID = rmn.ezqkdef(fileMeta)
return gridID
def test_ezqkdef_file_ezgprm_ezgfstp(self):
rmn.fstopt(rmn.FSTOP_MSGLVL,rmn.FSTOPI_MSG_CATAST)
ATM_MODEL_DFILES = os.getenv('ATM_MODEL_DFILES')
myfile = os.path.join(ATM_MODEL_DFILES.strip(),'bcmk/geophy.fst')
funit = rmn.fstopenall(myfile,rmn.FST_RO)
(ni,nj) = (201,100)
gp = {
'shape' : (ni,nj),
'ni' : ni,
'nj' : nj,
'grtyp' : 'Z',
'ig1' : 2002,
'ig2' : 1000,
'ig3' : 0,
'ig4' : 0,
'grref' : 'E',
'ig1ref' : 900,
'ig2ref' : 0,
'ig3ref' : 43200,
'ig4ref' : 43200,
'iunit' : funit
}
gid1 = rmn.ezqkdef(gp)
a = rmn.ezgfstp(gid1)
rmn.fstcloseall(funit)
self.assertTrue(gid1>=0)
gp['id'] = gid1
gprm = rmn.ezgxprm(gid1)
for k in gprm.keys():
self.assertEqual(gp[k],gprm[k])
self.assertEqual(a['nomvarx'].strip(),'>>')
self.assertEqual(a['nomvary'].strip(),'^^')
rmn.gdrls(gid1)
def test_ezqkdef_file_ezgprm_ezgfstp(self):
rmn.fstopt(rmn.FSTOP_MSGLVL,rmn.FSTOPI_MSG_CATAST)
ATM_MODEL_DFILES = os.getenv('ATM_MODEL_DFILES')
myfile = os.path.join(ATM_MODEL_DFILES.strip(),'bcmk/geophy.fst')
funit = rmn.fstopenall(myfile,rmn.FST_RO)
(ni,nj) = (201,100)
gp = {
'shape' : (ni,nj),
'ni' : ni,
'nj' : nj,
'grtyp' : 'Z',
'ig1' : 2002,
'ig2' : 1000,
'ig3' : 0,
'ig4' : 0,
'grref' : 'E',
'ig1ref' : 900,
'ig2ref' : 0,
'ig3ref' : 43200,
'ig4ref' : 43200,
'iunit' : funit
}
gid1 = rmn.ezqkdef(gp)
a = rmn.ezgfstp(gid1)
rmn.fstcloseall(funit)
self.assertTrue(gid1>=0)
gp['id'] = gid1
gprm = rmn.ezgxprm(gid1)
for k in gprm.keys():
self.assertEqual(gp[k],gprm[k])
self.assertEqual(a['nomvarx'].strip(),'>>')
self.assertEqual(a['nomvary'].strip(),'^^')
rmn.gdrls(gid1)
def data_from_key(key, file_id, lonarr, latarr):
meta = rmn.fstprm(key)
meta['iunit'] = file_id
data = rmn.fstluk(key)['d']
grid = rmn.ezqkdef(meta)
xypos = rmn.gdxyfll(grid, latarr, lonarr)
val = rmn.gdxysval(grid, xypos['x'], xypos['y'], data)
return meta, grid, xypos, val
def test_ezsint(self):
gp1 = self.getGridParams_L()
gid1 = rmn.ezqkdef(gp1)
self.assertTrue(gid1>=0)
gp2 = self.getGridParams_L(0.25)
gid2 = rmn.ezqkdef(gp2)
self.assertTrue(gid2>=0)
setid = rmn.ezdefset(gid2, gid1)
self.assertTrue(setid>=0)
zin = np.empty(gp1['shape'],dtype=np.float32,order='FORTRAN')
for x in xrange(gp1['ni']):
zin[:,x] = x
zout = rmn.ezsint(gid2,gid1,zin)
self.assertEqual(gp2['shape'],zout.shape)
for j in xrange(gp2['nj']):
for i in xrange(gp2['ni']):
self.assertTrue(abs((zin[i,j]+zin[i+1,j])/2.-zout[i,j]) < self.epsilon)
def test_ezsint(self):
gp1 = self.getGridParams_L()
gid1 = rmn.ezqkdef(gp1)
self.assertTrue(gid1>=0)
gp2 = self.getGridParams_L(0.25)
gid2 = rmn.ezqkdef(gp2)
self.assertTrue(gid2>=0)
setid = rmn.ezdefset(gid2, gid1)
self.assertTrue(setid>=0)
zin = np.empty(gp1['shape'],dtype=np.float32,order='FORTRAN')
for x in range(gp1['ni']):
zin[:,x] = x
zout = rmn.ezsint(gid2,gid1,zin)
self.assertEqual(gp2['shape'],zout.shape)
for j in range(gp2['nj']):
for i in range(gp2['ni']):
