def remap_clm(src_file, src_varname, src_grd, dst_grd, dxy=20, cdepth=0, kk=0, dst_dir='./'):

    # get time
    nctime.long_name = 'time'
    nctime.units = 'days since 1900-01-01 00:00:00'
    # time reference "days since 1900-01-01 00:00:00"
#    ref = datetime(1900, 1, 1, 0, 0, 0)
#    ref = date2num(ref)
#    tag = src_file.rsplit('/')[-1].rsplit('_')[-2].rsplit('-')[0]
#    print tag
#    year = int(tag[:4])
#    month = int(tag[4:6])
#    day = int(tag[6:])
#    time = datetime(year, month, day, 0, 0, 0)
#    time = date2num(time)
#    time = time - ref
#    time = time + 2.5 # 5-day average
    cdf = netCDF.Dataset(src_file)
    src_var = cdf.variables[src_varname][0]
    time = cdf.variables['ocean_time'][0]


    # create IC file
    dst_file = src_file.rsplit('/')[-1]
    dst_file = dst_dir + dst_file[:-3] + '_' + src_varname + '_clim_' + dst_grd.name + '.nc'
    print '\nCreating file', dst_file
    if os.path.exists(dst_file) is True:
        os.remove(dst_file)
    pyroms_toolbox.nc_create_roms_file(dst_file, dst_grd, nctime)

    # open IC file
    nc = netCDF.Dataset(dst_file, 'a', format='NETCDF3_64BIT')

    #load var
    cdf = netCDF.Dataset(src_file)
    src_var = cdf.variables[src_varname]

    #get missing value
    spval = src_var._FillValue
    src_var = src_var[0]

    # determine variable dimension
    #ndim = len(src_var.dimensions)
    ndim = len(src_var.shape)

    if src_varname == 'ssh':
        pos = 't'
        Cpos = 'rho'
        z = src_grd.z_t
        Mp, Lp = dst_grd.hgrid.mask_rho.shape
        wts_file = 'remap_weights_GLBa0.08_to_PALAU1_bilinear_t_to_rho.nc'
        dst_varname = 'zeta'
        dimensions = ('ocean_time', 'eta_rho', 'xi_rho')
        long_name = 'free-surface'
        units = 'meter'
        field = 'free-surface, scalar, series'
	vartime = 'ocean_time'
    elif src_varname == 'temp':
        pos = 't'
        Cpos = 'rho'
        z = src_grd.z_t
        Mp, Lp = dst_grd.hgrid.mask_rho.shape
        wts_file = 'remap_weights_GLBa0.08_to_PALAU1_bilinear_t_to_rho.nc'
        dst_varname = 'temp'
        dimensions = ('ocean_time', 's_rho', 'eta_rho', 'xi_rho')
        long_name = 'potential temperature'
        units = 'Celsius'
        field = 'temperature, scalar, series'
	vartime = 'ocean_time'
    elif src_varname == 'salt':
        pos = 't'
        Cpos = 'rho'
        z = src_grd.z_t
        Mp, Lp = dst_grd.hgrid.mask_rho.shape
        wts_file = 'remap_weights_GLBa0.08_to_PALAU1_bilinear_t_to_rho.nc'
        dst_varname = 'salt'
        dimensions = ('ocean_time', 's_rho', 'eta_rho', 'xi_rho')
        long_name = 'salinity'
        units = 'PSU'
        field = 'salinity, scalar, series'
	vartime = 'ocean_time'
    else:
        raise ValueError, 'Undefined src_varname'


    if ndim == 3:
        # build intermediate zgrid
        zlevel = -z[::-1,0,0]
        nzlevel = len(zlevel)
        dst_zcoord = pyroms.vgrid.z_coordinate(dst_grd.vgrid.h, zlevel, nzlevel)
        dst_grdz = pyroms.grid.ROMS_Grid(dst_grd.name+'_Z', dst_grd.hgrid, dst_zcoord)


    # create variable in file
    print 'Creating variable', dst_varname
    nc.createVariable(dst_varname, 'f8', dimensions, fill_value=spval)
    nc.variables[dst_varname].long_name = long_name
    nc.variables[dst_varname].units = units
    nc.variables[dst_varname].field = field
    nc.variables[dst_varname].time = vartime
#.........这里部分代码省略.........

#.........这里部分代码省略.........

    # srcfile argument
    if type(srcfile).__name__ == "list":
        nfile = len(srcfile)
    elif type(srcfile).__name__ == "str":
        srcfile = sorted(glob.glob(srcfile))
        nfile = len(srcfile)
    else:
        raise ValueError, "src_srcfile must be a str or a list of str"

    # get wts_file
    if type(wts_files).__name__ == "str":
        wts_files = sorted(glob.glob(wts_files))

    # loop over the srcfile
    for nf in range(nfile):
        print "Working with file", srcfile[nf], "..."

        # get time
        ocean_time = pyroms.utility.get_nc_var("ocean_time", srcfile[nf])
        ntime = len(ocean_time[:])

        # trange argument
        if trange is None:
            trange = range(ntime)
        else:
            trange = range(trange[0], trange[1] + 1)

        # create destination file
        dstfile = dstdir + os.path.basename(srcfile[nf])[:-3] + "_" + dstgrd.name + ".nc"
        print "Creating destination file", dstfile
        if os.path.exists(dstfile) is True:
            os.remove(dstfile)
        pyroms_toolbox.nc_create_roms_file(dstfile, dstgrd, ocean_time)

        # open destination file
        nc = netCDF.Dataset(dstfile, "a", format="NETCDF3_CLASSIC")

        nctidx = 0
        # loop over time
        for nt in trange:

            nc.variables["ocean_time"][nctidx] = ocean_time[nt]

            # loop over variable
            for nv in range(nvar):
                print " "
                print "remapping", varname[nv], "from", srcgrd.name, "to", dstgrd.name
                print "time =", ocean_time[nt]

                # get source data
                src_var = pyroms.utility.get_nc_var(varname[nv], srcfile[nf])

                # determine variable dimension
                ndim = len(src_var.dimensions) - 1

                # get spval
                try:
                    spval = src_var._FillValue
                except:
                    raise Warning, "Did not find a _FillValue attribute."

