Publications, software & course materials

Email me if you would like to receive a PDF of a paper (d.karssenberg@uu.nl). A large number of my publications can also be accessed and downloaded from http://www.narcis.nl.

Journal publications

Provided here grouped by research themes: design of methods in computational geography, system understanding through computational geography, and education in computational geography.

Methods in computational geography

Wang, J., Schmitz, O., Lu, M. & Karssenberg, D.J. (2020). Thermal unmixing based downscaling for fine resolution diurnal land surface temperature analysis. ISPRS Journal of Photogrammetry and Remote Sensing. https://doi.org/10.1016/j.isprsjprs.2020.01.014

de Jong, K., & Karssenberg, D. (2019). A physical data model for spatio-temporal objects. Environmental Modelling & Software. https://doi.org/10.1016/j.envsoft.2019.104553

Babel, L., Vinck, D., & Karssenberg, D. (2019). Decision-making in model construction: unveiling habits. Environmental Modelling & Software. https://doi.org/10.1016/j.envsoft.2019.07.015

Loozen, Y., Karssenberg, D., De Jong, S. M., Wanga, S., van Dijk, J., Wassen, M. J., & Rebel, K. T. (2019). Exploring the use of vegetation indices to sense canopy nitrogen to phosphorous ratio in grasses. International Journal of Applied Earth Observation and Geoinformation, 75, 1–14. https://doi.org/10.1016/j.jag.2018.08.012

Sutanudjaja, E. H., van Beek, R., Wanders, N., Wada, Y., Bosmans, J. H. C., Drost, N., van der Ent, R. J., de Graaf, I. E. M., Hoch, J. M., de Jong, K., Karssenberg, D., López López, P., Peßenteiner, S., Schmitz, O., Straatsma, M. W., Vannametee, E., Wisser, D., & Bierkens, M. F. P. (2018). PCR-GLOBWB 2: a 5 arcmin global hydrological and water resources model. Geoscientific Model Development, 11(6), 2429–2453. https://doi.org/10.5194/gmd-11-2429-2018

de Bakker, M. P., de Jong, K., Schmitz, O., & Karssenberg, D. (2017). Design and demonstration of a data model to integrate agent-based and field-based modelling. Environmental Modelling & Software, 89, 172–189. https://doi.org/10.1016/j.envsoft.2016.11.016

Verstegen, J. A., Jonker, J. G. G., Karssenberg, D., van der Hilst, F., Schmitz, O., de Jong, S. M., & Faaij, A. P. C. (2017). How a Pareto frontier complements scenario projections in land use change impact assessment. Environmental Modelling & Software, 97, 287–302. https://doi.org/10.1016/j.envsoft.2017.08.006

Bingham, L., Escalona, A., & Karssenberg, D. (2016). Error propagation in a fuzzy logic multi-criteria evaluation for petroleum exploration. International Journal of Geographical Information Science, 1–27. https://doi.org/10.1080/13658816.2016.1142547

Schmitz, O., de Kok, J., & Karssenberg, D. (2016). A software framework for process flow execution of stochastic multi-scale integrated models. Ecological Informatics, 32, 124–133. https://doi.org/10.1016/j.ecoinf.2016.01.009

Verstegen, J. A., Karssenberg, D., van der Hilst, F., & Faaij, A. P. C. (2016). Detecting systemic change in a land use system by Bayesian data assimilation. Environmental Modelling & Software, 75, 424–438. https://doi.org/10.1016/j.envsoft.2015.02.013

Wicke, B., van der Hilst, F., Daioglou, V., Banse, M., Beringer, T., Gerssen-Gondelach, S., Heijnen, S., Karssenberg, D., Laborde, D., Lippe, M., van Meijl, H., Nassar, A., Powell, J., Prins, A. G., Rose, S. N. K., Smeets, E. M. W., Stehfest, E., Tyner, W. E., Verstegen, J. A., Valin, H., van Vuuren, D. P., Yeh, S., & Faaij, A. P. C. (2015). Model collaboration for the improved assessment of biomass supply, demand, and impacts. GCB Bioenergy, 7(3), 422–437. https://doi.org/10.1111/gcbb.12176

Schmitz, O., Salvadore, E., Poelmans, L., Van Der Kwast, J., & Karssenberg, D. (2014). A framework to resolve spatio-temporal misalignment in component-based modelling. Journal of Hydroinformatics, 16(4), 850–871. https://doi.org/10.2166/hydro.2013.180

Vannametee, E., Babel, L. V, Hendriks, M. R., Schuur, J., de Jong, S. M., Bierkens, M. F. P., & Karssenberg, D. (2014). Semi-automated mapping of landforms using multiple point geostatistics. Geomorphology, 221, 298–319. https://doi.org/10.1016/j.geomorph.2014.05.032

Verstegen, J. a., Karssenberg, D., van der Hilst, F., & Faaij, A. P. C. (2014). Identifying a land use change cellular automaton by Bayesian data assimilation. Environmental Modelling & Software, 53, 121–136. https://doi.org/10.1016/j.envsoft.2013.11.009

Lana-Renault, N., & Karssenberg, D. (2013). PyCatch: component based hydrological catchment modelling. Cuadernos de Investigacion Geografica, 39(2), 315–333. https://doi.org/10.18172/cig.1993

Schmitz, O., Karssenberg, D., de Jong, K., de Kok, J.-L., & de Jong, S. M. (2013). Map algebra and model algebra for integrated model building. Environmental Modelling & Software, 48, 113–128. http://dx.doi.org/10.1016/j.envsoft.2013.06.009

Hiemstra, P. H., Karssenberg, D., van Dijk, A., & de Jong, S. M. (2012). Using the particle filter for nuclear decision support. Environmental Modelling and Software, 37, 78–89. https://doi.org/10.1016/j.envsoft.2012.03.003

Karssenberg, D., & Bierkens, M. F. P. (2012). Early-warning signals (potentially) reduce uncertainty in forecasted timing of critical shifts. Ecosphere, 3(2), art15. https://doi.org/10.1890/ES11-00293.1

Wanders, N., Karssenberg, D., Bierkens, M., Parinussa, R., de Jeu, R., van Dam, J., & de Jong, S. (2012). Observation uncertainty of satellite soil moisture products determined with physically-based modeling. Remote Sensing of Environment, 127(0), 341–356. https://doi.org/10.1016/j.rse.2012.09.004

Karssenberg, D., Schmitz, O., Salamon, P., de Jong, K., & Bierkens, M. F. P. (2010). A software framework for construction of process-based stochastic spatio-temporal models and data assimilation. Environmental Modelling & Software, 25(4), 489–502. https://doi.org/10.1016/j.envsoft.2009.10.004

Schmitz, O., Karssenberg, D., van Deursen, W. P. A., & Wesseling, C. G. (2009). Linking external components to a spatio-temporal modelling framework: Coupling MODFLOW and PCRaster. Environmental Modelling & Software, 24(9), 1088–1099. https://doi.org/10.1016/j.envsoft.2009.02.018

Karssenberg, D., De Jong, K., & Van der Kwast, J. (2007). Modelling landscape dynamics with Python. International Journal of Geographical Information Science, 21, 483–495. https://doi.org/10.1080/13658810601063936

Karssenberg, D. (2006). Upscaling of saturated conductivity for Hortonian runoff modelling. Advances in Water Resources, 29, 735–759. https://doi.org/10.1016/j.advwatres.2005.06.012

Karssenberg, D., & De Jong, K. (2005). Dynamic environmental modelling in GIS: 1. Modelling in three spatial dimensions. International Journal of Geographical Information Science, 19(5), 559–579. https://doi.org/10.1080/13658810500032362

Karssenberg, D., & De Jong, K. (2005). Dynamic environmental modelling in GIS: 2. Modelling error propagation. International Journal of Geographical Information Science, 19(6), 623–637. https://doi.org/10.1080/13658810500104799

Karssenberg, D. (2002). The value of environmental modelling languages for building distributed hydrological models. Hydrological Processes, 16(14), 2751–2766. https://doi.org/10.1002/hyp.1068

