Articles | Volume 22, issue 4
Nat. Hazards Earth Syst. Sci., 22, 1371–1393, 2022
Nat. Hazards Earth Syst. Sci., 22, 1371–1393, 2022
Research article
19 Apr 2022
Research article | 19 Apr 2022

A performance-based approach to quantify atmospheric river flood risk

Corinne Bowers et al.

Data sets

The National Map (TNM) Download v2.0 USGS

National Flood Hazard Layer FEMA

Russian River - 32' to 52' Flood Stages - Map County of Sonoma

Buildings County of Sonoma

Parcels Public Shapefile County of Sonoma

Rapid Evaluation Safety Assessment (RESA) Map: 2019 Winter Storms and Flooding County of Sonoma

OpenFEMA Data Sets FEMA

Model code and software

Performance-based Atmospheric River Analysis (PARRA) Framework: Supplemental Code Release (v1.0.2) C. Bowers

tigris: Load Census TIGER/Line Shapefiles K. Walker

rnoaa: NOAA Weather Data from R S. Chamberlain

dataRetrieval: R packages for discovering and retrieving water data available from U.S. federal hydrologic web services L. A. De Cicco, D. Lorenz, R. M. Hirsch, W. Watkins, and M. Johnson

censusapi: Retrieve Data from the Census APIs H. Recht

Short summary
Atmospheric rivers (ARs) cause significant flooding on the US west coast. We present a new Performance-based Atmospheric River Risk Analysis (PARRA) framework that connects models of atmospheric forcings, hydrologic impacts, and economic consequences to better estimate losses from AR-induced river flooding. We apply the PARRA framework to a case study in Sonoma County, CA, USA, and show that the framework can quantify the potential benefit of flood mitigation actions such as home elevation.
Final-revised paper