                # irange
                if irange is None:
                    iirange = (0, src_var._shape()[-1])
                else:

def remap_bdry_uv(src_file, src_grd, dst_grd, dxy=20, cdepth=0, kk=2, dst_dir='./'):

    # get time
    nctime.long_name = 'time'
    nctime.units = 'days since 1900-01-01 00:00:00'

    # get dimensions
    Mp, Lp = dst_grd.hgrid.mask_rho.shape

    # create destination file
    dst_file = src_file.rsplit('/')[-1]
    dst_fileu = dst_dir + dst_file[:-3] + '_u_bdry_' + dst_grd.name + '.nc'
    print '\nCreating destination file', dst_fileu
    if os.path.exists(dst_fileu) is True:
        os.remove(dst_fileu)
    pyroms_toolbox.nc_create_roms_file(dst_fileu, dst_grd, nctime)
    dst_filev = dst_dir + dst_file[:-3] + '_v_bdry_' + dst_grd.name + '.nc'
    print 'Creating destination file', dst_filev
    if os.path.exists(dst_filev) is True:
        os.remove(dst_filev)
    pyroms_toolbox.nc_create_roms_file(dst_filev, dst_grd, nctime)

    # open destination file
    ncu = netCDF.Dataset(dst_fileu, 'a', format='NETCDF3_64BIT')
    ncv = netCDF.Dataset(dst_filev, 'a', format='NETCDF3_64BIT')

    #load var
    cdf = netCDF.Dataset(src_file)
    src_varu = cdf.variables['u']
    src_varv = cdf.variables['v']
    time = cdf.variables['ocean_time'][0]


    #get missing value
    spval = src_varu._FillValue
    src_varu = cdf.variables['u'][0]
    src_varv = cdf.variables['v'][0]

    # get weights file
    wts_file = 'remap_weights_GLBa0.08_to_ARCTIC2_bilinear_t_to_rho.nc'

    # build intermediate zgrid
    zlevel = -src_grd.z_t[::-1,0,0]
    nzlevel = len(zlevel)
    dst_zcoord = pyroms.vgrid.z_coordinate(dst_grd.vgrid.h, zlevel, nzlevel)
    dst_grdz = pyroms.grid.ROMS_Grid(dst_grd.name+'_Z', dst_grd.hgrid, dst_zcoord)

    # create variable in destination file
    print 'Creating variable u_north'
    ncu.createVariable('u_north', 'f8', ('ocean_time', 's_rho', 'xi_u'), fill_value=spval)
    ncu.variables['u_north'].long_name = '3D u-momentum north boundary condition'
    ncu.variables['u_north'].units = 'meter second-1'
    ncu.variables['u_north'].field = 'u_north, scalar, series'

    print 'Creating variable u_south'
    ncu.createVariable('u_south', 'f8', ('ocean_time', 's_rho', 'xi_u'), fill_value=spval)
    ncu.variables['u_south'].long_name = '3D u-momentum south boundary condition'
    ncu.variables['u_south'].units = 'meter second-1'
    ncu.variables['u_south'].field = 'u_south, scalar, series'

    print 'Creating variable u_east'
    ncu.createVariable('u_east', 'f8', ('ocean_time', 's_rho', 'eta_u'), fill_value=spval)
    ncu.variables['u_east'].long_name = '3D u-momentum east boundary condition'
    ncu.variables['u_east'].units = 'meter second-1'
    ncu.variables['u_east'].field = 'u_east, scalar, series'
    print 'Creating variable u_west'
    ncu.createVariable('u_west', 'f8', ('ocean_time', 's_rho', 'eta_u'), fill_value=spval)
    ncu.variables['u_west'].long_name = '3D u-momentum west boundary condition'
    ncu.variables['u_west'].units = 'meter second-1'
    ncu.variables['u_west'].field = 'u_east, scalar, series'

    # create variable in destination file
    print 'Creating variable ubar_north'
    ncu.createVariable('ubar_north', 'f8', ('ocean_time', 'xi_u'), fill_value=spval)
    ncu.variables['ubar_north'].long_name = '2D u-momentum north boundary condition'
    ncu.variables['ubar_north'].units = 'meter second-1'
    ncu.variables['ubar_north'].field = 'ubar_north, scalar, series'

    print 'Creating variable ubar_south'
    ncu.createVariable('ubar_south', 'f8', ('ocean_time', 'xi_u'), fill_value=spval)
    ncu.variables['ubar_south'].long_name = '2D u-momentum south boundary condition'
    ncu.variables['ubar_south'].units = 'meter second-1'
    ncu.variables['ubar_south'].field = 'ubar_south, scalar, series'

    print 'Creating variable ubar_east'
    ncu.createVariable('ubar_east', 'f8', ('ocean_time', 'eta_u'), fill_value=spval)
    ncu.variables['ubar_east'].long_name = '2D u-momentum east boundary condition'
    ncu.variables['ubar_east'].units = 'meter second-1'
    ncu.variables['ubar_east'].field = 'ubar_east, scalar, series'
    print 'Creating variable ubar_west'
    ncu.createVariable('ubar_west', 'f8', ('ocean_time', 'eta_u'), fill_value=spval)
    ncu.variables['ubar_west'].long_name = '2D u-momentum west boundary condition'
    ncu.variables['ubar_west'].units = 'meter second-1'
    ncu.variables['ubar_west'].field = 'ubar_east, scalar, series'


    print 'Creating variable v_north'
    ncv.createVariable('v_north', 'f8', ('ocean_time', 's_rho', 'xi_v'), fill_value=spval)
    ncv.variables['v_north'].long_name = '3D v-momentum north boundary condition'
    ncv.variables['v_north'].units = 'meter second-1'
#.........这里部分代码省略.........

def remap_bdry(src_file, src_varname, src_grd, dst_grd, dmax=0, cdepth=0, kk=0, dst_dir='./'):
    
    ystart=240

    # get time
    nctime.long_name = 'time'
    nctime.units = 'days since 1900-01-01 00:00:00'
    # time reference "days since 1900-01-01 00:00:00"
    ref = datetime(1900, 1, 1, 0, 0, 0)
    ref = date2num(ref)
    tag = src_file.rsplit('/')[-1].rsplit('_')[-1].rsplit('-')[0]
    year = int(tag[:4])
    month = int(tag[4:6])
    day = int(tag[6:])
    time = datetime(year, month, day, 0, 0, 0)
    time = date2num(time)
    time = time - ref
    time = time + 2.5 # 5-day average