Wesseling, C. G., Karssenberg, D., van Deursen, W. P. A., & Burrough, P. A. (1996). Integrating dynamic environmental models in GIS: the development of a Dynamic Modelling language. Transactions in GIS, 1, 40–48. https://doi.org/10.1111/j.1467-9671.1996.tb00032.x

System understanding through computational geography

Wang, Y., Storms, J. E. A., Martinius, A. W., Karssenberg, D., & Abels, H. A. (2020). Evaluating alluvial stratigraphic response to cyclic and non-cyclic upstream forcing through process-based alluvial architecture modelling. Basin Research. https://doi.org/10.1111/bre.12454

Watson, L., Straatsma, M., Wanders, N., Verstegen, J.A., de Jong, S.M. (2020). Global ecosystem service values in climate class transitions. Environmental Research Letters. https://doi.org/10.1088/1748-9326/ab5aab

Straatsma, M., Droogers, P., Hunink, J., Berendrecht, W., Buitink, J., Buytaert, W., Karssenberg, D., Schmitz, O., Sutanudjaja, E. H., van Beek, L. P. H., Vitolo, C., & Bierkens, M. F. P. (2020). Global to regional scale evaluation of adaptation measures to reduce the future water gap. Environmental Modelling & Software, 124, 104578. https://doi.org/10.1016/J.ENVSOFT.2019.104578

Lu, M., Schmitz, O., Vaartjes, I., & Karssenberg, D. (2019). Activity-based air pollution exposure assessment: Differences between homemakers and cycling commuters. Health & Place, 60, 102233. https://doi.org/10.1016/J.HEALTHPLACE.2019.102233

Schmitz, O., Beelen, R., Strak, M., Hoek, G., Soenario, I., Brunekreef, B., Vaartjes, I., Dijst, M. J., Grobbee, D. E., & Karssenberg, D. (2019). High resolution annual average air pollution concentration maps for the Netherlands. Scientific Data, 6, 190035. https://doi.org/10.1038/sdata.2019.35

Ntarladima, A.-M., Vaartjes, I., Grobbee, D. E., Dijst, M., Schmitz, O., Uiterwaal, C., Dalmeijer, G., van der Ent, C., Hoek, G., & Karssenberg, D. (2019). Relations between air pollution and vascular development in 5-year old children: a cross-sectional study in the Netherlands. Environmental Health. https://doi.org/10.1186/s12940-019-0487-1

Loozen, Y., Rebel, K. T., Karssenberg, D., Wassen, M. J., Sardans, J., Peñuelas, J., & De Jong, S. M. (2018). Remote sensing of canopy nitrogen at regional scale in Mediterranean forests using the spaceborne MERIS Terrestrial Chlorophyll Index. Biogeosciences, 15(9), 2723–2742. https://doi.org/10.5194/bg-15-2723-2018

Poelman, M., Strak, M., Schmitz, O., Hoek, G., Karssenberg, D., Helbich, M., Ntarladima, A. M., Bots, M., Brunekreef, B., Grobbee, R., Dijst, M., & Vaartjes, I. (2018). Relations between the residential fast-food environment and the individual risk of cardiovascular diseases in the Netherlands: a nationwide follow-up study. European Journal of Preventive Cardiology, 25(3), 1397–1405. https://doi.org/10.1177/2047487318769458

van Steen, Y., Ntarladima, A.-M., Grobbee, D. E., Karssenberg, D., & Vaartjes, I. (2018). Sex-differences in mortality after heat waves: are elderly women at higher risk? International Archives of Occupational and Environmental Health. https://doi.org/10.1007/s00420-018-1360-1

Duden, A. S., Verweij, P. A., Junginger, H. M., Abt, R. C., Henderson, J. D., Dale, V. H., Kline, K. L., Karssenberg, D., Verstegen, J. A., Faaij, A. P. C., & van der Hilst, F. (2017). Modeling the impacts of wood pellet demand on forest dynamics in southeastern United States. Biofuels, Bioproducts and Biorefining. https://doi.org/10.1002/bbb.1803

Karssenberg, D., Bierkens, M. F. P., & Rietkerk, M. (2017). Catastropic shifts in semi-arid vegetation-soil systems may unfold rapidly or slowly. American Naturalist, 9(6), E145–E155. https://doi.org/10.1086/694413

Strak, M., Janssen, N., Beelen, R., Schmitz, O., Karssenberg, D., Houthuijs, D., van den Brink, C., Dijst, M., Brunekreef, B., & Hoek, G. (2017). Associations between lifestyle and air pollution exposure: Potential for confounding in large administrative data cohorts. Environmental Research, 156, 364–373. https://doi.org/10.1016/j.envres.2017.03.050

Strak, M., Janssen, N., Beelen, R., Schmitz, O., Vaartjes, I., Karssenberg, D., van den Brink, C., Bots, M. L., Dijst, M., Brunekreef, B., & Hoek, G. (2017). Long-term exposure to particulate matter, NO2 and the oxidative potential of particulates and diabetes prevalence in a large national health survey. Environment International, 108, 228–236. https://doi.org/10.1016/j.envint.2017.08.017

Verstegen, J. A., van der Hilst, F., Woltjer, G., Karssenberg, D., de Jong, S. M., & Faaij, A. P. C. (2016). What can and can’t we say about indirect land-use change in Brazil using an integrated economic - land-use change model? GCB Bioenergy, 8(3), 561–578. https://doi.org/10.1111/gcbb.12270

Temme, A. J. A. M., Keiler, M., Karssenberg, D., & Lang, A. (2015). Complexity and non-linearity in earth surface processes - concepts, methods and applications. Earth Surface Processes and Landforms, 40(9), 1270–1274. https://doi.org/10.1002/esp.3712

Siteur, K., Eppinga, M. B., Karssenberg, D., Baudena, M., Bierkens, M. F. P., & Rietkerk, M. (2014). How will increases in rainfall intensity affect semiarid ecosystems? Water Resources Research, n/a-n/a. https://doi.org/10.1002/2013WR014955

Wanders, N., Bierkens, M. F. P., de Jong, S. M., de Roo, A., & Karssenberg, D. (2014). The benefits of using remotely sensed soil moisture in parameter identification of large-scale hydrological modelss. Water Resources Research, 50(8), 6874–6891. https://doi.org/10.1002/2013WR014639

Wanders, N., Karssenberg, D., De Roo, A., De Jong, S. M., & Bierkens, M. F. P. (2014). The suitability of remotely sensed soil moisture for improving operational flood forecasting. Hydrology and Earth System Sciences, 18(6), 2343–2357. https://doi.org/10.5194/hess-18-2343-2014

Soomers, H., Karssenberg, D., Soons, M. B., Verweij, P. A., Verhoeven, J. T. A., & Wassen, M. J. (2013). Wind and Water Dispersal of Wetland Plants Across Fragmented Landscapes. Ecosystems, 16(3), 434–451. https://doi.org/10.1007/s10021-012-9619-y

Soomers, H., Karssenberg, D., Verhoeven, J. T. A., Verweij, P. A., & Wassen, M. J. (2013). The effect of habitat fragmentation and abiotic factors on fen plant occurrence. Biodiversity and Conservation, 22(2), 405–424. https://doi.org/10.1007/s10531-012-0420-1

Vannametee, E., Karssenberg, D., Hendriks, M. R., & Bierkens, M. F. P. (2013). Hortonian runoff closure relations for geomorphologic response units: Evaluation against field data. Hydrology and Earth System Sciences, 17(7), 2981–3004. https://doi.org/10.5194/hess-17-2981-2013

van Asselen, S., Karssenberg, D., & Stouthamer, E. (2012). Contribution of peat compaction to relative sea-level rise within Holocene deltas. Geophysical Research Letters, (38). https://doi.org/10.1029/2011GL049835

Van der Hilst, F., Verstegen, J. A., Karssenberg, D., & Faaij, A. P. C. (2012). Spatiotemporal land use modelling to assess land availability for energy crops - illustrated for Mozambique. GCB Bioenergy, 4(6), 859–874. https://doi.org/10.1111/j.1757-1707.2011.01147.x

