EconPapers    
Economics at your fingertips  
 

One-way coupling of E3SM with ADCIRC demonstrated on Hurricane Harvey

Benjamin Pachev (), L. Ruby Leung (), Tian Zhou () and Clint Dawson ()
Additional contact information
Benjamin Pachev: The University of Texas at Austin
L. Ruby Leung: Pacific Northwest National Laboratory
Tian Zhou: Pacific Northwest National Laboratory
Clint Dawson: The University of Texas at Austin

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2023, vol. 119, issue 3, No 38, 2063-2087

Abstract: Abstract Tropical cyclones (TCs) represent a major threat to coastal communities and cause billions of dollars in economic damage yearly. Much of the TC damage is due to extreme flooding caused by a combination of coastal storm surge and heavy rainfall runoff. Accurate modeling of flooding hazards due to TCs needs to account for all relevant factors. However, some models used in operational forecasting of flood risk focus only on the storm surge, ignoring the risk of compound flooding due to the combined effects of storm surge and streamflow in the coastal zone, which requires storm surge models to be coupled with a hydrologic model that captures precipitation-driven riverine flooding. Here, we present a novel one-way coupling of the river component of the Energy Exascale Earth System Model (E3SM) with the ADvanced CIRCulation model (ADCIRC). The coupled model is validated against NOAA tidal gauge observations for Hurricane Harvey (2017). We find that the coupled model significantly improves the predicted water elevation relative to the standalone ADCIRC baseline. Validating the streamflow predictions from the river model against USGS streamflow gauge data for a variety of model configurations shows that the streamflow predictions are reasonably accurate even for the extreme discharge during Hurricane Harvey. Comparing simulations produced by different hydrologic model configurations, more accurate streamflow predictions generally correlate with better flooding level predictions in the coupled model, further supporting the role of streamflow modeling in forecasting coastal flooding induced by hurricanes.

Keywords: Storm surge; River routing; Coupled model; Compound flooding; ADCIRC; MOSART (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11069-023-06192-7 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:nathaz:v:119:y:2023:i:3:d:10.1007_s11069-023-06192-7

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11069

DOI: 10.1007/s11069-023-06192-7

Access Statistics for this article

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards is currently edited by Thomas Glade, Tad S. Murty and Vladimír Schenk

More articles in Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards from Springer, International Society for the Prevention and Mitigation of Natural Hazards
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:nathaz:v:119:y:2023:i:3:d:10.1007_s11069-023-06192-7