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Integrated Modeling Approach for the Development of Climate-Informed, Actionable Information

Pacific Northwest National Laboratory, Richland, WA 99354, USA
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Water 2018, 10(6), 775; https://doi.org/10.3390/w10060775
Received: 1 May 2018 / Revised: 9 June 2018 / Accepted: 11 June 2018 / Published: 13 June 2018
(This article belongs to the Special Issue Impact of Climate on Hydrological Extremes)
Flooding is a prevalent natural disaster with both short and long-term social, economic, and infrastructure impacts. Changes in intensity and frequency of precipitation (including rain, snow, and rain-on-snow) events create challenges for the planning and management of resilient infrastructure and communities. While there is general acknowledgment that new infrastructure design should account for future climate change, no clear methods or actionable information are available to community planners and designers to ensure resilient designs considering an uncertain climate future. This research demonstrates an approach for an integrated, multi-model, and multi-scale simulation to evaluate future flood impacts. This research used regional climate projections to drive high-resolution hydrology and flood models to evaluate social, economic, and infrastructure resilience for the Snohomish Watershed, WA, USA. Using the proposed integrated modeling approach, the peaks of precipitation and streamflows were found to shift from spring and summer to the earlier winter season. Moreover, clear non-stationarities in future flood risk were discovered under various climate scenarios. This research provides a clear approach for the incorporation of climate science in flood resilience analysis and to also provides actionable information relative to the frequency and intensity of future precipitation events. View Full-Text
Keywords: climate projections; integrated modeling; flood modeling; non-stationarity climate projections; integrated modeling; flood modeling; non-stationarity
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Judi, D.R.; Rakowski, C.L.; Waichler, S.R.; Feng, Y.; Wigmosta, M.S. Integrated Modeling Approach for the Development of Climate-Informed, Actionable Information. Water 2018, 10, 775.

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