Liao (2026) On the storm direction and peak floods in the continental United States, 1950–2024
Identification
- Journal: Journal of Hydrology
- Year: 2026
- Date: 2026-07-13
- Authors: Mochi Liao
- DOI: 10.1016/j.jhydrol.2026.136029
Research Groups
- Civil and Environmental Engineering, University of Illinois Urbana-Champaign
Short Summary
This study investigates the relationship between storm direction and flood peaks using real-world events and watersheds in the continental United States. The results show that storm directions are highly variable in space and time but align with topography and climate regimes.
Objective
- Investigate the impact of storm direction on flood peak magnitudes using real-world events and watersheds.
- Develop a new storm direction framework to analyze storm properties across the continental United States.
Study Configuration
- Spatial Scale: Continental United States (CONUS)
- Temporal Scale: 1950–2024
Methodology and Data
- Models used: ERA5-Land (ERA5L) and Analysis Of Record for Calibration (AORC)
- Data sources: Reanalysis datasets, satellite data, and surface measurement-based reanalysis
Main Results
- Storm directions are highly variable in space and time but align with topography and climate regimes.
- Storm travel distance is longer by a median of 35 km across watersheds when the storm comes from a preferential direction versus other directions.
- PPP does not show a global or regional bias depending on storm direction, but it varies significantly at smaller scales.
Contributions
- This study provides new insights into the relationship between storm direction and flood peak magnitudes using real-world events and watersheds.
- The developed storm direction framework can be applied to other regions and studies to investigate the impact of storm direction on flood peaks.
Funding
- This research was funded by [project name], [program name], and [reference code].
Citation
@article{Liao2026storm,
author = {Liao, Mochi},
title = {On the storm direction and peak floods in the continental United States, 1950–2024},
journal = {Journal of Hydrology},
year = {2026},
doi = {10.1016/j.jhydrol.2026.136029},
url = {https://doi.org/10.1016/j.jhydrol.2026.136029}
}
Original Source: https://doi.org/10.1016/j.jhydrol.2026.136029