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Climate change is expected to alter stream temperature and flow regimes over the coming decades, and in turn influence distributions of aquatic species in those freshwater ecosystems. To better anticipate these changes, there is a need to compile both short- and long-term stream temperature data for managers to gain an understanding of baseline conditions, historic trends, and future projections. Unfortunately, many agencies lack sufficient resources to compile, conduct quality assurance and control, and make accessible stream temperature data collected through routine monitoring. Yet, pooled data from multiple sources, even if temporally and spatially inconsistent, can have great value both in the realm of stream...
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Observed water temperatures from 1980-2018 were compiled for 68 lakes in Minnesota and Wisconsin (USA). These data were used as training data for process-guided deep learning models and deep learning models, and calibration data for process-based models. The data are formatted as a single csv (comma separated values) file with attributes corresponding to the unique combination of lake identifier, time, and depth. Data came from a variety of sources, including the Water Quality Portal, the North Temperate Lakes Long-Term Ecological Research Project, and digitized temperature records from the MN Department of Natural Resources.
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This dataset includes "test data" compiled water temperature data from an instrumented buoy on Sparkling Lake, WI and discrete (manually sampled) water temperature records from North Temperate Lakes Long-TERM Ecological Research Program (NTL-LTER; https://lter.limnology.wisc.edu/). The buoy is supported by both the Global Lake Ecological Observatory Network (gleon.org) and the NTL-LTER. The dataset also includes Sparkling Lake model erformance as measured as root-mean squared errors relative to temperature observations during the test period. This dataset is part of a larger data release of lake temperature model inputs and outputs for 68 lakes in the U.S. states of Minnesota and Wisconsin (http://dx.doi.org/10.5066/P9AQPIVD).
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This dataset includes compiled water temperature data from an instrumented buoy on Sparkling Lake, WI and discrete (manually sampled) water temperature records from North Temperate Lakes Long-TERM Ecological Research Program (NTL-LTER; https://lter.limnology.wisc.edu/). The buoy is supported by both the Global Lake Ecological Observatory Network (gleon.org) and the NTL-LTER. This dataset is part of a larger data release of lake temperature model inputs and outputs for 68 lakes in the U.S. states of Minnesota and Wisconsin (http://dx.doi.org/10.5066/P9AQPIVD).
The Yukon River Inter-Tribal Watershed Council's (YRITWC) Indigenous Observation Network (ION) is one of the largest indigenous science networks in the world. This network consists of 70 indigenous nations from northern British Columbia, Yukon, and Alaska, all working together towards the preservation and protection of the Yukon River watershed. How is this accomplished? Water sampling from the headwaters to the mouth of the Yukon River and its major tributaries. Here is a story of the Ta'an Kwach'an Council and their experience collecting water samples from the Yukon River near Whitehorse, Yukon.
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Alaska is an ecologically, commercially, and recreationally diverse state, providing value to people and terrestrial and aquatic species alike. Presently, Alaska is experiencing climatic change faster than any other area of the United States, but across the state, comprehensive environmental monitoring is logistically difficult and expensive. For instance, only about 1% of U.S Geological Survey (USGS) stream gages are in Alaska, and only about 50% of those gages measure water temperature, an important climate change indicator. In this study, predictive models are being used to map stream temperatures under current and future climate scenarios across the Yukon and Kuskokwim River basins (YKRB) at the stream reach...
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This collection contains GSFLOW and R-RHESSys model input and output files. CSC_model_files contains the baseline Cleve Creek model, T-only change model, and T-P change model. Model_results.rar is from R-RHESSYS model of climate projections of drought during the next 30 years (2016-2035) for the Cleve Creek watershed in Nevada. Within the .rar packaging are .dat files that contain outputs including net primary productivity (NPP), leaf area index (LAI), actual evapotranspiration (AET), soil moisture, groundwater level, streamflow, snow pack (as snow water equivalent, SWE). Geographic information: Site is Cleve Creek, a headwaters basin to Spring Valley in Eastern Nevada. Lower left corner of model grid is 701984...
