def example_2pvu():
# fpath = '/arctic1/nick/cases/v1.0/x4/august/kf/v1.1/x4.kf.output.2006-08-01_00.00.00.nc'
fpath = "/arctic1/nick/cases/v1.0/x4/august/tiedtke/v1.1/x4.t.output.2006-08-08_00.00.00.nc"
# fpath = '/arctic1/nick/cases/v1.0/x4/august/kf/v1.1/x4.kf.output.2006-08-08_00.00.00.nc'
# fnames = searchFiles()
# for iFile, fpath in enumerate(fnames):
data = output_data.open_netcdf_data(fpath)
for timeInd in xrange(0, 28, 4):
# for timeInd in [0]:
# open the output vtk file and write header, nodes, and cells
vtkfname = "x4_t_2006-08-01_1day." + str(28 + timeInd) + ".vtk"
# vtkfname = 'x4_cfsr_2006-07-25_1day.'+str(iFile)+'.vtk'
fvtk = output_data.write_vtk_header_polydata(vtkfname, fpath)
# fvtk = open(vtkfname,'w'); nCells = 163842
nNodes = output_data.write_vtk_xyzNodes(fvtk, data)
nCells = output_data.write_vtk_polygons(fvtk, data)
# write some cell dataa
fvtk.write("\nCELL_DATA " + str(nCells) + "\n")
# calc values
# timeInd = 0
epv_ht, theta_trop = calc_height_theta_2PVU(data, timeInd)
output_data.write_levelData_float("ht_2pvu", fvtk, epv_ht, nCells)
output_data.write_levelData_float("theta_2pvu", fvtk, theta_trop, nCells)
fvtk.close()
data.close()
def derivedSfcs(ncfname, vtkfname):
#write some derived surfaces to file
data = output_data.open_netcdf_data(ncfname)
#header info
fvtk = output_data.write_vtk_header_polydata(vtkfname, ncfname)
nNodes = output_data.write_vtk_xyzNodes(fvtk, data)
nCells = output_data.write_vtk_polygons(fvtk, data)
nLevels = len(data.dimensions['nVertLevels'])
#cell data
fvtk.write('\nCELL_DATA '+str(nCells)+'\n')
#geo for reference
output_data.write_vtk_staticGeoFields(f,data,nCells)
time = 0
#500 mb
output_data.write_vtk_pressureHeights(fvtk, data, nCells, time, vLevels, 50000.)
#theta on dynamic tropopause
pv = np.empty((nCells,nLevels), dtype=float)
for hcell in range(nCells):
for l in range(nLevels):
pv[hcell,l] = vars.calc_ertelPV(data, 'theta', time, hcell, l, nLevels)
#
pvuVal = 2.
thetaVal = np.empty(nCells)
for hcell in range(nCells):
(l,dl) = output_data.calcIndexOfValue(pvuVal,pv[hcell,:], nLevels)
thetaVal[hcell] = output_data.calcValueOfIndex(l,dl,data.variables['theta'][time,hcell,:])
output_data.write_levelData_float('theta_pv', fvtk, thetaVal, nCells)
#slp
slp = np.empty(nCells)
for hcell in range(nCells):
slp[hcell] = vars.calc_slp(data, hcell, nLevels, time)
output_data.write_levelData_float('slp', fvtk, slp, nCells)
#close da files
fvtk.close()
data.close()
def driver_arctic():
#plot epv on a polar cap
ncfname = '/arctic1/nick/cases/163842/testDuda/x1.163842.output.2006-07-15_00.00.00.nc'
#ncfname = '/arctic1/mduda/60km/x1.163842.output.2006-07-08_00.00.00.nc'
#ncfname = '/home/nickszap/research/mpas/output.2010-10-23_00:00:00.nc'
data = netCDF4.Dataset(ncfname,'r')
nCellsTotal = len(data.dimensions['nCells'])
nVerticesTotal = len(data.dimensions['nVertices']);
nLevels = len(data.dimensions['nVertLevels'])
nEdgesOnCell = data.variables['nEdgesOnCell'][:];
cellsOnCell = data.variables['cellsOnCell'][:]-1;
latThresh = 45.*np.pi/180.
#latThresh = 70.*np.pi/180.
latCell = data.variables['latCell'][:]
cells = conn.gatherArcticCells(latCell, nCellsTotal, latThresh)
nCells = len(cells)
#open the output vtk file and write header.
vtkfname = 'test.arctic.pv_approx.vtk'
fvtk = output_data.write_vtk_header_polydata(vtkfname, ncfname)
#write nodes and cells
output_data.write_vtk_polyHorizConn_domain(data, fvtk, cells, nEdgesOnCell,nVerticesTotal)
#cell values and connectivity for this domain
haloCells = conn.get_arcticHalo(cells, latCell, latThresh, cellsOnCell, nEdgesOnCell)
g2lCell = conn.make_global2localMap(cells, haloCells, nCellsTotal)
c2c = conn.make_localDomainNbrs(nCells, cellsOnCell[cells,:], nEdgesOnCell[cells], g2lCell)
neededCells = cells.tolist(); neededCells.extend(haloCells) #has to be domain then halo (as in g2l map)
#I'm having memory errors.
