Publications

Papers, reports, talks and software - newest first.

See also Google Scholar, OpenAlex and ORCID.

Journal articles, book chapters and conference papers

Gräler, B. and Schnell, J. (2026). Wasser als zentrale Ressource in Klimainformationsdiensten. WasserWirtschaft, 116(7), 21–25. https://doi.org/10.1007/s35147-026-2694-3.

Schröter, K., Schweizer, P.-J., Gräler, B., Cumiskey, L., Bharwani, S., Parviainen, J., Kropf, C. M., Håkansson, V. W., Drews, M., Irvine, T., Dondi, C., Apel, H., Löhrlein, J., Hochrainer-Stigler, S., Bagli, S., Huszti, L., Genillard, C., Unguendoli, S., Hattermann, F. and Steinhausen, M. (2025). Invited perspectives: Fostering interoperability of data, models, communication, and governance for disaster resilience through transdisciplinary knowledge co-production. Natural Hazards and Earth System Sciences, 25(9), 3055–3073. https://doi.org/10.5194/nhess-25-3055-2025.

Scharf, P., Erdmann, F., Shum, A. K., Bartoschek, T., Gräler, B., Silva, C. C. R. da, Villaça Meyer, L. F. and Karic, B. (2024). Urban Cycling: Intelligent Bicycle Sensors for Road Safety and Sustainability. FOSS4G 2024 Academic Track, Belém, Brazil. Zenodo. https://doi.org/10.5281/zenodo.14225954.

Lazoglou, G., Anagnostopoulou, C., Gräler, B., Tolika, K. and Kolyva-Machera, F. (2021). TIN-Copula method: A new statistical method for the bias correction of extreme climate events. Proceedings of the 15th International Conference on Meteorology, Climatology and Atmospheric Physics (COMECAP 2021), pp. 689–693. Ioannina, Greece. PDF; repository record.

Gräler, B., Klatt, I. I., Pontius, M. and Remke, A. (2020). Predictive Analytics to Improve Road Safety. 2020 10th International Conference on Advanced Computer Information Technologies (ACIT), pp. 362–367. IEEE, Deggendorf, Germany. https://doi.org/10.1109/acit49673.2020.9208848.

Hüttner, A., Scherer, M. and Gräler, B. (2020). Geostatistical modeling of dependent credit spreads: Estimation of large covariance matrices and imputation of missing data. Journal of Banking & Finance, 118, 105897. https://doi.org/10.1016/j.jbankfin.2020.105897.

Lazoglou, G., Anagnostopoulou, C., Tolika, K. and Gräler, B. (2020). Evaluation of a New Statistical Method—TIN-Copula–for the Bias Correction of Climate Models’ Extreme Parameters. Atmosphere, 11(3), 243. https://doi.org/10.3390/atmos11030243.

Jirka, S., Rieke, M., Remke, A., Gräler, B. and de Wall, A. (2019). Integration von In-Situ- und (Copernicus) Remote-Sensing-Daten in Informationsinfrastrukturen zur Umweltbeobachtung. Tagungsband des 26. Workshops des Arbeitskreises ‘Umweltinformationssysteme’ der Fachgruppe ‘Informatik im Umweltschutz’ der Gesellschaft für Informatik (GI), Münster, Umweltinformatik. Shaker Verlag. link.

Lazoglou, G., Gräler, B. and Anagnostopoulou, C. (2019). Simulation of extreme temperatures using a new method: TIN‐copula. International Journal of Climatology, 39(13), 5201–5214. https://doi.org/10.1002/joc.6124.

Malewski, C., Förster, C., Gräler, B. and Jirka, S. (2019). Kann die Wasserqualität in Stauseen aus Satellitendaten abgeleitet werden? WasserWirtschaft, 109(7-8), 44–47. https://doi.org/10.1007/s35147-019-0117-4.

Remke, A., Gräler, B., de Wall, A., Autermann, C. and Wytzisk, A. (2019). enviroCar – ein Citizen Science Labor für nachhaltige Mobilität. OSF Preprints. https://doi.org/10.17605/osf.io/8fhrz.

Hengl, T., Nussbaum, M., Wright, M. N., Heuvelink, G. B. M. and Gräler, B. (2018). Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables. PeerJ, 6, e5518. https://doi.org/10.7717/peerj.5518.

