The 1996 Mid-Atlantic Winter Flood: Exploring Climate Risk through a Storyline Approach

Author:

Pettett Abigail1,Zarzycki Colin M.1ORCID

Affiliation:

1. a Department of Meteorology and Atmospheric Science, The Pennsylvania State University, University Park, Pennsylvania

Abstract

Abstract This article explores the application of thermodynamic perturbations to a historical midlatitude, wintertime, rain-on-snow flood event to evaluate how similar events may evolve under different climate forcings. In particular, we generate a hindcast of the 1996 Mid-Atlantic flood using an ensemble of 14-km variable-resolution simulations completed with the U.S. Department of Energy’s global Energy Exascale Earth System Model (E3SM). We show that the event is skillfully reproduced over the Susquehanna River Basin (SRB) by E3SM when benchmarked against in situ observational data and high-resolution reanalyses. In addition, we perform five counterfactual experiments to simulate the flood under preindustrial conditions and four different levels of warming as projected by the Community Earth System Model Large Ensemble. We find a nonlinear response in simulated surface runoff and streamflow as a function of atmospheric warming. This is attributed to changing contributions of liquid water input from a shallower initial snowpack (decreased snowmelt), increased surface temperatures and rainfall rates, and increased soil water storage. Flooding associated with this event peaks from around +1 to +2 K of global average surface warming and decreases with additional warming beyond this. There are noticeable timing shifts in peak runoff and streamflow associated with changes in the flashiness of the event. This work highlights the utility of using storyline approaches for communicating climate risk and demonstrates the potential nonlinearities associated with hydrologic extremes in areas that experience ephemeral snowpack, such as the SRB.

Funder

Biological and Environmental Research

Publisher

American Meteorological Society

Subject

Atmospheric Science

Reference66 articles.

1. A global streamflow reanalysis for 1980–2018;Alfieri, L.,2020

2. An independent assessment of anthropogenic attribution statements for recent extreme temperature and rainfall events;Angélil, O.,2017

3. Orographic effects during a severe wintertime rainstorm in the Appalachian Mountains;Barros, A. P.,1998

4. A precipitation shift from snow towards rain leads to a decrease in streamflow;Berghuijs, W. R.,2014

5. Broxton, P., X. Zeng, and N. Dawson, 2019: Daily 4 km gridded SWE and snow depth from assimilated in-situ and modeled data over the conterminous US, version 1. NASA National Snow and Ice Data Center, accessed 12 January 2022, https://doi.org/10.5067/0GGPB220EX6A.

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