tflowlineslab.py - pism - [fork] customized build of PISM, the parallel ice sheet model (tillflux branch) (HTM) git clone git://src.adamsgaard.dk/pism (DIR) Log (DIR) Files (DIR) Refs (DIR) LICENSE --- tflowlineslab.py (1364B) --- 1 #!/usr/bin/env python3 2 3 # creates an example flowline data set "slab.nc" which can be used with 4 # flowline.py to show how to run PISM in flow-line mode 5 6 # see the "Using PISM for flow-line modeling" subsection of the Users Manual 7 8 # We recommend creating more metadata-rich datasets than is done here. 9 # Here we generate the bare minimum to work with flowline.py and PISM. 10 11 from numpy import linspace, minimum, maximum, abs 12 import netCDF4 13 14 Lx = 1000e3 # 1000 km 15 Mx = 501 16 topg_slope = -1e-4 17 thk_0 = 1e3 # meters 18 climatic_mass_balance_0 = 0 # kg m-2 s-1 19 ice_surface_temp_0 = -10 # Celsius 20 21 nc = netCDF4.Dataset("slab.nc", 'w') 22 nc.createDimension('x', Mx) 23 24 x = nc.createVariable('x', 'f4', ('x',)) 25 topg = nc.createVariable('topg', 'f4', ('x',)) 26 thk = nc.createVariable('thk', 'f4', ('x',)) 27 climatic_mass_balance = nc.createVariable('climatic_mass_balance', 'f4', ('x',)) 28 ice_surface_temp = nc.createVariable('ice_surface_temp', 'f4', ('x',)) 29 30 x[:] = linspace(-Lx, Lx, Mx) 31 x.units = "m" 32 topg[:] = topg_slope * (x[:] - Lx) 33 topg.units = "m" 34 35 thk[:] = maximum(minimum(5e3 - abs(x[:]) * 0.01, thk_0), 0) 36 thk.units = "m" 37 38 climatic_mass_balance[:] = climatic_mass_balance_0 39 climatic_mass_balance.units = "kg m-2 s-1" 40 ice_surface_temp[:] = ice_surface_temp_0 41 ice_surface_temp.units = "Celsius" 42 43 nc.close()