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This dataset provides shapefile outlines of the 7,150 lakes that had temperature modeled as part of this study. The format is a shapefile for all lakes combined (.shp, .shx, .dbf, and .prj files). A csv file of lake metadata is also included. This dataset is part of a larger data release of lake temperature model inputs and outputs for 7,150 lakes in the U.S. states of Minnesota and Wisconsin (http://dx.doi.org/10.5066/P9CA6XP8).
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: IA,
IL,
IN,
Illinois,
Indiana, All tags...
Iowa,
MI,
MN,
MO,
Michigan,
Minnesota,
Missouri,
ND,
NE,
Nebraska,
North Dakota,
OH,
Ohio,
SD,
South Dakota,
US,
United States,
WI,
Wisconsin,
climate change,
environment,
hybrid modeling,
inlandWaters,
modeling,
reservoirs,
temperate lakes,
temperature,
thermal profiles,
water,
water resources, Fewer tags
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This dataset summarized a collection of annual thermal metrics to characterize lake temperature impacts on fish habitat for 7,150 lakes from uncalibrated models (PB0) and 449 from calibrated models (PBALL). The dataset includes over 172 annual thermal metrics.
Categories: Data;
Tags: MN,
Minnesota,
SD,
South Dakota,
US, All tags...
United States,
climate change,
environment,
hybrid modeling,
inlandWaters,
modeling,
reservoirs,
temperate lakes,
temperature,
thermal profiles,
water,
water resources, Fewer tags
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We classified walleye ( Sander vitreus) recruitment with 81% accuracy (recruitment success and failure predicted correctly in 84% and 78% of lake-years, respectively) using a random forest model. Models were constructed using 2779 surveys collected from 541 Wisconsin lakes between 1989 and 2013 and predictor variables related to lake morphometry, thermal habitat, land use, and fishing pressure. We selected predictors to minimize collinearity while maximizing classification accuracy and data availability. The final model classified recruitment success based on lake surface area, water temperature degree-days, shoreline development factor, and conductivity. On average, recruitment was most likely in lakes larger than...
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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
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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
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