    # create boundary file
    dst_file = src_file.rsplit('/')[-1]
    dst_file = dst_dir + dst_file[:-4] + '_' + src_varname + '_bdry_' + dst_grd.name + '.nc'
    print '\nCreating boundary file', dst_file
    if os.path.exists(dst_file) is True:
        os.remove(dst_file)
    pyroms_toolbox.nc_create_roms_file(dst_file, dst_grd, nctime)

    # open boundary file
    nc = netCDF.Dataset(dst_file, 'a', format='NETCDF3_64BIT')

    #load var
    cdf = netCDF.Dataset(src_file) 
    src_var = cdf.variables[src_varname]

    #get missing value
    spval = src_var._FillValue

    # determine variable dimension
    ndim = len(src_var.dimensions)

    # global grid
    if ndim == 3:
        src_var = src_var[:]
        src_var = src_var[:,np.r_[ystart:np.size(src_var,1),-1],:]
    elif ndim == 2:
        src_var = src_var[:]
        src_var = src_var[np.r_[ystart:np.size(src_var,0),-1],:]

    if src_varname == 'ssh':
        Bpos = 't'
        Cpos = 'rho'
        z = src_grd.z_t
        Mp, Lp = dst_grd.hgrid.mask_rho.shape
        wts_file = 'remap_weights_SODA_2.1.6_to_ARCTIC2_bilinear_t_to_rho.nc'
        dst_varname = 'zeta'
        dimensions = ('ocean_time', 'eta_rho', 'xi_rho')
        long_name = 'free-surface'
        dst_varname_north = 'zeta_north'
        dimensions_north = ('ocean_time', 'xi_rho')
        long_name_north = 'free-surface north boundary condition'
        field_north = 'zeta_north, scalar, series'
        dst_varname_south = 'zeta_south'
        dimensions_south = ('ocean_time', 'xi_rho')
        long_name_south = 'free-surface south boundary condition'
        field_south = 'zeta_south, scalar, series'
        dst_varname_east = 'zeta_east'
        dimensions_east = ('ocean_time', 'eta_rho')
        long_name_east = 'free-surface east boundary condition'
        field_east = 'zeta_east, scalar, series'
        dst_varname_west = 'zeta_west'
        dimensions_west = ('ocean_time', 'eta_rho')
        long_name_west = 'free-surface west boundary condition'
        field_west = 'zeta_west, scalar, series'
        units = 'meter'
    elif src_varname == 'temp':
        Bpos = 't'
        Cpos = 'rho'
        z = src_grd.z_t
        Mp, Lp = dst_grd.hgrid.mask_rho.shape
        wts_file = 'remap_weights_SODA_2.1.6_to_ARCTIC2_bilinear_t_to_rho.nc'
        dst_varname = 'temperature'
        dst_varname_north = 'temp_north'
        dimensions_north = ('ocean_time', 's_rho', 'xi_rho')
        long_name_north = 'potential temperature north boundary condition'
        field_north = 'temp_north, scalar, series'
        dst_varname_south = 'temp_south'
        dimensions_south = ('ocean_time', 's_rho', 'xi_rho')
        long_name_south = 'potential temperature south boundary condition'
        field_south = 'temp_south, scalar, series'
        dst_varname_east = 'temp_east'
        dimensions_east = ('ocean_time', 's_rho', 'eta_rho')
        long_name_east = 'potential temperature east boundary condition'
        field_east = 'temp_east, scalar, series'
        dst_varname_west = 'temp_west'
        dimensions_west = ('ocean_time', 's_rho', 'eta_rho')
        long_name_west = 'potential temperature west boundary condition'
        field_west = 'temp_west, scalar, series'
        units = 'Celsius'
    elif src_varname == 'salt':
        Bpos = 't'
#.........这里部分代码省略.........

def remap(src_varname, src_file, src_grd, dst_grd, dst_file, dmax=0, cdepth=0, kk=0, dst_dir='./'):

    # get time
    nctime.long_name = 'time'
    nctime.units = 'days since 1900-01-01 00:00:00'

    # create tide file
    print '\nCreating tide file', dst_file
    if os.path.exists(dst_file) is True:
        os.remove(dst_file)
    pyroms_toolbox.nc_create_roms_file(dst_file, dst_grd, nctime)

    # open tide file
    nc = netCDF.Dataset(dst_file, 'a', format='NETCDF3_64BIT')

    # load var
    cdf = netCDF.Dataset(src_file)
    src_var = cdf.variables[src_varname]

    # get missing value
    spval = src_var.missing_value

    if src_varname == 'h_re':
        z = src_grd.z_t
        Mp, Lp = dst_grd.hgrid.mask_rho.shape
        wts_file = 'remap_weights_' + src_grd.name + '_to_' + dst_grd.name + '_bilinear_t_to_rho.nc'
        dst_varname = 'h_re'
        dimensions = ('ocean_time', 'eta_rho', 'xi_rho')
        long_name = 'tidal constituent amplitude (real)'
        units = 'meter'
        field = 'free-surface, scalar, series'
    if src_varname == 'h_im':
        z = src_grd.z_t
        Mp, Lp = dst_grd.hgrid.mask_rho.shape
        wts_file = 'remap_weights_' + src_grd.name + '_to_' + dst_grd.name + '_bilinear_t_to_rho.nc'
        dst_varname = 'h_im'
        dimensions = ('ocean_time', 'eta_rho', 'xi_rho')
        long_name = 'tidal constituent amplitude (imaginary)'
        units = 'meter'
        field = 'free-surface, scalar, series'

