Research publications are also here or refer to the last part of the CV available in the CV item of this profile page.
Publicaties
2024
Wetenschappelijke publicaties
Ndiaye, A., Shen, Y., Kyriakou, K., Karssenberg, D., Schmitz, O., Flückiger, B., Hoogh, K. D., & Hoek, G. (2024). Hourly land-use regression modeling for NO2 and PM2.5 in the Netherlands. Environmental Research, 256, Article 119233. https://doi.org/10.1016/j.envres.2024.119233
Shen, Y., de Hoogh, K., Schmitz, O., Clinton, N., Tuxen-Bettman, K., Brandt, J., Christensen, J. H., Frohn, L. M., Geels, C., Karssenberg, D., Vermeulen, R., & Hoek, G. (2024). Monthly average air pollution models using geographically weighted regression in Europe from 2000 to 2019. Science of the Total Environment, 918, 1-16. Article 170550. https://doi.org/10.1016/j.scitotenv.2024.170550
https://dspace.library.uu.nl/bitstream/handle/1874/435909/1-s2.0-S0048969724006879-main.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/435909/1-s2.0-S0048969724006879-main.pdf?sequence=1
2023
Wetenschappelijke publicaties
Jong, K. D., & Karssenberg, D. (2023). The LUE software framework: develop scalable global hydrological models without having to think about high-performance computing. https://doi.org/10.5194/egusphere-egu23-7717
Magni, M., Sutanudjaja, E., Shen, Y., & Karssenberg, D. (2023). Global streamflow modelling using process-informed machine learning. Journal of Hydroinformatics, 25(5), 1648-1666. https://doi.org/10.2166/hydro.2023.217
https://dspace.library.uu.nl/bitstream/handle/1874/432506/jh0251648.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/432506/jh0251648.pdf?sequence=1
Shen, Y., de Hoogh, K., Schmitz, O., Clinton, N., Tuxen-Bettman, K., Brandt, J., Christensen, J. H., Frohn, L. M., Geels, C., Karssenberg, D., Vermeulen, R., & Hoek, G. (2023). Corrigendum to “Europe-wide air pollution modeling from 2000 to 2019 using geographically weighted regression” [Environ. Int. 168 (2022) 107485](S0160412022004123)(10.1016/j.envint.2022.107485). Environment International, 178, Article 108111. https://doi.org/10.1016/j.envint.2023.108111
Bijlmakers, J., Griffioen, J., & Karssenberg, D. (2023). Environmental drivers of spatio-temporal dynamics in floodplain vegetation: grasslands as habitat for megafauna in Bardia National Park (Nepal). Biogeosciences, 20(6), 1113-1144. https://doi.org/10.5194/bg-20-1113-2023
2022
Wetenschappelijke publicaties
Shen, Y., de Hoogh, K., Schmitz, O., Clinton, N., Tuxen-Bettman, K., Brandt, J., Christensen, J. H., Frohn, L. M., Geels, C., Karssenberg, D., Vermeulen, R., & Hoek, G. (2022). Europe-wide air pollution modeling from 2000 to 2019 using geographically weighted regression. Environment international, 168, 1-12. Article 107485. https://doi.org/10.1016/j.envint.2022.107485
Lu, M., Schmitz, O., de Hoogh, K., Hoek, G., Li, Q., & Karssenberg, D. (2022). Integrating statistical and agent-based modelling for activity-based ambient air pollution exposure assessment. Environmental Modelling and Software, 158, 1-9. Article 105555. https://doi.org/10.1016/j.envsoft.2022.105555
Lam, TM., Wang, Z., Vaartjes, I., Karssenberg, D., Ettema, D., Helbich, M., Timmermans, E., Frank, L., Den Braver, N., Wagtendonk, A., Beulens, JWJ., & Lakerveld, J. (2022). Development of an objectively measured walkability index for the Netherlands. International Journal of Behavioral Nutrition and Physical Activity, 19(1), 1-16. Article 50. https://doi.org/10.1186/s12966-022-01270-8
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. Article 105083. https://doi.org/10.1016/j.cageo.2022.105083
Ntarladima, A. M., Karssenberg, D., Poelman, M., Grobbee, D. E., Lu, M., Schmitz, O., Strak, M., Janssen, N., Hoek, G., & Vaartjes, I. (2022). Associations between the fast-food environment and diabetes prevalence in the Netherlands: a cross-sectional study. The Lancet Planetary Health, 6(1), e29-e39. https://doi.org/10.1016/S2542-5196(21)00298-9
2021
Wetenschappelijke publicaties
Ruijsch, J., Verstegen, J. A., Sutanudjaja, E. H., & Karssenberg, D. (2021). Systemic change in the Rhine-Meuse basin: Quantifying and explaining parameters trends in the PCR-GLOBWB global hydrological model. Advances in Water Resources, 155, 1-15. Article 104013. https://doi.org/10.1016/j.advwatres.2021.104013
Ntarladima, A. M., Karssenberg, D., Vaartjes, I., Grobbee, D. E., Schmitz, O., Lu, M., Boer, J., Koppelman, G., Vonk, J., Vermeulen, R., Hoek, G., & Gehring, U. (2021). A comparison of associations with childhood lung function between air pollution exposure assessment methods with and without accounting for time-activity patterns. Environmental Research, 202, 1-10. Article 111710. https://doi.org/10.1016/j.envres.2021.111710
Lu, M., Dai, R., de Boer, C., Schmitz, O., Kooter, I., Cristescu, S., & Karssenberg, D. (2021). External validation for statistical NO2 modelling: A study case using a high-end mobile sensing instrument. Atmospheric Pollution Research, 12(11), 1-11. Article 101205. https://doi.org/10.1016/j.apr.2021.101205
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, Article 104998. https://doi.org/10.1016/j.envsoft.2021.104998
Duden, A. S., Verweij, P. A., Kraak, Y. V., van Beek, L. P. H., Wanders, N., Karssenberg, D. J., Sutanudjaja, E. H., & van der Hilst, F. (2021). Hydrological impacts of ethanol-driven sugarcane expansion in Brazil. Journal of Environmental Management, 282, Article 111942. https://doi.org/10.1016/j.jenvman.2021.111942
2020
Wetenschappelijke publicaties
Lakerveld, J., Wagtendonk, A., Vaartjes, I., Karssenberg, D., Penninx, B., Beulens, J., Timmermans, E., Huisman, M., Kramer, S., van Wier, M., Boomsma, D., Willemsen, G., Schuengel, C., Oosterman, M., Stronks, K., Vermeulen, R., Koster, A., Stehouwer, C., van den Hurk, K., ... Dotinga, A. (2020). Deep phenotyping meets big data: the Geoscience and hEalth Cohort COnsortium (GECCO) data to enable exposome studies in The Netherlands. International Journal of Health Geographics, 19(1), 1-16. Article 49 . https://doi.org/10.1186/s12942-020-00235-z
Jong, K. D., Karssenberg, D., Panja, D., & Kreveld, M. V. (2020, Mar 23). Towards a scalable framework for earth science simulation models, using asynchronous many-tasks. EGU. https://doi.org/10.5194/egusphere-egu2020-18749
