Filters: Tags: stream temperature (X) > Date Range: {"choice":"month"} (X)
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This dataset includes georeferenced, high-resolution, airborne thermal infrared (TIR) and high-resolution true-color imagery, a polyline shapefile of the channel centerline, a polyline shapefile with TIR sample points for longitudinal stream temperature profiles, and a tabular file with longitudinal stream temperature profiles for the Donner und Blitzen River and its tributaries, Oregon. The aerial TIR surveys were conducted with a helicopter by NV5 Geospatial and are published as 17 raster mosaics in GeoTiff format with a resolution of 0.3 meters (m). The TIR mosaics contain corrected surface temperatures in degrees Celsius (C) (multiplied by 10 to create an unsigned integer pixel type). The longitudinal stream...
Categories: Data;
Tags: Aquatic Biology,
Donner und Blitzen River,
Geomorphology,
Harney County,
Hydrology,
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 many sources, even if temporally and spatially inconsistent, can have great value both in the realm of stream temperature...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2012,
CASC,
Completed,
FY 2012,
Northeast,
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...
This study set out to answer the question: “What data and modeling frameworks are needed to provide scientists reliable, climate-informed, water temperature estimates for freshwater ecosystems that can assist watershed management decision making?” To accomplish this, the study gathered existing stream temperature data, identified data gaps, deployed stream temperature monitoring devices, and developed and tested a stream temperature model that could be regionalized across the Northeast domain. We partnered with another funded project team, led by Jana Stewart at WI USGS to collect data from over 10,000 locations across the climate science center domain. This collection effort aided in identifying data gaps where...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2012,
CASC,
Climate change,
Completed,
Data Visualization & Tools,
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