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Bart Nijssen

As seen in: Color Research & Application, Nature
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Articles

A century long ensemble streamflow dataset in the Pacific Northwest to support water security assessments - Scientific Data

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By Naoki Mizukami, Ethan Gutmann, Andrew Wood, Bart Nijssen, Michael Warner, Christopher D. Frans, Chanel Mueller
| Nature Verified
Abstract In the Pacific Northwest, ensemble projected streamflow datasets are valuable for assessing vulnerabilities and the resilience of reservoir systems across the region. These datasets are typically generated using a climate-hydrologic modeling chain that begins with coarse-resolution outputs from selected Earth System Model (ESMs) and socioeconomic scenarios, which are spatially downscaled, followed by hydrologic simulations driven by the downscaled meteorological forcing.
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CH-Earth/summa: [Pre-release] SUMMA v4.0.0

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By Bart Nijssen, Andrew Bennett, Martyn P. Clark, Wouter Knoben, Grey S. Nearing, Michael Tianhao Ou, Andy Wood, Andy Newman, Sean J. Trim, Ethan Gutmann, Guoqiang Tang, Elizabeth Clark, Mohamed Ahmed, Nans Addor, Zhaoxin Ban, Nic Wayand, Cassie Lumbrazo, Kyle Klenk, Tony Castronova, Stan Schymanski, Jiri Kuncar
| zenodo.org
This is part of a work-in-progress release in the preparation for SUMMA v4.0.0. Changes are primarily the inclusion of the SUNDIALS solver, but also include refactoring of parts of the code. The full v4.0.0 release will contain additional features beyond these.
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Vegetation Representation Influences Projected Streamflow Changes in the Colorado River Basin

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By Andrew Wood, Naoki Mizukami, Bart Nijssen, William Ryan Currier
| ametsoc.org
Keywords: Forest canopy; Water resources; Climate change; Evapotranspiration; Hydrology; Hydrologic models 1. Introduction Regional hydrologic changes in a future climate are commonly estimated using a system of models, termed the impact modeling chain (Bosshard et al. 2013).
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