self.assertTrue(abs((zin[i,j]+zin[i+1,j])/2.-zout[i,j]) < self.epsilon)
def getGridData(fileID, key):
fileMeta = rmn.fstprm(key)
fileMeta['iunit'] = fileID
gridMeta = rmn.ezqkdef(fileMeta)
gridData = rmn.gdll(gridMeta)
lonData = gridData['lon'].tolist()
latData = gridData['lat'].tolist()
return gridData, lonData, latData
def test_ezqkdef_1subgrid(self):
gp = self.getGridParams_L()
gid1 = rmn.ezqkdef(gp)
self.assertTrue(gid1>=0)
ng = rmn.ezget_nsubgrids(gid1)
self.assertEqual(ng,1)
subgid = rmn.ezget_subgridids(gid1)
self.assertEqual(subgid,[gid1])
rmn.gdrls(gid1)
def test_ezqkdef_ezgprm(self):
gp = self.getGridParams_L()
gid1 = rmn.ezqkdef(gp)
self.assertTrue(gid1>=0)
gp['id'] = gid1
gprm = rmn.ezgprm(gid1)
for k in gprm.keys():
self.assertEqual(gp[k],gprm[k])
rmn.gdrls(gid1)
def test_ezqkdef_ezgprm(self):
gp = self.getGridParams_L()
gid1 = rmn.ezqkdef(gp)
self.assertTrue(gid1>=0)
gp['id'] = gid1
gprm = rmn.ezgprm(gid1)
for k in gprm.keys():
self.assertEqual(gp[k],gprm[k])
rmn.gdrls(gid1)
def test_ezqkdef_1subgrid(self):
gp = self.getGridParams_L()
gid1 = rmn.ezqkdef(gp)
self.assertTrue(gid1>=0)
ng = rmn.ezget_nsubgrids(gid1)
self.assertEqual(ng,1)
subgid = rmn.ezget_subgridids(gid1)
self.assertEqual(subgid,[gid1])
rmn.gdrls(gid1)
def getGrid(dataKey):
fileMeta = rmn.fstprm(dataKey)
fileMeta['iunit'] = fileID #add to dictionary as key,val pair
gridData = rmn.ezqkdef(fileMeta)
gridDecode = rmn.decodeGrid(gridData) #use this for information, not really needed if just getting all lat lon values, but can get bottom left corner if needed for something else
llGridData = rmn.gdll(gridData) # is a dictionary of two arrays for lat and lon
latData = llGridData['lat']
lonData = llGridData['lon']
return latData, lonData
def test_ezqkdef_gdll(self):
gp = self.getGridParams_L()
gid1 = rmn.ezqkdef(gp)
self.assertTrue(gid1>=0)
gll = rmn.gdll(gid1)
self.assertEqual(gp['shape'],gll['lat'].shape)
self.assertEqual(gp['shape'],gll['lon'].shape)
self.assertEqual(gp['lat0'],gll['lat'][0,0])
self.assertEqual(gp['lon0'],gll['lon'][0,0])
rmn.gdrls(gid1)
def test_ezqkdef_gdll(self):
gp = self.getGridParams_L()
gid1 = rmn.ezqkdef(gp)
self.assertTrue(gid1>=0)
gll = rmn.gdll(gid1)
self.assertEqual(gp['shape'],gll['lat'].shape)
self.assertEqual(gp['shape'],gll['lon'].shape)
self.assertEqual(gp['lat0'],gll['lat'][0,0])
self.assertEqual(gp['lon0'],gll['lon'][0,0])
rmn.gdrls(gid1)
def getGrid(dataKey, fileID):
try:
fileMeta = rmn.fstprm(dataKey)
fileMeta['iunit'] = fileID
gridData = rmn.ezqkdef(fileMeta)
llGridData = rmn.gdll(gridData)
latData = llGridData['lat'].tolist()
lonData = llGridData['lon'].tolist()
return lonData, latData, gridData
except:
print('ERROR: Could not get grid. Please try again.')
def test_12(self):
"""
Defining Grids
Grids can be defined from
* a record in a FSTD file or
* directly by providing parameters.
These grids parameters can be used to geolocate the data points and
for interpolation operations (see below).
