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GNN4CF: Dataset for Boundary-Aware Graph Neural Networks for Compound Flood Forecasting

Authors:
Owners:		This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource.
Type:	Resource
Storage:	The size of this resource is 17.3 GB
Created:	Sep 23, 2026 at 4:49 a.m. (UTC)
Last updated:	Sep 24, 2026 at 3:43 a.m. (UTC)
Citation:	See how to cite this resource
Content types:	CSV Content

Sharing Status:	Public
Views:	189
Downloads:	48
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Comments:	1 comment

Abstract

This HydroShare resource contains the dataset supporting the study “Boundary-Aware Graph Neural Networks for Compound Flood Forecasting.” The data were generated from HEC-RAS simulations of compound flooding in Portsmouth, Virginia, under rainfall and coastal water-level forcing. The resource includes processed inputs and hydraulic outputs used to train, validate, and evaluate the GNN4CF framework, including graph-based hydraulic information, forcing variables, and simulated flood-response data. The dataset supports the model comparisons, ablation studies, forecast-stability assessment, and generalization experiments presented in the manuscript. The resource is provided to support reproducibility and future research on machine-learning surrogates for compound coastal flooding.

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Coverage

Spatial

Coordinate System/Geographic Projection:

WGS 84 EPSG:4326

Coordinate Units:

Decimal degrees

Place/Area Name:

Portsmouth city, VA

Longitude

-76.3115°

Latitude

36.8243°

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Related Resources

This resource is referenced by

Zandsalimi, Z., Taghizadeh, M., Shafiee-Jood, M., and Alemazkoor, N. (2026). Boundary-Aware Graph Neural Networks for Compound Flood Forecasting. Water Resources Research, under review.

How to Cite

Zandsalimi, Z. (2026). GNN4CF: Dataset for Boundary-Aware Graph Neural Networks for Compound Flood Forecasting, HydroShare, http://www.hydroshare.org/resource/32aac3af553c4e1fbb997ec58d9de9b6

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/

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