kasaei et al. (2025) Dataset supporting 'Compounding of 100-year coastal floods by rainfall in an urban environment'

Identification

• Journal: Mendeley Data
• Year: 2025
• Date: 2025-12-25
• Authors: shima kasaei, Philip Orton
• DOI: 10.17632/txy8rdkvf8

Research Groups

• Stevens Institute of Technology

Short Summary

This paper investigates how rainfall exacerbates 100-year coastal flood events in urban environments, aiming to quantify the compounding effects of these two flood drivers.

Objective

• To quantify the compounding effects of rainfall on 100-year coastal floods within an urban environment.

Study Configuration

• Spatial Scale: An urban environment (specific location not detailed in the provided text).
• Temporal Scale: Analysis of 100-year coastal flood events, implying a focus on extreme event probabilities rather than a continuous time series.

Methodology and Data

• Models used: Not explicitly stated, but the study utilizes hydrological/hydrodynamic models to simulate flood events.
• Data sources: Model input and output files generated for the study; specific primary data sources for model inputs (e.g., meteorological data, topographic data) are not detailed.

Main Results

• The provided text describes a dataset supporting the study, but does not detail the specific quantitative results of the paper. It is inferred that the study quantifies the increased flood levels or extents due to the compounding of rainfall with 100-year coastal floods in an urban setting.

Contributions

• The article contributes to understanding and quantifying the complex interaction and compounding of extreme rainfall and coastal flooding, particularly for high-return-period events in vulnerable urban coastal areas.

Funding

• Not specified in the provided text.

Citation

@article{kasaei2025Dataset,
  author = {kasaei, shima and Orton, Philip},
  title = {Dataset supporting 'Compounding of 100-year coastal floods by rainfall in an urban environment'},
  journal = {Mendeley Data},
  year = {2025},
  doi = {10.17632/txy8rdkvf8},
  url = {https://doi.org/10.17632/txy8rdkvf8}
}