    if src_varname == 'u_re':
        z = src_grd.z_t
        Mp, Lp = dst_grd.hgrid.mask_rho.shape
        wts_file = 'remap_weights_' + src_grd.name + '_to_' + dst_grd.name + '_bilinear_u_to_rho.nc'
        dst_varname = 'h_re'
        dimensions = ('ocean_time', 'eta_rho', 'xi_rho')
        long_name = 'tidal constituent x-velocity (real)'
        units = 'meter per second'
        field = 'x-velocity, scalar, series'
    if src_varname == 'u_im':
        z = src_grd.z_t
        Mp, Lp = dst_grd.hgrid.mask_rho.shape
        wts_file = 'remap_weights_' + src_grd.name + '_to_' + dst_grd.name + '_bilinear_u_to_rho.nc'
        dst_varname = 'u_im'
        dimensions = ('ocean_time', 'eta_rho', 'xi_rho')
        long_name = 'tidal constituent x-velocity (imaginary)'
        units = 'meter per second'
        field = 'x-velocity, scalar, series'

    if src_varname == 'v_re':
        z = src_grd.z_t
        Mp, Lp = dst_grd.hgrid.mask_rho.shape
        wts_file = 'remap_weights_' + src_grd.name + '_to_' + dst_grd.name + '_bilinear_v_to_rho.nc'
        dst_varname = 'v_re'
        dimensions = ('ocean_time', 'eta_rho', 'xi_rho')
        long_name = 'tidal constituent y-velocity (real)'
        units = 'meter per second'
        field = 'y-velocity, scalar, series'
    if src_varname == 'v_im':
        z = src_grd.z_t
        Mp, Lp = dst_grd.hgrid.mask_rho.shape
        wts_file = 'remap_weights_' + src_grd.name + '_to_' + dst_grd.name + '_bilinear_v_to_rho.nc'
        dst_varname = 'v_im'
        dimensions = ('ocean_time', 'eta_rho', 'xi_rho')
        long_name = 'tidal constituent y-velocity (imaginary)'
        units = 'meter per second'
        field = 'y-velocity, scalar, series'

    else:
        raise ValueError, 'Undefined src_varname'

    # create variable in file
    print 'Creating variable', dst_varname
    nc.createVariable(dst_varname, 'f8', dimensions, fill_value=spval)
    # nc.createVariable(dst_varname, 'f8', dimensions)
    nc.variables[dst_varname].long_name = long_name
    nc.variables[dst_varname].units = units
    nc.variables[dst_varname].field = field

    # remapping
    print 'remapping', dst_varname, 'from', src_grd.name, \
              'to', dst_grd.name

    # horizontal interpolation using scrip weights
    print 'horizontal interpolation using scrip weights'
    dst_var = pyroms.remapping.remap(src_var, wts_file, spval=spval)

    # write data in destination file
    print 'write data in destination file\n'
#.........这里部分代码省略.........

def remap_bio_woa(argdict, src_grd, dst_grd, dmax=0, cdepth=0, kk=0, dst_dir='./'):
    
    # NWGOA3 grid sub-sample
    xrange=src_grd.xrange; yrange=src_grd.yrange

    src_varname = argdict['tracer']
    tracer = src_varname
    src_file = argdict['file']
    units = argdict['units']
    longname = argdict['longname']
    nframe = argdict['frame']

    if src_varname == 'sio4':
       src_varname = 'si'

    # get time
    nctime.long_name = 'time'
    nctime.units = 'days since 1900-01-01 00:00:00'

    # create clim file
    dst_file = tracer + '.nc'
    dst_file = dst_dir + dst_grd.name + '_clim_bio_' + dst_file
    print 'Creating clim file', dst_file
    if os.path.exists(dst_file) is True:
        os.remove(dst_file)
    pyroms_toolbox.nc_create_roms_file(dst_file, dst_grd, nctime)

    # open clim file
    nc = netCDF.Dataset(dst_file, 'a', format='NETCDF3_64BIT')

    #load var
    cdf = netCDF.Dataset(src_file) 
    src_var = cdf.variables[src_varname]

    # correct time to some classic value
    days_in_month = np.array([31,28.25,31,30,31,30,31,31,30,31,30,31])
    time = days_in_month[:nframe].sum() + days_in_month[nframe] / 2.

    #get missing value
    spval = src_var._FillValue

    spval2 = -1.0e+10

    # determine variable dimension
    ndim = len(src_var.dimensions) - 1

    # NWGOA3 grid sub-sample
    if ndim == 3:
        src_var = src_var[nframe,:, yrange[0]:yrange[1]+1, xrange[0]:xrange[1]+1]
    elif ndim == 2:
        src_var = src_var[nframe,yrange[0]:yrange[1]+1, xrange[0]:xrange[1]+1]


    if tracer == 'no3':
       unit_conversion = 1. / 1e6 / 1.035
    elif tracer == 'po4':
       unit_conversion = 1. / 1e6 / 1.035
    elif tracer == 'o2':
       unit_conversion = 1. / 1035 / 22391.6 * 1000.0
    elif tracer == 'sio4':
       unit_conversion = 1. / 1e6 / 1.035

    src_var = src_var * unit_conversion

    Bpos = 't'
    Cpos = 'rho'
    z = src_grd.z_t
    Mp, Lp = dst_grd.hgrid.mask_rho.shape
    wts_file = 'remap_weights_ESM2M_to_NWGOA3_bilinear_t_to_rho.nc'
    dst_varname = tracer
    dimensions = ('ocean_time', 's_rho', 'eta_rho', 'xi_rho')
    long_name = longname
    field = tracer + ', scalar, series'
    units = units

    if ndim == 3:
        # build intermediate zgrid
        zlevel = -z[::-1]
        nzlevel = len(zlevel)
        dst_zcoord = pyroms.vgrid.z_coordinate(dst_grd.vgrid.h, zlevel, nzlevel)
        dst_grdz = pyroms.grid.ROMS_Grid(dst_grd.name+'_Z', dst_grd.hgrid, dst_zcoord)


    # create variable in file
    print 'Creating variable', dst_varname
    nc.createVariable(dst_varname, 'f8', dimensions, fill_value=spval2)
    nc.variables[dst_varname].long_name = long_name
    nc.variables[dst_varname].units = units
    nc.variables[dst_varname].field = field
    #nc.variables[dst_varname_north]._FillValue = spval


    # remapping
    print 'remapping', dst_varname, 'from', src_grd.name, \
              'to', dst_grd.name

    if ndim == 3:
        # flood the grid
        print 'flood the grid'
        src_varz = pyroms_toolbox.BGrid_GFDL.flood(src_var, src_grd, Bpos=Bpos, spval=spval, \
#.........这里部分代码省略.........