#gc.collect()
#load data for domain and halo -----------------------------
timeInd = 0
print "Loading data for domain {0} with {1} cells\n".format('arctic', len(neededCells))
#print neededCells
state = loadFields(data, timeInd, neededCells, nLevels)
#compute derived variables -------------------------------
#theta on dynamic tropopause
pv = np.empty((nCells,nLevels), dtype=float)
#make_localDomainNbrs(nCells, cellsOnCell_local, nEdgesOnCell_local, g2lMap)
for hCell in xrange(nCells):
hNbrs = c2c[hCell,0:nEdgesOnCell[cells[hCell]]]
pvColumn = driverErtel(state, hCell, hNbrs, nLevels)
#pvColumn = driverErtel_column(state, hCell, hNbrs, nLevels)
for l in range(nLevels):
pv[hCell,l] = pvColumn[l]
#
pvuVal = 2.; #pv = np.abs(pv) #don't need questionable hack for southern hemisphere
thetaVal = np.empty(nCells)
for hCell in xrange(nCells):
(l,dl) = output_data.calcIndexOfValue(pvuVal,pv[hCell,:], nLevels)
thetaVal[hCell] = output_data.calcValueOfIndex(l,dl,state.theta[hCell,:])
#write some cell data ----------------
fvtk.write('\nCELL_DATA '+str(nCells)+'\n')
output_data.write_levelData_float('theta_2pvu', fvtk, thetaVal, nCells)
fvtk.close()
data.close()
def driver_domains(nSeeds):
#
ncfname = '/arctic1/mduda/60km/x1.163842.output.2006-07-09_12.00.00.nc'
#ncfname = '/home/nickszap/research/mpas/output.2010-10-23_00:00:00.nc'
data = netCDF4.Dataset(ncfname,'r')
nCellsTotal = len(data.dimensions['nCells'])
nVerticesTotal = len(data.dimensions['nVertices']);
nLevels = len(data.dimensions['nVertLevels'])
nEdgesOnCell = data.variables['nEdgesOnCell'][:];
cellsOnCell = data.variables['cellsOnCell'][:]-1;
seed0 = 0
#seed0 = np.argmax(data.variables['meshDensity'][:]) #seems like a decent heuristic
cell2Site,seeds = conn.partition_max(seed0, cellsOnCell, nEdgesOnCell,nCellsTotal, nSeeds)
for domainInd in xrange(nSeeds):
#output domain mesh ------------------------
cells = np.array(xrange(nCellsTotal))[cell2Site==seeds[domainInd]]
nCells = len(cells)
#open the output vtk file and write header.
vtkfname = 'test'+str(domainInd)+'.vtk'
fvtk = output_data.write_vtk_header_polydata(vtkfname, ncfname)
#write nodes and cells
output_data.write_vtk_polyHorizConn_domain(data, fvtk, cells, nEdgesOnCell,nVerticesTotal)
#cell values and connectivity for this domain
haloCells = conn.getHalo(seeds[domainInd], cell2Site, cellsOnCell, nEdgesOnCell, nCellsTotal)
g2lCell = conn.make_global2localMap(cells, haloCells, nCellsTotal)
c2c = conn.make_localDomainNbrs(nCells, cellsOnCell[cells,:], nEdgesOnCell[cells], g2lCell)
neededCells = cells.tolist(); neededCells.extend(haloCells) #has to be domain then halo (as in g2l map)
#I'm having memory errors.
#gc.collect()
#load data for domain and halo -----------------------------
timeInd = 0
print "Loading data for domain {0} with {1} cells\n".format(domainInd, len(neededCells))
#print neededCells
state = loadFields(data, timeInd, neededCells, nLevels)
#compute derived variables -------------------------------
#theta on dynamic tropopause
pv = np.empty((nCells,nLevels), dtype=float)
#make_localDomainNbrs(nCells, cellsOnCell_local, nEdgesOnCell_local, g2lMap)
for hCell in xrange(nCells):
hNbrs = c2c[hCell,0:nEdgesOnCell[cells[hCell]]]
pvColumn = driverErtel(state, hCell, hNbrs, nLevels)
for l in range(nLevels):
pv[hCell,l] = pvColumn[l]
#
pvuVal = 2.; pv = np.abs(pv) #questionable hack for southern hemisphere
thetaVal = np.empty(nCells)
for hCell in range(nCells):
(l,dl) = output_data.calcIndexOfValue(pvuVal,pv[hCell,:], nLevels)
thetaVal[hCell] = output_data.calcValueOfIndex(l,dl,state.theta[hCell,:])
#write some cell data ----------------
fvtk.write('\nCELL_DATA '+str(nCells)+'\n')
output_data.write_levelData_float('theta_2pvu', fvtk, thetaVal, nCells)
fvtk.close()
data.close()