See also:
"""
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')
# Define a grid from parameters, a cylindrical equidistant (LatLon) grid with 0.5 deg spacing.
paramsL = {
'grtyp': 'L', # Cylindrical equidistant projection
'ni': 90, # Grid dimension: 90 by 45 points
'nj': 45,
'lat0':
0., # Grid lower-left (south-west) corner (point 1,1) is located at 0N, 180E
'lon0': 180.,
'dlat':
0.5, # The grid has a resolution (grid spacing) of 0.5 deg. on both axes
'dlon': 0.5
}
try:
gridL = rmn.encodeGrid(paramsL)
except:
raise rmn.FSTDError(
"Problem defining a grid with provided parameters: %s " %
str(paramsL))
# Get a grid definition from a record in a FSTD file
try:
fileId = rmn.fstopenall(fileName, rmn.FST_RO)
prKey = rmn.fstinf(fileId, nomvar='PR')['key']
prMeta = rmn.fstprm(
prKey) # Get the record metadata along with partial grid info
prMeta['iunit'] = fileId
prGrid0 = rmn.ezqkdef(
prMeta) # use ezscint to retreive full grid info
prGrid = rmn.decodeGrid(
prGrid0) # Decode all the grid parameters values
rmn.fstcloseall(fileId)
except:
raise rmn.FSTDError(
"Problem getting PR record grid meta from file: %s" % fileName)
def test_gdxysval(self):
gp1 = self.getGridParams_L()
gid1 = rmn.ezqkdef(gp1)
self.assertTrue(gid1>=0)
zin = np.empty(gp1['shape'],dtype=np.float32,order='FORTRAN')
for x in xrange(gp1['ni']):
zin[:,x] = x
xx = np.array([1.5],dtype=np.float32,order='FORTRAN')
yy = np.array([1.5],dtype=np.float32,order='FORTRAN')
zout = rmn.gdxysval(gid1,xx,yy,zin)
self.assertEqual(xx.shape,zout.shape)
self.assertTrue(abs((zin[0,0]+zin[1,1])/2. - zout[0]) < self.epsilon)
rmn.gdrls(gid1)
def test_ezuvint(self):
gp1 = self.getGridParams_L()
gid1 = rmn.ezqkdef(gp1)
self.assertTrue(gid1>=0)
gp2 = self.getGridParams_L(0.25)
gid2 = rmn.ezqkdef(gp2)
self.assertTrue(gid2>=0)
setid = rmn.ezdefset(gid2, gid1)
self.assertTrue(setid>=0)
uuin = np.empty(gp1['shape'],dtype=np.float32,order='FORTRAN')
vvin = np.empty(gp1['shape'],dtype=np.float32,order='FORTRAN')
for x in xrange(gp1['ni']):
uuin[:,x] = x
vvin = uuin*3.
(uuout,vvout) = rmn.ezuvint(gid2,gid1,uuin,vvin)
self.assertEqual(gp2['shape'],uuout.shape)
self.assertEqual(gp2['shape'],vvout.shape)
for j in xrange(gp2['nj']):
for i in xrange(gp2['ni']):
self.assertTrue(abs((uuin[i,j]+uuin[i+1,j])/2.-uuout[i,j]) < self.epsilon,'uvint, u: abs(%f-%f)=%f' % (((uuin[i,j]+uuin[i+1,j])/2),uuout[i,j],(uuin[i,j]+uuin[i+1,j])/2.-uuout[i,j]))
self.assertTrue(abs((vvin[i,j]+vvin[i+1,j])/2.-vvout[i,j]) < self.epsilon,'uvint, v: abs(%f-%f)=%f' % (((vvin[i,j]+vvin[i+1,j])/2),vvout[i,j],(vvin[i,j]+vvin[i+1,j])/2.-vvout[i,j]))
def test_gdxysval(self):
gp1 = self.getGridParams_L()
gid1 = rmn.ezqkdef(gp1)
self.assertTrue(gid1>=0)
zin = np.empty(gp1['shape'],dtype=np.float32,order='FORTRAN')
for x in range(gp1['ni']):
zin[:,x] = x
xx = np.array([1.5],dtype=np.float32,order='FORTRAN')
yy = np.array([1.5],dtype=np.float32,order='FORTRAN')
zout = rmn.gdxysval(gid1,xx,yy,zin)
self.assertEqual(xx.shape,zout.shape)
self.assertTrue(abs((zin[0,0]+zin[1,1])/2. - zout[0]) < self.epsilon)
rmn.gdrls(gid1)
def getGrid(dataKey, fileID):
""" Get the grid details in form of lon/lat of the FST file. """
# Get the file metadata, then add on the keypair for 'iunit'
fileMeta = rmn.fstprm(dataKey)
fileMeta['iunit'] = fileID
# Get the grid data and decode it
gridData = rmn.ezqkdef(fileMeta)
gridDecode = rmn.decodeGrid(gridData)
llGridData = rmn.gdll(gridData)
latData = llGridData['lat']
lonData = llGridData['lon']
return {'gridll':llGridData,'gridID':gridData, 'latData':latData,'lonData':lonData}
def test_ezuvint(self):
gp1 = self.getGridParams_L()
gid1 = rmn.ezqkdef(gp1)
self.assertTrue(gid1>=0)
gp2 = self.getGridParams_L(0.25)
gid2 = rmn.ezqkdef(gp2)
self.assertTrue(gid2>=0)
setid = rmn.ezdefset(gid2, gid1)
self.assertTrue(setid>=0)
uuin = np.empty(gp1['shape'],dtype=np.float32,order='FORTRAN')
vvin = np.empty(gp1['shape'],dtype=np.float32,order='FORTRAN')
for x in range(gp1['ni']):
uuin[:,x] = x
vvin = uuin*3.
