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To meet the climate change planning and adaptation needs of Alaska managers and decision makers, I developed a set of statewide summaries of available climate change projections that can be further subset using GIS techniques for requests by management unit, watershed, or other location. This facilitates the development of tailored climate futures for decision makers’ regional or subregional management context. This file describes the source data and summaries for purposes of technical /scientific documentation. The methods and presentation for these datasets were adapted from products in previous USGS-approved IP products for the AKCASC Building Resilience Today project (e.g, Community of Kotlik et al. 2019)....
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Increasing temperatures and decreasing precipitation threaten the persistence of the Rio Grande cutthroat trout, the southernmost subspecies of cutthroat trout, found only in parts of New Mexico and Colorado. This subspecies appears to be more vulnerable to drought than more northern subspecies, because it occupies small and fragmented streams which are at greater risk of drying up during drought. Most notably, in 2002 drought in the Southwest resulted in the loss of 14 different Rio Grande cutthroat trout populations – about 10% of the total population. While it is known that drought is having an effect on Rio Grande cutthroat trout, the specific ways in which individuals and populations are affected by drought...
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As part of the periodic update of the geothermal energy assessments for the USA (e.g., last update by Williams and others, 2008), a new three-dimensional temperature map has been constructed for the Great Basin, USA. Williams and DeAngelo (2011) identified uncertainty in estimates of conductive heat flow near land surface as the largest contributor to uncertainty in previously published temperature maps. The new temperature maps incorporate new conductive heat flow estimates developed by DeAngelo and others (2023). Predicted temperatures at depth are compared with representative measurements (for conductively dominated conditions), showing good agreement under relatively simple uniform conditions. Inputs included...
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This model archive provides all data, code, and modeling results used in Barclay and others (2023) to assess the ability of process-guided deep learning stream temperature models to accurately incorporate groundwater-discharge processes. We assessed the performance of an existing process-guided deep learning stream temperature model of the Delaware River Basin (USA) and explored four approaches for improving groundwater process representation: 1) a custom loss function that leverages the unique patterns of air and water temperature coupling resulting from different temperature drivers, 2) inclusion of additional groundwater-relevant catchment attributes, 3) incorporation of additional process model outputs, and...
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This data release child item contains fiber-optic distributed temperature sensor (FO-DTS) data collected along the western unwalled shoreline of the Bremerton Naval Complex, Bremerton, Washington, USA from July 30, 2020, to August 11, 2020. Continuous profiles of water temperature were collected along a spatially georeferenced fiber optic cable deployed in an out-and-back U-shape with approximately 2- meter distance between the parallel cable lengths by a Sensornet® Oryx DTS FO-DTS (Fiber-optic distributed temperature sensor). Data were collected in a single ended configuration with two channels, Channel_1 and Channel_2, where water temperature was spatially averaged over 1.01- meter linear intervals by the Oryx...
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This Data Release provides stream temperature data (13 sites) and fish community data (3 sites) in Big Hunting Creek, Maryland. Data were collected during summer baseflow conditions in 2023. This product supports brook trout conservation and restoration research needs identified by Maryland Department of Natural Resources. We collected temperature data with Onset ProV2 water temperature gages in slotted PVC housings mounted to the stream substrates with rebar. Gages recorded temperature every 15 minutes from July 11, 2023 (midnight) until July 15, 2023 (midnight) (337 observations per site). We collected fish community data following Maryland Department of Natural Resources protocols (Maryland Biological Stream...
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The CoRE (Contractions or Range Expansions) database contains a library of published literature and data on species range shifts in response to climate change. Through a systematic review of publications returned from searches on Google Scholar, Web of Science, and Scopus, we selected primary research articles that documented or attempted to document species-level distribution shifts in animal or plant species in response to recent anthropogenic climate change. We extracted data in four broad categories: (i) basic study information (study duration, location, data quality and methodological factors); (ii) basic species information (scientific names and taxonomic groups); (iii) information on the observed range shifts...


    map background search result map search result map The Effects of Drought on Rio Grande Cutthroat Trout: The Role of Stream Flow and Temperature 2. Fiber Optic Distributed Temperature Sensing survey along the unwalled shoreline of Operable Unit A, Bremerton Naval Complex, WA, July 30 - August 11, 2020 Model Code, Outputs, and Supporting Data for Approaches to Process-Guided Deep Learning for Groundwater-Influenced Stream Temperature Predictions Stream temperature and fish community data upstream and downstream of an impoundment in Big Hunting Creek, Maryland Three-dimensional temperature model of the Great Basin, USA Stream temperature and fish community data upstream and downstream of an impoundment in Big Hunting Creek, Maryland 2. Fiber Optic Distributed Temperature Sensing survey along the unwalled shoreline of Operable Unit A, Bremerton Naval Complex, WA, July 30 - August 11, 2020 The Effects of Drought on Rio Grande Cutthroat Trout: The Role of Stream Flow and Temperature Model Code, Outputs, and Supporting Data for Approaches to Process-Guided Deep Learning for Groundwater-Influenced Stream Temperature Predictions Three-dimensional temperature model of the Great Basin, USA