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Process-guided deep learning water temperature predictions: 2 Model configurations (lake metadata and parameter values) This dataset provides model specifications used to estimate water temperature from a process-based model (Hipsey et al. 2019). The format is a single JSON file indexed for each lake based on the "site_id". 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). Categories: Data; Tags: 007, 012, Fish, MN, Minnesota, All tags... Northeast CASC, Rivers, Streams and Lakes, US, United States, WI, Water, Coasts and Ice, Wildlife and Plants, Wisconsin, climate change, deep learning, environment, hybrid modeling, inlandWaters, machine learning, modeling, reservoirs, temperate lakes, temperature, thermal profiles, water, Fewer tags Process-guided deep learning water temperature predictions: 3b Sparkling Lake inputs This dataset includes model inputs that describe local weather conditions for Sparkling Lake, WI. Weather data comes from two sources: locally measured (2009-2017) and gridded estimates (all other time periods). There are two comma-delimited files, one for weather data (one row per model timestep) and one for ice-flags, which are used by the process-guided deep learning model to determine whether to apply the energy conservation constraint (the constraint is not applied when the lake is presumed to be ice-covered). The ice-cover flag is a modeled output and therefore not a true measurement (see "Predictions" and "pb0" model type for the source of this prediction). This dataset is part of a larger data release of... Categories: Data; Tags: 007, 012, Fish, Northeast CASC, Rivers, Streams and Lakes, All tags... US, United States, WI, Water, Coasts and Ice, Wildlife and Plants, Wisconsin, climate change, deep learning, environment, hybrid modeling, inlandWaters, machine learning, modeling, reservoirs, temperate lakes, temperature, thermal profiles, water, Fewer tags Process-guided deep learning water temperature predictions: 5c All lakes historical prediction data Multiple modeling frameworks were used to predict daily temperatures at 0.5m depth intervals for a set of diverse lakes in the U.S. states of Minnesota and Wisconsin. Process-Based (PB) models were configured and calibrated with training data to reduce root-mean squared error. Uncalibrated models used default configurations (PB0; see Winslow et al. 2016 for details) and no parameters were adjusted according to model fit with observations. Deep Learning (DL) models were Long Short-Term Memory artificial recurrent neural network models which used training data to adjust model structure and weights for temperature predictions (Jia et al. 2019). Process-Guided Deep Learning (PGDL) models were DL models with an added... Categories: Data; Tags: 007, 012, Fish, MN, Minnesota, All tags... Northeast CASC, Rivers, Streams and Lakes, US, United States, WI, Water, Coasts and Ice, Wildlife and Plants, Wisconsin, climate change, deep learning, environment, hybrid modeling, inlandWaters, machine learning, modeling, reservoirs, temperate lakes, temperature, thermal profiles, water, Fewer tags Process-guided deep learning water temperature predictions: 3c All lakes historical inputs This dataset includes model inputs that describe weather conditions for the 68 lakes included in this study. Weather data comes from gridded estimates (Mitchell et al. 2004). There are two comma-separated files, one for weather data (one row per model timestep) and one for ice-flags, which are used by the process-guided deep learning model to determine whether to apply the energy conservation constraint (the constraint is not applied when the lake is presumed to be ice-covered). The ice-cover flag is a modeled output and therefore not a true measurement (see "Predictions" and "pb0" model type for the source of this prediction). This dataset is part of a larger data release of lake temperature model inputs and outputs... Categories: Data; Tags: 007, 012, Fish, MN, Minnesota, All tags... Northeast CASC, Rivers, Streams and Lakes, US, United States, WI, Water, Coasts and Ice, Wildlife and Plants, Wisconsin, climate change, deep learning, environment, hybrid modeling, inlandWaters, machine learning, modeling, reservoirs, temperate lakes, temperature, thermal profiles, water, Fewer tags Juvenile coho salmon stream survey data and associated analysis to estimate abundance and survival in Mason Creek, tributary of East Fork Lewis River, SW Washington, during summer of 2017 The files in the sub-folder "1. Juvenile coho salmon abundance and survival" consist of fish survey data and the associated analysis. The file "02_Fish survey data_all events_2019-11-27.csv" contains the actual fish survey data that was collected in Mason Creek, tributary of East Fork Lewis River, SW Washington, during summer of 2017. The protocol for the fish surveys are outline in the file "Fish Rescue Field Protocol_2017_FINAL VERSION_2017-06-01.pdf". The abundance and survival analysis can be found in the file "Juvenile MR abundance_Coho_02Contraints_2019-12-02.R". This file should be loaded through the .Rproj file "Fish