Schmitz, O., Jong, K. D., & Karssenberg, D. (2020, Mar 23). Integrated field-agent based modelling using the LUE scientific data base. EGU. https://doi.org/10.5194/egusphere-egu2020-8583
Lu, M., Schmitz, O., de Hoogh, K., Kai, Q., & Karssenberg, D. (2020). Evaluation of different methods and data sources to optimise modelling of NO2 at a global scale. Environment international, 142, Article 105856. https://doi.org/10.1016/j.envint.2020.105856
Loozen, Y., Rebel, K. T., de Jong, S. M., Lu, M., Ollinger, S. V., Wassen, M. J., & Karssenberg, D. (2020). Mapping canopy nitrogen in European forests using remote sensing and environmental variables with the random forests method. Remote Sensing of Environment, 247, Article 111933. https://doi.org/10.1016/j.rse.2020.111933
Watson, L., Straatsma, M. W., Wanders, N., Verstegen, J. A., De Jong, S. M., & Karssenberg, D. (2020). Global ecosystem service values in climate class transitions. Environmental Research Letters, 15(2), Article 024008. https://doi.org/10.1088/1748-9326/ab5aab
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, 161, 76-89. https://doi.org/10.1016/j.isprsjprs.2020.01.014
Soenario, I., Lu, M., Helbich, M., Schmitz, O., Hoek, G., van de Molen, M., & Karssenberg, D. (2020). Land use regression models revealing spatiotemporal co-variation in NO2, NO, and O3 in the Netherlands. Atmospheric Environment, 223, Article 117238. https://doi.org/10.1016/j.atmosenv.2019.117238
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 and Software, 124, Article 104578. https://doi.org/10.1016/j.envsoft.2019.104578
Scheider, S., Wang, J., Mol, M., Schmitz, O., & Karssenberg, D. J. (2020). Obfuscating spatial point tracks with simulated crowding. International Journal of Geographical Information Science, 34(7), 1398-1427. https://doi.org/10.1080/13658816.2020.1712402
2019
Wetenschappelijke publicaties
Lu, M., Schmitz, O., Vaartjes, I., & Karssenberg, D. (2019). Activity-based air pollution exposure assessment: Differences between homemakers and cycling commuters. Health and Place, 60, Article 102233. https://doi.org/10.1016/j.healthplace.2019.102233
de Jong, K., & Karssenberg, D. (2019). A physical data model for spatio-temporal objects. Environmental Modelling and Software, 122, Article 104553. https://doi.org/10.1016/j.envsoft.2019.104553
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: A Global Access Science Source, 18(1), Article 50. https://doi.org/10.1186/s12940-019-0487-1
Schmitz, O., Beelen, R., Strak, M., Hoek, G., Soenario, I., Brunekreef, B., Vaartjes, I., Dijst, M. J., Grobbee, D. E., & Karssenberg, D. (2019). Data descriptor: High resolution annual average air pollution concentration maps for the Netherlands. Scientific data, 6, Article 190035. https://doi.org/10.1038/sdata.2019.35
Loozen, Y., Karssenberg, D., de Jong, S. M., Wang, 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
Overige resultaten
Loozen, Y. M. A., Karssenberg, D. J., Wassen, M. J., de Jong, S. M., & Rebel, K. T. (2019). Mapping canopy N in European forests using remote sensing and environmental variables. Geophysical Research Abstracts, 21, Article EGU2019-13622. https://meetingorganizer.copernicus.org/EGU2019/EGU2019-13622.pdf
2018
Wetenschappelijke publicaties
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
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, MP., Strak, M., Schmitz, O., Hoek, G., Karssenberg, D., Helbich, M., Ntarladima, A. M., Bots, M. L., 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(13), 1397-1405. https://doi.org/10.1177/2047487318769458
Overige resultaten
Loozen, Y. M. A., Rebel, K. T., Karssenberg, D. J., Wassen, M. J., Wang, S., van Dijk, J., Sardans, J., Penuelas, J., & de Jong, S. M. (2018). Sensing nitrogen and phosphorous concentrations in vegetation across different scales. Geophysical Research Abstracts, 20, Article EGU2018-15205. https://meetingorganizer.copernicus.org/EGU2018/EGU2018-15205.pdf
https://dspace.library.uu.nl/bitstream/handle/1874/364261/Sensing.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/364261/Sensing.pdf?sequence=1
2017
Wetenschappelijke publicaties
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
Karssenberg, D., Bierkens, M. F. P., & Rietkerk, M. (2017). Catastrophic Shifts in Semiarid Vegetation-Soil Systems May Unfold Rapidly or Slowly. American Naturalist, 190(6), E145-E155. https://doi.org/10.1086/694413
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 and Software, 97, 287-302. https://doi.org/10.1016/j.envsoft.2017.08.006
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, 11(6), 1007-1029. https://doi.org/10.1002/bbb.1803
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. Environmental International, 108, 228-236. https://doi.org/10.1016/j.envint.2017.08.017
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
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
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
Overige resultaten
Häring, T., Jene, B., Schmitz, O., van der Perk, M., & Karssenberg, D. J. (2017). GEORGE - A new, spatially distributed pesticide leaching model using the PyCatch modelling framework.. Poster session presented at 7th International Conference on Pesticide Behaviour in Soils, Water and Air, York, United Kingdom.
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., van der Perk, M., Karssenberg, D. J., Häring, T., & Jene, B. (2017). Spatially distributed modelling of pesticide leaching at European scale with the PyCatch modelling framework. Abstract from EGU General Assembly 2017, Vienna, Austria.
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
Wetenschappelijke publicaties
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, 30(8), 1552-1578. https://doi.org/10.1080/13658816.2016.1142547
Schmitz, O., de Kok, J. L., & 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 and Software, 75, 424-438. https://doi.org/10.1016/j.envsoft.2015.02.013
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 [E], 8(3), 561-578. https://doi.org/10.1111/gcbb.12270
Overige resultaten
Marra, W. A., Groothengel, M. C., van de Grint, E. J. M., & Karssenberg, D. J. (2016). Excursies zelfstandig en offline (met online meerwaarde) met digitale kaarten en lesmateriaal zonder netwerk verbinding.
