How to use the atlite.config.ncep_dir function in atlite

xs=xs, ys=ys,
                 fn=next(glob.iglob(template.format(year=ym[0], month=ym[1]))),
                 engine=engine,
                 yearmonth=ym)
            for ym in yearmonths]

def tasks_height_ncep(xs, ys, yearmonths, prepare_func, template, meta_attrs, **extra_args):
    return [dict(prepare_func=prepare_func,
                 xs=xs, ys=ys, yearmonths=yearmonths,
                 fn=next(glob.iglob(template)),
                 **extra_args)]

weather_data_config = {
    'influx': dict(tasks_func=tasks_monthly_ncep,
                   prepare_func=prepare_influx_ncep,
                   template=os.path.join(ncep_dir, '{year}{month:0>2}/dswsfc.*.grb2')),
    'outflux': dict(tasks_func=tasks_monthly_ncep,
                    prepare_func=prepare_outflux_ncep,
                    template=os.path.join(ncep_dir, '{year}{month:0>2}/uswsfc.*.grb2')),
    'temperature': dict(tasks_func=tasks_monthly_ncep,
                        prepare_func=prepare_temperature_ncep,
                        template=os.path.join(ncep_dir, '{year}{month:0>2}/tmp2m.*.grb2')),
    'soil temperature': dict(tasks_func=tasks_monthly_ncep,
                             prepare_func=prepare_soil_temperature_ncep,
                             template=os.path.join(ncep_dir, '{year}{month:0>2}/soilt1.*.grb2')),
    'wnd10m': dict(tasks_func=tasks_monthly_ncep,
                   prepare_func=prepare_wnd10m_ncep,
                   template=os.path.join(ncep_dir, '{year}{month:0>2}/wnd10m.*.grb2')),
    'runoff': dict(tasks_func=tasks_monthly_ncep,
                   prepare_func=prepare_runoff_ncep,
                   template=os.path.join(ncep_dir, '{year}{month:0>2}/runoff.*.grb2')),
    'roughness': dict(tasks_func=tasks_monthly_ncep,

weather_data_config = {
    'influx': dict(tasks_func=tasks_monthly_ncep,
                   prepare_func=prepare_influx_ncep,
                   template=os.path.join(ncep_dir, '{year}{month:0>2}/dswsfc.*.grb2')),
    'outflux': dict(tasks_func=tasks_monthly_ncep,
                    prepare_func=prepare_outflux_ncep,
                    template=os.path.join(ncep_dir, '{year}{month:0>2}/uswsfc.*.grb2')),
    'temperature': dict(tasks_func=tasks_monthly_ncep,
                        prepare_func=prepare_temperature_ncep,
                        template=os.path.join(ncep_dir, '{year}{month:0>2}/tmp2m.*.grb2')),
    'soil temperature': dict(tasks_func=tasks_monthly_ncep,
                             prepare_func=prepare_soil_temperature_ncep,
                             template=os.path.join(ncep_dir, '{year}{month:0>2}/soilt1.*.grb2')),
    'wnd10m': dict(tasks_func=tasks_monthly_ncep,
                   prepare_func=prepare_wnd10m_ncep,
                   template=os.path.join(ncep_dir, '{year}{month:0>2}/wnd10m.*.grb2')),
    'runoff': dict(tasks_func=tasks_monthly_ncep,
                   prepare_func=prepare_runoff_ncep,
                   template=os.path.join(ncep_dir, '{year}{month:0>2}/runoff.*.grb2')),
    'roughness': dict(tasks_func=tasks_monthly_ncep,
                      prepare_func=prepare_roughness_ncep,
                      template=os.path.join(ncep_dir, '{year}{month:0>2}/flxf.gdas.*.grb2')),
    'height': dict(tasks_func=tasks_height_ncep,
                   prepare_func=prepare_height_ncep,
                   template=os.path.join(ncep_dir, 'height/cdas1.20130101.splgrbanl.grb2'))
}

meta_data_config = dict(prepare_func=prepare_meta_ncep,
                        template=os.path.join(ncep_dir, '{year}{month:0>2}/tmp2m.*.grb2'),
                        height_config=weather_data_config['height'])