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Northwest CASC

Tribal nations have been actively engaged in efforts to understand climate risks to their natural and cultural resources, and what they can do to prepare. We have carefully selected a suite of resources that may be useful to tribes at each stage in the process of evaluating their vulnerability to climate change—from tribes just getting started to those well on their way.
Knowledge of snow cover distribution and disappearance dates over a wide range of scales is imperative for understanding hydrological dynamics and for habitat management of wildlife species that rely on snow cover. Identification of snow refugia, or places with relatively late snow disappearance dates (SDDs) compared to surrounding areas, is especially important as climate change alters snow cover timing and duration. The purpose of this study was to increase understanding of snow refugia in complex terrain spanning the rain-snow transition zone at fine spatial and temporal scales. To accomplish this objective, we used remote cameras to provide relatively high temporal and spatial resolution measurements on snowpack...
Categories: Publication; Types: Citation
This management brief summarizes the results of a project evaluating the scientific body of research on climate adaptation actions relevant to ecological drought. This adaptation science assessment evaluated strategies developed and prioritized by participants at regional adaptation workshops by synthesizing supporting evidence from the literature. The brief presents findings on the benefits and limitations of these climate adaptation options from the accompanying report, Extremes to Ex-Streams: Ecological Drought Adaptation in a Changing Climate.
Abstract (from ScienceDirect): The U.S. Geological Survey (USGS) has developed the PRObability of Streamflow PERmanence (PROSPER) model, a GIS raster-based empirical model that provides streamflow permanence probabilities (probabilistic predictions) of a stream channel having year-round flow for any unregulated and minimally-impaired stream channel in the Pacific Northwest region, U.S. The model provides annual predictions for 2004–2016 at a 30-m spatial resolution based on monthly or annually updated values of climatic conditions and static physiographic variables associated with the upstream basin. Predictions correspond to any pixel on the channel network consistent with the medium resolution National Hydrography...
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