Publicaties
2025
Wetenschappelijke publicaties
Schmitz, O., de Hoogh, K., Probst-Hensch, N., Jeong, A., Flückiger, B.
, Lu, M., Ndiaye, A.
, Vienneau, D., Hoek, G., Kyriakou, K., Vermeulen, R. C. H., & Karssenberg, D. (2025).
A computational framework for agent-based assessment of multiple environmental exposures.
Journal of Exposure Science and Environmental Epidemiology. Advance online publication.
[DOI] Kyriakou, K., Flückiger, B.
, Vienneau, D., Probst-Hensch, N., Jeong, A., Imboden, M., Karsies, A.
, Schmitz, O., Karssenberg, D., Vermeulen, R., Hoek, G., & de Hoogh, K. (2025).
GPS tracking methods for spatiotemporal air pollution exposure assessment: comparison and challenges in study implementation.
International Journal of Health Geographics,
24(1), Article 17.
[DOI] [Portal] Ndiaye, A., Vienneau, D., Flückiger, B., Probst-Hensch, N., Jeong, A., Imboden, M.
, Schmitz, O., Lu, M.
, Vermeulen, R., Kyriakou, K., Shen, Y., Karssenberg, D., de Hoogh, K.
, & Hoek, G. (2025).
Associations between long-term air pollution exposure and mortality and cardiovascular morbidity: A comparison of mobility-integrated and residential-only exposure assessment.
Environment International,
198, Article 109387.
[DOI] [Portal]Holler, S., Hall, K. R., Rayfield, B., Zapata-Ríos, G., Kübler, D., Conrad, O.
, Schmitz, O., Bonannella, C., Hengl, T., Böhner, J., Günter, S., & Lippe, M. (2025).
Ubi es, room to roam? Extension of the LPB-RAP model capabilities for potential habitat analysis.
Ecological Modelling,
501, Article 111005.
[DOI] [Portal]2024
Wetenschappelijke publicaties
Shen, Y., de Hoogh, K.
, Schmitz, O., Gulliver, J., Vienneau, D.
, Vermeulen, R., Hoek, G., & Karssenberg, D. (2024).
Europe-wide high-spatial resolution air pollution models are improved by including traffic flow estimates on all roads.
Atmospheric Environment,
335, Article 120719.
[DOI] [Portal] 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.
[DOI] [Repository]Holler, S., Kübler, D., Conrad, O.
, Schmitz, O., Bonannella, C., Hengl, T., Böhner, J., Günter, S., & Lippe, M. (2024).
Quo vadis, smallholder forest landscape? An introduction to the LPB-RAP model.
PLoS One,
19(2 February), Article e0297439.
[DOI] [Repository]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.
[DOI] [Repository] 2023
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. (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.
[DOI] [Repository] 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.
[DOI] [Repository] 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.
[DOI] [Repository] 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.
[DOI] [Repository] 2021
Wetenschappelijke publicaties
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.
[DOI] [Repository] 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.
[DOI] [Repository] 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.
[DOI] [Repository] 2020
Wetenschappelijke publicaties
Schmitz, O., Jong, K. D., & Karssenberg, D. (2020, Mar 23).
Integrated field-agent based modelling using the LUE scientific data base. EGU.
[DOI] [Repository] Bleuten, W., Zarov, E., & Schmitz, O. (2020).
A high-resolution transient 3-dimensional hydrological model of an extensive undisturbed bog complex in west siberia.
Mires and Peat,
26, Article 06.
[DOI] [Repository] 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.
[DOI] [Repository] 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.
[DOI] [Repository] 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.
[DOI] [Repository] 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.
[DOI] [Repository] 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.
[DOI] [Repository] 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.
[DOI] [Repository] 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.
[DOI] [Repository] 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.
[DOI] [Repository] 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.
[DOI] [Repository] 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.
[DOI] [Repository] 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.
[DOI] 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.
[DOI] [Repository] 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.
[DOI] [Repository] de Graaf, I. E. M., van Beek, R. L. P. H., Gleeson, T., Moosdorf, N.
, Schmitz, O., Sutanudjaja, E. H., & Bierkens, M. F. P. (2017).
A global-scale two-layer transient groundwater model: Development and application to groundwater depletion.
Advances in Water Resources,
102, 53-67.
[DOI] [Repository] 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.
[DOI] [Repository] 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.
[DOI] [Repository] 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
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.
[DOI] [Repository] Overige resultaten
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.
[Repository] 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.
[Repository] Schmitz, O., Karssenberg, D. J., de Jong, K., & de Raaff, W. H. (2016). An environmental modelling and information service for health analytics.
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.
[Repository] de Jong, K., Schmitz, O., & Karssenberg, D. J. (2016).
Generic algorithms for high performance scalable geocomputing. Abstract from EGU 2016, Vienna, Austria.
[Repository] 2015
Overige resultaten
Zarov, E., Schmitz, O., & Bleuten, W. (2015). Development of a high resolution modeling tool for prediction of waterflows through complex mires: Example of the Mukhrino bog complex in West Siberian middle Taiga Zone.. EGU2015-11500.
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.
2014
Wetenschappelijke publicaties
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.
[DOI] [Repository] Schmitz, O. (2014).
Integrating environmental component models. Development of a software framework. [Doctoral thesis 1 (Research UU / Graduation UU), Utrecht University]. Utrecht University.
[Repository] Overige resultaten
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).
[Repository] 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).
[Repository] 2013
Wetenschappelijke publicaties
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.
[DOI] [Repository] Overige resultaten
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
Wetenschappelijke publicaties
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 [Repository] 2011
Overige resultaten
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
Wetenschappelijke publicaties
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.
[DOI] [Repository] Overige resultaten
Schmitz, O., Karssenberg, D. J., Wesseling, C. G., & de Jong, K. (2010). PCRaster Python framework for spatio-temporal modelling. Software
2009
Wetenschappelijke publicaties
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.
[DOI] [Repository] 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 [Repository] Overige resultaten
Karssenberg, D. J., de Jong, K., & Schmitz, O. (2008). A software environment for stochastic spatio-temporal modelling. Geophysical Research Abstracts, 10(EGU2008-?).