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| Type: | Resource | |
| Storage: | The size of this resource is 289.6 MB | |
| Created: | Aug 07, 2023 at 9:38 p.m. | |
| Last updated: | Nov 20, 2023 at 1:54 p.m. | |
| DOI: | 10.4211/hs.62102d9b9bc64b5e8efd3cde8192cd18 | |
| Citation: | See how to cite this resource |
| Sharing Status: | Published |
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| Views: | 253 |
| Downloads: | 36 |
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Abstract
The following is the code utilized to conduct the analysis for "Disentangling the sources of uncertainties in the projection of floods risks in the Central United States (Iowa)" located in Geophysical Research Letters.
All data used in this study is publicly available. Climate model data was downloaded from the WCRP Coupled Model Intercomparison Project (Phase 6) data portal found at https://esgf-node.llnl.gov/search/cmip6/. Information for the Hillslope Link Model can be obtained at https://asynch.readthedocs.io/en/latest/index.html. Hydrologic simulations results are available across the study site at https://iowafloodfrequency.iihr.uiowa.edu/.
Abstract:
Climate change projections are uncertain and what drives this uncertainty and how it propagates to flood impacts are not well understood. Here we explore the projected changes in flood impacts across Iowa (central United States) by forcing a hydrologic model with downscaled global climate model (GCM) outputs and four Shared Socioeconomic Pathways (SSP126, SSP245, SSP370, and SSP585). Our results point to projected increasing magnitude and variability in flooding across the state, especially for high-emission scenarios (i.e., SSP370 and SSP585). Moreover, we partition the flood impacts’ projections into (1) the response of the GCMs to anthropogenic forcing, (2) scenario uncertainty, and (3) internal climate variability. We find scenario uncertainty plays a small role, while model uncertainty and internal climate variability dominate the flood impacts’ projections, with the contribution of model uncertainty increasing towards the end of this century. Our results provide information about future flood impacts, as well as insights into the largest sources of uncertainty.
Subject Keywords
Coverage
Spatial
Temporal
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Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
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| Iowa Department of Transportation | 20-SPR2-002 |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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