Marra, W. A., Alberti, K., van de Grint, E. J. M., & Karssenberg, D. J. (2016). Improving fieldwork by using GIS for quantitative exploration, data management and digital mapping. EGU2016-7033. Abstract from EGU 2016, Vienna, Austria.
https://dspace.library.uu.nl/bitstream/handle/1874/345711/GIS.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/345711/GIS.pdf?sequence=1
Alberti, K., Marra, W. A., Baarsma, R. J., & Karssenberg, D. J. (2016). Fieldwork online: a GIS-based electronic learning environment for supervising fieldwork. EGU2016-11648. Abstract from EGU 2016, Vienna, Austria.
https://dspace.library.uu.nl/bitstream/handle/1874/345710/Fieldwork.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/345710/Fieldwork.pdf?sequence=1
Baarsma, R. J., Alberti, K., Marra, W. A., & Karssenberg, D. J. (2016). Open source large-scale high-resolution environmental modelling with GEMS. Abstract from EGU 2016, Vienna, Austria.
https://dspace.library.uu.nl/bitstream/handle/1874/345709/source.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/345709/source.pdf?sequence=1
Rebel, K. T., Braakhekke, M. C., Loozen, Y. M. A., Karssenberg, D. J., de Jong, S. M., Penuelas, J., & Dekker, S. C. (2016). Carbon and Nitrogen interactions at the global scale. Poster session presented at ClimMani 3rd annual meeting 2016 Experiments designed by nature - the use of gradients in climate change research.
Baarsma, R. J., Schmitz, O., & Karssenberg, D. J. (2016). A backtracking algorithm that deals with particle filter degeneracy. EGU2016-7953. Abstract from EGU 2016, Vienna, Austria.
https://dspace.library.uu.nl/bitstream/handle/1874/345706/backtracking.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/345706/backtracking.pdf?sequence=1
Schmitz, O., Soenario, I., Vaartjes, C. H., Strak, M. M., Hoek, G., Brunekreef, B., Dijst, M. J., & Karssenberg, D. J. (2016). Evaluating methods for estimating space-time paths of individuals in calculating long-term personal exposure to air pollution.. EGU2016-12150.
https://dspace.library.uu.nl/bitstream/handle/1874/345114/EGU2016_12150.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/345114/EGU2016_12150.pdf?sequence=1
Schmitz, O., Karssenberg, D. J., de Jong, K., & de Raaff, W. H. (2016). An environmental modelling and information service for health analytics.
Loozen, Y. M. A., Rebel, K. T., Karssenberg, D. J., Wassen, M. J., & de Jong, S. M. (2016). Regional detection of canopy nitrogen in Mediterranean forests using spaceborne MTCI. Poster session presented at Sustainability Conference Utrecht University 2016, Utrecht, Netherlands. https://zenodo.org/record/218734
Loozen, Y. M. A., Rebel, K. T., Karssenberg, D. J., Wassen, M. J., & de Jong, S. M. (2016). Remote sensing of canopy nitrogen in Catalonian forests. Abstract from EGU 2016, Vienna, Austria. http://meetingorganizer.copernicus.org/EGU2016/EGU2016-7957.pdf
Loozen, Y. M. A., Rebel, K. T., Karssenberg, D. J., de Jong, S. M., & Wassen, M. J. (2016). Remote sensing of canopy nitrogen in Mediterranean forests. Poster session presented at Netherlands Annual Ecology Meeting 2016 (NAEM), Lunteren, Netherlands.
https://dspace.library.uu.nl/bitstream/handle/1874/344170/NAEM_2016_potrait_poster.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/344170/NAEM_2016_potrait_poster.pdf?sequence=1
Loozen, Y. M. A., Rebel, K. T., Karssenberg, D. J., de Jong, S. M., & Wassen, M. J. (2016). Remote sensing of canopy N in north-eastern Spain. Poster session presented at Netherlands Annual Ecology Meeting 2016 (NAEM), Lunteren, Netherlands.
de Bakker, M. P., de Jong, K., Schmitz, O., & Karssenberg, D. J. (2016). A conceptual data model and modelling language for fields and agents. Poster session presented at EGU 2016, Vienna, Austria.
https://dspace.library.uu.nl/bitstream/handle/1874/331174/EGU2016_8485_presentation.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/331174/EGU2016_8485_presentation.pdf?sequence=1
de Jong, K., Schmitz, O., & Karssenberg, D. J. (2016). Generic algorithms for high performance scalable geocomputing. Abstract from EGU 2016, Vienna, Austria.
https://dspace.library.uu.nl/bitstream/handle/1874/330920/EGU2016_8048.pdf?sequence=2
https://dspace.library.uu.nl/bitstream/handle/1874/330920/EGU2016_8048.pdf?sequence=2
de Jong, K., de Bakker, M. P., & Karssenberg, D. J. (2016). A physical data model for fields and agents. Poster session presented at EGU 2016, Vienna, Austria.
https://dspace.library.uu.nl/bitstream/handle/1874/330919/EGU2016_7721.pdf?sequence=2
https://dspace.library.uu.nl/bitstream/handle/1874/330919/EGU2016_7721.pdf?sequence=2
2015
Wetenschappelijke publicaties
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., ... Faaij, A. P. C. (2015). Model collaboration for the improved assessment of biomass supply, demand, and impacts. GCB Bioenergy [E], 7(3), 422-437. https://doi.org/10.1111/gcbb.12176
Overige resultaten
Marra, W. A., Alberti, K., & Karssenberg, D. J. (2015). Enhancing fieldwork learning using blended learning, GIS and remote supervision. Abstract from EGU 2015, United Kingdom.
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.
Schmitz, O., Beelen, R. M. J., de Bakker, M. P., & Karssenberg, D. J. (2015). Evaluating the effect of human activity patterns on air pollution exposure using an integrated field-based and agent-based modelling framework.. EGU2015-8938.
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.
Verstegen, J. A., van der Hilst, F., & Karssenberg, D. J. (2015). A framework to assess model structure stationarity. 42-45. Abstract from the 13th International Conference of GeoComputation, Dallas, United States.
https://dspace.library.uu.nl/bitstream/handle/1874/355266/framework.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/355266/framework.pdf?sequence=1
2014
Wetenschappelijke publicaties
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/
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
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
Wanders, N., Bierkens, M. P. F., 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 models. Water Resources Research, 50(8), 6874-6891. https://doi.org/10.1002/2013WR014639
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, 50(7), 5980-6001. https://doi.org/10.1002/2013WR014955
Schmitz, O., Salvadore, E., Poelmans, L., van der Kwast, J., & Karssenberg, D. J. (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
Verstegen, J. A., Karssenberg, D. J., van der Hilst, F., & Faaij, A. (2014). Identifying a land use change cellular automaton by Bayesian data assimilation. Environmental Modelling and Software, 53, 121-136. https://doi.org/10.1016/j.envsoft.2013.11.009
https://dspace.library.uu.nl/bitstream/handle/1874/310270/1_s2.0_S1364.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/310270/1_s2.0_S1364.pdf?sequence=1
Overige resultaten
Abels, H. A., Wang, C., Lauretano, V., Bowen, G. J., Karssenberg, D., Ziegler, M., Li, G., Van Den Berg, P. F., Van Broekhuizen, S., Hopman, T., Laks, J., Adriaens, R., Clyde, W. C., Elsen, J., Kraus, M. J., Sluijs, A., Vandenberghe, N., Lourens, L. J., & Gingerich, P. D. (2014). Terrestrial sedimentary archives of episodes of greenhouse warming in ancient river floodplain deposits of the Bighorn Basin, Wyoming. Rendiconti Online della Società Geologica Italiana, 31, 3-4. https://doi.org/10.3301/ROL.2014.16
Siteur, K., Eppinga, M., Karssenberg, D., Baudena, M., Bierkens, M., & Rietkerk, M. (2014). How will increases in rainfall intensity affect semiarid ecosystems?. Abstract from General Assembly European Geosciences Union, Vienna, United Kingdom.
