Picture of  Karl-Erich Lindenschmidt

Karl-Erich Lindenschmidt PhD Associate Professor, School of Environment and Sustainability

Member, Global Institute for Water Security

National Hydrology Research Centre
On leave July 1, 2018 to June 30, 2019.

Research Area(s)

  • Surface water quality modelling
  • River ice processes
  • Climate change and river morphology
  • Flood and flood risk management

Academic Credentials

  • Doctor of Philosophy in Environmental Engineering, Technical University of Berlin
  • Master of Applied Science in Mechanical Engineering, University of Toronto
  • Bachelor of Science in Mechanical Engineering, University of Manitoba


Karl-Erich Lindenschmidt is currently recruiting for a PhD student in in-stream water quality modelling. Details are listed here.

Research Profile

Dr. Lindenschmidt’s key research thrust is in the development of models designed to better forecast and understand flooding as related to ice-jams, an increasingly important risk to our Prairie and other communities.  Over the course of his career, Dr. Lindenschmidt has developed experience in water quality and quantity modelling of rivers and their basins internationally, including the Elbe, Saale, Havel, and Spree Rivers in Germany.  His research interests in modelling river ice freeze-up and ice-jamming have also brought him to Manitoba, Saskatchewan, and the Northwest Territories.  As his projects require intensive field research, he has significantly involved local community members in his work, and much of his research has been directed by community partners.

GIWS Modelling Water Sediment
GIWS River Ice Modelling
Compressed air releasing from Slave River ice cover.
Water gushing out of punctured hole in the Slave River ice cover.

News and Media

Current Research

  • RADARSAT-2 based InSAR and D-InSAR for generating high resolution DEM and monitoring river ice cover displacement in northern Canada
  • Geospatial modelling to forecast ice jamming along the Oder River, Germany.
  • Geospatial models and isotope tracers to identify key fish and animal habitats along the Slave River.
  • Ice-jam flood forecasting and risk assessment of the Oder River.
  • Reinforcing river and lake ice covers to maintain their load-bearing capacity in a warming climate.
  • A Water Quality Modelling System of the Qu'Appelle lliver Catchment for Long Term Water Management Policy Development
  • Climate change impacts on secondary production for fish

Selected Publications

Water Quality

Hosseini, N., Chun, K.P., and Lindenschmidt, K.-E.  2016.  Quantifying spatial changes in the structure of water quality constituents in a large prairie river within two frameworks of a water quality model. Water, 8: 158.  http://dx.doi.org/10.3390/w8040158.

Sadeghian, A., de Boehr, D., Hudson, J., Wheater, H., and Lindenschmidt, K.-E.  2015.  Lake Diefenbaker temperature model. Journal of Great Lakes Research, 41(Supplement 2): 8-21. http://dx.doi.org/10.1016/j.jglr.2015.10.002

Akomeah, E., Chun, K.P. and Lindenschmidt, K.-E.  2015.  Dynamic water quality modelling and uncertainty analysis of phytoplankton and nutrient cycles for the upper South Saskatchewan River. Environmental Science and Pollution Research, 22(22): 18239-18251. http://dx.doi.org/10.1007/s11356-015-4970-0

Morales-Marín, L., Wheater, H., and Lindenschmidt, K.-E.  2015.  Assessing the transport of total phosphorus from a prairie river basin using SPARROW. Hydrological Processes, 29: 4144-4160.  http://dx.doi.org/10.1002/hyp.10555

River Ice

Lindenschmidt, K.-E. (2020) River ice processes and ice flood forecasting – a guide for practitioners and students. Springer Nature Switzerland AG. 267 pp.  https://doi.org/10.1007/978-3-030-28679-8 (Purchase here.)

Chu, T. and Lindenschmidt, K.-E.  2016.  Integration of space-borne and air-borne data in monitoring river ice processes in the Slave River, Canada. Remote Sensing and Environment, 181: 65–81.  http://dx.doi.org/10.1016/j.rse.2016.03.041

Lindenschmidt, K.-E., Das, A., Rokaya, P., and Chu, T.  2016.  Ice jam flood risk assessment and mapping. Hydrological Processes, 30: 3754–3769. http://dx.doi.org/10.1002/hyp.10853

Chu, T., Das, A., and Lindenschmidt, K.-E.  2015.  Monitoring the variation in ice-cover characteristics of the Slave River, Canada using RADARSAT-2 data. Remote Sensing, 7: 13664-13691. http://dx.doi.org/10.3390/rs71013664

Das, A., Sagin, J., van der Sanden, J., Evans, E., McKay, H., and Lindenschmidt, K.-E.  2015.  Monitoring the freeze-up and ice cover progression of the Slave River. Canadian Journal of Civil Engineering, 42(9): 609-621. http://dx.doi.org/10.1139/cjce-2014-0286


Meissner, A.G.N., Carr, M.K., Phillips, I.D., and Lindenschmidt, K.-E.  2016.  Using a Geospatial Model to Relate Fluvial Geomorphology to Macroinvertebrate Habitat in a Prairie River—Part 1: Genus-Level Relationships with Geomorphic Typologies. Water 8(2): 42. http://dx.doi.org/10.3390/w8020042

Carr, M.K., Watkinson, D.A., and Lindenschmidt, K.-E.  2016.  Identifying Links between Geomorphic Response Units (GRU) and Fish Species in the Assiniboine River, Manitoba. Ecohydrology, 9(7) : 1154-1165.  http://dx.doi.org/10.1002/eco.1714

Courses Taught

  • ENVS 808 - Tools and Applications for Sustainability Problem Solving
  • ENVS 824 - River Science
  • ENVS 825 - Water Resources Management in Cold Regions
  • ENVS 898 - River & Lake Ice Processes