API reference#

SFINCS model class#

Initialize#

SfincsModel(root, mode, config_fn, ...[, logger])

The SFINCS model class (SfincsModel) contains methods to read, write, setup and edit SFINCS models.

Setup components#

`SfincsModel.setup_config`(**cfdict)	Update config with a dictionary.
`SfincsModel.setup_region`(region[, ...])	Set the region of interest of the model.
`SfincsModel.setup_grid`(x0, y0, dx, dy, nmax, ...)	Setup a regular or quadtree grid.
`SfincsModel.setup_grid_from_region`(region[, ...])	Setup a regular or quadtree grid from a region.
`SfincsModel.setup_dep`(datasets_dep[, ...])	Interpolate topobathy (dep) data to the model grid.
`SfincsModel.setup_mask_active`([mask, ...])	Setup active model cells.
`SfincsModel.setup_mask_bounds`([btype, ...])	Set boundary cells in the model mask.
`SfincsModel.setup_manning_roughness`([...])	Setup model manning roughness map (manningfile) from gridded manning data or a combinataion of gridded land-use/land-cover map and manning roughness mapping table.
`SfincsModel.setup_constant_infiltration`([...])	Setup spatially varying constant infiltration rate (qinffile).
`SfincsModel.setup_cn_infiltration`(cn[, ...])	Setup model potential maximum soil moisture retention map (scsfile) from gridded curve number map.
`SfincsModel.setup_cn_infiltration_with_ks`(...)	Setup model the Soil Conservation Service (SCS) Curve Number (CN) files for SFINCS including recovery term based on the soil saturation
`SfincsModel.setup_subgrid`(datasets_dep[, ...])	Setup method for subgrid tables based on a list of elevation and Manning's roughness datasets.
`SfincsModel.setup_river_inflow`([rivers, ...])	Setup discharge (src) points where a river enters the model domain.
`SfincsModel.setup_river_outflow`([rivers, ...])	Setup open boundary cells (mask=3) where a river flows out of the model domain.
`SfincsModel.setup_observation_points`(locations)	Setup model observation point locations.
`SfincsModel.setup_observation_lines`(locations)	Setup model observation lines (cross-sections) to monitor discharges.
`SfincsModel.setup_structures`(structures, stype)	Setup thin dam or weir structures.
`SfincsModel.setup_drainage_structures`(structures)	Setup drainage structures.
`SfincsModel.setup_storage_volume`(storage_locs)	Setup storage volume.
`SfincsModel.setup_waterlevel_forcing`([...])	Setup waterlevel forcing.
`SfincsModel.setup_waterlevel_bnd_from_mask`([...])	Setup waterlevel boundary (bnd) points along model waterlevel boundary (msk=2).
`SfincsModel.setup_discharge_forcing`([...])	Setup discharge forcing.
`SfincsModel.setup_discharge_forcing_from_grid`(...)	Setup discharge forcing based on a gridded discharge dataset.
`SfincsModel.setup_precip_forcing`([...])	Setup spatially uniform precipitation forcing (precip).
`SfincsModel.setup_precip_forcing_from_grid`(precip)	Setup precipitation forcing from a gridded spatially varying data source.
`SfincsModel.setup_pressure_forcing_from_grid`(press)	Setup pressure forcing from a gridded spatially varying data source.
`SfincsModel.setup_wind_forcing`([timeseries, ...])	Setup spatially uniform wind forcing (wind).
`SfincsModel.setup_wind_forcing_from_grid`(wind)	Setup pressure forcing from a gridded spatially varying data source.
`SfincsModel.setup_tiles`([path, region, ...])	Create both index and topobathy tiles in webmercator format.

Plot methods#

`SfincsModel.plot_basemap`([fn_out, variable, ...])	Create basemap plot.
`SfincsModel.plot_forcing`([fn_out, forcings])	Plot model timeseries forcing.