(uuout,vvout) = rmn.ezuvint(gid2,gid1,uuin,vvin)
self.assertEqual(gp2['shape'],uuout.shape)
self.assertEqual(gp2['shape'],vvout.shape)
for j in range(gp2['nj']):
for i in range(gp2['ni']):
self.assertTrue(abs((uuin[i,j]+uuin[i+1,j])/2.-uuout[i,j]) < self.epsilon,'uvint, u: abs(%f-%f)=%f' % (((uuin[i,j]+uuin[i+1,j])/2),uuout[i,j],(uuin[i,j]+uuin[i+1,j])/2.-uuout[i,j]))
self.assertTrue(abs((vvin[i,j]+vvin[i+1,j])/2.-vvout[i,j]) < self.epsilon,'uvint, v: abs(%f-%f)=%f' % (((vvin[i,j]+vvin[i+1,j])/2),vvout[i,j],(vvin[i,j]+vvin[i+1,j])/2.-vvout[i,j]))
def test_gdllsval(self):
gp1 = self.getGridParams_L()
gid1 = rmn.ezqkdef(gp1)
self.assertTrue(gid1>=0)
zin = np.empty(gp1['shape'],dtype=np.float32,order='FORTRAN')
for x in range(gp1['ni']):
zin[:,x] = x
lat = np.array([gp1['lat0']+gp1['dlat']/2.],dtype=np.float32,order='FORTRAN')
lon = np.array([(gp1['lon0']+gp1['dlon'])/2.],dtype=np.float32,order='FORTRAN')
zout = rmn.gdllsval(gid1,lat,lon,zin)
self.assertEqual(lat.shape,zout.shape)
self.assertTrue(abs((zin[0,0]+zin[1,1])/2. - zout[0]) < self.epsilon)
rmn.gdrls(gid1)
def test_gdllsval(self):
gp1 = self.getGridParams_L()
gid1 = rmn.ezqkdef(gp1)
self.assertTrue(gid1>=0)
zin = np.empty(gp1['shape'],dtype=np.float32,order='FORTRAN')
for x in xrange(gp1['ni']):
zin[:,x] = x
lat = np.array([gp1['lat0']+gp1['dlat']/2.],dtype=np.float32,order='FORTRAN')
lon = np.array([(gp1['lon0']+gp1['dlon'])/2.],dtype=np.float32,order='FORTRAN')
zout = rmn.gdllsval(gid1,lat,lon,zin)
self.assertEqual(lat.shape,zout.shape)
self.assertTrue(abs((zin[0,0]+zin[1,1])/2. - zout[0]) < self.epsilon)
rmn.gdrls(gid1)
def test_ezqkdef_ezgxprm(self):
gp = self.getGridParams_L()
gid1 = rmn.ezqkdef(gp['ni'],gp['nj'],gp['grtyp'],
gp['ig1'],gp['ig2'],gp['ig3'],gp['ig4'])
self.assertTrue(gid1>=0)
gp['id'] = gid1
gp['grref'] = ''
gp['ig1ref'] = 0
gp['ig2ref'] = 0
gp['ig3ref'] = 0
gp['ig4ref'] = 0
gprm = rmn.ezgxprm(gid1)
for k in gprm.keys():
self.assertEqual(gp[k],gprm[k])
rmn.gdrls(gid1)
def test_ezqkdef_ezgxprm(self):
gp = self.getGridParams_L()
gid1 = rmn.ezqkdef(gp['ni'],gp['nj'],gp['grtyp'],
gp['ig1'],gp['ig2'],gp['ig3'],gp['ig4'])
self.assertTrue(gid1>=0)
gp['id'] = gid1
gp['grref'] = ''
gp['ig1ref'] = 0
gp['ig2ref'] = 0
gp['ig3ref'] = 0
gp['ig4ref'] = 0
gprm = rmn.ezgxprm(gid1)
for k in gprm.keys():
self.assertEqual(gp[k],gprm[k])
rmn.gdrls(gid1)
def _getGridHandle(ni, nj, grtyp, grref, ig1, ig2, ig3, ig4, i0, j0, xs, ys):
## if (_isGridValid(ni, nj, grtyp, grref, ig1, ig2, ig3, ig4, i0, j0, xs, ys)>=0) #TODO
gdid = -1
i0b = 0
j0b = 0
grtypZ = "Z"
grtypY = "Y"
grtyp = grtyp.upper().strip()
if grtyp == 'Z' or grtyp == '#':
if grtyp == '#':
i0b = i0-1
j0b = j0-1
gdid = _rmn.ezgdef_fmem(ni, nj, grtypZ, grref, ig1, ig2, ig3, ig4, xs[i0b:, 0], ys[0, j0b:]);
elif grtyp == 'Y':
gdid = _rmn.ezgdef_fmem(ni, nj, grtypY, grref, ig1, ig2, ig3, ig4, xs[i0b:, j0b:], ys[i0b:, j0b:]);
else:
gdid = _rmn.ezqkdef(ni, nj, grtyp, ig1, ig2, ig3, ig4);
return gdid
def _getGridHandle(ni, nj, grtyp, grref, ig1, ig2, ig3, ig4, i0, j0, xs, ys):
## if (_isGridValid(ni, nj, grtyp, grref, ig1, ig2, ig3, ig4, i0, j0, xs, ys)>=0) #TODO
gdid = -1
i0b = 0
j0b = 0
grtypZ = "Z"
grtypY = "Y"
grtyp = grtyp.upper().strip()
if grtyp == 'Z' or grtyp == '#':
if grtyp == '#':
