hydromt_wflow.WflowSedimentModel#

class hydromt_wflow.WflowSedimentModel(root: str | None = None, mode: str | None = 'w', config_fn: str | None = None, data_libs: ~typing.List | str = [], logger=<Logger hydromt_wflow.wflow_sediment (WARNING)>)[source]#

The wflow sediment model class, a subclass of WflowModel.

Initialize a GridModel for distributed models with a regular grid.

__init__(root: str | None = None, mode: str | None = 'w', config_fn: str | None = None, data_libs: ~typing.List | str = [], logger=<Logger hydromt_wflow.wflow_sediment (WARNING)>)[source]#: Initialize a GridModel for distributed models with a regular grid.

Methods

`__init__`([root, mode, config_fn, data_libs, ...])	Initialize a GridModel for distributed models with a regular grid.
`build`([region, write, opt])	Single method to build a model from scratch based on settings in opt.
`clip_forcing`([crs])	Return clippped forcing for subbasin.
`clip_grid`(region[, buffer, align, crs])	Clip grid to subbasin.
`clip_states`([crs])	Return clippped states for subbasin.
`get_config`(*args[, fallback, abs_path])	Get a config value at key(s).
`get_tables_merged`()	Return all tables of a model merged into one dataframe.
`read`()	Read the complete model schematization and configuration from file.
`read_config`([config_fn])	Parse config from file.
`read_forcing`()	Read forcing.
`read_geoms`([geoms_fn])	Read static geometries and adds to `geoms`.
`read_grid`(**kwargs)	Read wflow static input and add to `grid`.
`read_intbl`(**kwargs)	Read and intbl files at <root/intbl> and parse to xarray.
`read_maps`([fn])	Read model map at <root>/<fn> and add to maps component.
`read_nc`(fn[, mask_and_scale, ...])	Read netcdf files at <root>/<fn> and return as dict of xarray.Dataset.
`read_results`()	Read results at <root/?/> and parse to dict of xr.DataArray/xr.Dataset.
`read_states`()	Read states at <root/instate/> and parse to dict of xr.DataArray.
`read_staticgeoms`()	Read gemoetries from disk.
`read_staticmaps`([fn])	Read static model maps at <root>/<fn> and add to staticmaps property.
`read_tables`(**kwargs)	Read table files at <root> and parse to dict of dataframes.
`set_config`(*args)	Update the config dictionary at key(s) with values.
`set_crs`(crs)	Set coordinate reference system of the model grid.
`set_flwdir`([ftype])	Parse pyflwdir.FlwdirRaster object parsed from the wflow ldd.
`set_forcing`(data[, name, split_dataset])	Add data to forcing attribute.
`set_geoms`(geom, name)	Add data to the geoms attribute.
`set_grid`(data[, name])	Add data to grid.
`set_intbl`(df, name)	Add intbl <pandas.DataFrame> to model.
`set_maps`(data[, name, split_dataset])	Add raster data to the maps component.
`set_results`(data[, name, split_dataset])	Add data to results attribute.
`set_root`(root[, mode])	Initialize the model root.
`set_states`(data[, name, split_dataset])	Add data to states attribute.
`set_staticgeoms`(geom, name)	Set the geometries.
`set_staticmaps`(data[, name])	Add data to staticmaps.
`set_tables`(df, name)	Add table <pandas.DataFrame> to model.
`setup_1dmodel_connection`(river1d_fn[, ...])	Connect wflow to a 1D model by deriving linked subcatch (and tributaries).
`setup_allocation_areas`(waterareas_fn[, ...])	Create water demand allocation areas.
`setup_allocation_surfacewaterfrac`(gwfrac_fn)	Create the fraction of water allocated from surface water.
`setup_areamap`(area_fn, col2raster[, nodata])	Set area map from vector data to save wflow outputs for specific area.
`setup_basemaps`(region, hydrography_fn[, ...])	Build the DEM and flow direction for a Wflow model.
`setup_canopymaps`(canopy_fn)	Generate sediments based canopy height maps.
`setup_cold_states`([timestamp])	Prepare cold states for Wflow.
`setup_config`(**cfdict)	Update config with a dictionary.
`setup_config_output_timeseries`(mapname[, ...])	Set the default gauge map based on basin outlets.
`setup_constant_pars`([dtype, nodata])	Generate constant parameter maps for all active model cells.
`setup_domestic_demand`(domestic_fn[, ...])	Prepare domestic water demand maps from a raster dataset.
`setup_floodplains`(hydrography_fn, ...[, ...])	Add floodplain information to the model schematisation.
`setup_gauges`(gauges_fn[, index_col, ...])	Set a gauge map based on `gauges_fn` data.
`setup_glaciers`([glaciers_fn, min_area])	Generate maps of glacier areas, area fraction and volume fraction.
`setup_grid`(region[, res, crs, rotated, ...])	HYDROMT CORE METHOD: Create a 2D regular grid or reads an existing grid.
`setup_grid_from_constant`(constant, name[, ...])	HYDROMT CORE METHOD: Adds a grid based on a constant value.
`setup_grid_from_geodataframe`(vector_fn[, ...])	HYDROMT CORE METHOD: Add data variable(s) to grid object by rasterizing the data from `vector_fn`.
`setup_grid_from_raster`(raster_fn, ...[, ...])	Add data variable(s) from `raster_fn` to grid object.
`setup_grid_from_raster_reclass`(raster_fn, ...)	HYDROMT CORE METHOD: Add data variable(s) to grid object by reclassifying the data in `raster_fn` based on `reclass_table_fn`.
`setup_grid_from_rasterdataset`(raster_fn[, ...])	HYDROMT CORE METHOD: Add data variable(s) from `raster_fn` to grid object.
`setup_irrigation`(irrigated_area_fn, ...[, ...])	Add required information to simulate irrigation water demand.
`setup_ksathorfrac`(ksat_fn[, variable, ...])	Set KsatHorFrac parameter values from a predetermined map.
`setup_laimaps`(lai_fn[, lulc_fn, ...])	Set leaf area index (LAI) climatology maps per month [1,2,3,...,12].
`setup_laimaps_from_lulc_mapping`(lulc_fn, ...)	Derive cyclic LAI maps from a LULC data source and a LULC-LAI mapping table.
`setup_lakes`([lakes_fn, min_area])	Generate maps of lake areas and outlets.
`setup_lulcmaps`(lulc_fn[, lulc_mapping_fn, ...])	Derive several wflow maps based on landuse-landcover (LULC) data.
`setup_lulcmaps_with_paddy`(lulc_fn, paddy_class)	Set up landuse maps and parameters including for paddy fields.
`setup_maps_from_raster_reclass`(raster_fn, ...)	HYDROMT CORE METHOD: Add data variable(s) to maps object by reclassifying the data in `raster_fn` based on `reclass_table_fn`.
`setup_maps_from_rasterdataset`(raster_fn[, ...])	HYDROMT CORE METHOD: Add data variable(s) from `raster_fn` to maps object.
`setup_other_demand`(demand_fn[, variables, ...])	Create water demand maps from other sources (e.g. industry, livestock).
`setup_outlets`([river_only, toml_output, ...])	Set the default gauge map based on basin outlets.
`setup_pet_forcing`(pet_fn[, chunksize])	Prepare PET forcing from existig PET data.
`setup_precip_forcing`(precip_fn[, ...])	Generate gridded precipitation forcing at model resolution.
`setup_region`(region[, hydrography_fn, ...])	Set the region of interest of the model.
`setup_reservoirs`(reservoirs_fn[, ...])	Generate maps of lake areas and outlets.
`setup_riverbedsed`([bedsed_mapping_fn])	Generate sediments based river bed characteristics maps.
`setup_rivers`(args, *kwargs)	Copy the functionality of WflowModel.
`setup_riverwidth`([predictor, fill, fit, ...])	Set the river width parameter based on power-law relationship with a predictor.
`setup_rootzoneclim`(run_fn, forcing_obs_fn[, ...])	Set the RootingDepth.
`setup_soilmaps`([soil_fn, usleK_method])	Generate sediments based soil parameter maps.
`setup_temp_pet_forcing`(temp_pet_fn[, ...])	Generate gridded temperature and reference evapotranspiration forcing.
`test_model_api`()	Test compliance with HydroMT Model API.
`update`([model_out, write, opt, ...])	Single method to update a model based the settings in opt.
`write`([config_fn, grid_fn, geoms_fn, ...])	Write the complete model schematization and configuration to file.
`write_config`([config_name, config_root])	Write config to <root/config_fn>.
`write_data_catalog`([root, data_lib_fn, ...])	Write the data catalog to data_lib_fn.
`write_forcing`([fn_out, freq_out, chunksize, ...])	Write forcing at `fn_out` in model ready format.
`write_geoms`([geoms_fn, precision])	Write geoms in GeoJSON format.
`write_grid`([fn_out])	Write grid to wflow static data file.
`write_intbl`()	Write intbl at <root/intbl> in PCRaster table format.
`write_maps`([fn])	Write maps to netcdf file at <root>/<fn>.
`write_nc`(nc_dict, fn[, gdal_compliant, ...])	Write dictionnary of xarray.Dataset and/or xarray.DataArray to netcdf files.
`write_results`()	Write results at <root/?/> in model ready format.
`write_states`([fn_out])	Write states at <root/instate/> in model ready format.
`write_staticgeoms`()	Write the geometries to disk.
`write_staticmaps`([fn])	Write static model maps to netcdf file at <root>/<fn>.
`write_tables`()	Write tables at <root>.