Babel, L., Vannametee, E., Hendriks, M., Schuur, J., de Jong, S., Bierkens, M., & Karssenberg, D. (2014). Mapping geomorphology based on the information from existing geomorphological maps with a multiple-point geostatistics technique. Geophysical Research Abstracts, 16, Article EGU2014-12616. http://adsabs.harvard.edu/abs/2014EGUGA..1612616B
Verstegen, J., Karssenberg, D., van der Hilst, F., & Faaij, A. (2014). Systemic change increases model projection uncertainty. Geophysical Research Abstracts, 16, Article EGU2014-10454. http://adsabs.harvard.edu/abs/2014EGUGA..1610454V
https://dspace.library.uu.nl/bitstream/handle/1874/306435/10454.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/306435/10454.pdf?sequence=1
Verstegen, J., van der Hilst, F., Karssenberg, D., & Faaij, A. (2014). Integrated assessment of future land use in Brazil under increasing demand for bioenergy. Geophysical Research Abstracts, 16, Article EGU2014-11133. http://adsabs.harvard.edu/abs/2014EGUGA..1611133V
https://dspace.library.uu.nl/bitstream/handle/1874/306444/11133.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/306444/11133.pdf?sequence=1
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
https://dspace.library.uu.nl/bitstream/handle/1874/310239/EGU2014_12863.pdf?sequence=1
Schmitz, O., Straatsma, M. W., Karssenberg, D. J., & Bierkens, M. F. P. (2014). Stochastic optimisation of water allocation on a global scale. Geophysical Research Abstracts, 16(EGU2014-13189).
https://dspace.library.uu.nl/bitstream/handle/1874/310240/EGU2014_13189.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/310240/EGU2014_13189.pdf?sequence=1
2013
Wetenschappelijke publicaties
Wanders, N., Karssenberg, D., de Roo, A., de Jong, S. M., & Bierkens, M. F. P. (2013). The suitability of remotely sensed soil moisture for improving operational flood forecasting. Hydrology and Earth System Sciences Discussions, 10(11), 13783-13816. https://doi.org/10.5194/hessd-10-13783-2013
Lana-Renault, N., & Karssenberg, D. J. (2013). PyCatch: Component based hydrological catchment modelling. Cuadernos de Investigación Geográfica, 39(2), 315-333. https://doi.org/10.18172/cig.1993
https://dspace.library.uu.nl/bitstream/handle/1874/310216/1993_1883_1_PB.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/310216/1993_1883_1_PB.pdf?sequence=1
Wanders, N., Karssenberg, D. J., de Roo, A. P. J., de Jong, S. M., & Bierkens, M. F. P. (2013). The potential of remotely sensed soil moisture for operational flood forecasting. In Geophysical Abstracts H44E-08
Wanders, N., Karssenberg, D. J., de Roo, A. P. J., de Jong, S. M., & Bierkens, M. F. P. (2013). The benefits of using remotely sensed soil moisture in parameter identification of large-scale hydrological models. In Geophysical Abstracts H24E-04
Wanders, N., Karssenberg, D. J., de Roo, A. P. J., de Jong, S. M., & Bierkens, M. F. P. (2013). The PCR-GLOBWB global hydrological reanalysis product. In Geophysical Abstracts H33B-1352 American Geophysical Union. http://adsabs.harvard.edu/abs/2013AGUFM.H33B1352B
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. J., 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, 2981-3004. https://doi.org/10.5194/hess-17-2981-2013
https://dspace.library.uu.nl/bitstream/handle/1874/310269/hess_17_2981_2013.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/310269/hess_17_2981_2013.pdf?sequence=1
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
https://dspace.library.uu.nl/bitstream/handle/1874/385400/EGU2013_3337_1.pdf?sequence=1
de Jong, S. M., Hiemstra, P. H., Karssenberg, D. J., & Twenhöfel, P. (2013). Veilig leven met stralingsrisico’s. Geografie, 2013(5), 13-16.
https://dspace.library.uu.nl/bitstream/handle/1874/385361/Veilig_leven_met_stralingsrisico_s.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/385361/Veilig_leven_met_stralingsrisico_s.pdf?sequence=1
Soomers, H., Karssenberg, D. J., 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
Babel, L. V., & Karssenberg, D. J. (2013). Hydrological models are mediating models. Hydrology and Earth System Sciences, Discussion(10), 10535-10563. https://doi.org/10.5194/hessd-10-10535-2013
Schmitz, O., Karssenberg, D. J., de Jong, D., Kok, K., & de Jong, S. M. (2013). Map algebra and model algebra for integrated model building. Environmental Modelling and Software, 48, 113-128. https://doi.org/10.1016/j.envsoft.2013.06.009
Overige resultaten
Siteur, K., Eppinga, M. B., Karssenberg, D. J., Bierkens, M. F. P., & Rietkerk, M. (2013). How will increases in rainfall intensity affect bistable patterned ecosystems?. 74-75. Abstract from International research workshop of the Israel Science Foundation, Israel.
https://dspace.library.uu.nl/bitstream/handle/1874/314937/Abstracts_ecohyd_workshop_BGU.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/314937/Abstracts_ecohyd_workshop_BGU.pdf?sequence=1
van der Hilst, F., Verstegen, J. A., Karssenberg, D., & Faaij, A. (2013). Uncertainty assessment of future land use in Brazil under increasing demand for bioenergy. GC42A-02. Abstract from American Geophysical Union, Fall Meeting 2013, San Francisco, United States. http://adsabs.harvard.edu/abs/2013AGUFMGC42A..02V
Verstegen, J. A., Karssenberg, D., van der Hilst, F., & Faaij, A. (2013). Systemic change increases forecast uncertainty of land use change models. GC31B-1037. Abstract from American Geophysical Union, Fall Meeting 2013, San Francisco, United States. http://adsabs.harvard.edu/abs/2013AGUFMGC31B1037V
Wanders, N., Karssenberg, D., de Roo, A., de Jong, S., Bierkens, M. F., & de Jong, S. (2013). The potential of remotely sensed soil moisture for operational flood forecasting. H44E-08. Abstract from American Geophysical Union, Fall Meeting 2013, San Francisco, United States. http://adsabs.harvard.edu/abs/2013AGUFM.H44E..08W
Karssenberg, D., Wanders, N., de Roo, A., de Jong, S., Bierkens, M. F., & de Jong, S. (2013). The benefits of using remotely sensed soil moisture in parameter identification of large-scale hydrological models. H24E-04. Abstract from American Geophysical Union, Fall Meeting 2013, San Francisco, United States. http://adsabs.harvard.edu/abs/2013AGUFM.H24E..04K
Siteur, K., Eppinga, M., Karssenberg, D., Baudena, M., Bierkens, M., & Rietkerk, M. (2013). How will increases in rainfall intensity affect bistable patterned arid ecosystems?.
