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Folders: ROOT > ScienceBase Catalog > National and Regional Climate Adaptation Science Centers > Northeast CASC > FY 2012 Projects > Bringing People, Data, and Models Together – Addressing Impacts of Climate Change on Stream Temperature ( Show direct descendants )

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__National and Regional Climate Adaptation Science Centers
___Northeast CASC
____FY 2012 Projects
_____Bringing People, Data, and Models Together – Addressing Impacts of Climate Change on Stream Temperature
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This study set out to answer the question: “What data and modeling frameworks are needed to provide scientists reliable, climate-informed, water temperature estimates for freshwater ecosystems that can assist watershed management decision making?” To accomplish this, researchers gathered existing stream temperature data, identified data gaps, deployed stream temperature monitoring devices, and developed and tested a stream temperature model that could be regionalized across the Northeast Climate Science Center (NE CSC) domain. Polebitski and colleagues partnered with another NE CSC funded project team, NorEaST-Stream Temperature Web Portal Demonstration and Application, led by Jana Stewart (USGS Wisconsin Water...
Abstract (from http://scholarworks.umass.edu/cee_ewre/72/): In the Northeast U.S. increasing stream temperatures due to climate change pose a serious threat to cool and cold water fish communities, as well as aquatic ecosystems as a whole. In this study, three stream temperature models were implemented for two different case-study basins in the Northeast Climate Science Center region. Two coupled hydrology-stream temperature (physical) models were used: VIC-RBM and SWAT-Ficklin et al. (2012). The third model implemented was a nonlinear regression (statistical) model developed by Mohseni et al. (1998). Metrics were developed to assess these models regarding their prediction skill, data input requirements, spatial...
Water temperature is one of the important characteristics of a stream that can be impacted by anthropogenic change. Such change can have significant ecological implications for the health of riparian systems. It is important for decision-makers to understand the impact of various physical characteristics on the stream temperature regime in a watershed. This research applies a statistical stream temperature model (Mohseni et al, 1998) to 905 sites across the northeastern United States to determine if such models can be useful to resource managers. Statistical analysis on the calibrated model parameters across the best-fit sites is used to provide information on watershed characteristics which may be critical to stream...