hydromt_wflow.workflows.prepare_cold_states#

hydromt_wflow.workflows.prepare_cold_states(ds_like: Dataset, config: dict, timestamp: str = None) → Tuple[Dataset, Dict[str, str]][source]#

Prepare cold states for Wflow.

Compute cold states variables:

  • satwaterdepth: saturated store [mm]

  • snow: snow storage [mm]

  • tsoil: top soil temperature [°C]

  • ustorelayerdepth: amount of water in the unsaturated store, per layer [mm]

  • snowwater: liquid water content in the snow pack [mm]

  • canopystorage: canopy storage [mm]

  • q_river: river discharge [m3/s]

  • h_river: river water level [m]

  • h_av_river: river average water level [m]

  • ssf: subsurface flow [m3/d]

  • h_land: land water level [m]

  • h_av_land: land average water level[m]

  • q_land or qx_land**+**qy_land: overland flow for kinwave [m3/s] or overland flow in x/y directions for local-inertial [m3/s]

If lakes, also adds:

  • waterlevel_lake: lake water level [m]

If reservoirs, also adds:

  • volume_reservoir: reservoir volume [m3]

If glaciers, also adds:

  • glacierstore: water within the glacier [mm]

If paddy, also adds:

  • h_paddy: water on the paddy fields [mm]

Parameters:

  • ds_like (xr.Dataset) –

    Dataset containing the staticmaps grid and variables to prepare some of the states.

    • Required variables: wflow_subcatch, wflow_river

    • Other required variables (exact name from the wflow config): c, soilthickness,

      theta_s, theta_r, kv_0, f, slope, ksathorfrac

    • Optional variables (exact name from the wflow config): reservoir.locs,

      glacierstore, reservoir.maxvolume, reservoir.targetfullfrac, lake.waterlevel

  • config (dict) – Wflow configuration dictionary.

  • timestamp (str, optional) – Timestamp of the cold states. By default uses the starttime from the config.

Returns:

  • xr.Dataset – Dataset containing the cold states.

  • dict – Config dictionary with the cold states variable names.