Jens Christian Refsgaard

Jens Christian Refsgaard
OccupationsHydrologist and academic
Academic background
EducationM.S., Hydrology
Doctorate, Natural Science
Alma materTechnical University of Denmark
University of Copenhagen
Academic work
InstitutionsGeological Survey of Denmark and Greenland (GEUS)

Jens Christian Refsgaard is a hydrologist and academic. He is an emeritus professor at the Geological Survey of Denmark and Greenland.

Refsgaard's research focuses on hydrological modelling, uncertainty analysis, and water resources.

Education

Refsgaard completed his Master's in Hydrology from the Technical University of Denmark in 1976. Later, he obtained a Doctorate in Natural Science from the University of Copenhagen in 2007.[1]

Career

Refsgaard was appointed as an assistant professor Technical University of Denmark in 1978 before becoming an associate professor in 1982, and remained in that position until 1984. Simultaneously, he worked at the Danish Hydraulic Institute (DHI) from 1980 to 2000. He was then a research professor at the Geological Survey of Denmark and Greenland from 2000 to 2018 and has been an emeritus professor there since 2019.[1]

Research

Refsgaard's research has focused on catchment modelling, good modelling practice, uncertainty assessment, and water resources. In catchment modelling, he has worked with physically based hydrological systems such as the MIKE SHE.[2] His work has addressed model parametrization,[3] calibration and validation,[4] as well as comparative evaluation,[5] and has also examined the methodological development of hydrological models.[6] He has contributed to the formulation of guidance on good modelling practice to support appropriate and consistent model use.[7]

In the area of uncertainty assessment of models, Refsgaard has studied approaches for identifying and analysing uncertainties.[8] His publications have highlighted the implications of model structure error[9] and strategies for addressing geological uncertainty in groundwater flow modelling.[10] He has also outlined the modelling procedure[11] and defined modelling uncertainty.[12]

Beyond modelling, Refsgaard's research has examined groundwater–surface water interactions in Denmark through analyses of geomorphological, geological, and hydrological characteristics across multiple regional catchment types.[13] His work has also discussed the accelerating impacts of climate change on the Baltic Sea, describing it as indicative of future coastal ocean conditions.[14]

Awards and honors

  • 2005 – Fellow, The Danish Academy of Technical Sciences[1]
  • 2011 – G.O. Andrup Groundwater Award, Vandcenter Syd[15]

Selected articles

  • Refsgaard, Jens Christian; Knudsen, Jesper (July 1996). "Operational Validation and Intercomparison of Different Types of Hydrological Models". Water Resources Research. 32 (7): 2189–2202. Bibcode:1996WRR....32.2189R. doi:10.1029/96WR00896.
  • Refsgaard, Jens Christian (November 1997). "Parameterisation, calibration and validation of distributed hydrological models". Journal of Hydrology. 198 (1–4): 69–97. Bibcode:1997JHyd..198...69R. doi:10.1016/S0022-1694(96)03329-X.
  • Refsgaard, Jens Christian; Henriksen, Hans Jørgen (January 2004). "Modelling guidelines––terminology and guiding principles". Advances in Water Resources. 27 (1): 71–82. Bibcode:2004AdWR...27...71R. doi:10.1016/j.advwatres.2003.08.006.
  • Refsgaard, Jens Christian; van der Sluijs, Jeroen P.; Brown, James; van der Keur, Peter (November 2006). "A framework for dealing with uncertainty due to model structure error". Advances in Water Resources. 29 (11): 1586–1597. Bibcode:2006AdWR...29.1586R. doi:10.1016/j.advwatres.2005.11.013.
  • Refsgaard, Jens Christian; van der Sluijs, Jeroen P.; Højberg, Anker Lajer; Vanrolleghem, Peter A. (November 2007). "Uncertainty in the environmental modelling process – A framework and guidance". Environmental Modelling & Software. 22 (11): 1543–1556. Bibcode:2007EnvMS..22.1543R. doi:10.1016/j.envsoft.2007.02.004.
  • Refsgaard, Jens Christian; Stisen, Simon; Koch, Julian (January 2022). "Hydrological process knowledge in catchment modelling – Lessons and perspectives from 60 years development". Hydrological Processes. 36 (1) e14463. Bibcode:2022HyPr...36E4463R. doi:10.1002/hyp.14463.