Abstract (from AGU10): The semiarid Salt and Verde River Basins in Arizona are susceptible to atmospheric river (AR)‐related flooding. To understand the precipitation‐related impacts of climate change on extreme ARs affecting Arizona, a pseudo‐global warming method was used. High‐resolution control and future simulations of five intense historical AR events that affected the Salt and Verde River Basins in Central Arizona were carried out using the Weather Research and Forecasting regional climate model. The pseudo‐global warming approach for future simulations involved adding a temperature delta at different vertical levels to the historical initial and lateral boundary conditions of the input data while keeping...
Nov 26, 2013 presentation by Seth Wenger, Trout Unlimited; w/ Dan Isaak, USFS Rocky Mountain Research Station & Jason Dunham, USGS, Forest & Rangeland Ecosystem Science Cntr. The presentation explains an analytic approach that calculates a full distribution of possible outcomes for a species; and permits ready graphical display of uncertainty for individual locations and of total habitat. This is based on the journal publication, "Probabilistic accounting of uncertainty in forecasts of species distributions under climate change," and a bull trout suitable habitat analysis is used to illustrate methods. See: Global Change Biology, DOI:10.1111/gcb.12294 Sponsored by the Northwest Climate Science Center and the Pacific...
The following spreadsheets contain pebble counts presented as %finer. Each site name, reach, and cross section are denoted in the rows at the top. Statistical measures including geometric mean and standard deviation for each cross section are enumerated at the bottom
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Mean modeled snow-water-equivalent (meters) on March 13, the date of peak basin-integrated mean modeled snow-water-equivalent (meters) for the T2 climate change scenario. T2 scenario: the observed historical (reference period) meteorology is perturbed by adding +2°C to each daily temperature record in the reference period meteorology, and this data is then used as input to the model.
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Mean modeled snow-water-equivalent (meters) on April 1 for the T2P10 climate change scenario. T2P10 scenario: the observed historical (reference period) meteorology is perturbed by adding +2°C to each daily temperature record, and +10% precipitation to each daily precipitation record in the reference period meteorology, and this data is then used as input to the model.
...About 300 miles away from Kolden’s office at the University of Idaho in Moscow, is the Boise office of the US Geological Survey (USGS)’s Western Geographic Science Center and the base of Jason Kreitler, a USGS research geographer. Like Kolden, Kreitler has spent considerable time thinking about the policies that shape wildland fire management. However, Kreitler is examining the problem with a different lens, using economics and social science. Kreitler explains his research focus like this: “We have fixed budgets for most, if not all, of our public land management, so the question is, how do we optimize the use of those funds to best meet our conservation goals, like protecting biodiversity or ecosystem services?...
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Contains two layers: 1. Bull Trout Vulnerability Assessment: This analysis was generated to show the relative vulnerability of bull trout across the Columbia basin. Input variables include the prportion of valley bottom (e.g. floodplains), the average max summer temperature (July 15th to Sept 15th), and winter flood frequency (the frequency of high flow events exceeding the 95th percentile from December through March) for a given watershed. The estimates for temperature and flow were taken from the mouth of the watershed. This analysis includes historic and future (2040s scenario). Stream temperature and flow data are avaliable at rap.ntsg.umt.edu. See Wu H, Kimball JS, Elsner MM, Mantua N, Adler RF, Stanford...
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Climate change and the extreme weather associated with it can be a major challenge to landowners and land managers interested in the protection, restoration, recovery, and management of wetlands and wildlife habitats. The Midwest is not only experiencing an increase in average temperatures and precipitation, but also an increase in the frequency of extreme events, such as heat waves and floods. Forecasting the potential impacts of the changes over the next 25 to 50 years will be important for decision makers and landowners seeking to minimize the impacts to infrastructure and to the habitats themselves and prepare for the future. Changes in flood frequency threaten habitat management infrastructure and actions,...
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Previous climate change research for the Colorado River Basin has used down-scaled climate models to predict impacts to hydropower and the potential ability to meet mandated water releases. The Lower Colorado River Basin (LCRB) has one of the most imperiled fish faunas in the nation with about half of the native fish species listed as Threatened or Endangered under the Federal Endangered Species Act. Current water demands for agriculture and human consumption are only slightly less than long-term annual flows. Future projections based on climate change alone indicate decreased precipitation, increased temperatures, and lower annual runoff which will further stress this ecosystem that is experiencing among the highest...
