Jason C. Fisher

ORCID: 0000-0001-9032-8912

Contact

Education

  • Ph.D. in Civil Engineering, University of California Los Angeles (UCLA), hydrology and water resources program, received May 2005.
  • M.S. in Civil Engineering, UCLA, hydrology and water resources program, received March 2003.
  • M.S. in Environmental Systems, Humboldt State University (HSU), environmental resources engineering option, received May 2000.
  • B.S. in Environmental Resources Engineering, HSU, water resources emphasis, received May 1998.

Employment

  • 2008–present, Hydrologist, U.S. Geological Survey (USGS), Idaho Water Science Center, Idaho National Laboratory Project Office.
  • 2008, Research Engineer, UCLA, Center for Embedded Networked Sensing (CENS), research and lecturing duties.
  • 2007–08, Project Scientist, University of California, Merced (UCM), research and lecturing duties.
  • 2005–08, Contractor: computer graphic design services for the American Institute of Biological Sciences, National Ecological Observatory Network (NEON) group.
  • 2004–07, Postdoctoral Scholar, Department of Engineering, UCM, research and lecturing duties.
  • 2002–04, Graduate Research Assistant, Department of Civil and Environmental Engineering, UCLA.
  • 2001–02, Teaching Assistant, Department of Civil and Environmental Engineering, UCLA.
  • 2000–01, Computer Programmer, U.S. Forest Service, Pacific Southwest Research Station, Redwood Sciences Laboratory (RSL).
  • 1997–00, Hydrologic Technician, U.S. Forest Service, Pacific Southwest Research Station, RSL.

Honors and Certificates

  • Best groundwater report of 2013 from a USGS Water Science Center for “Optimization of water-level monitoring networks in the eastern Snake River Plain aquifer using a kriging-based genetic algorithm method”, intranet.
  • UCLA Civil and Environmental Engineering departmental fellowship, 2000–01 academic year.
  • Engineer-In-Training, FE exam, license number XE104350, issued on Jan. 29, 1998.

