Publications
2022
Scholarly publications
Jong, K. D., Panja, D., Karssenberg, D., & Kreveld, M. V. (2022).
Scalability and composability of flow accumulation algorithms based on asynchronous many-tasks.
Computers & Geosciences,
162, 1-12. [105083].
https://doi.org/10.1016/j.cageo.2022.105083 2021
Scholarly publications
Jong, K. D., Kreveld, M. V., Panja, D., Schmitz, O., & Karssenberg, D. (2021).
Global scale hydrological modelling at 100 m, 1 h resolution, in Python.
https://doi.org/10.5194/egusphere-egu21-7154 de Jong, K., Panja, D., van Kreveld, M., & Karssenberg, D. (2021).
An environmental modelling framework based on asynchronous many-tasks: Scalability and usability.
Environmental Modelling and Software,
139, [104998].
https://doi.org/10.1016/j.envsoft.2021.104998 2020
Scholarly publications
2019
Scholarly publications
2018
Scholarly publications
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 2017
Scholarly publications
Sutanudjaja, E. H., Beek, R. V., Wanders, N., Wada, Y., Bosmans, J. H. C., Drost, N., Ent, R. J. V. D., Graaf, I. E. M. D.
, Hoch, J. M., Jong, K. D., Karssenberg, D., López, P. L., Peßenteiner, S., Schmitz, O., Straatsma, M. W., Vannametee, E., Wisser, D., & Bierkens, M. F. P. (2017, Dec 12).
PCR-GLOBWB 2: a 5 arc-minute global hydrological and water resources model.
https://doi.org/10.5194/gmd-2017-288 de Bakker, M. P., de Jong, K., Schmitz, O., & Karssenberg, D. J. (2017).
Design and demonstration of a data model to integrate agent-based and field-based modelling.
Environmental Modelling and Software,
89, 172-189.
https://doi.org/10.1016/j.envsoft.2016.11.016 Other output
Schmitz, O., de Jong, K., & Karssenberg, D. J. (2017). Improving the scalability of an environmental modelling framework to allow for large-scale high-resolution geosimulations. Abstract from 20th AGILE conference 2017, Wageningen.
Schmitz, O., de Jong, K., & Karssenberg, D. J. (2017). Scalable geocomputation: evolving an environmental model building platform from single-core to supercomputers. Abstract from EGU General Assembly 2017, Vienna, Austria.
2016
Other output
Schmitz, O., Karssenberg, D. J., de Jong, K., & de Raaff, W. H. (2016). An environmental modelling and information service for health analytics.
2015
Scholarly publications
De Jong, K., Vonk, J. M., Van Der Plaat, D. A., Van Diemen, C. C.
, Kromhout, H., Vermeulen, R., Van Duijn, C. M., Postma, D. S., & Boezen, H. M. (2015).
Novel genes associated with the level of FEV1 in never-smokers in the context of occupational exposure.
European Respiratory Journal,
46.
https://doi.org/10.1183/13993003.congress-2015.OA1456 Other output
Schmitz, O., de Kok, J. L., de Jong, K., & Karssenberg, D. J. (2015). A framework for integrated, multi-scale model construction and uncertainty assessment.. EGU2015-9018.
de Bakker, M. P., Karssenberg, D. J., & de Jong, K. (2015). Integrating Field-based and Agent-based modelling. Conference On Spatial Information Theory, Santa Fe, United States.
2014
Scholarly publications
De Jong, K., De Bakker, M., & Karssenberg, D. (2014).
An environmental modeling language for agents and fields. In
Proceedings - 7th International Congress on Environmental Modelling and Software: Bold Visions for Environmental Modeling, iEMSs 2014 International Environmental Modelling and Software Society (iEMSs).
https://scholarsarchive.byu.edu/iemssconference/2014/Stream-D/4/ Other output
Schmitz, O., Karssenberg, D. J., de Jong, K., de Kok, J. L.
, & de Jong, S. M. (2014).
Development of an integrated modelling framework: comparing client-server and demand-driven control flow for model execution.