Vannametee, E., Karssenberg, D., & Bierkens, M. F. P. (2012). Towards closure relations in the Representative Elementary Watershed (REW) framework containing observable parameters: Relations for Hortonian overland flow. Advances in Water Resources, 43, 52–66. https://doi.org/10.1016/j.advwatres.2012.03.029

Verstegen, J. A., Karssenberg, D., van der Hilst, F., & Faaij, A. (2012). Spatio-temporal uncertainty in Spatial Decision Support Systems: A case study of changing land availability for bioenergy crops in Mozambique. Computers, Environment and Urban Systems, 36(1), 30–42. https://doi.org/10.1016/j.compenvurbsys.2011.08.003

Youssef, F., Visser, S., Karssenberg, D., Bruggeman, A., & Erpul, G. (2012). Calibration of RWEQ in a patchy landscape; a first step towards a regional scale wind erosion model. Aeolian Research, 3(4), 467–476. https://doi.org/10.1016/j.aeolia.2011.03.009

Youssef, F., Visser, S. M., Karssenberg, D., Erpul, G., Cornelis, W. M., Gabriels, D., & Poortinga, A. (2012). The effect of vegetation patterns on wind-blown mass transport at the regional scale: A wind tunnel experiment. Geomorphology, 159–160, 178–188. https://doi.org/10.1016/j.geomorph.2012.03.023

Arieira, J., Karssenberg, D., de Jong, S. M., Addink, E. a., Couto, E. G., Nunes da Cunha, C., & Skøien, J. O. (2011). Integrating field sampling, geostatistics and remote sensing to map wetland vegetation in the Pantanal, Brazil. Biogeosciences, 8(3), 667–686. https://doi.org/10.5194/bg-8-667-2011

Hiemstra, P. H., Karssenberg, D., & van Dijk, A. (2011). Assimilation of observations of radiation level into an atmospheric transport model: A case study with the particle filter and the ETEX tracer dataset. Atmospheric Environment, 45(34), 6149–6157. https://doi.org/10.1016/j.atmosenv.2011.08.024

Lam, A., Karssenberg, D., M. Van Den Hurk, B. J. J., & Bierkens, M. F. P. (2011). Spatial and temporal connections in groundwater contribution to evaporation. Hydrology and Earth System Sciences, 15(8), 2621–2630. https://doi.org/10.5194/hess-15-2621-2011

Lana-Renault, N., Latron, J., Karssenberg, D., Serrano-Muela, P., Regüés, D., & Bierkens, M. F. P. (2011). Differences in stream flow in relation to changes in land cover: A comparative study in two sub-Mediterranean mountain catchments. Journal of Hydrology, 411(3–4), 366–378. https://doi.org/10.1016/j.jhydrol.2011.10.020

Brolsma, R. J., Karssenberg, D., & Bierkens, M. F. P. (2010). Vegetation competition model for water and light limitation. I: Model description, one-dimensional competition and the influence of groundwater. Ecological Modelling, 221(10), 1348–1363. https://doi.org/10.1016/j.ecolmodel.2010.02.012

van der Kwast, J., Timmermans, W., Gieske, A., Su, Z., Olioso, A., Jia, L., Elbers, J., Karssenberg, D., & de Jong, S. (2009). Evaluation of the Surface Energy Balance System (SEBS) applied to ASTER imagery with flux-measurements at the SPARC 2004 site (Barrax, Spain). Hydrol. Earth Syst. Sci., 13(7), 1337–1347. https://doi.org/10.5194/hess-13-1337-2009

Karssenberg, D., & Bridge, J. S. (2008). A three-dimensional numerical model of sediment transport, erosion and deposition within a network of channel belts, floodplain and hill slope: extrinsic and intrinsic controls on floodplain dynamics and alluvial architecture. Sedimentology, 55(6), 1717–1745. https://doi.org/10.1111/j.1365-3091.2008.00965.x

Rebel, K. T., Riha, S. J., Karssenberg, D., & Stedinger, J. R. (2007). Simulating tritium fluxes in the vadose zone under transient saturated conditions. Vadose Zone Journal, 6(2), 387–396. https://doi.org/10.2136/vzj2005.0113

Hefting, M., Beltman, B., Karssenberg, D., Rebel, K., van Riessen, M., & Spijker, M. (2006). Water quality dynamics and hydrology in nitrate loaded riparian zones in the Netherlands. Environmental Pollution, 139(1), 143–56. https://doi.org/10.1016/j.envpol.2005.04.023

Hefting, M., Beltman, B., Karssenberg, D., Rebel, K., van Riessen, M., & Spijker, M. (2006). Water quality dynamics and hydrology in nitrate loaded riparian zones in the Netherlands. Environmental Pollution, 139(1), 143–156. https://dx.doi.org/10.1016/j.envpol.2005.04.023

Visser, S. M., Sterk, G., & Karssenberg, D. (2005). Modelling water erosion in the Sahel: application of a physically based soil erosion model in a gentle sloping environment. Earth Surface Processes and Landforms, 30(12), 1547–1566. https://doi.org/10.1002/esp.1212

Visser, S., Sterk, G., & Karssenberg, D. (2005). Wind erosion modelling in a Sahelian environment. Environmental Modelling & Software, 20(1), 69–84. https://doi.org/10.1016/j.envsoft.2003.12.010

Brama, P. A. J., Barneveld, A., Karssenberg, D., Van Kampen, G. P. J., & Van Weeren, P. R. (2001). The application of an indenter system to measure structural properties of articular cartilage in the horse. Suitability of the instrument and correlation with biochemical data. Journal of Veterinary Medicine Series a - Physiology Pathology Clinical Medicine, 48(4), 213–221. https://doi.org/10.1046/j.1439-0442.2001.00353.x

Brama, P. A. J., Karssenberg, D., Barneveld, A., & van Weeren, P. R. (2001). Contact areas and pressure distribution on the proximal articular surface of the proximal phalanx under sagittal plane loading. Equine Veterinary Journal, 33(1), 26–32. https://doi.org/10.2746/042516401776767377

Karssenberg, D., Törnqvist, T. E., & Bridge, J. S. (2001). Conditioning a process-based model of sedimentary architecture to well data. Journal of Sedimentary Research, 71(6), 868–879. https://doi.org/10.1306/051501710868

Brama, P. A. J., Tekoppele, J. M., Bank, R. A., Karssenberg, D., Barneveld, A., & van Weeren, P. R. (2000). Topographical mapping of biochemical properties of articular cartilage in the equine fetlock joint. Equine Veterinary Journal, 32(1), 19–26. https://doi.org/10.2746/042516400777612062

Education in computational geography

Marra, W. A., van de Grint, L., Alberti, K., & Karssenberg, D. (2017). Using GIS in an Earth Sciences field course for quantitative exploration, data management and digital mapping. Journal of Geography in Higher Education, 41(2), 213–229. https://doi.org/10.1080/03098265.2017.1291587

Karssenberg, D., Burrough, P. A., Sluiter, R., & de Jong, K. (2001). PCRaster software and course materials for teaching numerical modelling in the environmental sciences. Transactions in GIS, 5(2), 99–110. https://doi.org/10.1111/1467-9671.00070

Software

LUE, 2017 – present. LUE Scientific Database and Environmental Modelling Framework. Developed in cooperation with K. de Jong, O. Schmitz & M. de Bakker. https://github.com/pcraster/lue

PCRaster open source software for stochastic, spatio-temporal simulation modelling, V1-4, 1996 – present. Developed in cooperation with W.P.A. van Deursen, C. Wesseling, K. de Jong, & O. Schmitz. http://www.pcraster.eu

Editorials

Mariethoz, G., Karssenberg, D., & Grana, D. (2018). Who cares about impact factor? Computers and Geosciences, 115, iii–iv. https://doi.org/10.1016/S0098-3004(18)30374-1

Books

Giupponi, C., Jakeman, A.J., Karssenberg, D. and Hare, M.P. (Eds.) (2006), Sustainable management of water resources: an integrated approach (Cheltenham: Elgar).