Attributes#

`SfincsModel.region`	Returns the geometry of the active model cells.
`SfincsModel.mask`	Returns model mask
`SfincsModel.crs`	Returns the model crs
`SfincsModel.res`	Returns the resolution of the model grid.
`SfincsModel.root`	Path to model folder.
`SfincsModel.config`	Model configuration.
`SfincsModel.grid`	Model static gridded data as xarray.Dataset.
`SfincsModel.geoms`	Model geometries.
`SfincsModel.forcing`	Model forcing.
`SfincsModel.states`	Model states.
`SfincsModel.results`	Model results.

High level methods#

`SfincsModel.read`([epsg])	Read the complete model schematization and configuration from file.
`SfincsModel.write`()	Write the complete model schematization and configuration to file.
`SfincsModel.build`([region, write, opt])	Single method to build a model from scratch based on settings in opt.
`SfincsModel.update`([model_out, write, opt, ...])	Single method to update a model based the settings in opt.
`SfincsModel.set_root`(root[, mode])	Initialize the model root.

Low level methods#

`SfincsModel.update_grid_from_config`()	Update grid properties based on config (sfincs.inp) attributes
`SfincsModel.update_spatial_attrs`()	Update geospatial config (sfincs.inp) attributes based on grid
`SfincsModel.set_forcing_1d`([df_ts, ...])	Set 1D forcing time series for 'bzs' or 'dis' boundary conditions.
`SfincsModel.get_model_time`()	Return (tstart, tstop) tuple with parsed model start and end time

General methods#

`SfincsModel.setup_config`(**cfdict)	Update config with a dictionary.
`SfincsModel.get_config`(*args[, fallback, ...])	Get a config value at key(s).
`SfincsModel.set_config`(*args)	Update the config dictionary at key(s) with values.
`SfincsModel.read_config`([config_fn, epsg])	Parse config from SFINCS input file.
`SfincsModel.write_config`([config_fn])	Write config to <root/config_fn>
`SfincsModel.set_grid`(data[, name])	Add data to grid.
`SfincsModel.read_grid`([data_vars])	Read SFINCS binary grid files and save to grid attribute.
`SfincsModel.write_grid`([data_vars])	Write SFINCS grid to binary files including map index file.
`SfincsModel.read_subgrid`()	Read SFINCS subgrid file and add to subgrid attribute.
`SfincsModel.write_subgrid`()	Write SFINCS subgrid file.
`SfincsModel.set_geoms`(geom, name)	Add data to the geoms attribute.
`SfincsModel.read_geoms`()	Read geometry files and save to geoms attribute.
`SfincsModel.write_geoms`([data_vars])	Write geoms to bnd/src/obs xy files and thd/weir structure files.
`SfincsModel.set_forcing`(data[, name, ...])	Add data to forcing attribute.
`SfincsModel.read_forcing`([data_vars])	Read forcing files and save to forcing attribute.
`SfincsModel.write_forcing`([data_vars, fmt])	Write forcing to ascii or netcdf (netampr) files.
`SfincsModel.set_states`(data[, name, ...])	Add data to states attribute.
`SfincsModel.read_states`()	Read waterlevel state (zsini) from binary file and save to states attribute.
`SfincsModel.write_states`()	Write waterlevel state (zsini) to binary map file.
`SfincsModel.set_results`(data[, name, ...])	Add data to results attribute.
`SfincsModel.read_results`([chunksize, drop, ...])	Read results from sfincs_map.nc and sfincs_his.nc and save to the results attribute.

SFINCS workflows#

`workflows.merge_multi_dataarrays`(da_list[, ...])	Merge a list of data arrays by reprojecting these to a common destination grid and combine valid values.
`workflows.merge_dataarrays`(da1, da2[, ...])	Return merged data from two data arrays.
`workflows.burn_river_rect`(da_elv, gdf_riv[, ...])	Burn rivers with a rectangular cross profile into a DEM.
`workflows.snap_discharge`(ds, gdf[, wdw, ...])	Snaps point locations to grid cell with smallest difference in upstream area within wdw around the original location if the local cell does not meet the error criteria.
`workflows.river_source_points`(gdf_riv, gdf_mask)	Returns the locations where a river flows in (inflow=True) or out (inflow=False) of the model gdf_mask.
`workflows.river_centerline_from_hydrography`(...)	Returns the centerline of rivers based on a flow direction raster data (da_flwdir).
`workflows.landuse`	Landuse related workflows for SFINCS.
`workflows.cn_to_s`(da_cn[, da_mask, nodata])	Convert Curve Numbers to potential maximum soil moisture retention S [inch].
`workflows.create_topobathy_tiles`(root, ...)	Create webmercator topobathy tiles for a given region.
`workflows.downscale_floodmap_webmercator`(...)	Create a downscaled floodmap for (model) region in webmercator tile format

