Capturing Sub-Kilometer Flood Inundation Dynamics during the California Rain-on-Snow Events of 2017

The severe impacts of rain-on-snow (ROS) extreme events have been widely recognized and studied. However, unlike hydrological processes, flood inundation dynamics during ROS events remain under-investigated, despite their importance for flood risk assessment and management. We diagnosed and documented heterogeneous, sub-kilometer spatio-temporal dynamics of flood inundation during the 2017 California ROS events, simulated by a 2-dimensional hydrodynamic model, River Dynamic Core (RDycore). RDycore shows good performance in capturing fine-scale flood inundation dynamics against gauge measurements (with a median correlation coefficient of 0.81) and satellite observations. Topography plays a critical role in shaping maximum water height, accounting for 34% of its spatial variability, while runoff volume explains 22%. Even with small runoff, regions with flat slopes or elevation below 1500m can experience high flooded area ratios exceeding 10%. Our findings offer an explicit and accurate picture of when and where ROS flooding could occur, valuable for risk assessment and infrastructure planning.

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Publication Details

Published
2025-08-14
DOI
https://doi.org/10.22541/essoar.175518181.19932329/v1
Primary Topic
Groundwater and Isotope Geochemistry
Type
article
Field-Weighted Citation Impact
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article

Capturing Sub-Kilometer Flood Inundation Dynamics during the California Rain-on-Snow Events of 2017

Groundwater and Isotope Geochemistry
article

Capturing Sub-Kilometer Flood Inundation Dynamics during the California Rain-on-Snow Events of 2017

article en

Abstract

The severe impacts of rain-on-snow (ROS) extreme events have been widely recognized and studied. However, unlike hydrological processes, flood inundation dynamics during ROS events remain under-investigated, despite their importance for flood risk assessment and management. We diagnosed and documented heterogeneous, sub-kilometer spatio-temporal dynamics of flood inundation during the 2017 California ROS events, simulated by a 2-dimensional hydrodynamic model, River Dynamic Core (RDycore). RDycore shows good performance in capturing fine-scale flood inundation dynamics against gauge measurements (with a median correlation coefficient of 0.81) and satellite observations. Topography plays a critical role in shaping maximum water height, accounting for 34% of its spatial variability, while runoff volume explains 22%. Even with small runoff, regions with flat slopes or elevation below 1500m can experience high flooded area ratios exceeding 10%. Our findings offer an explicit and accurate picture of when and where ROS flooding could occur, valuable for risk assessment and infrastructure planning.

Pacific Northwest National Laboratory (US)
U.S. Department of Energy, Battelle, National Energy Research Scientific Computing Center, Office of Science, Biological and Environmental Research, Pacific Northwest National Laboratory
Climate action
Openalex Percentile: Top 44%
Groundwater and Isotope Geochemistry
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Capturing Sub-Kilometer Flood Inundation Dynamics during the California Rain-on-Snow Events of 2017 · (2025) | TGRS Research Map | TGRS