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Skagit DHSVM Historic and Future Modeled Streamflow 2018


Authors: Christina Bandaragoda
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Resource type: Composite Resource
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Created: Jun 28, 2018 at 10:49 p.m.
Last updated: Mar 04, 2019 at 3:14 p.m.
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Abstract

The spatially-distributed DHSVM glacio-hydrology model (Frans, 2015; Naz et al. 2014) is a tool for predicting hydrologic states (glaciers, snow, soil moisture, streamflow) within modeled basins for current and future climate conditions. The DHSVM glacio-hydrology model for the Skagit Basin was developed over several years and under three separate agreements with the University of Washington Department of Civil and Environmental Engineering, one with support from Seattle City Light (2013-2014), another with support from the Seattle City Light, the Skagit Climate Science Consortium (SC2), and the Swinomish Indian Tribal Community (2014-2015), and a third with support from the Sauk-Suiattle Indian Tribe (2016-2017).This work builds on the DHSVM-glacier model supported by a 2014-2015 collaboration (managed by the SC2 to model the Skagit (SC2DHSVM2015), and DHSVM-glacier model inputs supported by a 2016-2017 collaboration with the Sauk-Suiattle Indian Tribe managed by SC2. Development of this dataset required use of the current DHSVM glacio-hydrology model and all data produced with the model are a culmination of the three agreements and belong to all five parties. The parties to the original agreements are not responsible for any use of the model or data produced by the model.

The data generated in this work includes:

1.1 Analysis of current streamflow predictions: daily, monthly average, monthly exceedance probabilities, low flows and peak flows, using time periods consistent with data in use for visualization by Skagit Climate Consortium collaborators (1961-2010). Both the daily streamflow and summary statistics are provided.
1.2 Analysis of future streamflow predictions: daily, monthly average, monthly exceedance probabilities, low flows and peak flows, using time periods consistent with data in use for visualization by Skagit Climate Consortium collaborators (2000-2049, 2045-2074, and 2050-2099). Both the daily streamflow and summary statistics will be provided. Both RCP 4.5 and RCP 8.5 are included.

Additional specified locations based on Upper Skagit Indian Tribe planned locations of interest for restoration or further study available on request.

A Google Map of links in the DHSVM digital network selected for streamflow output are available at:
https://www.google.com/maps/d/u/0/edit?mid=1z9yxQ6P_mPsu4NZyqP4Pj8OWJ1CGmi9R&ll=48.631435868567515%2C-121.51666349999999&z=9

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How to Cite

Bandaragoda, C. (2019). Skagit DHSVM Historic and Future Modeled Streamflow 2018, HydroShare, http://www.hydroshare.org/resource/f4a060f538184d49b642b7c079cbe0be

This resource is shared under the Creative Commons Attribution CC BY.

 http://creativecommons.org/licenses/by/4.0/
CC-BY

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