Python process_custom_climate_data 예제들

예제 #1

파일: track_model_results.py 프로젝트: terrence1666/oggm

    def setup_cache(self):

        utils.mkdir(self.testdir, reset=True)
        self.cfg_init()

        hef_file = get_demo_file('Hintereisferner_RGI5.shp')
        entity = gpd.read_file(hef_file).iloc[0]

        gdir = oggm.GlacierDirectory(entity, base_dir=self.testdir)

        tasks.define_glacier_region(gdir, entity=entity)
        tasks.glacier_masks(gdir)
        tasks.compute_centerlines(gdir)
        tasks.initialize_flowlines(gdir)
        tasks.compute_downstream_line(gdir)
        tasks.compute_downstream_bedshape(gdir)
        tasks.catchment_area(gdir)
        tasks.catchment_intersections(gdir)
        tasks.catchment_width_geom(gdir)
        tasks.catchment_width_correction(gdir)
        tasks.process_custom_climate_data(gdir)
        tasks.mu_candidates(gdir)
        mbdf = gdir.get_ref_mb_data()['ANNUAL_BALANCE']
        res = climate.t_star_from_refmb(gdir, mbdf)
        tasks.local_mustar(gdir, tstar=res['t_star'], bias=res['bias'])
        tasks.apparent_mb(gdir)

        tasks.prepare_for_inversion(gdir)
        tasks.mass_conservation_inversion(gdir)

        return gdir

예제 #2

파일: prepare_climate.py 프로젝트: anton-ub/oggm

cfg.PARAMS['prcp_scaling_factor'] = pcp_fac

base_dir = os.path.join(os.path.expanduser('~'), 'Climate')
entity = gpd.read_file(get_demo_file('Hintereisferner.shp')).iloc[0]
gdir = oggm.GlacierDirectory(entity, base_dir=base_dir)

tasks.define_glacier_region(gdir, entity=entity)
tasks.glacier_masks(gdir)
tasks.compute_centerlines(gdir)

tasks.initialize_flowlines(gdir)
tasks.catchment_area(gdir)
tasks.catchment_width_geom(gdir)
tasks.catchment_width_correction(gdir)
cfg.PATHS['climate_file'] = get_demo_file('histalp_merged_hef.nc')
tasks.process_custom_climate_data(gdir)
tasks.mu_candidates(gdir)

mbdf = gdir.get_ref_mb_data()
res = t_star_from_refmb(gdir, mbdf.ANNUAL_BALANCE)
local_mustar_apparent_mb(gdir,
                         tstar=res['t_star'][-1],
                         bias=res['bias'][-1],
                         prcp_fac=res['prcp_fac'])

# For plots
mu_yr_clim = gdir.read_pickle('mu_candidates')[pcp_fac]
years, temp_yr, prcp_yr = mb_yearly_climate_on_glacier(gdir, pcp_fac, div_id=0)

# which years to look at
selind = np.searchsorted(years, mbdf.index)

예제 #3

파일: prepare_climate.py 프로젝트: OGGM/oggm

base_dir = os.path.join(os.path.expanduser('~'), 'Climate')
entity = gpd.read_file(get_demo_file('Hintereisferner.shp')).iloc[0]
gdir = oggm.GlacierDirectory(entity, base_dir=base_dir)

tasks.define_glacier_region(gdir, entity=entity)
tasks.glacier_masks(gdir)
tasks.compute_centerlines(gdir)
tasks.compute_centerlines(gdir)

tasks.initialize_flowlines(gdir)
tasks.catchment_area(gdir)
tasks.catchment_width_geom(gdir)
tasks.catchment_width_correction(gdir)
cfg.PATHS['climate_file'] = get_demo_file('histalp_merged_hef.nc')
tasks.process_custom_climate_data(gdir)
tasks.mu_candidates(gdir)

# For plots
mu_yr_clim = gdir.read_pickle('mu_candidates')[pcp_fac]
mbdf = gdir.get_ref_mb_data()
years, temp_yr, prcp_yr = mb_yearly_climate_on_glacier(gdir, pcp_fac, div_id=0)

# which years to look at
selind = np.searchsorted(years, mbdf.index)
temp_yr = np.mean(temp_yr[selind])
prcp_yr = np.mean(prcp_yr[selind])

# Average oberved mass-balance
ref_mb = mbdf.ANNUAL_BALANCE.mean()
mb_per_mu = prcp_yr - mu_yr_clim * temp_yr