Geophysical Research Abstracts,
16(EGU2014-12863).
https://dspace.library.uu.nl/bitstream/handle/1874/310239/EGU2014_12863.pdf?sequence=1 2013
Scholarly publications
Drost, N., Sutanudjaja, E. H., Hut, R., Steele-Dunne, S. C.
, de Jong, K., van Beek, L. P. H., Karssenberg, D. J., Bierkens, M. F. P., & van de Giesen, N. (2013).
eWaterCycle: Developing a hyper resolution global hydrological model. In
Geophysical Abstracts H23E-1308 https://dspace.library.uu.nl/bitstream/handle/1874/385400/EGU2013_3337_1.pdf?sequence=1 Other output
Sutanudjaja, E. H., Hut, R.
, Drost, N., Steele-Dunne, S. C.
, de Jong, K., van Beek, L. P. H., Karssenberg, D. J., van de Giesen, N.
, & Bierkens, M. F. P. (2013).
eWaterCycle: Developing a hyper resolution global hydrological model.
Geophysical Research Abstracts,
15(EGU2013-3337).
http://adsabs.harvard.edu/abs/2013EGUGA..15.3337S Cockx, K., van de Voorde, T., Canters, F., Poelmans, L., Uljee, I., Engelen, G., de Jong, K., Karssenberg, D. J., & van der Kwast, J. (2013). Incorporating land-use mapping uncertainty in remote sensing based calibration of land-use change models. Abstract from 8th International Symposium on Spatial Data Quality, Hong Kong.
Karssenberg, D. J., Drost, N., Schmitz, O., de Jong, K., & Bierkens, M. F. P. (2013). Large scale stochastic spatio-temporal modelling with PCRaster. Geophysical Research Abstracts, 15(EGU2013-10337).
2012
Scholarly publications
van der Kwast, J., van de Voorde, T.
, de Jong, K., Uljee, I.
, Karssenberg, D. J., Canters, F., Engelen, G., & Poelmans, L. (2012).
Uncertainty analysis and data-assimilation of remote sensing data for the calibration of cellular automata based land-use models. In Seppelt, R., Voinov, A. A., Lange, S. & Bankamp, D. (Ed.),
International Congress on Environmental Modelling and Software Managing Resources of a Limited Planet, Sixth Biennial Meeting http://www.iemss.org/sites/iemss2012/https://dspace.library.uu.nl/bitstream/handle/1874/385402/Uncertainty_analysis_and_data_assimilation_of_remote_sensing_data.pdf?sequence=1 van der Perk, M., Karssenberg, D. J., & de Jong, K. (2012). Towards a European-scale water quality model; Application of the PCRaster accutraveltimefractionflux operator family for nutrient transport modelling in the LISQUAL model. (Contract No. CCR.IES.P2011018408 KARS ed.) Faculty of Geosciences, Department of Physical Geography, Utrecht University.
2011
Scholarly publications
van der Kwast, J., Canters, F.
, Karssenberg, D. J., Engelen, G., Van de Voorde, T., Uljee, I.
, & de Jong, K. (2011).
Remote sensing data assimilation in modeling urban dynamics: Objectives and methodology.
Procedia Environmental Sciences,
7, 140-145.
https://doi.org/10.1016/j.proenv.2011.07.025 Other output
Schmitz, O., Karssenberg, D. J., de Jong, K., & de Kok, J. L. (2011). Constructing integrated models: a scheduler to execute coupled components. Geophysical Research Abstracts, 13(EGU2011-?).
2010
Scholarly publications
Karssenberg, D. J., 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 and Software,
25, 489-502.
https://doi.org/10.1016/j.envsoft.2009.10.004 Other output
Schmitz, O. (Author), Karssenberg, D. J. (Author), Wesseling, C. G. (Author), & de Jong, K. (Author). (2010). PCRaster Python framework for spatio-temporal modelling. Software
2008
Scholarly publications
Karssenberg, D. J., Schmitz, O., de Vries, L. M., & de Jong, K. (2008).
A tool for construction of stochastic spatio-temporal models assimilated with observational data. In L. Bernard, A. Friss-Christensen, H. Pundt and I. Compte (Ed.),
11th AGILE International Conference on Geographic Information Science https://dspace.library.uu.nl/bitstream/handle/1874/382219/98_doc.pdf?sequence=1 Other output
Karssenberg, D. J., de Jong, K., & Schmitz, O. (2008). A software environment for stochastic spatio-temporal modelling. Geophysical Research Abstracts, 10(EGU2008-?).
