Emily A Baker
Hamilton College
Subject Areas: | Hydrogeology |
Recent Activity
ABSTRACT:
This resource contains weather data, groundwater level data, and stream stage data collected in the Quilcayhuanca valley in the Peruvian Andes. The data were used as input to a groundwater flow model of a portion of the pampa aquifer system within the valley.
ABSTRACT:
Ground-based time-lapse thermal infrared and stream temperature data used in Baker et al. (2019), "Improving the Accuracy of Time-Lapse Thermal Infrared Imaging for Hydrologic Applications". Ground-based thermal infrared (TIR) images were recorded every 10 minutes of the Quilcay stream in the Peruvian Andes during two field seasons (2015 & 2016). Included are the uncorrected TIR images, TIR temperatures at each control point location , the corresponding in-stream temperatures that were recorded using iButton temperature sensors, and corrected TIR temperatures.
This resource will be made public/published upon the acceptance of the corresponding manuscript.
ABSTRACT:
HFLUX input data used to run the diurnally fluctuating streamflow base case model discussed in Baker et al. (2018), "The Importance of Incorporating Diurnally Fluctuating Stream Discharge in Energy Balance Models to Determine Groundwater Inflow Rates". The HFLUX model can be downloaded from http://hydrology.syr.edu/hflux/, where additional information on the model structure and inputs is located. The 18 excel sheets include the model settings, time steps, distance steps, temperature boundary conditions in space and time, stream channel geometry, discharge data, groundwater temperatures averaged from 5 wells, weather data, average stream bed temperatures and the depth at which they were measured, sediment time, shade and cloud data, site latitude, longitude, and elevation, and the calibrated stream temperatures through space and time over a ~1.2 km reach over a ~5 day period.
This resource will be made public/published upon the acceptance of the corresponding manuscript.
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Created: March 7, 2018, 5:10 p.m.
Authors: Emily Baker · Laura Lautz · Christa Kelleher · Jeffrey McKenzie
ABSTRACT:
HFLUX input data used to run the diurnally fluctuating streamflow base case model discussed in Baker et al. (2018), "The Importance of Incorporating Diurnally Fluctuating Stream Discharge in Energy Balance Models to Determine Groundwater Inflow Rates". The HFLUX model can be downloaded from http://hydrology.syr.edu/hflux/, where additional information on the model structure and inputs is located. The 18 excel sheets include the model settings, time steps, distance steps, temperature boundary conditions in space and time, stream channel geometry, discharge data, groundwater temperatures averaged from 5 wells, weather data, average stream bed temperatures and the depth at which they were measured, sediment time, shade and cloud data, site latitude, longitude, and elevation, and the calibrated stream temperatures through space and time over a ~1.2 km reach over a ~5 day period.
This resource will be made public/published upon the acceptance of the corresponding manuscript.
Created: May 16, 2018, 4:06 p.m.
Authors: Emily Baker · Laura Lautz · Jeffrey McKenzie
ABSTRACT:
Ground-based time-lapse thermal infrared and stream temperature data used in Baker et al. (2019), "Improving the Accuracy of Time-Lapse Thermal Infrared Imaging for Hydrologic Applications". Ground-based thermal infrared (TIR) images were recorded every 10 minutes of the Quilcay stream in the Peruvian Andes during two field seasons (2015 & 2016). Included are the uncorrected TIR images, TIR temperatures at each control point location , the corresponding in-stream temperatures that were recorded using iButton temperature sensors, and corrected TIR temperatures.
This resource will be made public/published upon the acceptance of the corresponding manuscript.
Created: Nov. 7, 2019, 5:49 a.m.
Authors: Baker, Emily A · Lautz, Laura · Jeffrey M. McKenzie · Bryan G. Mark
ABSTRACT:
This resource contains weather data, groundwater level data, and stream stage data collected in the Quilcayhuanca valley in the Peruvian Andes. The data were used as input to a groundwater flow model of a portion of the pampa aquifer system within the valley.