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- Lindsay Bearup
Lindsay Bearup
Reclamation Office: Federal Government, Department of the Interior, Bureau of Reclamation
Contact Information: (303) 445-3919, lbearup@usbr.gov
Research Funded by the Science and Technology Program
Lindsay Bearup began doing research for the Science and Technology Program in the 2018 fiscal year, with funding provided by the program as recently as the 2022 fiscal year. Projects were funded under the Science and Technology Program research topics Agriculture Water Supplies, Water Quality, Water Supply Forecasting and Water Operation Models and Decision Support Systems.
The following research projects were funded in whole or in part by the Science and Technology Program. Lindsay Bearup is listed as the principal investigator, or primary researcher. Click the project's title to view more information.
Investigating the potential of cloud seeding to enhance precipitation in the East River Basin of Colorado
Project ID: 22068
Fiscal Years of Funding: 2022 - 2024
Research Results:
contact Lindsay Bearup
Potential impacts of phosphorous loading from wildfire-fighting retardants related to the East Troublesome fire on surface water quality in Willow Creek and Willow Creek Reservoir
Project ID: 22019
Fiscal Years of Funding: 2022 - 2024
Research Results:
contact Lindsay Bearup
Evaluating Big Thompson water supply modeling capability improvements from new model forcing and recalibration
Project ID: 21082
Fiscal Years of Funding: 2021 - 2023
Research Results:
Please contact research@usbr.gov
about research products related to this project.
Improving distributed hydrologic models using multiscale thermal infrared, near infrared, and visible imagery from sUAS and satellite-based sensors
Project ID: 19249
Fiscal Years of Funding: 2019 - 2020
Research Results:
Please contact research@usbr.gov
about research products related to this project.
Merging high-resolution airborne snowpack data with existing long-term hydrometeorological observations to improve water supply forecasting
Project ID: 8116
Fiscal Years of Funding: 2018 - 2019
Research Results:
- Merging High-Resolution Airborne Snowpack Data with Existing Long-Term Hydrometeorological Observations to Improve Water Supply Forecasting (final, PDF, 814KB)
- Merging High-Resolution Airborne Snowpack Data with Existing Long-Term Hydrometeorological Observations to Improve Water Supply Forecasting (final, PDF, 814KB)