Gräler, B., Ayyad, C. and Mateu, J. (2017). Modelling count data based on weakly dependent spatial covariates using a copula approach: application to rat sightings. Environmental and Ecological Statistics, 24(3), 433–448. https://doi.org/10.1007/s10651-017-0379-x.

Heuvelink, G. B. M., Pebesma, E. and Gräler, B. (2017). Space-Time Geostatistics. In: S. Shekhar, H. Xiong, and X. Zhou (eds), Encyclopedia of GIS, pp. 1919–1926. Springer International Publishing. https://doi.org/10.1007/978-3-319-17885-1_1647.

Stasch, C., Pross, B., Gräler, B., Malewski, C., Förster, C. and Jirka, S. (2017). Coupling sensor observation services and web processing services for online geoprocessing in water dam monitoring. International Journal of Digital Earth, 11(1), 64–78. https://doi.org/10.1080/17538947.2017.1319977.

Gräler, B., Pebesma, E. and Heuvelink, G. (2016). Spatio-Temporal Interpolation using gstat. The R Journal, 8(1), 204–218. https://doi.org/10.32614/rj-2016-014.

Gräler, B., Petroselli, A., Grimaldi, S., De Baets, B. and Verhoest, N. (2016). An update on multivariate return periods in hydrology. Proceedings of the International Association of Hydrological Sciences, 373, 175–178. https://doi.org/10.5194/piahs-373-175-2016.

Scheider, S., Gräler, B., Pebesma, E. and Stasch, C. (2016). Modeling spatiotemporal information generation. International Journal of Geographical Information Science, 1–29. https://doi.org/10.1080/13658816.2016.1151520.

Gasch, C. K., Hengl, T., Gräler, B., Meyer, H., Magney, T. S. and Brown, D. J. (2015). Spatio-temporal interpolation of soil water, temperature, and electrical conductivity in 3D + T: The Cook Agronomy Farm data set. Spatial Statistics, 14, 70–90. https://doi.org/10.1016/j.spasta.2015.04.001.

Gräler, B. (2014). Modelling skewed spatial random fields through the spatial vine copula. Spatial Statistics, 10, 87–102. https://doi.org/10.1016/j.spasta.2014.01.001.

Kauppinen, T., Espindola, G. M. de, Jones, J., Sánchez, A., Gräler, B. and Bartoschek, T. (2014). Linked Brazilian Amazon Rainforest Data. Semantic Web, 5(2), 151–155. https://doi.org/10.3233/SW-130113.

Kilibarda, M., Hengl, T., Heuvelink, G. B. M., Gräler, B., Pebesma, E., Perčec Tadić, M. and Bajat, B. (2014). Spatio‐temporal interpolation of daily temperatures for global land areas at 1 km resolution. Journal of Geophysical Research: Atmospheres, 119(5), 2294–2313. https://doi.org/10.1002/2013JD020803.

Gräler, B., Berg, M. J. van den, Vandenberghe, S., Petroselli, A., Grimaldi, S., De Baets, B. and Verhoest, N. E. C. (2013). Multivariate return periods in hydrology: a critical and practical review focusing on synthetic design hydrograph estimation. Hydrology and Earth System Sciences, 17(4), 1281–1296. https://doi.org/10.5194/hess-17-1281-2013.

Stasch, C., Pebesma, E., Gräler, B. and Gerharz, L. (2013). Error-Aware Spatio-Temporal Aggregation in the Model Web. Geographic Information Science at the Heart of Europe, Lecture Notes in Geoinformation and Cartography, pp. 207–224. Springer International Publishing. https://doi.org/10.1007/978-3-319-00615-4_12.

Gerharz, L. E., Gräler, B. and Pebesma, E. (2011). Disaggregating gridded air quality data for individual exposure modelling. Procedia Environmental Sciences, 7, 146–151. https://doi.org/10.1016/j.proenv.2011.07.026.

Gräler, B. and Pebesma, E. (2011). The pair-copula construction for spatial data: a new approach to model spatial dependency. Procedia Environmental Sciences, 7, 206–211. https://doi.org/10.1016/j.proenv.2011.07.036.

