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This section provides model simulation outputs from the models described by Rahmani et al. (2023b), as well as a subset of model outputs produced by Rahmani et al. (2021) that were used for comparison within Rahmani et al. (2023b). The full model archive is organized into these four child items: 1. Model code - Python files and README for reproducing model training and evaluation 2. Inputs - Basin attributes and shapefiles, forcing data, and stream temperature observations [THIS ITEM] 3. Simulations - Simulation descriptions, configurations, and outputs 4. Figure code - Jupyter notebook to recreate the figures in Rahmani et al. (2023b) The publication associated with this model archive is: Rahmani, F.,...
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This data release contains lakebed groundwater and surface-water temperatures collected during a survey on September 18, 2020, by using a handheld thermocouple probe at Shubael Pond, a groundwater flow-through kettle-hole pond, located in Marstons Mills, Massachusetts. The dataset includes a comma separated values (.csv) file, a geospatial dataset (shapefile), and FGDC-compliant metadata.
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This data product contains soil chemistry data from 4 locations. Two of the locations were located in the Neversink River watershed near Claryville, NY (01435000) in the Catskill Mountains of New York (Fall Brook and Winnisook Creek), 1 of the locations was the Young Woman’s Creek watershed near Renovo, PA (01545600) and the last site was the Wild River watershed at Gilead, Maine (01054200). Soil chemistry was collected at 2 times at each location: in 2001 and 2011 in Fall Brook, Young Woman’s Creek and Wild River and in 1993 and 2012 in Winnisook. This data product also contains water-quality data from 5 water-quality stations: West Branch Neversink River at Winnisook Lake [01434021], East Branch Neversink River...
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High frequency water-quality measurements were collected by the U.S. Geological Survey within Willow Creek Reservoir located in Heppner, Oregon. All measurements were taken at 0.5 meters below the surface with a YSI EXO2 multiparameter sonde. Information collected include location, time, water temperature, pH, specific conductance, dissolved oxygen, total chlorophyll, blue-green algae phycocyanin, and turbidity. The measurements were collected while boating around the reservoir at about 4 kilometers per hour. These data were collected on June 9, 2015, August 17, 2016, and September 16, 2016, and are published as individual datasets for each date.
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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 Lake Michigan between 2058 and 2066. In this data set, daily predicted water temperature profiles are summarized for four regions in Lake Michigan (north: North of 45 degrees 20 minutes N; central: between 43 degrees 30 minutes N and 45 degrees 20 minutes N; south: south of 43 degrees 30 minutes N; south-shallow: only areas less than <40 m bottom depth and south of 43 degrees 30 minutes N). Model output was driven by the Canadian CRCM3 GCM and assumed SRES A2 scenario greenhouse gas concentrations.
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Longitudinal profiles of surface water chemistry were made using a Sea-Bird SUNA optical nitrate sensor and a YSI EXO2 water quality sonde. Water from 0.1 m depth was pumped to sensors configured with flow cells from a moving boat, and data were georeferenced with a Garmin GPS and compiled on a Campbell Sci datalogger. Details on the method can be found in Crawford et al. 2015 and Downing et al. 2016. Data were collected between July 10 and Aug 26, 2019 as part of an ecosystem experiment. Two longitudinal transects were made each day. In the morning, the boat traveled southward from the Sacramento Locks to Navigation Light 70. The afternoon transects proceeded while traveling northward. Each point has also been...
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Corrected and aggregated temperature data from the subsurface of three permeable pavement types [permeable interlocking concrete pavers (PICP), pervious concrete (PC), and porous asphalt (PA)] collected in Madison, Wisconsin between November 1 and April 30 (cold-weather periods), 2014-2021 are in this data release. Temperature data was corrected through removal of intermittent erroneous values such as sudden and extreme changes in data values that could not be explained. Raw corrected datasets containing one minute data for PICP, PC, and PA are part of this data release. An average hourly temperature dataset, produced by averaging raw corrected data for the nine probes at each corresponding depth (0, 15, and 30...
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Water level and water temperature from Magnolia Spring were recorded with a level datalogger (HOBO U20-001-01-Ti; Onset Computer Corp., Bourne, MA) set to record every 15 min. The datalogger was attached to a Crystal River National Wildlife Refuge signpost (LAT 28.8913, LONG -82.5925). Data were reported in meters of water depth to the logger and degrees Celcius. Water temperature from Three Sisters Springs was recorded with a water temperature datalogger (HOBO U22; Onset Computer Corp., Bourne, MA) set to record every 15 min. The datalogger was attached to a Crystal River National Wildlife Refuge signpost (LAT 28.8885, LONG -82.5891) set to record at a 15 min interval. Data were reported in degrees Celcius.
