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()