i0b = i0-1
j0b = j0-1
gdid = _rmn.ezgdef_fmem(ni, nj, grtypZ, grref, ig1, ig2, ig3, ig4, xs[i0b:, 0], ys[0, j0b:]);
elif grtyp == 'Y':
gdid = _rmn.ezgdef_fmem(ni, nj, grtypY, grref, ig1, ig2, ig3, ig4, xs[i0b:, j0b:], ys[i0b:, j0b:]);
else:
gdid = _rmn.ezqkdef(ni, nj, grtyp, ig1, ig2, ig3, ig4);
return gdid
def test_12(self):
"""
Defining Grids
Grids can be defined from
* a record in a FSTD file or
* directly by providing parameters.
These grids parameters can be used to geolocate the data points and
for interpolation operations (see below).
See also:
"""
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')
# Define a grid from parameters, a cylindrical equidistant (LatLon) grid with 0.5 deg spacing.
paramsL = {
'grtyp' : 'L', # Cylindrical equidistant projection
'ni' : 90, # Grid dimension: 90 by 45 points
'nj' : 45,
'lat0' : 0., # Grid lower-left (south-west) corner (point 1,1) is located at 0N, 180E
'lon0' : 180.,
'dlat' : 0.5,# The grid has a resolution (grid spacing) of 0.5 deg. on both axes
'dlon' : 0.5
}
try:
gridL = rmn.encodeGrid(paramsL)
except:
raise rmn.FSTDError("Problem defining a grid with provided parameters: %s " % str(paramsL))
# Get a grid definition from a record in a FSTD file
try:
fileId = rmn.fstopenall(fileName, rmn.FST_RO)
prKey = rmn.fstinf(fileId, nomvar='PR')['key']
prMeta = rmn.fstprm(prKey) # Get the record metadata along with partial grid info
prMeta['iunit'] = fileId
prGrid0 = rmn.ezqkdef(prMeta) # use ezscint to retreive full grid info
prGrid = rmn.decodeGrid(prGrid0) # Decode all the grid parameters values
rmn.fstcloseall(fileId)
except:
raise rmn.FSTDError("Problem getting PR record grid meta from file: %s" % fileName)
def getMeta(filePath, level, spc):
try:
fileID = rmn.fstopenall(filePath,rmn.FST_RO)
dataKey = rmn.fstinf(fileID,nomvar=spc,ip1=level)['key']
dataRec = rmn.fstluk(dataKey)
# get the concentration data
concData = dataRec['d']
fileMeta = rmn.fstprm(dataKey)
fileMeta['iunit'] = fileID
gridData = rmn.ezqkdef(fileMeta)
gridDecode = rmn.decodeGrid(gridData)
# get the lonlat data
llGridData = rmn.gdll(gridData)
latData = llGridData['lat']
lonData = llGridData['lon']
return concData, lonData.tolist(), latData.tolist()
except:
print('Could not read file.')
pass
def readRec(fname, nomvar):
"""
Read specified record data from file and get its grid definition
Args:
fname (str): Filename to read from
nomvar (str): Record varname to read
Returns:
rec : Record meta, data and grid definition
"""
print("+ Read %s from: %s" % (nomvar, fname))
# Open File
try:
funit = rmn.fstopenall(fname, rmn.FST_RO)
except:
raise rmn.FSTDError("Problem Opening file: %s" % fname)
# Read Record data and meta
try:
rec = rmn.fstlir(funit, nomvar=nomvar)
except:
raise rmn.FSTDError("Problem Reading %s record" % nomvar)
# Get associated grid
try:
rec['iunit'] = funit
rec_gridid = rmn.ezqkdef(rec) # use ezscint to get grid id
rec['grid'] = rmn.decodeGrid(rec_gridid)
del (rec['iunit']
) # iunit will be irrelevant after file is closed below
except:
sys.stderr.write('Error: Problem getting grid info for ' + nomvar +
' in file: ' + fname + '\n')
sys.exit(1)
# Close File
rmn.fstcloseall(funit)
return rec
def getConc(filePath, level, spc):
""" Get the concentration data for an FST file.