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Files contain hydrodynamic and sediment transport data for the location and deployment indicated. Time-series data of water depth, velocity, turbidity, and temperature were collected in San Pablo Bay and China Camp Marsh as part of the San Francisco Bay Marsh Sediment Experiments. Several instruments were deployed in tidal creek, marsh, mudflat, and Bay locations, gathering data on water depth, velocity, salinity/temperature, and turbidity. Deployment data are grouped by region (Bay channel (main Bay), Bay shallows, tidal creek, or marsh/mudflat/upper tidal creek). Users are advised to check metadata and instrument information carefully for applicable time periods of specific data, as individual instrument deployment...
ABSTRACTWater temperature is a primary driver of stream ecosystems and commonly forms the basis of stream classifications. Robust models of stream temperature are critical as the climate changes, but estimating daily stream temperature poses several important challenges. We developed a statistical model that accounts for many challenges that can make stream temperature estimation difficult. Our model identifies the yearly period when air and water temperature are synchronized, accommodates hysteresis, incorporates time lags, deals with missing data and autocorrelation and can include external drivers. In a small stream network, the model performed well (RMSE D 0:59 °C), identified a clear warming trend (0.63 °C...
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Water temperature plays a critical role in the health of pre-smolt salmon life stages, and changes in water temperature may be a strong driving factor on growth and survival of juvenile Chinook salmon. Climate is expected to warm substantially in the coming decades in western Alaska, potentially affecting juvenile salmon condition in freshwater habitats. This project investigated the feasibility of using existing data to assess the variability in size-at-age and annual growth for juvenile Chinook salmon across the western Alaska landscape and to estimate the relationship between juvenile Chinook size-at-age or annual growth and spatial or temporal stream temperature gradients. The project showed adequate data exists...
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As Alaskans continue to feel the impacts of a changing climate, the need for resource managers to understand how these changes will alter aquatic systems and fisheries resources grows. Water temperature data collection has increased in recent years to begin to fill our gaps in knowledge about current thermal profiles; however, with Alaska’s vast landscapes and ubiquitous freshwater habitats, the need for water temperature data is ongoing. Many entities are collecting temperature data for a variety of purposes to meet project or agency specific goals. Statewide interest in thermal patterns and increasing data collection efforts provides Alaska’s scientific and resource managing community an opportunity to meet broader...
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In recognition of the importance of salmon to the economy and ecosystems of southwestern Alaska and the pervasive influence of water temperature on salmon, voluntary network-based water temperature monitoring programs were established in the Bristol Bay region and the Kodiak Archipelago in 2015. These collaborative networks among federal and state agencies, non-governmental organizations and Native Tribes aim to provide reliable time-series stream and lake temperature data to support development of proactive approaches to management of salmon in response to climate warming. Collaborators are tackling the challenges of year-round field deployment, data management, data storage and sharing, and long-term funding....
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High frequency water-quality measurements were collected by the U.S. Geological Survey within Willow Creek Reservoir located in Heppner, Oregon. All measurements were taken at 1.5 feet below the surface with a YSI EXO2 multiparameter sonde. Information collected include location, time, water temperature, pH, specific conductance, dissolved oxygen, total chlorophyll, blue-green algae phycocyanin, and turbidity. The measurements were collected while boating around the reservoir at about 2.5 miles per hour.
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This data set provides locations and values of water quality parametersters from a survey conducted on August 23, 2016 using an Autonomous Underwater Vehicle (AUV) in Nicoll Bay, NY. During the August 23 survey, 13,910 observations of water quality parameters were made. Parameters collected include dissolved oxygen, pH, water temperature, specific conductance, and salinity. Data was collected in approximately east-west transects by the AUV, with the northern-most transects made first. Data was collected between the hours of 1 am and 5 am to obtain minimum DO values in the daily cycle. There are three files available for download in the 'Attached Files' section below. There is a zip file which contains the observation...