Gräler, B., Kazianka, H. and Espindola, G. M. de (2010). Copulas, a novel approach to model spatial and spatio-temporal dependence. In: K. Henneböhl, L. Vinhas, E. Pebesma, and G. Câmara (eds), GIScience for Environmental Change Symposium Proceedings, ifgiprints, pp. 49–54. AKA Verlag. PDF.

Reports, theses and project deliverables

Erdmann, F., Kim Shum, A., Schnell, J., Bartoschek, T., Kraatz, J. and Gräler, B. (2026). Open-Source-Tools und Citizen Science für urbane Mobilitätsdaten. Zenodo. https://doi.org/10.5281/zenodo.18183645.

Tas, U., Erdmann, F., Bartoschek, T. and Gräler, B. (2026). atrAI Bikes - Sichere Fahrradstädte durch Datenwissenschaft und intelligente Fahrräder. Final project report. Technische Informationsbibliothek (TIB), Hannover. https://doi.org/10.34657/41332.

Bagli, S., Gräler, B., Bharwani, S., Pross, B., Pontius, M., Kropf, C., Wattin Håkansson, V., Irvine, T., Pancioli, V., Hedderich, D., Mazzoli, P., Steinhausen, M. J., Parviainen, J., Cumiskey, L., Conradt, T., Drews, M., Pedersen, J., Lörhlein, J., Renzi, F., Schweizer, P.-J., Genillard, C., Huszti, L., Khosh Bin Ghomash, S. and Apel, H. (2025). Compendium on data standards for interoperability in DRR and CCA. DIRECTED project deliverable. https://doi.org/10.5281/zenodo.16962603.

Bagli, S., Mazzoli, P., Luzzi, V., Renzi, M., Renzi, F., Pianini, S., Gräler, B., Schnell, J., Bela, G., Romas, E., Ziogas, A., Castellana, D., Broekman, A., Pesquer Mayos, L. and Prat, E. (2025). D5.4 I-CISK Platform Final Technical Specification and platform manual. I-CISK project deliverable. https://doi.org/10.5281/zenodo.17592672.

Bagli, S., Mazzoli, P., Luzzi, V., Renzi, M., Renzi, F., Pianini, S., Gräler, B., Schnell, J., Romas, E., Bela, G., Ziogas, A., Castellana, D., Broekman, A., Pesquer Mayos, L. and Prat, E. (2025). D5.3 Climate Data and Back-End Components (Task 5.2) and Front-End Components (Task 5.3). I-CISK project deliverable. https://doi.org/10.5281/zenodo.17592468.

Gräler, B. (2025). Data Fabric Service Platform v1 - Including configured RWL Interoperability Use Cases. DIRECTED project deliverable. https://doi.org/10.5281/zenodo.18400789.

Hofbauer, B., Cumiskey, L., Faulkner, H. A., Parviainen, J., Ng, N., Bharwani, S., Yokomatsu, M., Hochrainer-Stigler, S., Mazzoli, P., Apel, H., Conradt, T., Gräler, B., Kraatz, J., Bagli, S., Maciá Pou, A., Jumppanen Andersen, K., Pancioli, V., Huszti, L., Hedderich, D., Löhrlein, J., Struck, J., Kropf, C., Juhel, S., Jumppanen Andersen, K., Ferrari, T., Huling, J. L., Irvine, T., Steinhausen, M. J. and Schweizer, P.-J. (2025). Framework for Governance Processes and Interoperability. DIRECTED project deliverable. https://doi.org/10.5281/zenodo.18327800.

Irvine, T., Steinhausen, M. J., Bharwani, S., Ng, N., Schweizer, P.-J., Hofbauer, B., Pancioli, V., Hedderich, D., Löhrlein, J., Mazzoli, P., Cumiskey, L., Drews, M., Nanni, S., Hochrainer-Stigler, S., Huszti, L., Apel, H., Khosh Bin Ghomash, S., Kropf, C., Conradt, T., Maciá Pou, A., Gräler, B. and Pontius, M. (2025). Communication, Dissemination and Exploitation Report 3 - Period October 2024 to September 2025. DIRECTED project deliverable. https://doi.org/10.5281/zenodo.18400908.