Chapters in books

Giupponi, C., Jakeman, A. J., Karssenberg, D., Hare, M. P., Fassio, A., & Letcher, R. A. (2006). Integrated Management of Water Resources: Concepts, Approaches and Challenges. In C. Giupponi, A. J. Jakeman, D. Karssenberg, & M. P. Hare (Eds.), Sustainable management of water resources: an integrated approach (pp. 3–24). Cheltenham: Elgar.

Karssenberg, D., Pfeffer, K., & Visssers, M. (2006). Software tools for hydrological modelling. In C. Giupponi, A. J. Jakeman, D. Karssenberg, & M. P. Hare (Eds.), Sustainable management of water resources: an integrated approach (pp. 235–262). Cheltenham: Elgar.

Karssenberg, D., & De Jong, K. (2006). Towards improved solution schemes for Monte Carlo simulation in environmental modeling languages. In P. J. M. Oosterom & M. J. Kreveld (Eds.), Geo-information and computational geometry. Delft: NCG Nederlandse Commissie voor Geodesie, Netherlands Geodetic Commission.

Burrough, P. A., Karssenberg, D., & van Deursen, W. P. A. (2005). Environmental Modelling with PCRaster. (D. J. Maguire, M. F. Goodchild, & M. Batty, Eds.), GIS, Spatial Analysis and Modeling. Redlands, California: ESRI.

Parker, D. C. (2005). Integration of geographic information systems and agent-based models of land use: prospects and challenges. In D. J. Maguire, M. F. Goodchild, & M. Batty (Eds.), GIS, Spatial Analysis and Modeling (pp. 320–341). Redlands, California: ESRI.

Hefting, M. M., Beltman, B., Karssenberg, D., Rebel, K., van Riessen, M., & Spijker, M. (2003). Water quality dynamics and hydrology in riparian zones in the Netherlands. In Nitrogen transformation and retention in riparian buffer zones. PhD thesis, Utrecht: Universiteit Utrecht.

Pfeffer, K., & Karssenberg, D. (2002). Hydrological model. In K. Pfeffer (Ed.), Integrating spatio-temporal environmnetal models for planning ski-runs. Utrecht: Knag/Faculteit Ruimtelijke Wetenschappen Universiteit Utrecht.

Van Dijck, S. J. E., & Karssenberg, D. (2000). Surface runoff. In S. J. E. Van Dijck (Ed.), Effects of agricultural land use on surface runoff and erosion in a Mediterranean area. Utrecht: Koninklijk Nederlands Aardrijkskundig Genootschap/Faculteit Ruimtelijke Wetenschappen, Universiteit Utrecht.

PhD thesis

Karssenberg, D. (2002). Building dynamic spatial environmental models (Utrecht: Knag/Faculteit Ruimtelijke Wetenschappen Universiteit Utrecht).

Conference papers & abstracts (selection)

Lu, M., Schmitz, O., Soenario, I., Vaartjes, I., and Karssenberg, D. Air pollution exposure assessment across a population in data sparse situations. AAG Annual Meeting, 2019.

Ntarladima, A.M., Vaartjes, I., Grobbee, D., Dijst, M. Schmitz, O., Uiterwaal, C., Dalmeijer, G., Cornelis van der Ent, C., Hoek, G., and Karssenberg, D., Air pollution exposure assessment and health impacts on young children. Dutch Epidemiology Conference, WEON2018, 7-8 June, 2018.

Soenario, I., Helbich, M., Schmitz, O., Hoek, G., van der Molen, M., and Karssenberg, D. The spatio-temporal covariation in combustion related air pollutants in the Netherlands. European Geosciences Union, EGU General Assembly, 2018.

Lu, M., Schmitz, O., Soenario, I., Helbich, M., Vaartjes, I., and Karssenberg, D. Assessment of air pollution exposures across a population: differences between home-based workers and bike commuters. European Geosciences Union, EGU General Assembly, 2018.

Loozen, Y., Rebel, K., Karssenberg, D., Wassen, M., Wang, S., van Dijk, J., Sardans, J., Penuelas, J., and de Jong, S. Sensing nitrogen and phosphorous concentrations in vegetation across different scales. European Geosciences Union, EGU General Assembly, 2018.

Schmitz, O., de Jong, K., de Bakker, M., Lu, M., and Karssenberg, D. Integration of field-based and agent-based modelling paradigms into the PCRaster environmental modelling platform. European Geosciences Union, EGU General Assembly, 2018.

Babel, L., Karssenberg, D., Sociological factors in geoscientific model construction. European Geosciences Union, EGU General Assembly, 2018. Outstanding Student PICO Award Hydrological Sciences.

Vaartjes, I., Strak, M., Karssenberg, D., Hoek, G., Dijst, M., Grobbee. D.E., Bots, M.L., Poelman, M. Studies from the Global Geo Health Data Center: the associations between fast-food outlet density and the incidence of individual-level cardiovascular disease. 21st World Congress of Epidemiology, International Epidemiological Association (IEA), Sonic City in Saitama, Japan, August 19-22, 2017.

Häring, T., Jene, B., Schmitz, O., van der Perk, M., Karssenberg, D. GEORGE - A new, spatially distributed pesticide leaching model using the PyCatch modelling framework. Conference on Pesticide Behaviour in Soils, Water and Air to be held in York, UK 30th August – 1st September, 2017.

Karssenberg, D. Vaartjes, I., Kamphuis, C., Strak, M., Schmitz, O., Soenario, I., de Jong., K. Impacts of environment on human diseases: a web service for the human exposome. European Geosciences Union, EGU General Assembly, 2017.

Straatsma, M., Droogers, P., Hunink, J., Buitink, J., Sutanudjaja, E., Karssenberg, D., van Beek, R., Bierkens, M. Global water marginal cost curves to battle the future water gap. European Geosciences Union, EGU General Assembly, 2017.

de Jong, K., Schmitz, O., Karssenberg, D. The LUE data model for representation of agents and fields. European Geosciences Union, EGU General Assembly, 2017.

Schmitz, O., van der Perk, M., Karssenberg, D., Häring, T., Bernhard, J. Spatially distributed modelling of pesticide leaching at European scale with the PyCatch modelling framework. European Geosciences Union, EGU General Assembly, 2017.

Schmitz, O., de Jong, K., Karssenberg, D. Scalable geocomputation: evolving an environmental model building platform from single-core to supercomputers. European Geosciences Union, EGU General Assembly, 2017.

Marra, W., Groothengel, M., van de Grint, L., Karssenberg, D., Stouthamer, E. Autonomous excursions using tablets and smartphones. European Geosciences Union, EGU General Assembly, 2017.

Bernhard, J., de Roo, A., Bisselink, B., Gelati, E., Karssenberg, D., de Jong, S. Water scarcity and economic damage in Europe: regionally relevant simulations from 2000 to 2050. European Geosciences Union, EGU General Assembly, 2017.

Bernhard, J., Reynaud, A., de Roo, A., Karssenberg, D. European industrial water use: a new dataset with high spatial and sectorial detail. European Geosciences Union, EGU General Assembly, 2017.

Soenario, I., Helbich, M., Schmitz, O., Strak, M., Hoek, G., Karssenberg, D. High resolution spatio-temporal mapping of NO2 pollution for estimating personal exposures of the Dutch population. European Geosciences Union, EGU General Assembly, 2017.

Schmitz, O., de Jong, K., Karssenberg, D., Improving the scalability of an environmental modelling framework to allow for large-scale high-resolution geosimulations, Proceedings of the AGILE International Conference on Geographic Information Science, 2017.

Schmitz, O., D. Karssenberg, K. de Jong, and H. de Raaff. An environmental modelling and information service for health analytics. Free and Open Source Software for Geospatial (FOSS4G) Conference, Bonn, 24-26 August, 2016.

Karssenberg, D., Soenario, I., Schmitz, O., de Jong, K., de Raaff, H., Vaartjes, I., Hoek, G., Strak, M., Brunekreef, B., Hessels, P., de Groot, F.J., Grobbee, D.E., Dijst, M.J. The Global Geo Health Data Centre (GGHDC): a web service for human environmental exposures. International Environmental Modelling and Software Society (iEMSs), 8th International Congress on Environmental Modelling and Software, Toulouse, France, 2016.