Abundance.Rproj". There are many files needed to run the analysis that consist of summaries... Categories: Data; Tags: Drought, Drought, Fire and Extreme Weather, Fish, Northwest CASC, Rivers, Streams and Lakes, All tags... Water, Coasts and Ice, Wildlife and Plants, abundance, abundance, mark-recapture, mark-recapture, survival, survival, Fewer tags Fish and Climate Change (FiCli) Database: Informing climate change adaptation and management actions for freshwater fishes NOTE: A newer version of this database is available at https://doi.org/10.5066/P9973SMC. Inland fishes provide important ecosystem services to communities worldwide and are especially vulnerable to the impacts of climate change. Fish respond to climate change in diverse and nuanced ways, which creates challenges for practitioners of fish conservation, climate change adaptation, and management. Although climate change is known to affect fish globally, a comprehensive online, public database of how climate change has impacted inland fishes worldwide and adaptation or management practices that may address these impacts does not exist. We conducted an extensive, systematic primary literature review to identify peer-reviewed... Categories: Data; Tags: Fish, National CASC, Rivers, Streams and Lakes, Science Tools for Managers, State of the Science, All tags... Water, Coasts and Ice, Wildlife and Plants, climate change impacts, inland fishes and fisheries, management and adaptation, systematic review, Fewer tags Wisconsin Lake Temperature Metrics Decreasing Clarity It is well recognized that the climate is warming in response to anthropogenic emission of greenhouse gases. Over the last decade, this has had a warming effect on lakes. Water clarity is also known to effect water temperature in lakes. What is unclear is how a warming climate might interact with changes in water clarity in lakes. As part of a project at the USGS Office of Water Information, several water clarity scenarios were simulated for lakes in Wisconsin to examine how changing water clarity interacts with climate change to affect lake temperatures at a broad scale. This data set contains the following parameters: year, WBIC, durStrat, max_schmidt_stability, mean_schmidt_stability_JAS, mean_schmidt_stability_July,... Categories: Data; Types: Citation; Tags: 007, 012, Fish, Northeast CASC, Rivers, Streams and Lakes, All tags... US, United States, WI, Water, Coasts and Ice, Wildlife and Plants, Wisconsin, Wisconsin, climate change, environment, hydrodynamic model, inlandWaters, lakes, limnology, water clarity, water quality, water temperature, Fewer tags Wisconsin Lake Temperature Metrics Increasing Clarity It is well recognized that the climate is warming in response to anthropogenic emission of greenhouse gases. Over the last decade, this has had a warming effect on lakes. Water clarity is also known to effect water temperature in lakes. What is unclear is how a warming climate might interact with changes in water clarity in lakes. As part of a project at the USGS Office of Water Information, several water clarity scenarios were simulated for lakes in Wisconsin to examine how changing water clarity interacts with climate change to affect lake temperatures at a broad scale. This data set contains the following parameters: year, WBIC, durStrat, max_schmidt_stability, mean_schmidt_stability_JAS, mean_schmidt_stability_July,... Categories: Data; Types: Citation; Tags: 007, 012, Fish, Northeast CASC, Rivers, Streams and Lakes, All tags... US, United States, WI, Water, Coasts and Ice, Wildlife and Plants, Wisconsin, Wisconsin, climate change, environment, hydrodynamic model, inlandWaters, lakes, limnology, water clarity, water quality, water temperature, Fewer tags Stream patches of suitable Bull Trout habitat and associated patch variables This GIS dataset is the primary data product produced for the NW Climate Science Center-funded project, "Rangewide climate vulnerability assessment for threatened Bull Trout" (FRESC Study ID 851). We used predictions of temperatures in streams across approximately two-thirds of the species' range in the U.S. to map coldwater streams or “patches” suitable for spawning and early rearing of Bull Trout. Each patch consists of streams with contiguous reaches of cold water. Patches were delineated using medium resolution National Hydrography Dataset streams containing modeled temperatures available at 1 km intervals, as provided by the NorWeST project (http://www.fs.fed.us/rm/boise/AWAE/projects/NorWeST.html).Once the... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Bull trout, Clark Fork River, Clearwater River, Climate change, Columbia River, All tags... Data Visualization & Tools, Fish, Habitat patches, Idaho, Kootenai River, Montana, Northwest CASC, Oregon, Pacific Northwest, Rivers, Streams and Lakes, Salmon River, Salvelinus confluentus, Science Tools For Managers, Snake River, Stream temperature, Vulnerability assessment, Washington, Water, Coasts and Ice, Wildlife and Plants, Fewer tags Strontium levels in mountain whitefish otoliths Whitefish strontium otolith readings from Benjamin et al. (2014) "Spatio-temporal variability in movemnt, age, and growth, of mountain whitefish (Prosopium williamsoni) in a river network based upon PIT tagging and otolith chemistry." Canadian Journal of Fisheries and Aquatic Sciences, 2014, 71(1): 131-140, 10.1139/cjfas-2013-0279 Categories: Data; Tags: Data Visualization & Tools, Fish, Methow River, Northwest CASC, Rivers, Streams and Lakes, All tags... Science Tools For Managers, Water, Coasts and Ice, Wildlife and Plants, mountain whitefish, otolith, strontium, Fewer tags CM2.0 model: Projected shifts in fish species dominance in Wisconsin lakes under climate change Temperate lakes may contain both coolwater fish species such as walleye (Sander vitreus) and warmwater species such as largemouth bass (Micropterus salmoides). Recent declines in walleye and increases in largemouth bass populations have raised questions regarding the future trajectories and appropriate management actions for these important species. We developed a thermodynamic model of water temperatures driven by downscaled climate data and lake specific characteristics to estimate daily water temperature profiles for 2148 lakes in Wisconsin, USA under contemporary (1989-2014) and future (2040-2064 and 2065-2089) conditions. We correlated contemporary walleye recruitment success and largemouth bass relative abundance... Categories: Data; Types: Citation; Tags: 007, 012, Fish, Northeast CASC, Rivers, Streams and Lakes, All tags... US, United States, WI, Water, Coasts and Ice, Wildlife and Plants, Wisconsin, Wisconsin, bass, climate change, environment, inlandWaters, largemouth bass, modeling, reservoirs, species distribution models, temperate lakes, thermal profiles, walleye, water, Fewer tags Model configuration: A large-scale database of modeled contemporary and future water temperature data for 10,774 Michigan, Minnesota and Wisconsin Lakes Climate change has been shown to influence lake temperatures globally. To better understand the diversity of lake responses to climate change and give managers tools to manage individual lakes, we modelled daily water temperature profiles for 10,774 lakes in Michigan, Minnesota and Wisconsin for contemporary (1979-2015) and future (2020-2040 and 2080-2100) time periods with climate models based on the Representative Concentration Pathway 8.5, the worst-case emission scenario. From simulated temperatures, we derived commonly used, ecologically relevant annual metrics of thermal conditions for each lake. We included all available supporting metadata including satellite and in-situ observations of water clarity, maximum... Categories: Data; Types: Citation; Tags: 007, 012, Fish, IA, IL, All tags... IN, Illinois, Illinois, Indiana, Indiana, Iowa, Iowa, MI, MN, Michigan, Michigan, Minnesota, Minnesota, Northeast CASC, Rivers, Streams and Lakes, SD, South Dakota, South Dakota, US, United States, WI, Water, Coasts and Ice, Wildlife and Plants, Wisconsin, Wisconsin, climate change, environment, inlandWaters, modeling, reservoirs, temperate lakes, thermal profiles, water, Fewer tags Process-guided deep learning water temperature predictions: 4a Lake Mendota detailed training data This dataset includes compiled water temperature data from an instrumented buoy on Lake Mendota, 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). Categories: Data; Tags: 007, 012, Fish, Northeast CASC, Rivers, Streams and Lakes, All tags... US, United States, WI, Water, Coasts and Ice, Wildlife and Plants, Wisconsin, climate change, deep learning, environment, hybrid modeling, inlandWaters, machine learning, modeling, reservoirs, temperate lakes, temperature, thermal profiles, water, Fewer tags Daily Chlorophyll-a Estimates in Lakes Michigan and Huron 1998-2008 Data represent lakewide mean chlorophyll-a estimated from SeaWifs and/or MODIS AQUA satellite data. Each daily value represents the mean of all raster cells for the particular day. Categories: Data; Tags: Chlorophylls, Fish, Lake Michigan, National CASC, Wildlife and Plants Water Temperature Profiles from CHARM for Lake Huron A Coupled Hydrosphere Atmosphere Research Model was developed that predicted vertical water temperature profiles, ice cover, and precipitation within 40-km grids and lake levels for Lakes Huron between 2058 and 2066. In this data set, daily predicted water temperature profiles are summarized for four regions in Lake Huron (north: North of 45 degrees N; central: between 43 degrees 55 minutes N and 45 degrees N; south: south of 43 degrees 55 minutes N; south-shallow: only areas less than <40 m bottom depth and south of 43 degrees 55 minutes N). Model output was driven by the Canadian CRCM3 GCM and assumed SRES A2 scenario greenhouse gas concentrations. Categories: Data; Tags: Climate change, Fish, Greenhouse gases, Inland fisheries, Lake Huron, USA and Canada, All tags... National CASC, Water temperature, Wildlife and Plants, Fewer tags Fishtail huc12: Indices and supporting data characterizing the current (1961-2000) and future (2041-2080) risk to fish habitat degradation in the Northeast Climate Science Center region This dataset represents results from this study attributed to the Hydrologic Unit Code (HUC) 12 watershed boundaries. Human impacts occurring throughout the Northeast and Midwest United States, including urbanization, agriculture, and dams, have multiple effects on the region’s streams which support economically valuable stream fishes. Changes in climate are expected to lead to additional impacts in stream habitats and fish assemblages in multiple ways, including changing stream water temperatures. To manage streams for current impacts and future changes, managers need region-wide information for decision-making and developing proactive management strategies. Our project met that need by integrating results... Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Aquatic habitats, Connecticut, Data Visualization & Tools, Delaware, Fish, All tags... Illinois, Indiana, Iowa, Kentucky, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, New Hampshire, New Jersey, New York, Northeast CASC, Ohio, Pennsylvania, Rhode Island, Rivers, Streams and Lakes, Science Tools For Managers, Vermont, Virginia, Washington D.C., Water, Coasts and Ice, West Virginia, Wildlife and Plants, Wisconsin, climate change, drainage basins, habitat fragmentation, inlandWaters, land use and land cover, rivers, streams, water quality, Fewer tags PIT-tagged mountain whitefish interrogations at various PIT tag interrogators This data contains information of PIT tagged mountain whitefish detections at PIT tag interrogators in the Methow, Columbia and Entiait, rivers. This data was downloaded from the PTAGIS database at www.ptagis.org. Categories: Data; Tags: Columbia River, Data Visualization & Tools, Entiat River, Fish, Methow River, All tags... Northwest CASC, PIT tags, Rivers, Streams and Lakes, Science Tools For Managers, Water, Coasts and Ice, Wildlife and Plants, interrogations, mountain whitefish, prosopium williamsoni, Fewer tags High-Resolution Georeferenced Major Rivers Point Data, Spaced in 150m intervals The Global River Points dataset is a high-resolution vector file geodatabase of 73 rivers world-wide. Each river is represented by a series of points spaced 150 meters apart and each point has attached environmental attributes extracted from multiple data sets. The attributes include physical information (slope, elevation, temperature, precipitation, river width and discharge) and landscape variables (human influence, fishing pressure, and organic load). The dataset also incorporates the river classification data from the Global River Reach Classifications GloRiC Version 1.0 dataset. Categories: Data; Tags: Data, Fish, National CASC, Rivers, Streams and Lakes, Science Tools for Managers, All tags... State of the Science, Water, Coasts and Ice, Wildlife and Plants, biota, high resolution vector, large river systems, large river systems, river, Fewer tags GENMOM model: Projected shifts in fish species dominance in Wisconsin lakes under climate change Temperate lakes may contain both coolwater fish species such as walleye (Sander vitreus) and warmwater species such as largemouth bass (Micropterus salmoides). Recent declines in walleye and increases in largemouth bass populations have raised questions regarding the future trajectories and appropriate management actions for these important species. We developed a thermodynamic model of water temperatures driven by downscaled climate data and lake specific characteristics to estimate daily water temperature profiles for 2148 lakes in Wisconsin, USA under contemporary (1989-2014) and future (2040-2064 and 2065-2089) conditions. We correlated contemporary walleye recruitment success and largemouth bass relative abundance... Categories: Data; Types: Citation; Tags: 007, 012, Fish, Northeast CASC, Rivers, Streams and Lakes, All tags... US, United States, WI, Water, Coasts and Ice, Wildlife and Plants, Wisconsin, Wisconsin, bass, climate change, environment, inlandWaters, largemouth bass, modeling, reservoirs, species distribution models, temperate lakes, thermal profiles, walleye, water, Fewer tags Process-guided deep learning water temperature predictions: 6c All lakes historical evaluation data This dataset includes evaluation data ("test" data) and performance metrics for water temperature predictions from multiple modeling frameworks. Process-Based (PB) models were configured and calibrated with training data to reduce root-mean squared error. Uncalibrated models used default configurations (PB0; see Winslow et al. 2016 for details) and no parameters were adjusted according to model fit with observations. Deep Learning (DL) models were Long Short-Term Memory artificial recurrent neural network models which used training data to adjust model structure and weights for temperature predictions (Jia et al. 2019). Process-Guided Deep Learning (PGDL) models were DL models with an added physical constraint for... Categories: Data; Tags: 007, 012, Fish, MN, Minnesota, All tags... Northeast CASC, Rivers, Streams and Lakes, US, United States, WI, Water, Coasts and Ice, Wildlife and Plants, Wisconsin, climate change, deep learning, environment, hybrid modeling, inlandWaters, machine learning, modeling, reservoirs, temperate lakes, temperature, thermal profiles, water, Fewer tags 1 2 3 »