Ng, N., Parviainen, J., Bharwani, S., Cumiskey, L., Steinhausen, M. J., Mazzoli, P., Bagli, S., Hofbauer, B., Irvine, T., Schweizer, P.-J., Pancioli, V., Hedderich, D., Löhrlein, J., Chebrol, N., Conradt, T., Drews, M., Pedersen, J., Renzi, F., Luzzi, V., Renzi, M., Nanni, S., Genillard, C., Hochrainer-Stigler, S., Huszti, L., Apel, H., Khosh Bin Ghomash, S., Gräler, B., Kraatz, J., Kropf, C. and Struck, J. (2025). Capacity Development Modules - ToT workshops in designing transdisciplinary knowledge co-production processes. DIRECTED project deliverable. https://doi.org/10.5281/zenodo.18399301.

Pancioli, V., Hedderich, D., Löhrlein, J., Mazzoli, P., Steinhausen, M. J., Parviainen, J., Cumiskey, L., Mau, J., Conradt, T., Drews, M., Rønde Nielsen, E., Laursen, A., Bagli, S., Renzi, F., Schweizer, P.-J., Nanni, S., Genillard, C., Hochrainer-Stigler, S., Struck, J., Huszti, L., Apel, H., Gräler, B., Kropf, C., Irvine, T. and Bharwani, S. (2025). Real World Lab framing and actors involved. DIRECTED project deliverable. https://doi.org/10.5281/zenodo.17286940.

Pancioli, V., Hedderich, D., Löhrlein, J., Mazzoli, P., Steinhausen, M. J., Parviainen, J., Cumiskey, L., Mau, J., Conradt, T., Drews, M., Rønde Nielsen, E., Laursen, A., Bagli, S., Renzi, F., Schweizer, P.-J., Nanni, S., Genillard, C., Hochrainer-Stigler, S., Struck, J., Huszti, L., Apel, H., Gräler, B., Kropf, C., Wattin Håkansson, V., Irvine, T. and Bharwani, S. (2025). Real World Labs description and setup. DIRECTED project deliverable. https://doi.org/10.5281/zenodo.17474190.

Parviainen, J., Bharwani, S., Mazzoli, P., Cumiskey, L., Schweizer, P.-J., Steinhausen, M. J., Irvine, T., Witton, R., Drews, M., Rønde Nielsen, E., Laursen, A., Huszti, L., Löhrlein, J., Struck, J., Pancioli, V., Hedderich, D. and Gräler, B. (2025). Capacity Development Strategy for DIRECTED - Training of Trainers – Implementing transdisciplinary knowledge co-production processes in Real World Labs. DIRECTED project deliverable. https://doi.org/10.5281/zenodo.17286404.

Pontius, M., Kraatz, J., Bredel, H., Gräler, B., Hinderk Jürrens, E., Bagli, S., Renzi, F., Luzzi, V., Renzi, M., Mazzoli, P., Bharwani, S., Pancioli, V., Hedderich, D., Löhrlein, J., Parviainen, J., Cumiskey, L., Conradt, T., Drews, M., Pedersen, J., Nanni, S., Genillard, C., Hochrainer-Stigler, S., Huszti, L., Apel, H., Khosh Bin Ghomash, S., Kropf, C., Struck, J., Hofbauer, B., Steinhausen, M. J. and Irvine, T. (2025). Low-Level Design - The architecture of the DIRECTED Data Fabric. DIRECTED project deliverable. https://doi.org/10.5281/zenodo.18401987.

Pontius, M., Kraatz, J., Gräler, B., Bagli, S., Mazzoli, P., Steinhausen, M. J., Drews, M., Cumiskey, L., Macià Pou, A., Pedersen, J., Genillard, C., Hedderich, D., Löhrlein, J., Huszti, L., Irvine, T. and Bharwani, S. (2025). High-Level Design of the Data Fabric - Interoperability framework for data and models. DIRECTED project deliverable. https://doi.org/10.5281/zenodo.17132484.

Speckamp, J., Bredel, H., Gräler, B., Kraatz, J., Steinhausen, M. J. and Irvine, T. (2025). Data Protection & Impact Assessment - Data security and the ethical dimensions of the DIRECTED Data Fabric. DIRECTED project deliverable. https://doi.org/10.5281/zenodo.17130685.