Lana-Renault, N., Karssenberg, D. Bierkens, M. Short term and long term impact of vegetation recovery on catchment hydrology. 16th Biennial ERB Conference. Bucarest 5-8 Sep 2016. Best Poster Award.

Strak, M., Janssen, N., Beelen, R., Schmitz, O., Karssenberg, D., van den Brink, C., Houthuijs, D., Dijst, M., Brunekreef, B., and Hoek, G., Associations between lifestyle and air pollution exposure. International Society of Exposure Science Annual Meeting, Utrecht, 9-13 October, 2016.

Marra, W.A., Alberti, K., Karssenberg, D., Improving fieldwork by using GIS for quantitative exploration, data management and digital mapping. European Geosciences Union, EGU General Assembly, 2016.

Alberti, K., Baarsma, R., Marra, W.A., Karssenberg, D., Fieldwork online: a GIS-based electronic learning environment for supervising fieldwork. European Geosciences Union, EGU General Assembly, 2016.

Bingham, L., Straatsma, M., Karssenberg, D., Global Mapping of Provisioning Ecosystem Services. European Geosciences Union, EGU General Assembly, 2016.

Schmitz, O., Soenario, I., Vaartjes, I., Strak, M., Hoek, G., Brunekreef, B., Dijst, M., Karssenberg, D., Evaluating methods for estimating space-time paths of individuals in calculating long-term personal exposure to air pollution. European Geosciences Union, EGU General Assembly, 2016.

de Bakker, M., de Jong, K., Schmitz, O., Karssenberg, D., A conceptual data model and modelling language for fields and agents. European Geosciences Union, EGU General Assembly, 2016.

de Jong, K., de Bakker, M., Karssenberg, D., A physical data model for fields and agents. European Geosciences Union, EGU General Assembly, 2016.

Baarsma, R., Alberti, K., Marra, W.A., Karssenberg, D., Open source large-scale high-resolution environmental modelling with GEMS. European Geosciences Union, EGU General Assembly, 2016.

de Jong, K., Schmitz, O., Karssenberg, D., Generic algorithms for high performance scalable geocomputing. European Geosciences Union, EGU General Assembly, 2016.

Baarsma, R., Schmitz, O., Karssenberg, D., A backtracking algorithm that deals with particle filter degeneracy. European Geosciences Union, EGU General Assembly, 2016.

Loozen, Y., Rebel, K.T., Karssenberg, D., de Jong, S.M., Wassen, M.J., Remote sensing of leaf N to improve carbon assimilation prediction. European Geosciences Union, EGU General Assembly, 2016.

Verstegen, J.A., van der Hilst, F., Karssenberg, D., A framework to assess model structure stationarity. Geocomputation 2015.

Lana-Renault, N., Karssenberg, D., Bierkens, M., Serrano Muela M.P., Short term and long term impact of vegetation recovery on seasonal streamflows. European Geosciences Union, EGU General Assembly, 2015.

Karssenberg, D., Lana-Renault, N., Schmitz, O., PyCatch: catchment modelling in the PCRaster framework. European Geosciences Union, EGU General Assembly, 2015.

Schmitz, O., de Kok, J.L., de Jong, K., Karssenberg, D., A framework for integrated, multi-scale model construction and uncertainty assessment. European Geosciences Union, EGU General Assembly, 2015.

Schmitz, O., Beelen, R.M.J., de Bakker, M.P., Karssenberg, D. Evaluating the effect of human activity patterns on air pollution exposure using an integrated field-based and agent-based modelling framework. European Geosciences Union, EGU General Assembly, 2015.

Marra, W.A., Alberti, K., Karssenberg, D., Enhancing fieldwork learning using blended learning, GIS and remote supervision. European Geosciences Union, EGU General Assembly, 2015.

de Bakker, M., de Jong, K., Schmitz, O., Karssenberg, D., Integrated modelling with fields and agents. Conference on Spatial Information Theory, Santa Fe, USA, October 12-16, 2015.

de Jong, K., de Bakker, M.P., Karssenberg, D., An environmental modeling language for agents and fields. International Environmental Modelling and Software Society (iEMSs), 7th International Congress on Environmental Modelling and Software, San Diego, California, USA, D.P. Ames, N. Quinn (Eds.), 2014.

de Bakker, M.P., de Jong, K., Karssenberg, D., A conceptual data model for integrating fields and agents. International Environmental Modelling and Software Society (iEMSs), 7th International Congress on Environmental Modelling and Software, San Diego, California, USA, D.P. Ames, N. Quinn (Eds.), 2014.

Karssenberg, D., Slow or rapid collapse? Transients between stable states as a source of uncertainty in predicting ecosystem shifts. International Environmental Modelling and Software Society (iEMSs), 7th International Congress on Environmental Modelling and Software, San Diego, California, USA, D.P. Ames, N. Quinn (Eds.), 2014.

Bingham, L. and D. Karssenberg, Error propagation in a fuzzy logic spatial multi-criteria evaluation, in Huerta, Schade, Granell (Eds): Connecting a Digital Europe through Location and Place. Proceedings of the AGILE’2014 International Conference on Geographic Information Science, Castello, June 3-6, 2014.

Siteur, K., Eppinga, M., Karssenberg, D., Baudena, M., Bierkens, M., Rietkerk, M., How will increases in rainfall intensity affect semiarid ecosystems? European Geosciences Union, EGU General Assembly, 2014.

Karssenberg, D., Bierkens, M.F.P., Catastrophic shifts in vegetation-soil systems may unfold rapidly or slowly independent of the rate of change in the system driver. European Geosciences Union, EGU General Assembly, 2014.

Verstegen, J., Karssenberg, D., van der Hilst, F., Faaij, A., Systemic change increases model projection uncertainty. European Geosciences Union, EGU General Assembly, 2014.

Straatsma, M., Droogers, P., Brandsma, J., Buytaert, W., Karssenberg, D. van Beek, R. Wada, Y., Sutanudjaja, E., Vitolo, C., Schmitz, O., Meijer, K., van Aalst, M., Bierkens, M., Bridging the climate-induced water gap in the twenty-first century: adaptation support based on water supply, demand, adaptation and financing. European Geosciences Union, EGU General Assembly, 2014.

Verstegen, J., van der Hilst, F., Karssenberg, D., Faaij, A., Integrated assessment of future land use in Brazil under increasing demand for bioenergy. European Geosciences Union, EGU General Assembly, 2014.

Vannametee, E., Karssenberg, D., Hendriks, M., Bierkens, M.F.P., A bottom-up approach to derive the closure relation for modelling hydrological fluxes at the watershed scale. European Geosciences Union, EGU General Assembly, 2014.

Babel, L., Vannametee, E., Hendriks, M., Schuur, J., de Jong, S., Bierkens, M., Karssenberg, D., Mapping geomorphology based on the information from existing geomorphological maps with a multiple-point geostatistics technique. European Geosciences Union, EGU General Assembly, 2014.

Schmitz, O., Straatsma, M., Karssenberg, D., Bierkens, M.F.P., Stochastic optimisation of water allocation on a global scale. European Geosciences Union, EGU General Assembly, 2014.

Schmitz, O., Karssenberg, D., de Jong, K., de Kok, J.-L., de Jong, S.M., Development of an integrated modelling framework: comparing client-server and demand-driven control flow for model execution. European Geosciences Union, EGU General Assembly, 2014.

Alberti, K., de Jong, K., Karssenberg, D., A virtual globe for environmental impact assessment. European Geosciences Union, EGU General Assembly, 2014.

Abels, H.A., Wang, C., Lauretano, V., Bowen, G.J., Karssenberg, D., Ziegler, M., Li, G., van den Berg, P., van Broekhuizen, S., Hopman, T., Laks, J., Adriaens, R., Clyde, W., Elsen, J., Kraus, M.J., Sluijs, A., Vandenberghe, N., Lourens, L.J., Gingerich, P.D., Terrestrial sedimentary archives of episodes of greenhouse warming in ancient river floodplain deposits of the Bighorn Basin, Wyoming. Climatic and Biotic Events of the Paleogene, Ferrara, Italy, July 1-6, 2014.