Wanders, N., Karssenberg, D. J., Bierkens, M. F. P., de Roo, A. P. J., & de Jong, S. M. (2013). The benefits of using remotely sensed soil moisture for large-scale hydrological modelling. Abstract from Satellite Soil Moisture validation & application workshop, Frascatti, Italy.
Straatsma, M. W., Droogers, P., Brandsma, J., Buytaert, W., Karssenberg, D. J., Meijer, K., van Aalst, M., van Beek, L. P. H., Wada, Y., & Bierkens, M. F. P. (2013). Water2Invest: Global facility for calculating investments needed to bridge the climate-induced water gap. Geophysical Research Abstracts, 15(EGU2013-10355). http://meetingorganizer.copernicus.org/EGU2013/EGU2013-10355.pdf
Wanders, N., Bierkens, M. F. P., de Jong, S. M., de Roo, A. P. J., & Karssenberg, D. J. (2013). The benefits of using remotely sensed soil moisture in parameter identification of large-scale hydrological models. Geophysical Research Abstracts, 15(EGU2013-10215).
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
Lana-Renault, N., Karssenberg, D. J., Pilar Serrano, M., & Bierkens, M. F. P. (2013). Assessing the relative effect of vegetation and soils on stream flow response in relation to vegetation recovery. Geophysical Research Abstracts, 15(EGU2013-5715).
https://dspace.library.uu.nl/bitstream/handle/1874/310217/EGU2013_5715.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/310217/EGU2013_5715.pdf?sequence=1
Alberti, K., de Jong, K., & Karssenberg, D. J. (2013). A web application for visualizing uncertainty in numerical ensemble models. Geophysical Research Abstracts, 15.
https://dspace.library.uu.nl/bitstream/handle/1874/301074/alberti_webapplication_2013.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/301074/alberti_webapplication_2013.pdf?sequence=1
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. (2013). Release van PCRaster, software package for spatio-temporal modelling. Software
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).
Karssenberg, D. J. (2013). The PCRaster modelling platform. Abstract from Dutch OSGeo.nl day, Delft.
Verstegen, J. A., Karssenberg, D. J., van der Hilst, F., & Faaij, A. P. C. (2013). Systemic change increases forecast uncertainty of land use change models. Poster session presented at AGU Fall Meeting 2013, San Francisco, California, United States.
2012
Wetenschappelijke publicaties
Youssef, F., Visser, S., Karssenberg, D. J., 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
Verstegen, J. A., Karssenberg, D. J., van der Hilst, F., & Faaij, A. P. C. (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
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
https://dspace.library.uu.nl/bitstream/handle/1874/385402/Uncertainty_analysis_and_data_assimilation_of_remote_sensing_data.pdf?sequence=1
Schmitz, O., Karssenberg, D. J., & de Kok, J. L. (2012). Towards integrated model building with semantically annotated components. In R. Seppelt, A. A. Voinov, S. Lange, and D. Bankamp (Ed.), International Environmental Modelling and Software Society (iEMSs)2012 International Congress on Environmental Modelling and SoftwareManaging Resources of a Limited Planet: Pathways and Visions under Uncertainty, Sixth Biennial Meeting http://www.iemss.org/society/index.php/iemss-2012-proceedings
https://dspace.library.uu.nl/bitstream/handle/1874/382218/Towards_integrated_model_building_with_semantically_annotated_com.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/382218/Towards_integrated_model_building_with_semantically_annotated_com.pdf?sequence=1
Lana-Renault, N., Latron, J., Karssenberg, D. J., Serrano, P., Regues, D., & Bierkens, M. F. P. (2012). Seasonal differences in runoff between forested and non-forested catchments: a case study in the Spanish Pyrenees. Revisiting Experimental Catchment Studies in Forest Hydrology. In Revisiting Experimental Catchment Studies in Forest Hydrology (pp. 58-63). (IAHS Publications; Vol. 353). International Association of Hydrological Sciences. http://karssenberg.geo.uu.nl/_static/lana-renault2012.pdf
https://dspace.library.uu.nl/bitstream/handle/1874/385401/lana_renault2012.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/385401/lana_renault2012.pdf?sequence=1
Karssenberg, D. J., Vannametee, E., Babel, L. C., Schuur, J., Hendriks, M. R., & Bierkens, M. F. P. (2012). Multiple Point Geostatistics for automated landform mapping. In American Geophysical Union, 2012, General Assembly
Hiemstra, P. H., Karssenberg, D. J., 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
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.
Vannametee, E., Karssenberg, D. J., & 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
van der Hilst, F., Verstegen, J. A., Karssenberg, D. J., & Faaij, A. P. C. (2012). Spatiotemporal land use modelling to assess land availability for energy crops – illustrated for Mozambique. GCB Bioenergy [E], 4(6), 859-874. https://doi.org/10.1111/j.1757-1707.2011.01147.x
Karssenberg, D. J., & Bierkens, M. F. P. (2012). Early-warning signals (potentially) reduce uncertainty in forecasted timing of critical shifts. Ecosphere, 3(2). https://doi.org/10.1890/ES11-00293.1
Wanders, N., Karssenberg, D. J., Bierkens, M. F. P., Parinussa, R. M., de Jeu, R. A. M., van Dam, J. C., & de Jong, S. M. (2012). Observation uncertainty of satellite soil moisture products determined with physically-based modelling. Remote Sensing of Environment, 127, 341-356. https://doi.org/10.1016/j.rse.2012.09.004
Youssef, F., Visser, S., Karssenberg, D. J., 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
Overige resultaten
Wanders, N., Karssenberg, D., Bierkens, M. F. P., Van Dam, J. C., & De Jong, S. M. (2012). Using high-resolution soil moisture modelling to assess the uncertainty of microwave remotely sensed soil moisture products at the correct spatial and temporal support. Geophysical Research Abstracts, 14, Article EGU2012-5338. http://adsabs.harvard.edu/abs/2012EGUGA..14.5338W
Verstegen, J. A., & Karssenberg, D. J. (2012). Identifying transition rules in a cellular automaton by sequential assimilation of observations. 105-114. Abstract from Unknown event. http://www.camuss.dec.uc.pt/
Youssef, F., Visser, S., Karssenberg, D. J., Slingerland, E., Erpul, G., Ziadat, F., & Prof.dr.ir. Stroosnijder, L. (2012). Strategies for Measuring Wind Erosion for Regional Scale Modeling. Geophysical Research Abstracts, 14(EGU2012-278).
