Chen et al. (2025) The Ensembles forecast data of the Stevens Flood Advisory System

Identification

• Journal: Mendeley Data
• Year: 2025
• Date: 2025-12-30
• Authors: Ziyu Chen, Philip Orton
• DOI: 10.17632/5gghjpwf8m.2

Research Groups

• Stevens Institute of Technology
• Ziyu Chen
• Philip Orton

Short Summary

This paper describes and provides access to the ensemble total water level forecast data generated by the Stevens Flood Advisory System, an operational system since 2016, which supports research into mid-latitude super-ensemble coastal water level forecasting.

Objective

• To describe and make available the ensemble total water level forecast data from the Stevens Flood Advisory System, facilitating research on the advantages and challenges of super-ensemble coastal water level forecasting.

Study Configuration

• Spatial Scale: Coastal regions, specifically mid-latitude areas.
• Temporal Scale: Forecasts generated continuously since 2016.

Methodology and Data

• Models used: Stevens Flood Advisory System (an ensemble total water level forecast system).
• Data sources: Ensemble forecast data generated by the Stevens Flood Advisory System.

Main Results

• The paper provides access to the ensemble total water level forecast data from the Stevens Flood Advisory System, which is utilized for investigating the advantages and challenges of mid-latitude super-ensemble coastal water level forecasting.

Contributions

• Offers a publicly accessible dataset of ensemble total water level forecasts, enabling advanced research in coastal flood prediction and the evaluation of super-ensemble methodologies.

Funding

• Not specified in the provided text.

Citation

@article{Chen2025Ensembles,
  author = {Chen, Ziyu and Orton, Philip},
  title = {The Ensembles forecast data of the Stevens Flood Advisory System},
  journal = {Mendeley Data},
  year = {2025},
  doi = {10.17632/5gghjpwf8m.2},
  url = {https://doi.org/10.17632/5gghjpwf8m.2}
}