Model Processes

Grid

processes.grid.create_grid_from_region(region, *)	Create a 2D regular grid or reads an existing grid.
processes.grid.create_rotated_grid_from_geom(...)	Create a rotated grid based on a geometry.
processes.grid.grid_from_constant(grid_like, ...)	Prepare a grid based on a constant value.
processes.grid.grid_from_rasterdataset(...)	Prepare data by resampling ds to grid_like.
processes.grid.grid_from_raster_reclass(...)	Prepare data variable(s) resampled to grid_like object by reclassifying the data in da based on reclass_table.
processes.grid.grid_from_geodataframe(...[, ...])	Prepare data variable(s) resampled to grid_like object by rasterizing the data from gdf.
processes.grid.rotated_grid(pol, res[, ...])	Return the origin (x0, y0), shape (mmax, nmax) and rotation of the rotated grid.

Mesh

processes.mesh.create_mesh2d_from_region(...)	HYDROMT CORE METHOD: Create an 2D unstructured mesh or reads an existing 2D mesh according UGRID conventions.
processes.mesh.create_mesh2d_from_mesh(uds, ...)	Create a 2D mesh from another mesh.
processes.mesh.create_mesh2d_from_geom(geom, ...)	Create a regular 2D mesh from a boundary geometry.
processes.mesh.mesh2d_from_rasterdataset(ds, ...)	Resamples data in ds to mesh2d.
processes.mesh.mesh2d_from_raster_reclass(da, ...)	Resample data to mesh2d grid by reclassifying the data in da based on df_vars.

Region

processes.region.parse_region_basin(region, ...)	Parse a basin /subbasin / interbasin region and return the GeoDataFrame.
processes.region.parse_region_bbox(region, *)	Parse a region of kind bbox and return the GeoDataFrame.
processes.region.parse_region_geom(region, *)	Parse a region and return the GeoDataFrame.
processes.region.parse_region_grid(region, *)	Parse a region of kind grid and return the corresponding xarray object.
processes.region.parse_region_other_model(region)	Parse a region with a model path and return that whole Model in read mode.
processes.region.parse_region_mesh(region)	Parse a region with a mesh path and return that mesh in read mode.

Basin mask

processes.basin_mask.get_basin_geometry(ds)

Return a geometry of the (sub)(inter)basin(s).

River bathymetry

processes.rivers.river_width(gdf_stream, ...)	Return average river width along a segment based on a river mask raster.
processes.rivers.river_depth(data, method[, ...])	Derive river depth estimates based bankfull discharge.

Meteo

processes.meteo.precip(precip, da_like[, ...])	Return the lazy reprojection of precipitation to model.
processes.meteo.temp(temp, dem_model[, ...])	Return lazy reprojection of temperature to model grid.
processes.meteo.press(press, dem_model[, ...])	Return lazy reprojection of pressure to model grid.
processes.meteo.pet(ds, temp, dem_model[, ...])	Determine reference evapotranspiration.
processes.meteo.wind(da_model[, wind, ...])	Return lazy reprojection of wind speed to model grid.
processes.meteo.press_correction(dem_model)	Pressure correction based on elevation lapse_rate.
processes.meteo.temp_correction(dem[, ...])	Temperature correction based on elevation data.
processes.meteo.resample_time(da, freq[, ...])	Resample data to destination frequency.
processes.meteo.delta_freq(da_or_freq, ...)	Return relative difference between dataset mean timestep and destination freq.
processes.meteo.pet_debruin(temp, press, ...)	Determine De Bruin (2016) reference evapotranspiration.
processes.meteo.pet_makkink(temp, press, k_in)	Determnines Makkink reference evapotranspiration.
processes.meteo.pm_fao56(temp, temp_max, ...)	Estimate daily reference evapotranspiration (ETo).