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Water quality point measurements were collected by the U.S. Geological Survey along the lower Willamette River near the cities of Lake Oswego and Wilsonville, Oregon, as well as the lowest two kilometers of the Clackamas River, Molalla River, and Johnson Creek. These measurements were collected in the main channel and off-channel features on discreet dates from April through October of 2017. All measurements include location, time, temperature, and depth below water surface, while many also include specific conductance, dissolved oxygen, pH, and turbidity.
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Water-quality point measurements were collected at various depths throughout a beaver pond along Fanno Creek in the Tualatin River Basin, Oregon. Parameters collected include water temperature, dissolved oxygen, and sometimes pH. All data were collected over a short period of time (< 4 hours) during 4 hot days in order to characterize the spatial (both horizontal and vertical) variability of these parameters during periods that could potentially be stressful to aquatic life.


map background search result map search result map Water Temperature Profiles from CHARM for Lake Michigan Northeastern Hydrologic Benchmark Network (HBN) Soil Chemistry and Catskill Mountain Water-Quality Data Spatial water-quality measurements in Willow Creek Reservoir located in Heppner, Oregon, 2015-2016 Spatial water-quality measurements on September 16, 2016, in Willow Creek Reservoir, Heppner, Oregon Water temperature in Three Sisters Springs, and water temperature and level in Magnolia Spring: Winter 2014-15 Networked monitoring of salmon habitat temperature: Two case studies from southwestern Alaska Stream Temperature Data Collection Standards and Protocol for Alaska: Minimum Standards to Generate Data Useful for Regional-scale Analyses Landscape-scale analysis of the relationship between juvenile Chinook size and growth and stream temperature in western Alaska Point measurements of temperature and water quality in the main channel and off-channel features of the lower reaches of the Willamette River, Clackamas River, Molalla River, and Johnson Creek, 2017 August 23, 2016 AUV Survey - Observation Point Data Water Temperature, Dissolved Oxygen, and pH Point Measurements from a Beaver Pond along Fanno Creek, Oregon, on four hot days in summers 2016-17 Longitudinal profiles of surface water chemistry in the Sacramento River Deep Water Ship Channel 5 Model Predictions: Deep learning approaches for improving prediction of daily stream temperature in data-scarce, unmonitored, and dammed basins Cold-weather air and subsurface temperature profiles of three different permeable pavements, Madison, Wisconsin, between 2014 and 2021 Lakebed Groundwater and Surface-Water Temperatures on September 18, 2020, at Shubael Pond, Marstons Mills, Massachusetts 3. Simulations for model archive: Identifying structural priors in a hybrid differentiable model for stream water temperature modeling at 415 U.S. basin outlets, 2010-2016 Water temperature in Three Sisters Springs, and water temperature and level in Magnolia Spring: Winter 2014-15 Lakebed Groundwater and Surface-Water Temperatures on September 18, 2020, at Shubael Pond, Marstons Mills, Massachusetts Spatial water-quality measurements in Willow Creek Reservoir located in Heppner, Oregon, 2015-2016 Spatial water-quality measurements on September 16, 2016, in Willow Creek Reservoir, Heppner, Oregon August 23, 2016 AUV Survey - Observation Point Data Longitudinal profiles of surface water chemistry in the Sacramento River Deep Water Ship Channel Cold-weather air and subsurface temperature profiles of three different permeable pavements, Madison, Wisconsin, between 2014 and 2021 Water Temperature, Dissolved Oxygen, and pH Point Measurements from a Beaver Pond along Fanno Creek, Oregon, on four hot days in summers 2016-17 Point measurements of temperature and water quality in the main channel and off-channel features of the lower reaches of the Willamette River, Clackamas River, Molalla River, and Johnson Creek, 2017 Northeastern Hydrologic Benchmark Network (HBN) Soil Chemistry and Catskill Mountain Water-Quality Data Networked monitoring of salmon habitat temperature: Two case studies from southwestern Alaska Water Temperature Profiles from CHARM for Lake Michigan Landscape-scale analysis of the relationship between juvenile Chinook size and growth and stream temperature in western Alaska 5 Model Predictions: Deep learning approaches for improving prediction of daily stream temperature in data-scarce, unmonitored, and dammed basins 3. Simulations for model archive: Identifying structural priors in a hybrid differentiable model for stream water temperature modeling at 415 U.S. basin outlets, 2010-2016 Stream Temperature Data Collection Standards and Protocol for Alaska: Minimum Standards to Generate Data Useful for Regional-scale Analyses