GENERAL
Group	Name	Value	Description
Basic information	Dataset title:	Urban pluvial flood simulations - Lucerne (ETH Zurich)
	Short description:	DEM, rainfall patterns, and peak flood water depth rasters for three catchment areas (744, luzern, portugal). Includes synthetic design-storm scenarios, selected real-event outputs for Portugal, and trained machine-learning models based on the simulation results
	Bounding box:	Unknown
	Primary coordinate system (EPSG):	Unknown
	Domain area (km²):	Unknown
	City/Region/Country:	Lucerne, Switzerland (plus catchment 744; plus Portugal real-event subset)
	Keywords:	flood, urban flooding, pluvial, Lucerne, Switzerland, design storm, peak water depth, DEM, ASCII grid, ETH Zurich
Temporal coverage	Time series type:	Event-based
	Start datetime:	Unknown
	End datetime:	Unknown
	Temporal resolution:	Unknown	e.g., 5 min, 1 h, daily
	Timezone:	Unknown
	Gaps handling:	None
Measurements	Contains in-situ measurements:	No
	Rainfall stations provided:	No
	Water level/flow stations provided:	No
	Station CRS (EPSG):	Unknown
	Quality control perfomed on measurements:	No
Model overview	Model dimensionality:	2D
	Hydrological engine:	Unknown
	Model version:	Unknown
	Coupling approach (if 1D–2D):	Unknown	e.g., HX/SX, lateral links, other
	Global spatial resolution:	1 m
	Numerical timestep:	Unknown	e.g., 1 s, 2 s, 5 s
	1D model deposited:	No
	2D model deposited:	Results only
Licensing	License:	GPL-3.0	e.g., CC-BY 4.0, CC0, proprietary, other
	Preferred citation:	Unknown
	DOI (if any):	Unknown
Data origin and processing	Primary data sources:	DEM (LiDAR-derived), synthetic rainfall scenarios, numerical flood simulations	e.g., sensors, satellites, simulations, mixed, other
	Methodology (short):	Urban pluvial flood simulations were performed using an external 2D hydraulic model. Digital elevation models and synthetic and real rainfall events were used to generate peak flood water depth rasters. The simulation outputs were subsequently used to train machine-learning models (TensorFlow), which are included in the repository.
	Last update date:	12/23/2025	YYYY-MM-DD
	Dataset version:	v1.0
Quality	Validation against observations:	No
	Validation period:	Unknown	YYYY-MM-DD - YYYY-MM-DD
	Performance metrics:	Unknown	e.g., NSE, RMSE, R², Bias, other
	Known limitations:	No full validation against in-situ observations is available. Only peak flood water depth outputs are provided, without full temporal dynamics or flow velocities. Hydraulic model configuration and numerical parameters are not included.
Contact	Maintainer / Contact person:	Unknown
	Organization / Project:	Unknown
	Contact email:	Unknown
	Related publications / links:	Unknown
INPUTS
Group	Existence	Name	Value	Description
Geometry	Yes	Terrain	/inputs/terrain/
Hydrology	Yes	Rainfall	/inputs/rainfall/
Boundaries	No		/
Roughness	No		/
Structures	No		/
OUTPUTS
Group	Existence	Name	Value	Description
Timeseries	No		/
Reports	No		/
Rasters	Yes	Water depth	/outputs/hydraulic/
Maps	No		/
Animations	No		/
Logs	Yes	Training logs	/outputs/ml/