Returns the data in an array, the datakey as a key and the fileID of the FST file.
"""
try:
fileID = rmn.fstopenall(filePath,rmn.FST_RO)
dataKey = rmn.fstinf(fileID,nomvar=spc,ip1=level)['key']
dataRec = rmn.fstluk(dataKey)
concData = dataRec['d']
fileMeta = rmn.fstprm(dataKey)
fileMeta['iunit']=fileID
gridData = rmn.ezqkdef(fileMeta)
llGridData = rmn.gdll(gridData)
print ('File {} recorded'.format(filePath))
rmn.fstcloseall(fileID)
return concData,llGridData
except TypeError:
# log an error into the log file
#logging.warning('nomvar {} and ip1 {} could not be found for file {}.'.format(fileID, spc, level, filePath))
return None
def readRec(fname, nomvar):
"""
Read specified record data from file and get its grid definition
Args:
fname (str): Filename to read from
nomvar (str): Record varname to read
Returns:
rec : Record meta, data and grid definition
"""
print("+ Read %s from: %s" % (nomvar, fname))
# Open File
try:
funit = rmn.fstopenall(fname, rmn.FST_RO)
except:
raise rmn.FSTDError("Problem Opening file: %s" % fname)
# Read Record data and meta
try:
rec = rmn.fstlir(funit, nomvar=nomvar)
except:
raise rmn.FSTDError("Problem Reading %s record" % nomvar)
# Get associated grid
try:
rec['iunit'] = funit
rec_gridid = rmn.ezqkdef(rec) # use ezscint to get grid id
rec['grid'] = rmn.decodeGrid(rec_gridid)
del(rec['iunit']) # iunit will be irrelevant after file is closed below
except:
sys.stderr.write('Error: Problem getting grid info for '+nomvar+' in file: '+fname+'\n')
sys.exit(1)
# Close File
rmn.fstcloseall(funit)
return rec
def test_ezqkdef_file_error(self):
funit = -1
(ni,nj) = (201,100)
gp = {
'shape' : (ni,nj),
'ni' : ni,
'nj' : nj,
'grtyp' : 'Z',
'ig1' : 2002,
'ig2' : 1000,
'ig3' : 0,
'ig4' : 0,
'grref' : 'E',
'ig1ref' : 900,
'ig2ref' : 0,
'ig3ref' : 43200,
'ig4ref' : 43200,
'iunit' : funit
}
try:
gid1 = rmn.ezqkdef(gp)
self.assertTrue(False, 'ezqkdef should raise a error with ref grid and invalid file unit')
except rmn.EzscintError:
pass
def get_model(overpass,
lonArray,
latArray,
fst_dir,
ctrl_dir=None,
var='AF',
threshold=4,
filestart=00):
if filestart == 12:
file_time = (overpass if overpass.minute < 30 else overpass +
datetime.timedelta(hours=1)) - datetime.timedelta(
hours=12)
file_path = "{0}/{1}".format(os.path.abspath(fst_dir),
file_time.strftime('%Y%m%d12_0%H'))
elif filestart == 0:
file_time = (overpass if overpass.minute < 30 else overpass +
datetime.timedelta(hours=1))
file_path = "{0}/{1}".format(os.path.abspath(fst_dir),
file_time.strftime('%Y%m%d00_0%H'))
rmn.fstopt(rmn.FSTOP_MSGLVL, rmn.FSTOPI_MSG_CATAST)
rmn.ezsetopt(rmn.EZ_OPT_INTERP_DEGREE, rmn.EZ_INTERP_NEAREST)
fid = rmn.fstopenall(file_path, rmn.FST_RO)
lonarr = np.array(lonArray, dtype='float32')
latarr = np.array(latArray, dtype='float32')
keylist = rmn.fstinl(fid, nomvar=var)
dir = os.path.abspath(fst_dir)
ctrl_dir = os.path.abspath(ctrl_dir) if ctrl_dir else None
# assuming this for now
ref_lvl = 'sea'
height = [float('-inf')] * len(lonarr)
value = [float('-inf')] * len(lonarr)
points = [{} for _ in lonarr]
iplist = []
for key in keylist:
meta = rmn.fstprm(key)
iplist.append(
rmn.DecodeIp(meta['ip1'], meta['ip2'], meta['ip3'])[0].v1)
sorted_keylist = (x for _, x in sorted(zip(iplist, keylist), reverse=True))
next(sorted_keylist, None)
before_val = [float('inf')] * len(lonarr)
cur_meta, cur_grid, cur_xypos, cur_val = data_from_key(
next(sorted_keylist), fid, lonarr, latarr)
if ctrl_dir:
if filestart == 12:
