Jennifer Jacobs

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

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.


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

Courses Taught

  • CEE 751/851: Open Channel Flow
  • CEE 754/854: Engineering Hydrology
  • CEE 796/896: Spc Top/Snow Hydrology
  • CEE 951: Statistical Hydrology
  • CEE 955: Adv Surface Water Hydrology

Selected Publications

Cho, E., & Jacobs, J. M. (2020). Extreme Value Snow Water Equivalent and Snowmelt for Infrastructure Design Over the Contiguous United States. Water Resources Research, 56(10). doi:10.1029/2020wr028126

Nivedya, M. K., Tao, M., Mallick, R. B., Daniel, J. S., & Jacobs, J. M. (2020). A framework for the assessment of contribution of base layer performance towards resilience of flexible pavement to flooding. International Journal of Pavement Engineering, 21(10), 1223-1234. doi:10.1080/10298436.2018.1533637

Forgotson, C., O'Neill, P. E., Carrera, M. L., Belair, S., Das, N. N., Mladenova, I. E., . . . Escobar, V. M. (2020). How Satellite Soil Moisture Data Can Help to Monitor the Impacts of Climate Change: SMAP Case Studies. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, 1590-1596. doi:10.1109/jstars.2020.2982608

Cho, E., Jacobs, J. M., Jia, X., & Kraatz, S. (2019). Identifying Subsurface Drainage using Satellite Big Data and Machine Learning via Google Earth Engine. Water Resources Research, 55(10), 8028-8045. doi:10.1029/2019wr024892

Schroeder, R., Jacobs, J. M., Cho, E., Olheiser, C. M., DeWeese, M. M., Connelly, B. A., . . . Tuttle, S. E. (2019). Comparison of Satellite Passive Microwave With Modeled Snow Water Equivalent Estimates in the Red River of the North Basin. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12(9), 3233-3246. doi:10.1109/jstars.2019.2926058

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

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

Bosch, D. D., Lakshmi, V., Jackson, T. J., Choi, M., & Jacobs, J. M. (2006). Large scale measurements of soil moisture for validation of remotely sensed data: Georgia soil moisture experiment of 2003. Journal of Hydrology, 323(1-4), 120-137. doi:10.1016/j.jhydrol.2005.08.024

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. (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