Publications

  • Bartholomay, R.C., Maimer, N.V., Rattray, G.W., and Fisher, J.C., 2017, An update of hydrologic conditions and distribution of selected constituents in water, eastern Snake River Plain aquifer and perched groundwater zones, Idaho National Laboratory, Idaho, emphasis 2012–15: U.S. Geological Survey Scientific Investigations Report 2017-5021 (DOE/ID-22242), 87 p., https://doi.org/10.3133/sir20175021.
  • Fisher, J.C., Bartolino, J.R., Wylie, A.H., Sukow, Jennifer, and McVay, Michael, 2016, Groundwater-flow model of the Wood River Valley aquifer system, south-central Idaho: U.S. Geological Survey Scientific Investigations Report 2016-5080, 71 p., http://dx.doi.org/10.3133/sir20165080.
  • Twining, B.V., and Fisher, J.C., 2015, Multilevel groundwater monitoring of hydraulic head and temperature in the eastern Snake River Plain aquifer, Idaho National Laboratory, Idaho, 2011–13: U.S. Geological Survey Scientific Investigations Report 2015-5042 (DOE/ID-22235), 49 p., http://dx.doi.org/10.3133/sir20155042.
  • Davis, L.C., Bartholomay, R.C., Fisher, J.C., and Maimer, N.V., 2015, Water-quality characteristics and trends for selected wells possibly influenced by wastewater disposal at the Idaho National Laboratory, Idaho, 1981–2012: U.S. Geological Survey Scientific Investigations Report 2015-5003 (DOE/ID-22233), 106 p., http://dx.doi.org/10.3133/sir20155003.
  • Fisher, J.C., 2013, Optimization of water-level monitoring networks in the eastern Snake River Plain aquifer using a kriging-based genetic algorithm method: U.S. Geological Survey Scientific Investigations Report 2013-5120 (DOE/ID-22224), 74 p., https://pubs.usgs.gov/sir/2013/5120/, news.
  • Twining, B.V., and Fisher, J.C., 2012, Multilevel groundwater monitoring of hydraulic head and temperature in the eastern Snake River Plain aquifer, Idaho National Laboratory, Idaho, 2009–10: U.S. Geological Survey Scientific Investigations Report 2012-5259, 44 p., plus appendixes, https://pubs.usgs.gov/sir/2012/5259/.
  • Bartholomay, R.C., Davis, L.C., Fisher, J.C., Tucker, B.J., and Raben, F.A., 2012, Water-quality characteristics and trends for selected sites at and near the Idaho National Laboratory, Idaho, 1949–2009: U.S. Geological Survey Scientific Investigations Report 2012-5169 (DOE/ID 22219), 68 p. plus appendixes, https://pubs.usgs.gov/sir/2012/5169/.
  • Fisher, J.C., Rousseau, J.P., Bartholomay, R.C, and Rattray, G.W., 2012, A comparison of U.S. Geological Survey three-dimensional model estimates of groundwater source areas and velocities to independently derived estimates, Idaho National Laboratory and vicinity, Idaho: U.S. Geological Survey Scientific Investigations Report 2012-5152 (DOE/ID-22218), 130 p., https://pubs.usgs.gov/sir/2012/5152/.
  • Fisher, J.C., and Twining, B.V., 2011, Multilevel groundwater monitoring of hydraulic head and temperature in the eastern Snake River Plain aquifer, Idaho National Laboratory, Idaho, 2007–08:, U.S. Geological Survey Scientific Investigations Report 2010-5253, 62 p., https://pubs.usgs.gov/sir/2010/5253/.
  • Ackerman, D.J., Rousseau, J.P., Rattray, G.W., and Fisher, J.C., 2010, Steady-state and transient models of groundwater flow and advective transport, Eastern Snake River Plain aquifer, Idaho National Laboratory and vicinity, Idaho:, U.S. Geological Survey Scientific Investigations Report 2010-5123, 220 p., https://pubs.usgs.gov/sir/2010/5123/.
  • Twining, B.V., Fisher, J.C., and Bartholomay, R.C., 2010, Completion summary for well NRF-16 near the Naval Reactors Facility, Idaho National Laboratory, Idaho:, U.S. Geological Survey Scientific Investigations Report 2010-5101, 36 p., https://pubs.usgs.gov/sir/2010/5101/.
  • Rundel, P.W., Graham, E.A., Allen, M.F., Fisher, J.C., and Harmon, T.C., 2009, Environmental sensor networks in ecological research: New Phytologist, 182(3), p. 589-607, http://dx.doi.org/10.1111/j.1469-8137.2009.02811.x.
  • Goldman, J., Ramanathan, N., Ambrose, R., Caron, D.A., Estrin, D., Fisher, J.C., Gilbert, R., Hansen, M.H., Harmon, T.C., Jay, J., Kaiser, W.J., Sukhatme, G.S., and Tai, Y.-C., 2007, Distributed sensing systems for water quality assessment and management: White Paper published and prepared by the Foresight and Governance Project at the Woodrow Wilson International Center for Scholars, 36 p., pdf.
  • Harmon, T.C., Ambrose, R.F., Gilbert, R.M., Fisher, J.C., Stealey, M., and Kaiser, W.J., 2007, High resolution river hydraulic and water quality characterization using rapidly deployable networked infomechanical systems (NIMS RD): Environmental Engineering Science, 24(2), p. 151-159, http://dx.doi.org/10.1089/ees.2006.0033.
  • Singh, M., Batalin, M., Chen, V., Stealey, M., Jordan, B., Fisher, J.C., Harmon, T.C., Hansen, M.H., and Kaiser, W.J., 2006, Autonomous robotic sensing experiments at San Joaquin River: International Conference on Robotics and Automation (43% acceptance rate), 8 p., http://dx.doi.org/10.1109/ROBOT.2007.364248.
  • Fisher, J.C., 2005, A coupled systems approach to solute transport within a heterogeneous vadose zone-groundwater environment: Ph.D. dissertation, University of California, Los Angeles, CA, 91 p., pdf.
  • Fisher, J.C., 2000, Simulation of partially saturated - saturated flow in the Caspar Creek E-Road groundwater system: M.S. thesis, Humboldt State University, Arcata, CA, 107 p., https://www.treesearch.fs.fed.us/pubs/7765.