def remapping_bound_sig(varname, srcfile, wts_files, srcgrd, dst_grd, \
              rotate_sig=False, trange=None, irange=None, jrange=None, \
              dstdir='./' ,zlevel=None, dmax=0, cdepth=0, kk=0):
    '''
    A remapping function to go from a ROMS grid to another ROMS grid.
    This is for 2D tensors: internal ice stress, hard-coding for sig11, sig22,
    sig12.
    '''

    # get input and output grid
    if type(srcgrd).__name__ == 'ROMS_Grid':
        srcgrd = srcgrd
    else:
        srcgrd = pyroms.grid.get_ROMS_grid(srcgrd)
    if type(dst_grd).__name__ == 'ROMS_Grid':
        dst_grd = dst_grd
    else:
        dst_grd = pyroms.grid.get_ROMS_grid(dst_grd)

    # varname argument
    if type(varname).__name__ == 'list':
        nvar = len(varname)
    elif type(varname).__name__ == 'str':
        varname = [varname]
        nvar = len(varname)
    else:
        raise ValueError, 'varname must be a str or a list of str'

    # srcfile argument
    if type(srcfile).__name__ == 'list':
        nfile = len(srcfile)
    elif type(srcfile).__name__ == 'str':
        srcfile = sorted(glob.glob(srcfile))
        nfile = len(srcfile)
    else:
        raise ValueError, 'src_srcfile must be a str or a list of str'

    # get wts_file
    if type(wts_files).__name__ == 'str':
        wts_files = sorted(glob.glob(wts_files))
 
    sides = ['_west','_east','_north','_south']
    long = {'_west':'Western', '_east':'Eastern', \
            '_north':'Northern', '_south':'Southern'}
    dimexcl = {'_west':'xi', '_east':'xi', \
            '_north':'eta', '_south':'eta'}

    nctidx = 0
    # loop over the srcfile
    for nf in range(nfile):
        print 'Working with file', srcfile[nf], '...'

        # get time 
        ocean_time = pyroms.utility.get_nc_var('ocean_time', srcfile[nf])
        ntime = len(ocean_time[:])

        # trange argument
        if trange is None:
            trange = range(ntime)

        # create destination file
        if nctidx == 0:
            dstfile = dstdir + os.path.basename(srcfile[nf])[:-3] + '_' \
                   + dst_grd.name + '_bdry.nc'
            if os.path.exists(dstfile) is False:
                print 'Creating destination file', dstfile
                pyroms_toolbox.nc_create_roms_file(dstfile, dst_grd, \
                    ocean_time, lgrid=False)

            # open destination file
            nc = netCDF.Dataset(dstfile, 'a', format='NETCDF3_64BIT')

        # loop over time
        for nt in trange:

            nc.variables['ocean_time'][nctidx] = ocean_time[nt]

            # loop over variable
            for nv in range(nvar):
                print ' '
                print 'remapping', varname[nv], 'from', srcgrd.name, \
                      'to', dst_grd.name
                print 'time =', ocean_time[nt]   
                Mp, Lp = dst_grd.hgrid.mask_rho.shape

                # get source data
                src_var = pyroms.utility.get_nc_var(varname[nv], srcfile[nf])

                # get spval
                try:
                    spval = src_var._FillValue
                except:
                    raise Warning, 'Did not find a _FillValue attribute.' 

                # irange
                if irange is None:
                    iirange = (0,src_var.shape[-1])
                else:
                    iirange = irange

#.........这里部分代码省略.........

#.........这里部分代码省略.........
        nfile = len(srcfile)
    else:
        raise ValueError, 'src_srcfile must be a str or a list of str'

    # get wts_file
    if type(wts_files).__name__ == 'str':
        wts_files = sorted(glob.glob(wts_files))
 
    sides = ['_west','_east','_north','_south']
    long = {'_west':'Western', '_east':'Eastern', \
            '_north':'Northern', '_south':'Southern'}
    dimexcl = {'_west':'xi', '_east':'xi', \
            '_north':'eta', '_south':'eta'}

    nctidx = 0
    # loop over the srcfile
    for nf in range(nfile):
        print 'Working with file', srcfile[nf], '...'

        # get time 
        ocean_time = pyroms.utility.get_nc_var('ocean_time', srcfile[nf])
        ntime = len(ocean_time[:])

        # trange argument
        if trange is None:
            trange = range(ntime)

        # create destination file
        if nctidx == 0:
            dstfile = dstdir + os.path.basename(srcfile[nf])[:-3] + '_' \
                   + dst_grd.name + '_bdry.nc'
            if os.path.exists(dstfile) is False:
                print 'Creating destination file', dstfile
                pyroms_toolbox.nc_create_roms_file(dstfile, dst_grd, \
                    ocean_time, lgrid=False)

            # open destination file
            nc = netCDF.Dataset(dstfile, 'a', format='NETCDF3_64BIT')

        # loop over time
        for nt in trange:

            nc.variables['ocean_time'][nctidx] = ocean_time[nt]

            # loop over variable
            for nv in range(nvar):
                print ' '
                print 'remapping', varname[nv], 'from', srcgrd.name, \
                      'to', dst_grd.name
                print 'time =', ocean_time[nt]   
                Mp, Lp = dst_grd.hgrid.mask_rho.shape

                # get source data
                src_var = pyroms.utility.get_nc_var(varname[nv], srcfile[nf])

                # determine variable dimension
                ndim = len(src_var.dimensions)-1

                # get spval
                try:
                    spval = src_var._FillValue
                except:
                    raise Warning, 'Did not find a _FillValue attribute.' 