Vannametee, E., Babel, L. C., Karssenberg, D. J., Schuur, J., Hendriks, M. R., & Bierkens, M. F. P. (2012). Multiple Point Geostatistics for automated derivation of hydrologic response units in semi-distributed models. Abstract from Asia Oceania Geosciences Society (AOGS) Joint Assembly, Singapore.
Karssenberg, D. J., & Bierkens, M. F. P. (2012). Early-warning signals (potentially) reduce uncertainty in forecasted timing of critical shifts. Geophysical Research Abstracts, 14(EGU2012-4320).
Wanders, N., Karssenberg, D. J., Bierkens, M. F. P., van Dam, J. C., & de Jong, S. M. (2012). Using high-resolution soil moisture modelling to assess the uncertainty of microwave remotely sensed soil moisture products at the correct spatial and temporal support. Geophysical Research Abstracts, 14(EGU2012-5338).
de Jong, K., & Karssenberg, D. J. (2012). Block analyst, 3D software for manipulating 3D voxel attributes. Software http://pcraster.geo.uu.nl/projects/developments/block-analyst/
Karssenberg, D. J., Schmitz, O., & de Jong, K. (2012). Stochastic spatio-temporal modelling with PCRaster Python. Geophysical Research Abstracts, 14(EGU2012-4367). http://karssenberg.geo.uu.nl/_static/karssenberg2012.pdf
Vannametee, E., Babel, L. C., Karssenberg, D. J., Schuur, J., Hendriks, M. R., & Bierkens, M. F. P. (2012). Automated geomorphological mapping using Multiple Point Geostatistics. Geophysical Research Abstracts, 14(EGU2012-2765).
Wanders, N., Karssenberg, D. J., Bierkens, M. F. P., Parinussa, R. M., de Jeu, R. A. M., van Dam, J. C., & de Jong, S. M. (2012). Observation uncertainty of satellite soil moisture products determined with physically-based modelling. Geophysical Research Abstracts, 14(EGU2012-????).
2011
Wetenschappelijke publicaties
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, 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
Lana-Renault, N., Latron, J., Karssenberg, D. J., 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
van Asselen, S., Karssenberg, D., & Stouthamer, E. (2011). Contribution of peat compaction to relative sea-level rise within Holocene deltas. Geophysical Research Letters, 38(L2441), 1-5. Article 24401. https://doi.org/10.1029/2011GL049835
Arieira, J., Karssenberg, D. J., de Jong, S. M., Addink, E. A., Couto, E. G., Nunes Da Cunha, C., & Skoien, J. (2011). Integrating field sampling, spatial statistics and remote sensing to map wetland vegetation in the Pantanal, Brazil. Biogeosciences, 8(3), 667-686. https://doi.org/10.5194/bgd-7-6889-2010
https://dspace.library.uu.nl/bitstream/handle/1874/385366/bgd_7_6889_2010.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/385366/bgd_7_6889_2010.pdf?sequence=1
Lam, H. A., Karssenberg, D. J., van den Hurk, B. J. J. M., & Bierkens, M. F. P. (2011). Spatial and temporal connections in groundwater contribution to evaporation. Hydrology and Earth System Sciences, 15, 2621-2630. https://doi.org/10.5194/hess-15-2621-2011
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
Soomers, H., Karssenberg, D. J., Soons, M. B., Verweij, P. A., Verhoeven, J. T. A., & Wassen, M. J. (2011). Modelling dispersal of wetland plant seeds by wind and water. In NERN Netherlands Annual Ecology Meeting
Overige resultaten
Lana-Renault, N., Latron, J., Karssenberg, D. J., Serrano, M. P., Tregues, D., & Bierkens, M. F. P. (2011). Comparing the Streamflow Response of Two Sub-Mediterranean Mountain Catchments with Different Land Covers. Abstract from IUGG, Earth on the Edge: Science for a Sustainable Planet, Melbourne, Australia.
Wanders, N., Karssenberg, D. J., de Jong, S. M., & Bierkens, M. F. P. (2011). Evaluation of SMOS soil moisture level 2A products with modelled near-surface soil moisture patterns over Spain. Abstract from SMOS 2011 workshop, Arles, France.
Karssenberg, D. J., & Bierkens, M. F. P. (2011). Early-warning signals (potentially) reduce uncertainty in forecasted timing of critical shifts in vegetation systems. Geophysical Research Abstracts, 13(EGU2011-12257).
van der Kwast, J., Canters, F., Karssenberg, D. J., & Engelen, G. (2011). Remote sensing data assimilation in modeling urban dynamics. Abstract from 1st Conference on Spatial Statistics 2011, Enschede.
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-?).
van der Hilst, F., Verstegen, J. A., Karssenberg, D. J., & Faaij, A. P. C. (2011). Spatial modelling of land availability for biomass resources. 235-237. Abstract from 19th European Biomass Conference and Exhibition. From Research to Industry and Markets, Berlin. https://doi.org/10.5071/19thEUBCE2011-OD1.1
Vannametee, E., Karssenberg, D. J., Hendriks, M. R., & Bierkens, M. F. P. (2011). Representation of subgrid-scale variability in large-scale hydrological models using hydrgeomorphic units. H31l-03. Abstract from American Geophysical Union (AGU) Fall Meeting in San Francisco, USA, San Fransisco.
Verstegen, J. A., van der Hilst, F., Karssenberg, D. J., & Faaij, A. (2011). Communicating uncertainty in spatial decision support systems - a case study of bioenergy-crop potentials in Mozambique. Geophysical Research Abstracts, 13(EGU2011-8339).
https://dspace.library.uu.nl/bitstream/handle/1874/251756/VerstegenCommunicatingIncertainty.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/251756/VerstegenCommunicatingIncertainty.pdf?sequence=1
Karssenberg, D. J., Vannametee, E., Babel, L. C., Hendriks, M. R., & Bierkens, M. F. P. (2011). Multiple point geostatistics for automated landform mapping. U22B-06. Abstract from American Geophysical Union (AGU) Fall Meeting in San Francisco, USA, San Fransisco.
2010
Wetenschappelijke publicaties
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. In Effect of Climate Change on Temperate Forest Ecosystems (396 ed., pp. 43-69). (Nederlandse Geografische Studies; No. 396).
https://dspace.library.uu.nl/bitstream/handle/1874/431417/Effect_of_climate_change_on_temperate_forest_ecosystems.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/431417/Effect_of_climate_change_on_temperate_forest_ecosystems.pdf?sequence=1
Arieira, J., Karssenberg, D., de Jong, S. M., Addink, E. A., Couto, E. G., Nunes da Cunha, C., & Skøien, J. O. (2010). Integrating field sampling, spatial statistics and remote sensing to map wetland vegetation in the Pantanal, Brazil. Biogeosciences Discussions, 7(5), 6889-6934. https://doi.org/10.5194/bgd-7-6889-2010
https://dspace.library.uu.nl/bitstream/handle/1874/385385/bgd_7_6889_2010.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/385385/bgd_7_6889_2010.pdf?sequence=1
Brolsma, R. J., Karssenberg, D. J., & 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, 1348-1363. https://doi.org/10.1016/j.ecolmodel.2010.02.012
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
Overige resultaten
Hiemstra, P. H., & Karssenberg, D. J. (2010). Modeling nuclear accidents using an atmospheric transport model and the particle filter. Abstract from GIScience 2010, Zurich, Switzerland, Zurich.