Talks

  • USGS National Groundwater Workshop, Reno, NV, Aug. 29, 2016, A case study in reproducible model building: simulating groundwater flow in the Wood River Valley aquifer system, Idaho.
  • The R User Conference (useR!), Stanford University, Stanford, CA, Jun. 28, 2016, A case study in reproducible model building: simulating groundwater flow in the Wood River Valley aquifer system, Idaho, video.
  • USGS Office of Groundwater cyber seminar series, Oct. 9, 2014, A path toward reproducible research, intranet.
  • American Geophysical Union (AGU) Fall Meeting, San Francisco, CA, Dec. 13, 2013, Optimization of water-table monitoring networks in the eastern Snake River Plain aquifer using a kriging-based genetic algorithm method.
  • Water Resource Seminar Series, University of Idaho, ID, Sep. 3, 2013, Optimization of water-level monitoring networks in the eastern Snake River Plain aquifer using a kriging-based genetic algorithm method.
  • USGS National Water Data Conference, Portland, OR, Sep. 25, 2012, Optimization of water-table monitoring networks in the eastern Snake River Plain aquifer using a kriging-based genetic algorithm method.
  • Water Resource Seminar Series, University of Idaho, ID, Sep. 27, 2011, A comparison of USGS 3-D model estimates of groundwater source areas and velocities to independently-derived estimates, INL and vicinity.
  • INL Monitoring and Surveillance Committee Meeting, Idaho Falls, ID, May 19, 2011, An evaluation of the USGS 3-D model using backward particle-tracking to compare model-derived to independently-derived estimates of the source and age of groundwater.
  • AGU Fall Meeting, San Francisco, CA, Dec. 14, 2010, Multilevel groundwater monitoring of hydraulic head and temperature in the eastern Snake River Plain (ESRP) aquifer, 2007–08.
  • Idaho State University (ISU) Department of Geosciences Colloquium, Pocatello, ID, Sep. 29, 2010, Multilevel groundwater monitoring of hydraulic head and temperature in the Eastern Snake River Plain aquifer, 2007 to 2008.
  • AGU Fall Meeting, San Francisco, CA, Dec. 15, 2009, Steady-state and transient groundwater flow and advective transport, ESRP aquifer, Idaho National Laboratory and vicinity, Idaho.
  • INL Monitoring and Surveillance Committee Meeting, Idaho Falls, ID, Nov. 19, 2009, Steady-state and transient models of groundwater flow and advective transport, Eastern Snake River Plain aquifer, INL and vicinity, Idaho.
  • American Water Resources Association (AWRA) Summer Specialty Conference, Missoula, MT, June 28, 2006, Multiscale river hydraulic and water quality observations combining stationary and mobile sensor network nodes.
  • AWRA Annual Water Resources Conference, San Diego, CA, Nov. 8, 2003, Modeling of conjunctive use systems impacted by natural sources of groundwater contamination.

Posters

  • AGU Fall Meeting, San Francisco, CA, Dec. 19, 2014, wrv: An R package for groundwater flow model construction, Wood River Valley aquifer system, Idaho.
  • USGS National Groundwater Workshop, Denver, CO, Aug. 7, 2012, A comparison of model estimates of groundwater source areas and velocities to independently-derived estimates.
  • AGU Fall Meeting, San Francisco, CA, Dec. 7, 2011, Comparing model-derived to independently-derived estimates of the source and age of groundwater, Idaho National Laboratory and vicinity, Idaho.
  • AGU Fall Meeting, San Francisco, CA, Dec. 10, 2007, The Sierra Nevada-San Joaquin Hydrologic Observatory (SNSJHO): a WATERS network test bed.
  • AGU Joint Assembly, Baltimore, MD, May 25, 2006, Multiscale river hydraulic and water quality observations combining stationary and mobile sensor network nodes.
  • AGU Fall Meeting, San Francisco, CA, Dec. 15, 2004, A coupled systems approach to solute transport within a heterogeneous vadose zone–groundwater environment.
  • AGU Chapman Conference on State-of-the-Art in Hillslope Hydrology, Sunriver, OR, Oct. 8, 2001, Simulation of partially saturated–saturated flow in the Caspar Creek E-Road groundwater system.

Code

  • See code repositories on GitHub.

Service

Organizations

  • Member of the AGU, since 1998

center

Idaho National Laboratory, Eastern Snake River Plain, ID