                # irange
                if irange is None:

def remap(src_file, src_varname, src_grd, dst_grd, dmax=0, cdepth=0, kk=0, dst_dir='./'):
    
    # YELLOW grid sub-sample
    xrange=(225, 275); yrange=(190, 240)

    # get time
    nctime.long_name = 'time'
    nctime.units = 'days since 1900-01-01 00:00:00'
    # time reference "days since 1900-01-01 00:00:00"
    ref = datetime(1900, 1, 1, 0, 0, 0)
    ref = date2num(ref)
    tag = src_file.rsplit('/')[-1].rsplit('_')[-1].rsplit('-')[0]
    year = int(tag[:4])
    month = int(tag[4:6])
    day = int(tag[6:])
    time = datetime(year, month, day, 0, 0, 0)
    time = date2num(time)
    time = time - ref
    time = time + 2.5 # 5-day average

    # create IC file
    dst_file = src_file.rsplit('/')[-1]
    dst_file = dst_dir + dst_file[:-4] + '_' + src_varname + '_ic_' + dst_grd.name + '.nc'
    print '\nCreating file', dst_file
    if os.path.exists(dst_file) is True:
        os.remove(dst_file)
    pyroms_toolbox.nc_create_roms_file(dst_file, dst_grd, nctime)

    # open IC file
    nc = netCDF.Dataset(dst_file, 'a', format='NETCDF3_CLASSIC')

    #load var
    cdf = netCDF.Dataset(src_file)
    src_var = cdf.variables[src_varname]

    #get missing value
    spval = src_var._FillValue

    # determine variable dimension
    ndim = len(src_var.dimensions)

    # YELLOW grid sub-sample
    if ndim == 3:
        src_var = src_var[:, yrange[0]:yrange[1]+1, xrange[0]:xrange[1]+1]
    elif ndim == 2:
        src_var = src_var[yrange[0]:yrange[1]+1, xrange[0]:xrange[1]+1]


    if src_varname == 'ssh':
        Bpos = 't'
        Cpos = 'rho'
        z = src_grd.z_t
        Mp, Lp = dst_grd.hgrid.mask_rho.shape
        wts_file = 'remap_weights_SODA_2.1.6_to_YELLOW_bilinear_t_to_rho.nc'
        dst_varname = 'zeta'
        dimensions = ('ocean_time', 'eta_rho', 'xi_rho')
        long_name = 'free-surface'
        units = 'meter'
        field = 'free-surface, scalar, series'
    elif src_varname == 'temp':
        Bpos = 't'
        Cpos = 'rho'
        z = src_grd.z_t
        Mp, Lp = dst_grd.hgrid.mask_rho.shape
        wts_file = 'remap_weights_SODA_2.1.6_to_YELLOW_bilinear_t_to_rho.nc'
        dst_varname = 'temp'
        dimensions = ('ocean_time', 's_rho', 'eta_rho', 'xi_rho')
        long_name = 'potential temperature'
        units = 'Celsius'
        field = 'temperature, scalar, series'
    elif src_varname == 'salt':
        Bpos = 't'
        Cpos = 'rho'
        z = src_grd.z_t
        Mp, Lp = dst_grd.hgrid.mask_rho.shape
        wts_file = 'remap_weights_SODA_2.1.6_to_YELLOW_bilinear_t_to_rho.nc'
        dst_varname = 'salt'
        dimensions = ('ocean_time', 's_rho', 'eta_rho', 'xi_rho')
        long_name = 'salinity'
        units = 'PSU'
        field = 'salinity, scalar, series'
    else:
        raise ValueError, 'Undefined src_varname'


    if ndim == 3:
        # build intermediate zgrid
        zlevel = -z[::-1,0,0]
        nzlevel = len(zlevel)
        dst_zcoord = pyroms.vgrid.z_coordinate(dst_grd.vgrid.h, zlevel, nzlevel)
        dst_grdz = pyroms.grid.ROMS_Grid(dst_grd.name+'_Z', dst_grd.hgrid, dst_zcoord)


    # create variable in file
    print 'Creating variable', dst_varname
    nc.createVariable(dst_varname, 'f8', dimensions, fill_value=spval)
    nc.variables[dst_varname].long_name = long_name
    nc.variables[dst_varname].units = units
    nc.variables[dst_varname].field = field
    #nc.variables[dst_varname_north]._FillValue = spval
#.........这里部分代码省略.........

def remapping_tensor(varname, srcfile, wts_files, srcgrd, dstgrd, \
              rotate_sig=False, trange=None, irange=None, jrange=None, \
              dstdir='./', shapiro=False):
    '''
    A remapping function to go from a ROMS grid to another ROMS grid.
    This is for 2D tensors: internal ice stress, hard-coding for sig11, sig22,
    sig12.
    '''

    # get input and output grid
    if type(srcgrd).__name__ == 'ROMS_Grid':
        srcgrd = srcgrd
    else:
        srcgrd = pyroms.grid.get_ROMS_grid(srcgrd)
    if type(dstgrd).__name__ == 'ROMS_Grid':
        dstgrd = dstgrd
    else:
        dstgrd = pyroms.grid.get_ROMS_grid(dstgrd)

    # varname argument
    if type(varname).__name__ == 'list':
        nvar = len(varname)
    elif type(varname).__name__ == 'str':
        varname = [varname]
        nvar = len(varname)
    else:
        raise ValueError, 'varname must be a str or a list of str'

    # srcfile argument
    if type(srcfile).__name__ == 'list':
        nfile = len(srcfile)
    elif type(srcfile).__name__ == 'str':
        srcfile = sorted(glob.glob(srcfile))
        nfile = len(srcfile)
    else:
        raise ValueError, 'src_srcfile must be a str or a list of str'

    # get wts_file
    if type(wts_files).__name__ == 'str':
        wts_files = sorted(glob.glob(wts_files))
 
    # loop over the srcfile
    for nf in range(nfile):
        print 'Working with file', srcfile[nf], '...'

        # get time 
        ocean_time = pyroms.utility.get_nc_var('ocean_time', srcfile[nf])
        ntime = len(ocean_time[:])

        # trange argument
        if trange is None:
            trange = range(ntime)

        # create destination file
        dstfile = dstdir + os.path.basename(srcfile[nf])[:-3] + '_' + dstgrd.name + '.nc'
        if os.path.exists(dstfile) is False:
            print 'Creating destination file', dstfile
            pyroms_toolbox.nc_create_roms_file(dstfile, dstgrd, ocean_time)

        # open destination file
        nc = netCDF.Dataset(dstfile, 'a', format='NETCDF3_64BIT')

        nctidx = 0
        # loop over time
        for nt in trange:

            nc.variables['ocean_time'][nctidx] = ocean_time[nt]

            # loop over variable
            for nv in range(nvar):
                print ' '
                print 'remapping', varname[nv], 'from', srcgrd.name, \
                      'to', dstgrd.name
                print 'time =', ocean_time[nt]   

                # get source data
                src_var = pyroms.utility.get_nc_var(varname[nv], srcfile[nf])

                # get spval
                try:
                    spval = src_var._FillValue
                except:
                    raise Warning, 'Did not find a _FillValue attribute.' 