References

  1. ^ a b c "Jens Christian Refsgaard". pub.geus.dk. Retrieved October 31, 2025.
  2. ^ Furman, Alex (May 2008). "Modeling Coupled Surface–Subsurface Flow Processes: A Review". Vadose Zone Journal. 7 (2): 750. Bibcode:2008VZJ.....7..741F. doi:10.2136/vzj2007.0065.
  3. ^ Fu, Baihua; Merritt, Wendy S.; Croke, Barry F.W.; Weber, Tony R.; Jakeman, Anthony J. (April 2019). "A review of catchment-scale water quality and erosion models and a synthesis of future prospects". Environmental Modelling & Software. 114: 86. Bibcode:2019EnvMS.114...75F. doi:10.1016/j.envsoft.2018.12.008.
  4. ^ Singh, Dharmaveer; Vardhan, Manu; Sahu, Rakesh; Chatterjee, Debrupa; Chauhan, Pankaj; Liu, Shiyin (13 March 2023). "Machine-learning- and deep-learning-based streamflow prediction in a hilly catchment for future scenarios using CMIP6 GCM data". Hydrology and Earth System Sciences. 27 (5): 10. Bibcode:2023HESS...27.1047S. doi:10.5194/hess-27-1047-2023.
  5. ^ Golmohammadi, Golmar; Prasher, Shiv; Madani, Ali; Rudra, Ramesh (28 May 2014). "Evaluating Three Hydrological Distributed Watershed Models: MIKE-SHE, APEX, SWAT". Hydrology. 1 (1): 22. Bibcode:2014Hydro...1...20G. doi:10.3390/hydrology1010020.
  6. ^ Chan, San Shing; Seidenfaden, Ida Karlsson; Jensen, Karsten Høgh; Sonnenborg, Torben Obel (October 2021). "Climate change impacts and uncertainty on spatiotemporal variations of drought indices for an irrigated catchment". Journal of Hydrology. 601 126814: 4. Bibcode:2021JHyd..60126814C. doi:10.1016/j.jhydrol.2021.126814.
  7. ^ Ivanov, Valeriy Y.; Bras, Rafael L.; Vivoni, Enrique R. (March 2008). "Vegetation-hydrology dynamics in complex terrain of semiarid areas: 1. A mechanistic approach to modeling dynamic feedbacks". Water Resources Research. 44 (3): 2. Bibcode:2008WRR....44.3429I. doi:10.1029/2006WR005588.
  8. ^ Moges, Edom; Demissie, Yonas; Larsen, Laurel; Yassin, Fuad (25 December 2020). "Review: Sources of Hydrological Model Uncertainties and Advances in Their Analysis". Water. 13 (1): 28. Bibcode:2020Water..13...28M. doi:10.3390/w13010028.
  9. ^ Morgan, M. Granger (20 May 2014). "Use (and abuse) of expert elicitation in support of decision making for public policy". Proceedings of the National Academy of Sciences. 111 (20): 7180. Bibcode:2014PNAS..111.7176M. doi:10.1073/pnas.1319946111. PMID 24821779.
  10. ^ Barnett, Brian; Townley, Lloyd R.; Post, Vincent; Evans, R.E.; Hunt, Randall J.; Peeters, L.; Richardson, Stuart; Werner, Adrian D.; Knapton, Anthony; Boronkay, A. (2012). Australian Groundwater Modelling Guidelines (June 2012 ed.). National Water Commission. ISBN 978-1-921853-91-3.
  11. ^ Süsser, Diana; Ceglarz, Andrzej; Gaschnig, Hannes; Stavrakas, Vassilis; Flamos, Alexandros; Giannakidis, George; Lilliestam, Johan (May 2021). "Model-based policymaking or policy-based modelling? How energy models and energy policy interact". Energy Research & Social Science. 75 101984: 2. Bibcode:2021ERSS...7501984S. doi:10.1016/j.erss.2021.101984.
  12. ^ Hamel, Perrine; Bryant, Benjamin P. (April 2017). "Uncertainty assessment in ecosystem services analyses: Seven challenges and practical responses". Ecosystem Services. 24: 2. Bibcode:2017EcoSv..24....1H. doi:10.1016/j.ecoser.2016.12.008.
  13. ^ Stevens, Lawrence E.; Schenk, Edward R.; Springer, Abraham E. (January 2021). "Springs ecosystem classification". Ecological Applications. 31 (1) e2218. Bibcode:2021EcoAp..31E2218S. doi:10.1002/eap.2218. PMID 32799393.
  14. ^ Viitasalo, Markku; Bonsdorff, Erik (11 April 2022). "Global climate change and the Baltic Sea ecosystem: direct and indirect effects on species, communities and ecosystem functioning". Earth System Dynamics. 13 (2): 712. Bibcode:2022ESD....13..711V. doi:10.5194/esd-13-711-2022.
  15. ^ "Knowledge for growth and welfare" (PDF). eng.geus.dk. Retrieved October 31, 2025.
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