Karssenberg, D., The PCRaster modelling platform. Dutch OSGeo.nl day, 13 Nov., 2013, Delft, the Netherlands.

Drost, N., Sutanadjaja, E.H., Hut, R.W., Steele-Dunne, S., de Jong, K., van Beek, L.P.H., Karssenberg, D., Bierkens, M.F.P., van de Giesen, N., eWaterCycle: Developing a hyper resolution global hydrological model. American Geophysical Union, 2013, General Assembly.

Wanders, N., Bierkens, M.F.P., de Jong, S.M., de Roo, A., Karssenberg, D., The benefits of using remotely sensed soil moisture in parameter identification of large-scale hydrological models. EGU General Assembly, 2013.

Verstegen, J.A., Karssenberg, D., van der Hilst, F., Faaij, A., Systemic change increases forecast uncertainty of land use change models. American Geophysical Union, General Assembly, 2013.

van der Hilst, Verstegen, J.A., Karssenberg, D., Faaij, A., Uncertainty assessment of future land use in Brazil under increasing demand for bioenergy. American Geophysical Union, General Assembly, 2013.

Cockx, K., van de Voorde, T., Canters. F., Poelmans, L., Uljee, I., Engelen, G., de Jong, K., Karssenberg, D., J. van der Kwast, Incorporating land-use mapping uncertainty in remote sensing based calibration of land-use change models. 8th International Symposium on Spatial Data Quality on 29 May - 1 June 2013, Hong Kong.

Karssenberg, D., Drost, N., Schmitz, O., de Jong, K., Bierkens, M., Large scale stochastic spatio-temporal modelling with PCRaster Python. European Geosciences Union, EGU General Assembly, 2013.

Alberti, K., de Jong, K., Karssenberg, D., A web application for visualizing uncertainty in numerical ensemble models. European Geosciences Union, EGU General Assembly, 2013.

Lana-Renault, N., Karssenberg, D., Serrano, M.P., Bierkens, M.F.P., Assessing the relative effect of vegetation and soils on streamflow response in relation to vegetation recovery. European Geosciences Union, EGU General Assembly, 2013.

Vannametee, E., Karssenberg, D., Hendriks, M.R., & Bierkens, M.F.P., Hortonian runoff modeling with the Representative Elementary Watershed approach: identifying and testing the closure relation with observed watershed characteristics. Asia Oceania Geosciences Society (AOGS) Joint Assembly, Singapore, 13-17 April 2012.

Vannametee, E., Babel, L.V., Karssenberg, D., Schuur, J., Hendriks, M.R. & Bierkens, M.F.P., Multiple Point Geostatistics for Automated Derivation of Hydrologic Response Units in Semi-distributed Models. Asia Oceania Geosciences Society (AOGS) Joint Assembly, Singapore, 13-17 April 2012.

Vannametee, E., Babel, L.V., Karssenberg, D., Schuur, J., Hendriks, M.R., Bierkens, M.F.P., 2012. Automated geomorphological mapping using Multiple Point Geostatistics. European Geosciences Union, EGU General Assembly, 2012.

Karssenberg, D., Schmitz, O., de Jong, K., Stochastic spatio-temporal modelling with PCRaster Python. European Geosciences Union, EGU General Assembly, 2012.

Wanders, N. Karssenberg, D., Bierkens, M.F.P., Van Dam, J.C., de Jong, S.M., Using high-resolution soil moisture modelling to assess the uncertainty of microwave remotely sensed soil moisture products at the correct spatial and temporal support. European Geosciences Union, EGU General Assembly, 2012, Wien.

Youssef, F., Visser, S., Karssenberg, D., Slingerland, E., Erpul, G., Ziadat, F., Stroosnijder, L., Strategies for Measuring Wind Erosion for Regional Scale Modeling. European Geosciences Union, EGU General Assembly, 2012, Wien.

Hut, R., Sutanudjaja, E.H., Drost, N., van Beek, L.P.H., Steele-Dunne, S., de Jong, K., Karssenberg, D., van de Giesen, N., Bierkens, M.F.P., eWaterCycle: real time assimilation of massive data streams into a hyper-resolution global hydrological model. European Geosciences Union, EGU General Assembly, 2012.

Schmitz, O., Karssenberg, D., de Kok, J-L., Towards integrated model building with semantically annotated components. Proceedings of 6th International Congress on Environmental Modelling and Software (iEMSs), 1-5 July 2012, Leipzig, Germany.

van der Kwast, J., Van de Voorde, T., de Jong, K., Uljee, I., Karssenberg, D., Canters, F., Engelen, G., Poelmans, L., Uncertainty analysis and data-assimilation of remote sensing data for the calibration of cellular automata based land-use models. Proceedings of 6th International Congress on Environmental Modelling and Software (iEMSs), 1-5 July 2012, Leipzig, Germany.

Verstegen, J.A., Karssenberg, D., Identifying transition rules in a cellular automaton by sequential assimilation of observations. Proceedings of CAMUSS, Oporto, Portugal, November 8 to 10, 2012.

Lana-Renault, N., Latron, J., Karssenberg, D., Serrano, P., Regues, D., Bierkens, M.F.P., Seasonal differences in runoff between forested and non-forested catchments: a case study in the Spanish Pyrenees. Revisiting Experimental Catchment Studies in Forest Hydrology (Proceedings of a Workshop held during the XXV IUGG General Assembly in Melbourne, June‚ July 2011) (IAHS Publ. 353, 2012).

Karssenberg, D., Bierkens, M.F.P., Early-warning signals (potentially) reduce uncertainty in forecasted timing of critical shifts. European Geosciences Union, EGU General Assembly, 2012.

Karssenberg, D., Schmitz, O., de Jong, K., Stochastic spatio-temporal modelling with PCRaster Python. European Geosciences Union, EGU General Assembly, 2012.

Wanders, N., Karssenberg, D., Bierkens, M.F.P., van Dam, J.C., de Jong S.M., Using high-resolution soil moisture modelling to assess the uncertainty of microwave remotely sensed soil moisture products at the correct spatial and temporal support. European Geosciences Union, EGU General Assembly, 2012.

Vannametee, E., Babel, L., Karssenberg, D., Schuur, J., Hendriks, M.R., Bierkens, M.F.P., Automated geomorphological mapping using Multiple Point Geostatistics. European Geosciences Union, EGU General Assembly, 2012.

Karssenberg, D., Vannametee, E., Babel, L., Schuur, J., Hendriks, M.R., Bierkens, M.F.P., Multiple Point Geostatistics for automated landform mapping. American Geophysical Union, 2011, General Assembly.

Soomers, H., Karssenberg, D., Soons, M.B., Verweij, P.A., Verhoeven, J.T.A., Wassen, M.J., Modelling dispersal of wetland plant seeds by wind and water, NERN Netherlands Annual Ecology Meeting, 8-9 Feb. 2011.

van der Hilst, F., Verstegen, J.A., Karssenberg, D., Faaij, A.P.C., Spatial modelling of land availability for biomass resources. 19th European Biomass Conference and Exhibition. From Research to Industry and Markets, 6-10 June, 2011, Berlin, Germany.

Karssenberg, D., Bierkens, M.F.P., Early-warning signals (potentially) reduce uncertainty in forecasted timing of critical shifts in vegetation systems. European Geosciences Union, EGU General Assembly, 2011.

Verstegen, J., van der Hilst, F., Karssenberg, D., Faaij, E. Communicating uncertainty in spatial decision support systems - a case study of bioenergy-crop potentials in Mozambique. European Geosciences Union, EGU General Assembly, 2011.

Schmitz, O., Karssenberg, D., de Jong, K., de Kok, J.L., Constructing integrated models: a scheduler to execute coupled components. European Geosciences Union, EGU General Assembly, 2011.

Verstegen, J.A., van der Hilst, F., Karssenberg, D. Faaj, A., 2011, Communicating Uncertainty in Spatial Decision Support Systems: a Case Study of Bioenergy-Crop Potentials in Mozambique, 14th AGILE International Conference on Geographic Information Science, Advancing Geoinformation Science for a Changing World, Utrecht, the Netherlands. Best paper session.

