Jennifer Jacobs

Jennifer Jacobs

PROFESSOR
Civil and Environmental Engineering
Phone: (603) 862-0635
Office: EOS ESRC/Civil & Environmental Engineering, Morse Hall Room 453, Durham, NH 03824

Jennifer Jacobs is a Professor in the Department of Civil Engineering at the University of New Hampshire. Dr. Jacobs received her Sc.B. in Electrical Engineering from Brown University in 1987, an M.S. from Tufts University in 1993, and her Ph.D. from Cornell University in 1997. Her research focuses on characterization of hydrologic processes including evapotranspiration, soil-water dynamics, snow melt, and stream water energy across scales through experimentation and modeling. She uses emerging technologies and large data sets to enhance the understanding of distributed hydrological processes. She currently using microwave remote sensing and dynamically down-scaled AOGCM model output to understand continental scale patterns in snow accumulation and melt. She has over 50 published journal articles on these topics. She recently completed service as a member of the Consortium of Universities for the Advancement of Hydrologic Sciences, Inc. (CUAHSI) Executive Committee and Board of Directors and as Director of UNH’s Environmental Research Group. She is the PI of the NSF RCN SEES ICNet project.

Courses Taught

  • CEE 650: Fluid Mechanics Lab
  • CEE 751/851: Open Channel Flow
  • CEE 754/854: Engineering Hydrology
  • CEE 796: Spc Top/Fluid Mech Lab Only
  • CEE 796/896: Spc Top/Snow Hydrology
  • CEE 951: Statistical Hydrology

Education

  • Ph.D., Civil Engineering, Cornell University
  • M.S., Civil Engineering, Tufts University
  • B.S., Electrical and Electronic Engineering, Brown University

Selected Publications

  • Cho, E., Vuyovich, C. M., Kumar, S. V., Wrzesien, M. L., Kim, R. S., & Jacobs, J. M. (n.d.). Precipitation biases and snow physics limitations drive the uncertainties in macroscale modeled snow water equivalent. Hydrology and Earth System Sciences, 26(22), 5721-5735. doi:10.5194/hess-26-5721-2022

  • Farahani, A., Moradikhaneghahi, M., Ghayoomi, M., & Jacobs, J. M. (2022). Application of Soil Moisture Active Passive (SMAP) Satellite Data in Seismic Response Assessment. REMOTE SENSING, 14(17). doi:10.3390/rs14174375

  • Lim, S. H., Ge, Y., Jacobs, J. M., & Jia, X. (2022). Measuring the economic benefits of advanced technology use for river flood forecasting. JOURNAL OF FLOOD RISK MANAGEMENT, 15(2). doi:10.1111/jfr3.12781

  • Fant, C., Jacobs, J. M., Chinowsky, P., Sweet, W., Weiss, N., Sias, J. E., . . . Neumann, J. E. (2021). Mere Nuisance or Growing Threat? The Physical and Economic Impact of High Tide Flooding on US Road Networks. JOURNAL OF INFRASTRUCTURE SYSTEMS, 27(4). doi:10.1061/(ASCE)IS.1943-555X.0000652

  • Cho, E., McCrary, R. R., & Jacobs, J. M. (2021). Future Changes in Snowpack, Snowmelt, and Runoff Potential Extremes Over North America. Geophysical Research Letters, 48(22). doi:10.1029/2021gl094985

  • Choi, M., Jacobs, J. M., Anderson, M. C., & Bosch, D. D. (2013). Evaluation of drought indices via remotely sensed data with hydrological variables. JOURNAL OF HYDROLOGY, 476, 265-273. doi:10.1016/j.jhydrol.2012.10.042

  • Douglas, E. M., Jacobs, J. M., Sumner, D. M., & Ray, R. L. (2009). A comparison of models for estimating potential evapotranspiration for Florida land cover types. JOURNAL OF HYDROLOGY, 373(3-4), 366-376. doi:10.1016/j.jhydrol.2009.04.029

  • Choi, M., & Jacobs, J. M. (2007). Soil moisture variability of root zone profiles within SMEX02 remote sensing footprints. ADVANCES IN WATER RESOURCES, 30(4), 883-896. doi:10.1016/j.advwatres.2006.07.007

  • Sumner, D. M., & Jacobs, J. M. (2005). Utility of Penman-Monteith, Priestley-Taylor, reference evapotranspiration, and pan evaporation methods to estimate pasture evapotranspiration. JOURNAL OF HYDROLOGY, 308(1-4), 81-104. doi:10.1016/j.jhydrol.2004.10.023

  • Jacobs, J. M., Mohanty, B. P., Hsu, E. C., & Miller, D. (2004). SMEX02: Field scale variability, time stability and similarity of soil moisture. REMOTE SENSING OF ENVIRONMENT, 92(4), 436-446. doi:10.1016/j.rse.2004.02.017

  • Most Cited Publications