Attributes

`api`
`basins`	Returns a basin(s) geometry as a geopandas.GeoDataFrame.
`basins_highres`	Returns a high resolution basin(s) geometry.
`bounds`	Returns the bounding box of the model grid.
`config`	Model configuration.
`coords`	Returns the coordinates of model staticmaps.
`crs`	Returns coordinate reference system embedded in the model grid.
`dims`	Returns spatial dimension names of staticmaps.
`flwdir`	Return the pyflwdir.FlwdirRaster object parsed from wflow ldd.
`forcing`	Model forcing.
`geoms`	Model geometries.
`grid`	Model static gridded data as xarray.Dataset.
`height`	Returns the height of the model staticmaps.
`intbl`	Return a dictionary of pandas.DataFrames representing wflow intbl files.
`maps`	Model maps.
`region`	Returns the geometry of the model area of interest.
`res`	Returns the resolution of the model grid.
`results`	Model results.
`rivers`	Return a river geometry as a geopandas.GeoDataFrame.
`root`	Path to model folder.
`shape`	Returns the shape of the model staticmaps.
`states`	Model states.
`staticgeoms`	Access the geometryes.
`staticmaps`	Model static maps.
`tables`	Return a dictionary of pandas.DataFrames representing wflow intbl files.
`transform`	Returns spatial transform of the model grid.
`width`	Returns the width of the model staticmaps.