                # irange
                if irange is None:
                    iirange = (0,src_var.shape[-1])
                else:
                    iirange = irange

                # jrange
                if jrange is None:
                    jjrange = (0,src_var.shape[-2])
                else:
                    jjrange = jrange

                # determine where on the C-grid these variable lies
                if src_var.dimensions[2].find('_rho') != -1:
                    Cpos='rho'
                else:
#.........这里部分代码省略.........

def remap(src_varname, src_file, src_grd, dst_grd, dst_file, dmax=0, cdepth=0, kk=0, dst_dir='./'):
    
    # CCS grid sub-sample
    xrange=src_grd.xrange; yrange=src_grd.yrange

    # get time
    nctime.long_name = 'time'
    nctime.units = 'days since 1900-01-01 00:00:00'

    # create IC file
    print '\nCreating initial condition file', dst_file
    if os.path.exists(dst_file) is True:
        os.remove(dst_file)
    pyroms_toolbox.nc_create_roms_file(dst_file, dst_grd, nctime)

    # open IC file
    nc = netCDF.Dataset(dst_file, 'a', format='NETCDF3_64BIT')

    #load var
    cdf = netCDF.Dataset(src_file)
    src_var = cdf.variables[src_varname]

    tmp = cdf.variables['time'][:]
    if len(tmp) > 1:
        print 'error : multiple frames in input file' ; exit()
    else:
        time = tmp[0]
    
    # we need to correct the time axis
    ref_soda = dt.datetime(1980,1,1,0,0)
    ref_roms = dt.datetime(1900,1,1,0,0)
    ndays = (ref_soda - ref_roms).days
    time = time + ndays 

    #get missing value
    spval = src_var.missing_value

    # determine variable dimension
    ndim = len(src_var.dimensions) - 1

    # CCS grid sub-sample
    if ndim == 3:
        src_var = src_var[0,:, yrange[0]:yrange[1]+1, xrange[0]:xrange[1]+1]
    elif ndim == 2:
        src_var = src_var[0,yrange[0]:yrange[1]+1, xrange[0]:xrange[1]+1]


    if src_varname == 'ssh':
        Bpos = 't'
        Cpos = 'rho'
        z = src_grd.z_t
        Mp, Lp = dst_grd.hgrid.mask_rho.shape
        wts_file = 'remap_weights_' + src_grd.name + '_to_' + dst_grd.name + '_bilinear_t_to_rho.nc'
        dst_varname = 'zeta'
        dimensions = ('ocean_time', 'eta_rho', 'xi_rho')
        long_name = 'free-surface'
        units = 'meter'
        field = 'free-surface, scalar, series'
    elif src_varname == 'temp':
        src_var = src_var 
        Bpos = 't'
        Cpos = 'rho'
        z = src_grd.z_t
        Mp, Lp = dst_grd.hgrid.mask_rho.shape
        wts_file = 'remap_weights_' + src_grd.name + '_to_' + dst_grd.name + '_bilinear_t_to_rho.nc'
        dst_varname = 'temp'
        dimensions = ('ocean_time', 's_rho', 'eta_rho', 'xi_rho')
        long_name = 'potential temperature'
        units = 'Celsius'
        field = 'temperature, scalar, series'
    elif src_varname == 'salt':
        Bpos = 't'
        Cpos = 'rho'
        z = src_grd.z_t
        Mp, Lp = dst_grd.hgrid.mask_rho.shape
        wts_file = 'remap_weights_' + src_grd.name + '_to_' + dst_grd.name + '_bilinear_t_to_rho.nc'
        dst_varname = 'salt'
        dimensions = ('ocean_time', 's_rho', 'eta_rho', 'xi_rho')
        long_name = 'salinity'
        units = 'PSU'
        field = 'salinity, scalar, series'
    else:
        raise ValueError, 'Undefined src_varname'


    if ndim == 3:
        # build intermediate zgrid
        zlevel = -z[::-1]
        nzlevel = len(zlevel)
        dst_zcoord = pyroms.vgrid.z_coordinate(dst_grd.vgrid.h, zlevel, nzlevel)
        dst_grdz = pyroms.grid.ROMS_Grid(dst_grd.name+'_Z', dst_grd.hgrid, dst_zcoord)


    # create variable in file
    print 'Creating variable', dst_varname
    nc.createVariable(dst_varname, 'f8', dimensions, fill_value=spval)
    nc.variables[dst_varname].long_name = long_name
    nc.variables[dst_varname].units = units
    nc.variables[dst_varname].field = field
    #nc.variables[dst_varname_north]._FillValue = spval
#.........这里部分代码省略.........

#.........这里部分代码省略.........
            nvar = nvar - 2

    # srcfile argument
    if type(srcfile).__name__ == "list":
        nfile = len(srcfile)
    elif type(srcfile).__name__ == "str":
        srcfile = sorted(glob.glob(srcfile))
        nfile = len(srcfile)
    else:
        raise ValueError, "src_srcfile must be a str or a list of str"

    # get wts_file
    if type(wts_files).__name__ == "str":
        wts_files = sorted(glob.glob(wts_files))

    # loop over the srcfile
    for nf in range(nfile):
        print "Working with file", srcfile[nf], "..."

        # get time
        ocean_time = pyroms.utility.get_nc_var("ocean_time", srcfile[nf])
        ntime = len(ocean_time[:])

        # trange argument
        if trange is None:
            trange = range(ntime)
        else:
            trange = range(trange[0], trange[1] + 1)

        # create destination file
        dstfile = dstdir + os.path.basename(srcfile[nf])[:-3] + "_" + dstgrd.name + ".nc"
        if os.path.exists(dstfile) is False:
            print "Creating destination file", dstfile
            pyroms_toolbox.nc_create_roms_file(dstfile, dstgrd, ocean_time)

        # open destination file
        nc = netCDF.Dataset(dstfile, "a", format="NETCDF3_CLASSIC")

        nctidx = 0
        # loop over time
        for nt in trange:

            nc.variables["ocean_time"][nctidx] = ocean_time[nt]

            # loop over variable
            for nv in range(nvar):
                print " "
                print "remapping", varname[nv], "from", srcgrd.name, "to", dstgrd.name
                print "time =", ocean_time[nt]

                # get source data
                src_var = pyroms.utility.get_nc_var(varname[nv], srcfile[nf])

                # determine variable dimension
                ndim = len(src_var.dimensions) - 1

                # get spval
                try:
                    spval = src_var._FillValue
                except:
                    raise Warning, "Did not find a _FillValue attribute."