Karssenberg, D. J. (2010). Early-warning signals for catastrophic soil degradation. Geophysical Research Abstracts, 12(EGU2010-?).
Vannametee, E., Karssenberg, D., Hendriks, M. R., de Jong, S. M., & Bierkens, M. F. P. (2010). Development of a transient, lumped hydrologic model for geomorphologic units in a geomorphology based rainfall-runoff modelling framework. Geophysical Research Abstracts, 12(EGU2010-6734-4), Article EGU2010-6734-4. http://adsabs.harvard.edu/abs/2010EGUGA..12.6734V
https://dspace.library.uu.nl/bitstream/handle/1874/396231/6734_4.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/396231/6734_4.pdf?sequence=1
Schmitz, O., Karssenberg, D. J., Wesseling, C. G., & de Jong, K. (2010). PCRaster Python framework for spatio-temporal modelling. Software
Youssef, F., Visser, S., Karssenberg, D. J., Bruggeman, A., & Erpul, G. (2010). Calibration of RWEQ in a patch landscape; a first step towards a regional scale wind erosion mo. Abstract from Third Conference on Desertification and Land Degradation, Ghent, Belgium.
Karssenberg, D. J., & Bierkens, M. F. P. (2010). The use of spatio-temporal correlation to forecast critical transitions. Geophysical Research Abstracts, 12(EGU2010-?).
Hendriks, M. R., & Karssenberg, D. J. (2010). Teaching geographical hydrology in a non-stationary world. Geophysical Research Abstracts, 12(EGU2010-7183).
Lana-Renault, N., Karssenberg, D. J., Latron, J., Serrano, P., Regüés, D., & Bierkens, M. F. P. (2010). Changes in catchment hydrology in relation to vegetation recovery: a comparative modelling experiment. Geophysical Research Abstracts, 12(EGU2010-6041-1).
Karssenberg, D. J., Stouthamer, E., & Bridge, J. S. (2010). External forcing and emergence in fluvial systems: results from a fluvial system model compared with observations from the Holocene Rhine-Meuse delta. Abstract from NPF Conference, Stavanger. http://www.helli.no/from_depositional_systems_to_sedimentary_successions/papers.pdf.
2009
Wetenschappelijke publicaties
van der Kwast, J., Timmermans, W., Gieske, A., Su, Z., Olioso, A., Jia, L., Elbers, J., Karssenberg, D., de Jong, S., & 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). Hydrology and Earth System Sciences Discussions, 6(1), 1165-1196. https://doi.org/10.5194/hessd-6-1165-2009
van der Kwast, J., Timmermans, W., Gieske, A., Su, Z., Olioso, A., Jia, L., Elbers, J., Karssenberg, D., de Jong, S., & 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). Hydrology and Earth System Sciences, 13(7), 1337-1347. https://doi.org/10.5194/hess-13-1337-2009
Schmitz, O., Karssenberg, D. J., van Deursen, W. P. A., & Wesseling, C. G. (2009). Linking external components to a spatio-temporal modelling framework: Coupling MODFLOW and PCRaster. Environmental Modelling and Software, 24(9), 1088-1099. https://doi.org/10.1016/j.envsoft.2009.02.018
2008
Wetenschappelijke publicaties
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
https://dspace.library.uu.nl/bitstream/handle/1874/382219/98_doc.pdf?sequence=1
Karssenberg, D. J., & 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, 1717-1745. https://doi.org/10.1111/j.1365-3091.2008.00965.x
Overige resultaten
van der Kwast, J., Karssenberg, D. J., & de Jong, S. M. (2008). Quantification of top soil moisture patterns: evaluation of field methods, process-based modelling, remote sensing and an integrated approach. Abstract from Luxembourg Earth Observation Day, Remote Sensing Applications in Environmental Sciences, Bourglinster (Grand-duchy of Luxembourg).
Karssenberg, D. J., de Jong, K., & Schmitz, O. (2008). A software environment for stochastic spatio-temporal modelling. Geophysical Research Abstracts, 10(EGU2008-?).
Karssenberg, D. J., & Bridge, J. S. (2008). Complex behaviour of a modelled fluvial system under Holocene environmental change. Geophysical Research Abstracts, 10(EGU2008-?).
2007
Wetenschappelijke publicaties
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
Addink, E. A., Barendregt, A., Ettema, D. F., Karssenberg, D. J., & de Nijs, A. C. M. (2007). Framing Land Use Dynamics II; Abstracts of keynote lectures, oral presentations and posters. Faculty of Geosciences.
Addink, E. A., Barendregt, A., Ettema, D. F., Karssenberg, D. J., & de Nijs, A. C. M. (2007). Framing Land Use Dynamics II. International conference, 18-20 April 2007. In Elisabeth Addink, Aat Barendregt, Dick Ettema, Derek Karssenberg, Ton de Nijs (Ed.), Framing Land Use Dynamics II. International conference, 18-20 April 2007: Abstract book
Peters, L., Lugtert, J., Douma, S., & Karssenberg, D. J. (2007). Assessing the value of different types of information for reservoir modelling using the Ensemble Kalman Filter. In International Mineralogical Association
Rebel, K. T., Riha, S. J., Karssenberg, D. J., & 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
2006
Wetenschappelijke publicaties
Pebesma, E. J., Karssenberg, D., & De Jong, K. (2006). Dynamic visualisation of spatial and spatio-temporal probability distribution functions. 825-831. Paper presented at 7th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, ACCURACY 2006, Lisbon, Portugal.
https://dspace.library.uu.nl/bitstream/handle/1874/415590/Pebesma2006accuracy.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/415590/Pebesma2006accuracy.pdf?sequence=1
Karssenberg, D. J., Pfeffer, K., & Vissers, M. J. M. (2006). Software tools for hydrological modelling. In C. Carraro (Ed.), Sustainable Management of Water Resources An Integrated Approach (pp. 235-262). (The Fondazione Eni Enrico Mattei (feem) series on Economics, the Environment and Sustainable Development). Edward Elgar Publishing.
Jakeman, A. J., Giupponi, C., Karssenberg, D. J., Hare, M. P., Fassio, A., & Letcher, R. A. (2006). Integrated Management of Water Resources: Concepts, Approaches and Challenges. In C. Giupponi, (Ed.), Sustainable Management of Water Resources An Integrated Approach (pp. 3-24). (The Fondazione Eni Enrico Mattei (feem) series on Economics, the Environment and Sustainable Development). Edward Elgar Publishing.
