A combination of long-term daily temperature records and depth to bedrock measurements were used to parameterize one-dimensional models of shallow aquifer vertical heat transport in Shenandoah National Park, VA, USA. Spatially discontinuous roving water surface and bank temperatures surveys were performed with a handheld thermal infrared camera in September and December 2015 along the main channel of a headwater stream supporting coldwater-dependent brook trout (Salvelinus fontinalis). We also installed vertical arrays of thermal data loggers to estimate bulk thermal diffusivity of the saturated alluvium at two stations in the upper trout section. The methods are fully documented in the associated journal article, Briggs, M.A., J.W. Lane, C.D. Snyder, E. White, Z.C. Johnson, D.L. Nelms, and N.P. Hitt, 2017, Shallow mountain bedrock limits seepage-based headwater climate refugia, Limnologica, https://dx.doi.org/10.1016/j.limno.2017.02.005. This Data Release includes temperature measurements collected as part of the study. The directory RAW_DATA contains the measured temperature time series at streambed, stream, and air locations as described in the local read.me file. The OUTPUT directory contains the processed temperature time series and VFLUX2 calculations of thermal diffusivity (Ke) from streambed data, and annual temp signal amplitude/phase lag from stream/air data are listed.

1D transient numerical simulations with a modified version of the SUTRA model (preliminary code) that accounts for variably-saturated freeze-thaw dynamics (e.g. McKenzie and Voss, 2013) to predict annual alluvial aquifer temperature dynamics using coupled fluid and heat transport physics. The model simulations were run with a modified version of SUTRA_ICE (unreleased) that accomadates a time-variable sinusiodal upper temperature boundary. This data release also includes the source code and Argus One GUI files used to build the models, though this proprietary software is not needed to run the models as described in the upper-level "readme" file.

1D transient numerical simulations with a modified version of the SUTRA model (preliminary code) that accounts for variably-saturated freeze-thaw dynamics (e.g. McKenzie and Voss, 2013) to predict annual alluvial aquifer temperature dynamics using coupled fluid and heat transport physics. The model simulations were run with a modified version of SUTRA_ICE (unreleased) that accomadates a time-variable sinusiodal upper temperature boundary. This data release also includes the source code and Argus One GUI files used to build the models, though this proprietary software is not needed to run the models as described in the upper-level "readme" file.

A combination of long-term daily temperature records and depth to bedrock measurements were used to parametrize one-dimensional models of shallow aquifer vertical heat transport in Shenandoah National Park, VA, USA. Depth to bedrock can directly influence shallow aquifer flow and thermal sensitivity, but is typically ill-defined along the stream corridor in steep mountain catchments. We employed rapid, cost-effective passive seismic measurements to evaluate the variable thickness of the shallow colluvial and alluvial aquifer sediments along a headwater stream supporting coldwater-dependent brook trout (Salvelinus fontinalis) in Shenandoah National Park. The methods are fully documented in the associated journal article, Briggs, M.A., J.W. Lane, C.D. Snyder, E.A. White, Z.C. Johnson, D.L. Nelms, and N.P. Hitt, 2017, Shallow mountain bedrock limits seepage-based headwater climate refugia, Limnologica, https://dx.doi.org/10.1016/j.limno.2017.02.005. This Data Release includes seismic data collected as part of the study.

A combination of long-term daily temperature records and depth to bedrock measurements were used to parametrize one-dimensional models of shallow aquifer vertical heat transport in Shenandoah National Park, VA, USA. Depth to bedrock can directly influence shallow aquifer flow and thermal sensitivity, but is typically ill-defined along the stream corridor in steep mountain catchments. We employed rapid, cost-effective passive seismic measurements to evaluate the variable thickness of the shallow colluvial and alluvial aquifer sediments along a headwater stream supporting coldwater-dependent brook trout (Salvelinus fontinalis) in Shenandoah National Park. The methods are fully documented in the associated journal article, Briggs, M.A., J.W. Lane, C.D. Snyder, E.A. White, Z.C. Johnson, D.L. Nelms, and N.P. Hitt, 2017, Shallow mountain bedrock limits seepage-based headwater climate refugia, Limnologica, https://dx.doi.org/10.1016/j.limno.2017.02.005. This Data Release includes seismic data collected as part of the study.

This database contains hourly water and air temperature data from 120 site locations within 17 watersheds in Shenandoah National Park, Virginia between June 23,2012 and October 25, 2016. The database includes three separate table files (i.e, entities) in csv format: 1) Water temperature data, 2) air temperature data, and 3) site location data. All temperature data were collected using HOBO Pro V2 thermographs (accuracy = 0.2 degrees Celsius, drift = <0.1 degrees Celsius per year per year). These raw data were summarized to mean daily air and water temperatures for the analysis used in Johnson et al. (cited above).

This Data Release provides hourly records of air and water temperature within 5 watersheds (Beaver Creek, Dry River, Mossy Creek, Passage Creek & Spout Run) in the Shenandoah Valley, VA in the summer of 2017. Data loggers were deployed and retrieved by Trout Unlimited personnel and volunteers.

This Data Release provides hourly records of air and water temperature within 5 watersheds (Beaver Creek, Dry River, Mossy Creek, Passage Creek & Spout Run) in the Shenandoah Valley, VA in the summer of 2017. Data loggers were deployed and retrieved by Trout Unlimited personnel and volunteers.

From June 25 to June 28, 2018, the U.S. Environmental Protection Agency (EPA) collected temperature measurements to help evaluate the thermal properties at two locations along the shoreline of City Lake in Fredericktown, MO. The in-situ temperature of surface water and saturated sediments was monitored to support calculations of seepage flux. Temperature measurements Celsius were collected every 30 minutes at depths of 0.04, 0.15,0.30,0.61, and 0.91 m below the water bottom. The thermal conductivity of saturated sediments was also measured.

From June 25 to June 28, 2018, the U.S. Environmental Protection Agency (EPA) collected temperature measurements to help evaluate the thermal properties at two locations along the shoreline of City Lake in Fredericktown, MO. The in-situ temperature of surface water and saturated sediments was monitored to support calculations of seepage flux. Temperature measurements Celsius were collected every 30 minutes at depths of 0.04, 0.15,0.30,0.61, and 0.91 m below the water bottom. The thermal conductivity of saturated sediments was also measured.