SFINCS low-level methods#

Input/Output methods#

`utils.read_binary_map`(fn, ind, shape[, mv, ...])	Read binary map.
`utils.write_binary_map`(fn, data, msk[, dtype])	Write binary map file.
`utils.read_binary_map_index`(fn_ind)	Read binary map index file.
`utils.write_binary_map_index`(fn_ind, msk)	Write flat index of binary map file.
`utils.read_ascii_map`(fn)	Read ascii map
`utils.write_ascii_map`(fn, data[, fmt])	Write ascii map
`utils.read_timeseries`(fn, tref)	Read ascii timeseries files such as sfincs.bzs, sfincs.dis and sfincs.precip.
`utils.write_timeseries`(fn, df, tref[, fmt])	Write pandas.DataFrame to fixed width ascii timeseries files such as sfincs.bzs, sfincs.dis and sfincs.precip.
`utils.read_xy`(fn[, crs])	Read sfincs xy files and parse to GeoDataFrame.
`utils.write_xy`(fn, gdf[, fmt])	Write geopandas.GeoDataFrame with Point geometries to point xy files.
`utils.read_xyn`(fn[, crs])
`utils.write_xyn`([fn, gdf, fmt])
`utils.read_geoms`(fn)	Read structure files to list of dictionaries.
`utils.write_geoms`(fn, feats[, stype, fmt, fmt_z])	Write list of structure dictionaries to file
`utils.read_drn`(fn[, crs])	Read drainage structure files to geodataframe.
`utils.write_drn`(fn, gdf_drainage[, fmt])	Write structure files from list of dictionaries.
`utils.read_sfincs_map_results`(fn_map, ds_like)	Read sfincs_map.nc staggered grid netcdf files and parse to two hydromt.RasterDataset objects: one with face and one with edge variables.
`utils.read_sfincs_his_results`(fn_his[, crs, ...])	Read sfincs_his.nc point timeseries netcdf file and parse to hydromt.GeoDataset object.

Utilities#

`utils.parse_datetime`(dt[, format])	Checks and/or parses datetime from a string, default sfincs datetime string format
`utils.gdf2linestring`(gdf)	Convert GeoDataFrame[LineString] to list of structure dictionaries
`utils.linestring2gdf`(feats[, crs])	Convert list of structure dictionaries to GeoDataFrame[LineString]
`utils.gdf2polygon`(gdf)	Convert GeoDataFrame[Polygon] to list of structure dictionaries
`utils.polygon2gdf`(feats[, crs, zmin, zmax])	Convert list of structure dictionaries to GeoDataFrame[Polygon]
`utils.get_bounds_vector`(da_msk)	Get bounds of vectorized mask as GeoDataFrame.
`utils.mask2gdf`(da_mask[, option])	Convert a boolean mask to a GeoDataFrame of polygons.
`utils.rotated_grid`(pol, res[, dec_origin, ...])	Returns the origin (x0, y0), shape (mmax, nmax) and rotation of the rotated grid fitted to the minimum rotated rectangle around the area of interest (pol).

Visualization#

`plots.plot_basemap`(ds, geoms[, variable, ...])	Create basemap plot.
`plots.plot_forcing`(forcing, **kwargs)	Plot model timeseries forcing.
`utils.downscale_floodmap`(zsmax, dep[, hmin, ...])	Create a downscaled floodmap for (model) region.
`workflows.downscale_floodmap_webmercator`(...)	Create a downscaled floodmap for (model) region in webmercator tile format