ctrl_path = "{0}/{1}".format(os.path.abspath(ctrl_dir),
file_time.strftime('%Y%m%d12_0%H'))
elif filestart == 0:
ctrl_path = "{0}/{1}".format(os.path.abspath(ctrl_dir),
file_time.strftime('%Y%m%d00_0%H'))
ctrl_fid = rmn.fstopenall(ctrl_path, rmn.FST_RO)
ctrl_keylist = rmn.fstinl(ctrl_fid, nomvar=var)
sorted_ctrl_keylist = (
x for _, x in sorted(zip(iplist, ctrl_keylist), reverse=True))
next(sorted_ctrl_keylist, None)
_, _, _, ctrl_val = data_from_key(next(sorted_ctrl_keylist), ctrl_fid,
lonarr, latarr)
cur_val -= ctrl_val
for progress_ind, after_key in enumerate(sorted_keylist):
after_meta, after_grid, after_xypos, after_val = data_from_key(
after_key, fid, lonarr, latarr)
if ctrl_dir:
after_ctrl_key = next(sorted_ctrl_keylist)
_, _, _, after_ctrl_val = data_from_key(after_ctrl_key, ctrl_fid,
lonarr, latarr)
after_val -= after_ctrl_val
for ind, val in enumerate(cur_val):
if ((val > before_val[ind]) and (val > after_val[ind])
and (val >= threshold) and (val > value[ind])):
try:
if int(ind) <= 20:
print(
'Updating GZ, val: {}, existing val: {}'.format(
val, value[ind]), ind, cur_meta['ip1'])
gzkey = rmn.fstinf(fid, nomvar='GZ',
ip1=cur_meta['ip1'])['key']
gzdata = rmn.fstluk(gzkey)['d']
meta = rmn.fstprm(gzkey)
meta['iunit'] = fid
gz_grid = rmn.ezqkdef(meta)
heightList = rmn.gdxysval(gz_grid, cur_xypos['x'],
cur_xypos['y'], gzdata) * 10
height[ind] = float(heightList[ind])
value[ind] = float(val)
#print (height[ind], ind)
print(height, value)
except TypeError:
continue
before_val = cur_val
cur_meta, cur_grid, cur_xypos, cur_val = after_meta, after_grid, after_xypos, after_val
print height
rmn.fstcloseall(fid)
if ctrl_dir:
rmn.fstcloseall(ctrl_fid)
#print(height)
return height, value
>>>
>>> len(xlist)
495624
>>> len(ylist)
495624
>>>
>>> fileMeta = rmn.fstprm(dataKey)
>>> fileMeta['iunit']
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
KeyError: 'iunit'
>>> fileMeta['iunit']=fileID
>>> gridData = rmn.ezqkdef(fileMeta)
Read(999) ^^ X GM_DEV 1 642 1 363996800 60193 56056 1 0 0 E 32 E 1470 560 54400 46560
Read(999) >> X GM_DEV 772 1 1 363996800 60193 56056 1 0 0 E 32 E 1470 560 54400 46560
>>> gridDecode = rmn.decodeGrid(gridData)
>>> gridDecode
{'tag1': 40749, 'tag2': 67634, 'xlon1': 250.0, 'xlon2': 291.0, 'ig2ref': 560, 'shape': (772, 642), 'grref': 'E', 'xlat1': 57.0, 'ax': array([[ 148.05000305],
[ 148.13999939],
[ 148.22999573],
[ 148.32000732],
[ 148.41000366],
[ 148.5 ],
[ 148.58999634],
[ 148.68000793],
[ 148.77000427],
[ 148.86000061],
[ 148.94999695],
# Open and Read RPN STD file
try:
rmn.fstopt(rmn.FSTOP_MSGLVL, rmn.FSTOPI_MSG_CATAST)
funit = rmn.fstopenall(options.fstfile, rmn.FST_RO)
k = rmn.fstinf(funit, nomvar=options.varname)['key']
data = rmn.fstluk(k)['d']
meta = rmn.fstprm(k)
except:
raise rmn.RMNError('Problem opening/reading var=%s in File=%s' %
(options.varname, options.fstfile))
# Define input record grid
try:
meta['iunit'] = funit
grid = rmn.ezqkdef(meta)
except:
raise rmn.RMNError(
'Problem defining input grid for var=%s in File=%s' %
(options.varname, options.fstfile))
# Read lat lon file
try:
(lon, lat) = np.loadtxt(options.lolafile,
dtype=np.float32,
unpack=True)
## lat = np.asfortranarray(lat, dtype=np.float32)
## lon = np.asfortranarray(lon, dtype=np.float32)
except:
raise IOError('Problem reading the lola file: %s' % (options.lolafile))
def test_13(self):
"""
Interpolating Data
Interpolating data to/from known FSTD grids is made easy with the Ezscint package.