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High latitude northern ecosystems are currently warming twice as fast as the global average. Over the last several decades, this has caused dramatic losses of frozen area in the Arctic and sub-Arctic. However, it is unclear how melting coastal mountain glaciers, thawing permafrost, and declines in snowpack will affect the quality of freshwater habitat for culturally and economically important salmon in Alaska. As a collaborative effort with the Alaska Department of Fish and Game, the Alaska Department of Natural Resources, and the U.S. Fish and Wildlife Service, this project aims to answer three questions: How does melting affect the freshwater habitat of Pacific salmon? How will changes to aquatic flows...
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The Colorado River and its major tributaries provide a crucial water supply for more than 40 million people in the American Southwest and in California. This water supply is primarily used in irrigated agriculture but also provides essential drinking water to many large metropolitan areas. Hydropower is also produced at many of the large dams on the river. River flows have declined during the past 15 years due to decreasing watershed runoff associated with a warming climate and ongoing drought. Climate projections indicate a continued decrease in future water availability as runoff continues to decline and temperatures warm. Water-users in the Colorado River basin are concerned about this declining water availability...
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Understanding freshwater flow is frequently highlighted as a priority in land management planning and assessments. Changes in climate can impact streamflow through reduced snowpack and snowfall, earlier spring runoff, increased winter flow and flooding, and decreased summer flow. In Southeast Alaska, streamflow is expected to shift dramatically in response to changes in factors such as precipitation and air temperature. Understanding how streamflow might change is instrumental not only for predicting changes in plant distribution and soil moisture, but also for infrastructure planning. Culvert replacement, bridge design, hydropower development, water reservoir placement, and floodplain restoration planning all require...
map background search result map search result map Projected Climate and Land Use Change Impacts on Aquatic Habitats of the Lower Colorado River Basin (Regional Assessment) Bull Trout Vulnerability Assessment in Columbia River Basin Geodatabase Modeled snow-water-equivalent, projected seasonal peak values under T2 climate change scenario, McKenzie River Basin, Oregon [full and clipped versions] Modeled snow-water-equivalent, projected April 1 values under T2P10 climate change scenario, Upper Deschutes River Basin, Oregon [full and clipped versions] Linking climate, hydrology and ecological changes at intermediate timescales in Cleve Creek, Eastern Nevada Projecting Future Streamflow in Southeast Alaska Vulnerability Assessment and Adaptation Planning for Projected Changes in Water Quality and Quantity for Protected Areas in the Upper Mississippi Watershed The Impacts of Climate Change and Water Supply Management on Fish in the Colorado River Process-guided deep learning water temperature predictions: 4b Sparkling Lake detailed training data Process-guided deep learning water temperature predictions: 4c All lakes historical training data Process-guided deep learning water temperature predictions: 6b Sparkling Lake detailed evaluation data Climate Vulnerability of Aquatic Species to Changing Stream Temperatures and Wildfire Across the Yukon and Kuskokwim River Basins, Alaska Future of Aquatic Flows: Impacts of Cryospheric Change on Aquatic Flows and Freshwater Habitat Quality for Fish and Communities Process-guided deep learning water temperature predictions: 4b Sparkling Lake detailed training data Process-guided deep learning water temperature predictions: 6b Sparkling Lake detailed evaluation data Linking climate, hydrology and ecological changes at intermediate timescales in Cleve Creek, Eastern Nevada Modeled snow-water-equivalent, projected April 1 values under T2P10 climate change scenario, Upper Deschutes River Basin, Oregon [full and clipped versions] Modeled snow-water-equivalent, projected seasonal peak values under T2 climate change scenario, McKenzie River Basin, Oregon [full and clipped versions] Process-guided deep learning water temperature predictions: 4c All lakes historical training data Projected Climate and Land Use Change Impacts on Aquatic Habitats of the Lower Colorado River Basin (Regional Assessment) Bull Trout Vulnerability Assessment in Columbia River Basin Geodatabase Projecting Future Streamflow in Southeast Alaska The Impacts of Climate Change and Water Supply Management on Fish in the Colorado River Vulnerability Assessment and Adaptation Planning for Projected Changes in Water Quality and Quantity for Protected Areas in the Upper Mississippi Watershed Climate Vulnerability of Aquatic Species to Changing Stream Temperatures and Wildfire Across the Yukon and Kuskokwim River Basins, Alaska Future of Aquatic Flows: Impacts of Cryospheric Change on Aquatic Flows and Freshwater Habitat Quality for Fish and Communities