Steinhausen, M. J., Irvine, T., Bharwani, S., Schweizer, P.-J., Pancioli, V., Hedderich, D., Löhrlein, J., Mazzoli, P., Parviainen, J., Cumiskey, L., Chebrol, N., Conradt, T., Drews, M., Jumppanen Andersen, K., Maciá Pou, A., Bagli, S., Renzi, F., Luzzi, V., Renzi, M., Nanni, S., Genillard, C., Hochrainer-Stigler, S., Huszti, L., Apel, H., Khosh Bin Ghomash, S., Gräler, B., Kraatz, J., Kropf, C., Juhel, S., Struck, J., Hofbauer, B. and Faulkner, H. A. (2025). Periodic Report 2 - EU Grants: Periodic Report. DIRECTED project deliverable. https://doi.org/10.5281/zenodo.18401293.

Steinhausen, M. J., Irvine, T., Bharwani, S., Schweizer, P.-J., Pancioli, V., Hedderich, D., Löhrlein, J., Mazzoli, P., Parviainen, J., Cumiskey, L., Chebrol, N., Conradt, T., Drews, M., Pedersen, J., Bagli, S., Renzi, F., Luzzi, V., Renzi, M., Nanni, S., Genillard, C., Hochrainer-Stigler, S., Huszti, L., Apel, H., Khosh Bin Ghomash, S., Gräler, B., Kraatz, J., Kropf, C., Struck, J. and Hofbauer, B. (2025). Periodic Report 1 - EU Grants: Periodic Report (V1.1 – 01.05.2023). DIRECTED project deliverable. https://doi.org/10.5281/zenodo.17185299.

Bagli, S., Mazzoli, P., Luzzi, V., Renzi, M., Sartini, A., Gräler, B., Schnell, J., Bela, G., Ziogas, A., Castellana, D. and Werner, M. (2024). D5.2 Climate Data and Back‐End Components (Task 5.2) and Front‐End Components (Task 5.3). I-CISK project deliverable. https://doi.org/10.5281/zenodo.17592408.

Silva, C. C. R. da, Gräler, B., Villaça Meyer, L. F., Saraiva, P. F., Shum, A. K., Francisco, B. de J. G., Ramos, D. B. das N. R., Erdmann, F., Nafalski, G. P. N., Barros, G. de A., Araujo, J. P. S., Crossati, R. and Bartoschek, T. (2024). Building An International Information Architecture: Leveraging Data For Sustainable Development. Policy brief, G20 Task Force 05. Global Solutions Initiative. link.

Bagli, S., Demmich, K., Gräler, B., Luzzi, V., Mazzoli, P., Schnell, J., Vogel, M., Werner, M. and Yildiz, Y. (2023). D5.1 I-CISK platform – Technical Specification. I-CISK project deliverable. https://doi.org/10.5281/zenodo.17592342.

Gräler, B., Fischer, S. and Schumann, A. (2016). Joint modeling of annual maximum precipitation across different duration levels. Discussion paper 83/16. TU Dortmund, SFB 823. https://doi.org/10.17877/de290r-17707.

Gräler, B. (2014). Developing Spatio-Temporal Copulas. PhD thesis. Westfälische Wilhelms-Universität Münster, Institute for Geoinformatics. PDF.

Gräler, B., Rehr, M., Gerharz, L. and Pebesma, E. (2013). Spatio-temporal analysis and interpolation of PM10 measurements in Europe for 2009. ETC/ACM Technical Paper 2012/8. European Topic Centre on Air Pollution and Climate Change Mitigation (ETC/ACM).

Rehr, M., Pebesma, E. and Gräler, B. (2013). Detecting outlying observations and structural changes in European air quality data. ETC/ACM Technical Paper 2012/16. European Topic Centre on Air Pollution and Climate Change Mitigation (ETC/ACM). link.

Gräler, B., Gerharz, L. and Pebesma, E. (2012). Spatio-temporal analysis and interpolation of PM10 measurements in Europe. ETC/ACM Technical Paper 2011/10. European Topic Centre on Air and Climate Change (ETC/ACM). link.

Gerharz, L., Gräler, B. and Pebesma, E. (2011). Measurement artefacts and inhomogeneity detection. ETC/ACM Technical Paper 2011/8. European Topic Centre on Air and Climate Change (ETC/ACM). link.