There are a few exceptions though
* you can only interpolate to a Y grid, not from it.
* multi-parts grids (Yin-Yang, ...) have to be dealth with in a special way (see below)
In this example we'll interpolate forecast data onto the analysis grid to make some computations
See also:
"""
import os
import rpnpy.librmn.all as rmn
ATM_MODEL_DFILES = os.getenv('ATM_MODEL_DFILES')
fileName0 = os.path.join(ATM_MODEL_DFILES.strip(),
'bcmk/2009042700_000') #Analysis
fileName1 = os.path.join(ATM_MODEL_DFILES.strip(),
'bcmk/2009042700_012') #Forecast
# Get data and grid definition for P0 in the 1st FSTD file
try:
fileId = rmn.fstopenall(fileName0, rmn.FST_RO)
p0Data1 = rmn.fstlir(
fileId, nomvar='P0'
) # Get the record data and metadata along with partial grid info
p0Data1['iunit'] = fileId
p0GridId = rmn.ezqkdef(
p0Data1) # use ezscint to retreive a grid id
p0Grid1 = rmn.decodeGrid(
p0GridId) # Decode all the grid parameters values
rmn.fstcloseall(fileId)
except:
raise rmn.FSTDError(
"Problem getting P0 record grid meta from file: %s" %
fileName0)
# Get data and grid definition for P0 in the 2nd FSTD file
try:
fileId = rmn.fstopenall(fileName1, rmn.FST_RO)
p0Data2 = rmn.fstlir(
fileId, nomvar='P0', ip2=12
) # Get the record data and metadata along with partial grid info
p0Data2['iunit'] = fileId
p0GridId = rmn.ezqkdef(
p0Data2) # use ezscint to retreive a grid id
p0Grid2 = rmn.decodeGrid(
p0GridId) # Decode all the grid parameters values
rmn.fstcloseall(fileId)
except:
raise rmn.FSTDError(
"Problem getting P0 record grid meta from file: %s " %
fileName1)
# Make a cubic interpolation of p0Data2 onto p0Grid1 with extrapolated values set to Minvalue of the field
rmn.ezsetopt(rmn.EZ_OPT_EXTRAP_DEGREE, rmn.EZ_EXTRAP_MIN)
rmn.ezsetopt(rmn.EZ_OPT_INTERP_DEGREE, rmn.EZ_INTERP_LINEAR)
p0Data2_onGrid1 = rmn.ezsint(p0Grid1['id'], p0Grid2['id'],
p0Data2['d'])
# Make some computation
p0Diff = p0Data2_onGrid1 - p0Data1['d']
def getGrid(dataKey, fileID):
fileMeta = rmn.fstprm(dataKey)
fileMeta['iunit'] = fileID
gridID = rmn.ezqkdef(fileMeta)
return gridID
level = 76696048
###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']
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')
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)
sys.exit(1)
# Open and Read RPN STD file
try:
rmn.fstopt(rmn.FSTOP_MSGLVL, rmn.FSTOPI_MSG_CATAST)
funit = rmn.fstopenall(options.fstfile,rmn.FST_RO)
k = rmn.fstinf(funit,nomvar=options.varname)['key']
data = rmn.fstluk(k)['d']
meta = rmn.fstprm(k)
except:
raise rmn.RMNError('Problem opening/reading var=%s in File=%s' % (options.varname,options.fstfile))
# Define input record grid
try:
meta['iunit'] = funit
grid = rmn.ezqkdef(meta)
except:
raise rmn.RMNError('Problem defining input grid for var=%s in File=%s' % (options.varname,options.fstfile))
# Read lat lon file
try:
(lon,lat) = np.loadtxt(options.lolafile, dtype=np.float32, unpack=True)
## lat = np.asfortranarray(lat, dtype=np.float32)
## lon = np.asfortranarray(lon, dtype=np.float32)
except:
raise IOError('Problem reading the lola file: %s' % (options.lolafile))
# Interpolate input data to lat lon and print
rmn.ezsetopt(rmn.EZ_OPT_INTERP_DEGREE,inttypelist[inttype])
#rmn.ezsetopt(rmn.EZ_OPT_EXTRAP_DEGREE,rmn.EZ_EXTRAP_MAX)