Schmitz, O., Karssenberg, D., de Jong, K, de Kok , J.L., Constructing integrated models: a scheduler to execute coupled components, 14th AGILE International Conference on Geographic Information Science, Advancing Geoinformation Science for a Changing World, Utrecht, the Netherlands, 2011.

van Hoesel, A., Karssenberg, D., Cohen, K.M., Modelling the opening of the Dover Strait: retrograding pro-glacial lake spillage. XVIII INQUA-Congress, July 21-17, Bern, Switzerland, 2011.

Cohen, K.M., Busschers, F.S., Gibbard, P., Hijma, M.P., van Hoesel, A., Karssenberg, D.J., The successive roles of proglacial drainage, normal ice-age rivers and marine processes in eroding the Strait of Dover and adjacent southernmost North Sea in the last 500 ka. XVIII INQUA-Congress, July 21-17, 2011, Bern, Switzerland.

van der Kwast, J., Canters, F., Karssenberg, D., Engelen, G., Van de Voorde, T., Uljee, I. and de Jong, K., 2011, Remote sensing data assimilation in modeling urban dynamics: Objectives and methodology. Procedia Environmental Sciences, 7, pp. 140-145.

Lana-Renault, N, Latron, J., Karssenberg, D., Serrano, M.P., Regues, D., Bierkens, M.F.P., 2011, Comparing the Streamflow Response of Two Sub-Mediterranean Mountain Catchments with Different Land Covers, IUGG, Earth on the Edge: Science for a Sustainable Planet, Melbourne, Australia, 28 June - 7 July, 2011.

Cohen, K., Busschers, F., Gibbard, P.L., Hijma, M.P., van Hoesel, A., Karssenberg, D., The successive roles of proglacial drainage, normal ice-age rivers and marine processes in eroding the Strait of Dover and adjacent southernmost North Sea in the last 500 ka. XVIII. INQUA Congress, Quaternary sciences - the view from the mountains, 20-27 July, 2011, Bern.

van der Kwast, J., Canters F., Karssenberg, D., Engelen, G., Remote sensing data assimilation in modelling of urban dynamics, 1st Conference on Spatial Statistics 2011, Mapping Global Change, 23-25 March 2011, University of Twente, Enschede, The Netherlands.

Youssef, F., Visser, S., Karssenberg, D., Bruggeman, A., Erpul, G., Calibration of RWEQ in a patch landscape; a first step towards a regional scale wind erosion model, Third Conference on Desertification and Land Degradation, 2011, Ghent, Belgium.

Hiemstra, P.H., and Karssenberg, D., Modeling nuclear accidents using an atmospheric transport model and the particle filter. GIScience 2010, Zurich, Switzerland, 14-17 September, 2010.

Youssef, F., Visser, S., Karssenberg, D., Broggeman, A., Erpul, G., Calibration of RWEQ in a patchy landscape; a first step towards a regional scale wind erosion model. ICAR VII, International conference on aeolian research, Santa Rosa La Pampa, Argentina, 5-9 July, 2010.

Karssenberg, D., Stouthamer, E., Bridge, J.S., External forcing and emergence in fluvial systems: results from a fluvial system model compared with observations from the Holocene Rhine-Meuse delta. In From Depositional Systems to Sedimentary Sucessions on the Norwegian Continental Shelf., Stavanger Forum, Stavanger, Norway, 4-6 May, 2010.

Hendriks, M.R. and Karssenberg, D., Teaching geographical hydrology in a non-stationary world. In European Geosciences Union, EGU General Assembly, 2010, Wien.

Karssenberg, D., Early-warning signals for catastrophic soil degradation. In European Geosciences Union, EGU General Assembly, 2010, Wien.

Vannametee, E., Karssenberg, D., Hendriks, M.R., de Jong, S.M., and Bierkens, M.F.P., Development of a transient, lumped hydrologic model for geomorphologic units in a geomorphology based rainfall-runoff modelling framework. In European Geosciences Union, EGU General Assembly, 2010, Wien.

Karssenberg, D., and Bierkens, M.F.P., The use of spatio-temporal correlation to forecast critical transitions. In European Geosciences Union, EGU General Assembly, 2010, Wien.

Karssenberg, D., de Vries, L.M., Bridge, J.S. and Cohen, K., A process-based method to predict 3D sedimentary architecture conditioned to real-world data: alluvial architecture in the Rhine-Meuse delta. In European Geosciences Union, EGU General Assembly, 2010, Wien.

Lana-Renault, N., Karssenberg, D., Bierkens, M.F.P., Latron, J. and Serrano-Muela, M.P., Changes in catchment hydrology in relation to vegetation recovery: a comparative modelling experiment. In European Geosciences Union, EGU General Assembly, 2010, Wien.

Lam, A., Karssenberg, D., van den Hurk, B.J.J.M., Bierkens, M.F.P., The importance of groundwater convergence to dry-season evaporation in the Danube basin. American Geophysical Union, Fall Meeting 2009.

Salamon, P., Karssenberg, D. and Schmitz, O., Assimilating remotely sensed and other measured data types to improve predictive capabilities of distributed hydrological models using particle filtering. In Sustaining the Millennium Development Goals, 33rd International Symposium on Remote Sensing of Environment, May 4-8, 2009, Stresa, Lago Maggiore, Italy.

Kwast, J., Karssenberg, D. and De Jong, S.M., Quantification of top soil moisture patterns: evaluation of field methods, process-based modelling, remote sensing and an integrated approach. In Luxembourg Earth Observation Day, Remote Sensing Applications in Environmental Sciences, Nov, 19th, 2008, Bourglinster (Grand-duchy of Luxembourg).

Karssenberg, D., Schmitz, O., de Vries, L.M. and De Jong, K., A tool for construction of stochastic spatio-temporal models assimilated with observational data. In 11th AGILE International Conference on Geographic Information Science, 2008, L. Bernard, A. Friss-Christensen, H. Pundt and I. Compte (Eds.), Girona).

Karssenberg, D., de Jong, K. and Schmitz, O., A software environment for stochastic spatio-temporal modelling. In European Geosciences Union, EGU General Assembly, 2008, Wien.

Karssenberg, D. and Bridge, J.S., Complex behaviour of a modelled fluvial system under Holocene environmental change. In European Geosciences Union, General Assemblies, 2008, Wien.

Schmitz, O., Karssenberg, D., van Deursen, W.P.A. and Bogaard, T., Integrated, exploratory catchment modelling: coupling PCRaster and MODFLOW. In European Geosciences Union, General Assemblies, Wien.

Peters, L., Lutgert, J., Douma, S. and Karssenberg, D., Assessing the value of different types of information for reservoir modelling using the Ensemble Kalman Filter. In International Mineralogical Association, 2007, Edinburgh.

Pebesma, E.J., Karssenberg, D. and De Jong, K., Dynamic visualisation of spatial and spatio-temporal probability density functions. In The Seventh International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, 5-7 July 2006, Lisbon, Portugal.

Van Asch, T.W.J., Begueria, S., Malet, J.-P., Jetten, V., Karssenberg, D.-J. and Laigle, D., Simulation of debris flow spreading on low-gradient fans: a comparison of two modelling approaches. In European Geosciences Union, General Assembly 2005, 24-29 April 2005, Vienna, Austria.

Karssenberg, D. and Bridge, J.S., A 3D model simulating sediment transport, erosion and deposition within a network of channel belts and an associated floodplain. In 8th International Conference on Fluvial Sedimentology, 7-12 Aug, 2006, G.J. Weltje, P. de Boer, J. VandenBerghe, K. van der Zwan, E. Stouthamer and H. Wolfert (Eds.), Delft, the Netherlands.

Dalman, R.A.F., Karssenberg, D., Weltje, G.J., Postma, G. and Bridge, J.S., Linking alluvial and deltaic stratigraphy using nested, numerical models. In 8th international Conference on Fluvial Sedimentology, 2005, Delft, the Netherlands: Delft University of Technology.