                # irange
                if irange is None:
                    iirange = (0, src_var._shape()[-1])
                else:

#.........这里部分代码省略.........
    if type(srcfile).__name__ == 'list':
        nfile = len(srcfile)
    elif type(srcfile).__name__ == 'str':
        srcfile = sorted(glob.glob(srcfile))
        nfile = len(srcfile)
    else:
        raise ValueError, 'src_srcfile must be a str or a list of str'

    sides = ['_west','_east','_north','_south']
    long = {'_west':'Western', '_east':'Eastern', \
            '_north':'Northern', '_south':'Southern'}
    dimincl = {'_west':'eta_rho', '_east':'eta_rho', \
            '_north':'xi_rho', '_south':'xi_rho'}

    nctidx = 0
    # loop over the srcfile
    for nf in range(nfile):
        print 'Working with file', srcfile[nf], '...'

        # get time
        ocean_time = pyroms.utility.get_nc_var('ocean_time', srcfile[nf])
        ntime = len(ocean_time[:])

        # trange argument
        if trange is None:
            trange = range(ntime)

        # create destination file
        if nctidx == 0:
            dstfile = dstdir + os.path.basename(srcfile[nf])[:-3] + '_' \
                   + dst_grd.name + '_bdry.nc'
            if os.path.exists(dstfile) is False:
                print 'Creating destination file', dstfile
                pyroms_toolbox.nc_create_roms_file(dstfile, dst_grd, \
                    ocean_time, lgrid=False)

            # open destination file
            nc = netCDF.Dataset(dstfile, 'a', format='NETCDF3_64BIT')

        # loop over time
        for nt in trange:

            nc.variables['ocean_time'][nctidx] = ocean_time[nt]

            # loop over variable
            for nv in range(nvar):
                print ' '
                print 'extracting', varname[nv], 'from', srcgrd.name, \
                      'to', dst_grd.name
                print 'time =', ocean_time[nt]
                Mp, Lp = dst_grd.hgrid.mask_rho.shape
                if varname[nv] == uvar:
                    Lp = Lp-1
                if varname[nv] == vvar:
                    Mp = Mp-1

                # get source data
                src_var = pyroms.utility.get_nc_var(varname[nv], srcfile[nf])

                # determine variable dimension
                ndim = len(src_var.dimensions)-1

                # get spval
                try:
                    spval = src_var._FillValue
                except:

def remap_bdry_uv(src_file, src_grd, dst_grd, dmax=0, cdepth=0, kk=0, dst_dir='./'):

    # YELLOW grid sub-sample
    xrange=(225, 275); yrange=(190, 240)

    # get time
    nctime.long_name = 'time'
    nctime.units = 'days since 1900-01-01 00:00:00'
    # time reference "days since 1900-01-01 00:00:00"
    ref = datetime(1900, 1, 1, 0, 0, 0)
    ref = date2num(ref)
    tag = src_file.rsplit('/')[-1].rsplit('_')[-1].rsplit('-')[0]
    year = int(tag[:4])
    month = int(tag[4:6])
    day = int(tag[6:])
    time = datetime(year, month, day, 0, 0, 0)
    time = date2num(time)
    time = time - ref
    time = time + 2.5 # 5-day average

    # get dimensions
    Mp, Lp = dst_grd.hgrid.mask_rho.shape

    # create destination file
    dst_file = src_file.rsplit('/')[-1]
    dst_fileu = dst_dir + dst_file[:-4] + '_u_bdry_' + dst_grd.name + '.nc'
    print '\nCreating destination file', dst_fileu
    if os.path.exists(dst_fileu) is True:
        os.remove(dst_fileu)
    pyroms_toolbox.nc_create_roms_file(dst_fileu, dst_grd, nctime)
    dst_filev = dst_dir + dst_file[:-4] + '_v_bdry_' + dst_grd.name + '.nc'
    print 'Creating destination file', dst_filev
    if os.path.exists(dst_filev) is True:
        os.remove(dst_filev)
    pyroms_toolbox.nc_create_roms_file(dst_filev, dst_grd, nctime)

    # open destination file
    ncu = netCDF.Dataset(dst_fileu, 'a', format='NETCDF3_CLASSIC')
    ncv = netCDF.Dataset(dst_filev, 'a', format='NETCDF3_CLASSIC')

    #load var
    cdf = netCDF.Dataset(src_file)
    src_varu = cdf.variables['u']
    src_varv = cdf.variables['v']

    #get missing value
    spval = src_varu._FillValue

    # YELLOW grid sub-sample
    src_varu = src_varu[:, yrange[0]:yrange[1]+1, xrange[0]:xrange[1]+1]
    src_varv = src_varv[:, yrange[0]:yrange[1]+1, xrange[0]:xrange[1]+1]

    # get weights file
    wts_file = 'remap_weights_SODA_2.1.6_to_YELLOW_bilinear_uv_to_rho.nc'

    # build intermediate zgrid
    zlevel = -src_grd.z_t[::-1,0,0]
    nzlevel = len(zlevel)
    dst_zcoord = pyroms.vgrid.z_coordinate(dst_grd.vgrid.h, zlevel, nzlevel)
    dst_grdz = pyroms.grid.ROMS_Grid(dst_grd.name+'_Z', dst_grd.hgrid, dst_zcoord)

    # create variable in destination file
    print 'Creating variable u_north'
    ncu.createVariable('u_north', 'f8', ('ocean_time', 's_rho', 'xi_u'), fill_value=spval)
    ncu.variables['u_north'].long_name = '3D u-momentum north boundary condition'
    ncu.variables['u_north'].units = 'meter second-1'
    ncu.variables['u_north'].field = 'u_nor