David Bjerklie, Ph.D.
Dave Bjerklie is a Physical Scientist (Rehired Annuitant) in the New England Water Science Center.
Dave Bjerklie retired from the USGS in 2018 after 18 years of service and returned as a part time employee on a short-term appointment to assist with an on-going USGS program developing satellite remote sensing measures of river discharge. He has over 40 years of experience in water resource investigations as a consulting engineer and scientist. His educational background includes a bachelor's degree in Marine Biology, a master's degree in Civil Engineering, and a Doctorate in Earth Sciences. He has worked professionally in Maine, Alaska, the pacific northwest, and across New England as well as on national scale projects.
Dave's Adjunct Professor experience includes following courses taught: Natural Resource Measurements, Environmental Hydrology, Introduction to Environmental Science, Water and Wastewater Treatment Systems, and Environmental Seminar.
When working with the USGS, Dave has developed proposals and worked as a principal investigator for many studies:
- New Hampshire wide watershed modeling project for a statewide future water resource assessment for the New Hampshire Department of Health and Human Services.
- Study of the potential effects of sea-level rise on coastal groundwater in the New Haven area and specifically beneath the campus of Yale University.
- Development of a one-dimensional model to estimate maximum tide heights in estuaries along the coast of Connecticut.
- Community-based watershed modeling to estimate potential changes to groundwater recharge and streamflow due to changes in land-use and climate change in a medium sized river basin in Connecticut.
- River hydraulic modeling and floodplain delineation for numerous rivers in Connecticut, and use of remote sensing to map extreme flooding conditions around Lake Champlain in May 2011 for the Federal Emergency Management Agency (FEMA).
He was also a co-investigator and science team member on several NASA grants to evaluate the use of satellite imagery, radar and lidar altimetry to estimate in-bank river geometry and discharge from space.
Dave is currently a part of the USGS team developing remote sensing discharge ratings for Alaska including development and documentation of methods, uncertainties, data quality, and gaging network design.
Professional Experience
Physical Scientist (part time appointment), U.S. Geological Survey, New England Water Science Center, 2022 to Present
Adjunct Professor, University of Connecticut, 2019 to 2019
Adjunct professor, Sacred Heart University, Fairfield, CT, 2004 to 2018, and 2016
Hydrologist, U.S. Geological Survey, New England Water Science Center, 2000 to 2018
Consulting Hydrologist and Hydrologic Engineer, Dames & Moore, Seattle WA, and Rocky Hill, CT, 1987 to 1998
Research Assistant, University of Alaska, 1983 to 1986
Hydrologic Consultant, Alaska Arctic Hydrologic Consultants, R and M Engineers, 1983 to 1986
Hydrologist/Planner, Androscoggin Valley Regional Planning Commission, ME, 1981 to 1981
Education and Certifications
Ph.D. Earth Science, University of New Hampshire, Durham, 2004. Thesis: “Development of Hydraulic Relationships for Estimating In-Bank River Discharge Using Remotely Sensed Data.”
M.S. Civil Engineering, University of Alaska, Fairbanks, 1987. Thesis: The Effect of Glacial Runoff and Stream Flow Hydrograph Characteristics.
M.S. Hydrology, University of New Hampshire, Durham, 1980. Thesis: The Use of Dissolved Organic Carbon (DOC) as an Indicator of Ground Water Contamination.
B.S. Marine Biology, University of Maine, Orono, 1977
Affiliations and Memberships*
American Geophysical Union (AGU), 2022
Science and Products
Data from Across the USA Used to Assess the Uncertainty of Discharge Estimates Using a Modified Manning's Equation
Selected Inputs of Siting Considerations for Satellite Observation of River Discharge
Computed Streamflow Using Satellite Data for Selected Rivers in Alaska
Thirty- and ninety-year data sets of streamflow, groundwater recharge, and snowfall simulating potential hydrologic response to climate change in the 21st century in New Hampshire
USGS HYDRoacoustic dataset in support of the Surface Water Oceanographic Topography satellite mission (HYDRoSWOT)
Siting considerations for satellite observation of river discharge
Satellite remote sensing of river discharge: A framework for assessing the accuracy of discharge estimates made from satellite remote sensing observations
A framework for estimating global river discharge from the Surface Water and Ocean Topography satellite mission
Simulating the effects of climate-related changes to air temperature and precipitation on streamflow and water temperature in the Meduxnekeag River watershed, Maine
Exploring the factors controlling the error characteristics of the Surface Water and Ocean Topography mission discharge estimates
QCam: sUAS-based doppler radar for measuring river discharge
Fundamental hydraulics of cross sections in natural rivers: Preliminary analysis of a large data set of acoustic doppler flow measurements
Satellite remote sensing estimation of river discharge: Application to the Yukon River Alaska
Simulated hydrologic response to climate change during the 21st century in New Hampshire
Engaging the user community for advancing societal applications of the Surface Water Ocean Topography mission
Simulating hydrologic response to climate change scenarios in four selected watersheds of New Hampshire
Assessment of the spatial extent and height of flooding in Lake Champlain during May 2011, using satellite remote sensing and ground-based information
Non-USGS Publications**
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
Science and Products
Data from Across the USA Used to Assess the Uncertainty of Discharge Estimates Using a Modified Manning's Equation
Selected Inputs of Siting Considerations for Satellite Observation of River Discharge
Computed Streamflow Using Satellite Data for Selected Rivers in Alaska
Thirty- and ninety-year data sets of streamflow, groundwater recharge, and snowfall simulating potential hydrologic response to climate change in the 21st century in New Hampshire
USGS HYDRoacoustic dataset in support of the Surface Water Oceanographic Topography satellite mission (HYDRoSWOT)
Siting considerations for satellite observation of river discharge
Satellite remote sensing of river discharge: A framework for assessing the accuracy of discharge estimates made from satellite remote sensing observations
A framework for estimating global river discharge from the Surface Water and Ocean Topography satellite mission
Simulating the effects of climate-related changes to air temperature and precipitation on streamflow and water temperature in the Meduxnekeag River watershed, Maine
Exploring the factors controlling the error characteristics of the Surface Water and Ocean Topography mission discharge estimates
QCam: sUAS-based doppler radar for measuring river discharge
Fundamental hydraulics of cross sections in natural rivers: Preliminary analysis of a large data set of acoustic doppler flow measurements
Satellite remote sensing estimation of river discharge: Application to the Yukon River Alaska
Simulated hydrologic response to climate change during the 21st century in New Hampshire
Engaging the user community for advancing societal applications of the Surface Water Ocean Topography mission
Simulating hydrologic response to climate change scenarios in four selected watersheds of New Hampshire
Assessment of the spatial extent and height of flooding in Lake Champlain during May 2011, using satellite remote sensing and ground-based information
Non-USGS Publications**
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
*Disclaimer: Listing outside positions with professional scientific organizations on this Staff Profile are for informational purposes only and do not constitute an endorsement of those professional scientific organizations or their activities by the USGS, Department of the Interior, or U.S. Government