Dalman, R., Karssenberg, D., Weltje, G.J., Postma, G.J. and Bridge, J.S., Associating alluvial stratigraphy with fluvio-deltaic evolution by nested numerical models. In 8th International Conference on Fluvial Sedimentology, 2005, Delft, the Netherlands.

Bridge, J.S. and Karssenberg, D., Simulation of flow and sedimentary processes, including channel bifurcation and avulsion, on alluvial fans. In 8th international Conference on Fluvial Sedimentology, 2005, Delft, the Netherlands: Delft University of Technology.

Karssenberg, D., Dalman, R., Weltje, G.J., Postma, G. and Bridge, J.S., Numerical modelling of delta evolution by nesting high and low resolution process-based models of sedimentary basin filling. In EURODELTA/EUROSTRATAFORM symposium, October 20-23, 2004, Venice, Italy.

Karssenberg, D., Bridge, J.S., Stouthamer, E., Kleinhans, M.G. and Berendsen, H.J.A., Modelling cycles of fluvial aggradation and degradation using a process-based alluvial stratigraphy model. In Numerical and physical modelling of sedimentary systems, from understanding to prediction, 9-11 Oct 2003, P. De Boer, G. Postma, P. Kukla, C.J. Van der Zwan, P.M. Burgess, I. Ritsema and F. van den Belt (Eds.), Utrecht, the Netherlands.

Rebel, K.T., Riha, S.J., Karssenberg, D. and Hitchcock, D.R., A Spatial Explicit Watershed Model of Water and Tritium Fluxes in the Vadose Zone. In American Geophysical Union 2002 Spring Meeting, Washington.

Pfeffer, K., Karssenberg, D., van Asch, T.W. and Burrough, P.A., Application of spatio-temporal environmental modelling and multi-criteria analysis to optimise the planning of socio-economic infrastructure. In iEMSs 2002, Integrated Assessment and Decision Support, Lugano, Switzerland.

Karssenberg, D. and Pfeffer, K., Application of PCRaster for environmental impact asessment using environmental models, keynote. In Policies and Tools for Sustainable Water Management in the EU, November 21-23, Venice International University, Venice.

De Jong, K., Wesseling, C.G. and Karssenberg, D., Improving the model development cycle by automatic configuration of modelling tools. In Proceedings iEMSs 2002, Integrated Assessment and Decision Support, Lugano, Switzerland.

Karssenberg, D., Bridge, J.S. and de Jong, K., Modeling cycles of fluvial aggradation and degradation due to base-level change using a revised process-based, 3D alluvial stratigraphy model. In Fluvial Sedimentology 2001, 7th International Conference on Fluvial Sedimentology, Lincoln, Nebraska.

van Deursen, W.P.A., Wesseling, C. and Karssenberg, D., How do we gain control over GIS technology? In International Conference on Integrating Geographic Information Systems and Environmental Modeling: Problems, Prospectus, and Needs for Research. B.O. Parks, K.M. Clarke and M.P. Crane (Eds.), 2000, Banff, Canada: Boulder: University of Colorado - Cooperative Institute for Research in Environmental Sciences, Denver: US Geologic Survey - Center for Biological Informatics, and Boulder: NOAA National Geophysical Data Center - Ecosystem Informatics.

Sluiter, R., van Steijn, H., Karssenberg, D., Burrough, P.A., Wesseling, C. and de Jong, K., Interactive computer models for teaching dynamic geomorphological processes. An example of web-based distance learning. In International Conference on Integrating Geographic Information Systems and Environmental Modeling: Problems, Prospectus, and Needs for Research. B.O. Parks, K.M. Clarke and M.P. Crane (Eds.), 2000, Banff, Canada: Boulder: University of Colorado - Cooperative Institute for Research in Environmental Sciences, Denver: US Geologic Survey - Center for Biological Informatics, and Boulder: NOAA National Geophysical Data Center - Ecosystem Informatics.

Perk, M.v.d., Jetten, V.G., Karssenberg, D., He, Q., Walling, D.E., Laptev, G.V., Voitsekhovitch, O.V., Svetlichnyi, A.A., Slavik, O., Linnik, V.G., Korobova, E.M., Kivva, S. and Zheleznyak, M., Assessment of spatial redistribution of Chernobyl-derived radiocaesium within catchments using GIS-embedded models. In The Role of Erosion and Sediment Transport in Nutrient and Contaminant Transfer, Waterloo Symposium. M. Stone (Ed.), 2000, IAHS.

Pebesma, E.J., Karssenberg, D. and de Jong, K., The stochastic dimension in a dynamic GIS. In Compstat 2000, Proceedings in Computational Statistics. 14th Conference of the International Association for Statistical Computing, 21-25 aug. 2000, J.G. Bethlehem and P.G.M. van der Heijden (Eds.), Utrecht: Physica-Verlag.

Karssenberg, D., de Jong, K. and Burrough, P.A., An environmental modeling language for model construction in the temporal, 3D spatial and stochastic dimension: concepts. In International Conference on Integrating Geographic Information Systems and Environmental Modeling: Problems, Prospectus, and Needs for Research. B.O. Parks, K.M. Clarke and M.P. Crane (Eds.), Banff, 2000, Canada: Boulder: University of Colorado - Cooperative Institute for Research in Environmental Sciences, Denver: US Geologic Survey - Center for Biological Informatics, and Boulder: NOAA National Geophysical Data Center - Ecosystem Informatics.

De Jong, K., Burrough, P.A., Karssenberg, D. and Pebesma, E.J., An environmental modeling language for model construction in the temporal, 3D spatial and stochastic dimension: prototype. In International Conference on Integrating Geographic Information Systems and Environmental Modeling: Problems, Prospectus, and Needs for Research. B.O. Parks, K.M. Clarke and M.P. Crane (Eds.), 2000, Banff, Canada: Boulder: University of Colorado - Cooperative Institute for Research in Environmental Sciences, Denver: US Geologic Survey - Center for Biological Informatics, and Boulder: NOAA National Geophysical Data Center - Ecosystem Informatics.

Burrough, P.A., Wesseling, C.G., Sluiter, R., Karssenberg, D., de Jong, K. and van der Meer, M., Virtual landscapes, interactive models for learning about geographical change. In 4th International Conference on Environmental Modelling, Problems, Prospects and Research Needs., Banff, 2000, Alberta, Canada.

Wesseling, C.G., van Deursen, W.P.A., Karssenberg, D. and Burrough, P.A., Experience and applications of a GIS based dynamic modelling language. In Second Joint European Conference & Exhibition on Geographical Information, 1996, Barcelona, Spain.

PCRaster online course materials

Marra, W., Karssenberg, D. 2018. PCRaster distance learning course material: Data Pre-Processing with GDAL. 10 pp.

Karssenberg, D., 2015, PCRaster distance learning course material: An introduction to dynamic modelling. Appr. 50 pp, Utrecht University.

Karssenberg, D., 2015, PCRaster distance learning course material: Map algebra and environmental modelling. Appr. 50 pp., Utrecht University.

Karssenberg, D. and de Jong, K., 2015, PCRaster distance learning course material: Stochastic environmental modelling. Appr. 20 pp.

Schmitz, O., Karssenberg, D. and de Vries, L.M., 2009, Framework for spatio-temporal stochastic modelling, data assimilation and model calibration, appr. 40 pp.

Schmitz, O. and Karssenberg, D., 2008, An introduction to groundwater and surfacewater modelling.

Karssenberg, D., Pebesma, E.J., van der Meer, M. and Burrough, P.A., 2003, PCRaster en Gstat distance learning course material: An introduction to interpolation and geostatistical Modelling. Appr. 30 pp., Utrecht University.

Karssenberg, D., Wesseling, C.G. and van Deursen, W.P.A., 2003, PCRaster, manual, Utrecht: Utrecht University.

Sluiter, R., Burrough, P.A., Karssenberg, D., Lucieer, A., Wesseling, C.G., de Jong, K., van Asch, T.W.J., van Steijn, H., Cadee, M., de Boer, R.J., van Deursen, W.P.A. and Hendriks, M.R., 2000, Virtual Landscapes, interactive models for learning about geographical change. Appr. 50 pp. Utrecht University.