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Using predicted lake temperatures from uncalibrated, process-based models (PB0) and process-guided deep learning models (PGDL), this dataset summarized a collection of thermal metrics to characterize lake temperature impacts on fish habitat for 881 lakes. Included in the metrics are daily thermal optical habitat areas and a set of over 172 annual thermal metrics.
Categories: Data;
Tags: MN,
Minnesota,
SD,
South Dakota,
US, All tags...
United States,
climate change,
deep learning,
environment,
hybrid modeling,
inlandWaters,
machine learning,
modeling,
reservoirs,
temperate lakes,
temperature,
thermal habitat,
thermal profiles,
water,
water resources, Fewer tags
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Observed water temperatures from 1980-2018 were compiled for 877 lakes in Minnesota (USA). There were four lakes included in this data release that did not have temperature observations available at the time of compilation or these data existed elsewhere and were unknown to the compilation team. These data were used as training, test, and error-estimation data for process-guided deep learning models and the evaluation of 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...
Tags: MN,
Minnesota,
SD,
South Dakota,
US, All tags...
United States,
climate change,
deep learning,
environment,
hybrid modeling,
inlandWaters,
machine learning,
modeling,
reservoirs,
temperate lakes,
temperature,
thermal profiles,
water,
water resources, Fewer tags
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Water temperature estimates from multiple models were evaluated by comparing predictions to observed water temperatures. The performance metric of root-mean square error (in degrees C) is calculated for each lake and each model type, and matched values for predicted and observed temperatures are also included to support more specific error estimation methods (for example, calculating error in a particular month). Errors for the process-based model are compared to predictions as shared in Model Predictions data since these models were not calibrated. Errors for the process-guided deep learning models were calculated from validation folds and therefore differ from the comparisons to Model Predictions because those...
Categories: Data;
Tags: MN,
Minnesota,
SD,
South Dakota,
US, All tags...
United States,
climate change,
deep learning,
environment,
hybrid modeling,
inlandWaters,
machine learning,
modeling,
reservoirs,
temperate lakes,
temperature,
thermal profiles,
water,
water resources, Fewer tags
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This dataset provides shapefile outlines of the 881 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 881 lakes in the U.S. state of Minnesota (https://doi.org/10.5066/P9PPHJE2).
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: MN,
Minnesota,
SD,
South Dakota,
US, All tags...
United States,
climate change,
deep learning,
environment,
hybrid modeling,
inlandWaters,
machine learning,
modeling,
reservoirs,
temperate lakes,
temperature,
thermal profiles,
water,
water resources, Fewer tags
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This data release contains a 17-year record (2005-2022) of discrete chlorophyll data from inland waters, collected from across the nation and territories. These data are from discrete samples (collected in the field and analyzed in the laboratory) from plankton (suspended algae) and periphyton (benthic algae) from lakes, streams, rivers, reservoirs, canals, and other sites. These data are gathered to support process and remote sensing modeling and prediction of Harmful Algal Blooms (HABs). The chlorophyll data were compiled from the Water Quality Portal (WQP) and USGS National Water Quality Lab (NWQL). Data for uncorrected chlorophyll a, corrected chlorophyll a, and pheophytin from EPA Methods 445 and 446 are included...
Categories: Data;
Tags: Aquatic Biology,
Ecology,
USGS Science Data Catalog (SDC),
United States,
Water Quality, All tags...
Water Quality Portal,
chlorophyll a,
discrete samples,
lake,
periphyton,
phaeophytin,
pheophytin,
pipeline,
plankton,
raw chlorophyll,
river,
stream,
uncorrected chlorophyll, Fewer tags
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