Pebesma, E. J., Karssenberg, D. J., & de Jong, K. (2006). Dynamic visualisation of spatial and spatio-temporal probability density functions. In Mario Caetano (Ed.), Proceedings of the 7th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences (pp. 825-831). International Spatial Accuracy Research Association.
https://dspace.library.uu.nl/bitstream/handle/1874/385398/Pebesma2006accuracy.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/385398/Pebesma2006accuracy.pdf?sequence=1
Giupponi, C., Jakeman, A. J., Karssenberg, D. J., & Hare, M. P. (2006). Sustainable management of water resources: an integrated approach. Edward Elgar Publishing.
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://doi.org/10.1016/j.envpol.2005.04.023
Karssenberg, D. J., & de Jong, K. (2006). Towards improved solution schemes for Monte Carlo simulation in environmental modeling languages. In P.J.M. Oosterom and M.J. Kreveld (Ed.), Geo-information and computational geometry (pp. 43-51). Nederlandse Commissie voor Geodesie.
https://dspace.library.uu.nl/bitstream/handle/1874/385567/Towards.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/385567/Towards.pdf?sequence=1
Karssenberg, D. J. (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
2005
Wetenschappelijke publicaties
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
Burrough, P. A., Karssenberg, D. J., & van Deursen, W. P. A. (2005). Environmental Modelling with PCRaster. In GIS, Spatial Analysis and Modeling (pp. 480). ESRI.
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
Visser, S. M., Sterk, G., & Karssenberg, D. (2005). Wind erosion modelling in a Sahelian environment. Environmental Modelling and Software, 20(1), 69-84. https://doi.org/10.1016/j.envsoft.2003.12.010
Visser, S. M., Sterk, G., & Karssenberg, D. J. (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
Overige resultaten
Bridge, J. S., & Karssenberg, D. J. (2005). Simulation of flow and sedimentary processes, including channel bifurcation and avulsion, on alluvial fans. Abstract from Unknown event, Delft.
Dalman, R., Karssenberg, D. J., Weltje, G. J., Postma, G. J., & Bridge, J. S. (2005). Associating alluvial stratigraphy with fluvio-deltaic evolution by nested numerical models. Abstract from Unknown event, Delft.
van Asch, T. W. J., Begueria, S., Malet, J. P., Jetten, V. G., Karssenberg, D. J., & Laigle, D. (2005). Simulation of debris flow spreading on low-gradient fans: a comparison of two modelling approach. Abstract from Unknown event.
Karssenberg, D. J., & Bridge, J. S. (2005). A 3D model simulating sediment transport, erosion and deposition within a network of channel belts and an associated floodplain. Abstract from Unknown event, Delft.
Dalman, R., Karssenberg, D. J., Weltje, G. J., Postma, G. J., & Bridge, J. S. (2005). Linking alluvial and deltaic stratigraphy using nested, numerical models. Abstract from Unknown event, Delft.
2004
Overige resultaten
Rebel, K. T., Riha, S. J., Karssenberg, D. J., & Hitchcock, D. R. (2004). A spatial explicit watershed model of water and tritium fluxes in the vadose zone. Abstract from Unknown event.
Karssenberg, D. J., Dalman, R., Weltje, G. J., Postma, G., & Bridge, J. S. (2004). Numerical modelling of delta evolution by nesting high and low resolution process-based models of sedimentary basin filling. Abstract from Eurodelta Final Meeting and Eurostrataform 2nd annual meeting, Venice.
2003
Overige resultaten
Karssenberg, D. J., Bridge, J. S., Stouthamer, E., Kleinhans, M. G., & Berendsen, H. J. A. (2003). Modelling cycles of fluvial aggradation and degradation using a process-based alluvial stratigraphy model. Abstract from Unknown event.
2002
Wetenschappelijke publicaties
Rebel, K. T., Riha, S. J., Karssenberg, D. J., & Hitchcock, D. R. (2002). A spatial explicit watershed model of water and tritium fluxes in the vadose zone. In Proceedings American Geophysical Union 2002, Spring Meeting, 28-31 May 2002, Washington
de Jong, K., Wesseling, C., & Karssenberg, D. J. (2002). Improving the model development cycle by automatic configuration of modelling tools. In iEMSs - Integrated Assessment and Decision Support (pp. 289-289).
https://dspace.library.uu.nl/bitstream/handle/1874/385404/Improving_the_model_development_cycle_by_automatic_configuration.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/385404/Improving_the_model_development_cycle_by_automatic_configuration.pdf?sequence=1
Karssenberg, D. J. (2002). Building dynamic spatial environmental models. [Doctoral thesis 1 (Research UU / Graduation UU), Universiteit Utrecht]. NGS. https://dspace.library.uu.nl/handle/1874/564
Pfeffer, K., Karssenberg, D. J., van Asch, T. W. J., & Burrough, P. A. (2002). Application of spatio-temporal environmental modelling and multicriteria analysis due to optimise the planning of socio-economic infrastructure. In Proceedings of iEMSs 2002, Integrated Assessment and Decision Support (pp. 502-502). International Environmental Modelling and Software Society.
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
Overige resultaten
Karssenberg, D. J. (2002). Geographical information systems and hydrological modelling. Abstract from Unknown event.
2001
Wetenschappelijke publicaties
Karssenberg, D. J., Tornqvist, T., & Bridge, J. S. (2001). Conditioning a process-based model of sedimentary architecture to well data. Journal of Sedimentary Research, (71), 868-879. https://doi.org/10.1306/051501710868
Pebesma, E. J., Karssenberg, D. J., & de Jong, K. (2001). The stochastic dimension in a dynamic GIS. In J. G. Bethlehem, & P. G. M. van der Heijden (Eds.), Proceedings of Compstat 2000, 14th Conference of the International Association for Statistical Computing (pp. 379-384). Physica Verlag.
https://dspace.library.uu.nl/bitstream/handle/1874/385397/pebesma2000.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/385397/pebesma2000.pdf?sequence=1
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
Overige resultaten
Karssenberg, D. J. (2001). Conditioning a process-based model of sedimentary architecture to well data. 148-148. Abstract from 7th International congrress of fluvial sedimentology, USA.
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.
2000
Wetenschappelijke publicaties
Van Der Perk, M., 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., & Zheleznyak, M. (2000). Assessment of spatial redistribution of Chernobyl-derived radiocaesium within catchments using GIS-embedded models. IAHS-AISH Publication, (263), 277-284.
1996
Wetenschappelijke publicaties
Wesseling, C. G., Karssenberg, D. J., Burrough, P. A., & Van Deursen, W. P. A. (1996). Integrating dynamic environmental models in GIS: The development of a dynamic modelling language. Transactions in GIS, 1(1), 40-48. https://doi.org/10.1111/j.1467-9671.1996.tb00032.x