2007
Scholarly publications
Pebesma, E. J., de Jong, K., & Briggs, D. (2007).
Interactive visualization of uncertain spatial and spatio-temporal data under different scenarios: An air quality example.
International Journal of Geographical Information Science,
21(5), 515-527.
https://doi.org/10.1080/13658810601064009 Karssenberg, D. J., 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 Thonon, I., de Jong, K., van der Perk, M., & Middelkoop, H. (2007). Modelling floodplain sedimentation using particle tracking. Hydrological Processes, 21(11), 1402-1412.
Pebesma, E. J., de Jong, K., & Briggs, D. J. (2007). Visualising uncertain spatial and spatio-temporal data under different scenarios: an air quality example. International Journal of Geographical Information Science, 21, 515-527.
Ettema, D. F., de Jong, K., Timmermans, H., & Bakema, A. (2007). PUMA: Multi-Agent Modelling of Urban Systems. In E. Koomen, A. Bakema, J. Stillwell, & H. Scholten (Eds.), Land Use Modelling (pp. 237-258). Springer.
2006
Scholarly publications
2005
Scholarly publications
Karssenberg, D. J., & 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 Ettema, D. F., de Jong, K., Timmermans, H., & Bakema, A. (2005). PUMA: multi-agent modelling of urban systems. In E. Koomen, A. Bakema, J. Stillwell, & H. Scholten (Eds.), Land use modeling Springer.
Karssenberg, D. J., & 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 Ettema, D. F., & de Jong, K. (2005). PUMA (Predicting Urbanisation with Multi Agents). Theoretical considerations and operational model. URU.
Other output
Thonon, I., van der Perk, M., Middelkoop, H., & de Jong, K. (2005). How does a secondary channel affect deposition of contaminated sediment on floodplains? The Afferdensche and Deetsche Waarden as a case study. 36-37. Abstract from Netherlands Scientific Symposium Soil & Water, Zeist.
2004
Scholarly publications
Verburg, P. H., de Nijs, A. C. M., Ritsema van Eck, J. R., Visser, H., & de Jong, K. (2004). A method to analyse neighbourhood characteristics of land use patterns. Computers, Environment and Urban Systems, 28, 667-690.
Thonon, I., de Jong, K., van der Perk, M., & Middelkoop, H. (2004). A particle tracking method to simulate sediment transfer over flood plains. In V. Golosov, V. Belyaev, & D. E. Walling (Eds.), Sediment Transfer through the fluvial system - prepublished proceedings of the Moscow Symposium (pp. 404-409). IAHS.
Professional publications
Borsboom-van Beurden, J. A. M.
, de Jong, K., de Niet, R.
, de Nijs, A. C. M., Hagen, A.
, Klein Goldewijk, C. G. M., Verburg, P., & Visser, H. (2004).
De MAP COMPARISON KIT: methoden, software en toepassingen. (RIVM rapport ed.) RIVM.
http://www.rivm.nl/bibliotheek/rapporten/550002005.html2003
Scholarly publications
Thonon, I., de Jong, K., van der Perk, M., & Middelkoop, H. (2003). Modelling sediment dispersion over floodplains using a particle tracking method. In N. Douben, & A. G. van Os (Eds.), NCR days 2003 - Dealing with floods within constraints Netherlands Centre for River Studies.
Dijst, M. J., Schot, P. P., & de Jong, K. (2003). Framing land use dynamics: reviewed abstracts. Faculty of Geographical Sciences, Utrecht University.
2002
Scholarly publications
2001
Scholarly publications
de Jong, K., Karssenberg, D. J., Sluiter, R.
, & Burrough, P. A. (2001).
The 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 Other output
Karssenberg, D. J., Bridge, J. S., & de Jong, K. (2001). Modeling cycles of fluvial aggradation and degradation due to base-level change using a revised process-basied, 3D alluvial stratigraphy model. 149-149. Abstract from 7th International congress of fluvial sedimentology, USA.