Talks, posters and workshops

Bagli, S., Mazzoli, P., Luzzi, V., Renzi, F., Renzi, M., Redaelli, T., Cocchi, D., Cumiskey, L., Gräler, B., Dondi, C., Pancioli, V., Morollli, C., Pesaresi, A., Carlini, M., Pedron, P., Pangalli, A., Lazzari, E. and Steinhausen, M. (2026). A Cloud-Based DataFabric for Multi-Hazard Nowcasting and Near-Real-Time Disaster Risk Management: The Emilia-Romagna Case Study within the DIRECTED Project. EGU General Assembly 2026, Vienna, Austria. EGU26-6437. https://doi.org/10.5194/egusphere-egu26-6437.

Gräler, B. (2026). Skalierbare Analyse-Workflows im digitalen Zwilling: LLM-basierte No-Code-Komposition von OGC Diensten. 14. Deutsches GeoForum 2026, Session ‘Künstliche Intelligenz’, DDGI, Berlin, Germany, 2 December 2026. link.

Gräler, B. (2026). Im Co-Design mit Open-Source Lösungen von offenen Klimadaten zu entscheidungsreifen Informationsprodukten – Die Arbeit in und mit Reallaboren über Europa hinweg zur Gestaltung passgenauer Open-Source Lösungen. Reallaborkonferenz 2026, Session ‘Digitale und hybride Reallabore’, Leverkusen, Germany, 17 September 2026. link.

Gräler, B. (2026). OGC API Processes Under Control with AI. 52°North Innovation Summit 2026, Session ‘GeoInnovations I’, Münster, Germany, 23 September 2026. link.

Gräler, B. (2026). An uDT to Accelerate Climate Change Adaptation. 52°North Innovation Summit 2026, Session ‘Urban Digital Twins’, Münster, Germany, 22 September 2026. link.

Gräler, B. (2026). Data Fabric for Climate Change Adaptation (CCA) and Disaster Risk Management (DRM). INTERSCHUTZ 2026, DIREKTION booth (Hall 26, Stand F03), Session ‘Situational Awareness & Common Operational Picture – Part 1’, Hannover, Germany, 2 June 2026. link.

Gräler, B. (2026). How co-designed interoperable open-source geospatial information tools support CCA and DRM. Geospatial World Forum 2026, Session ‘Climate Resilience and Disaster Management’, Amsterdam, The Netherlands, 1 May 2026. link.

Gräler, B., Fechner, T. and Ondieki, J. (2026). From Tedious to Automated: A Multi-Agent AI Approach to Reducing the Metadata Curation Burden. OGC Metadata Summit, Bolzano, Italy, 7 September 2026.

Gräler, B., Schnell, J., Wegmeyer, J.-P., Bohn, N. and Jirka, S. (2026). Beschleunigung der Stadtplanung durch LLM-gestützte Analyse-Workflow-Komposition im urbanen digitalen Zwilling. 3. Forum GEO.KI ‘Modelle, Methoden, Mehrwert – KI-gestützte Geodatenanalyse von der Infrastruktur bis zur Anwendung’, Bundesamt für Kartographie und Geodäsie (BKG), 1–2 October 2026. abstract; programme; presented by Simon Jirka; corresponding paper in preparation.

Steinhausen, M., Irvine, T., Schweizer, P.-J., Bagli, S., Bharwani, S., Apel, H., Gräler, B., Cumiskey, L., Drews, M., Hochrainer-Stigler, S., Conradt, T. and Schröter, K. (2026). Co-developing interoperable disaster risk management solutions for climate resilience: Innovations in tools, governance, and communication from the DIRECTED Project. EGU General Assembly 2026, Vienna, Austria. EGU26-19997. https://doi.org/10.5194/egusphere-egu26-19997.

Gräler, B. (2025). Im Co-Design von offenen Klimadaten zu passgenauen Informationsprodukten zur Klimawandelanpassung und Katastrophenrisikomanagement. 13. Deutsches GeoForum 2025, Session ‘Klimawandel und Risikomanagement – Block B’, DDGI, Berlin, Germany, 12 November 2025. link.

Gräler, B. and Holl, S. (2025). Automatische Veredelung von offenen Nahe-Echtzeit-Daten. FOSSGIS 2025, Münster, Germany. Abstract in the FOSSGIS 2025 conference proceedings, p. 231. https://doi.org/10.48711/20250605-005.

Gräler, B., Pontius, M., Schnell, J., Bagli, S. and Mazzoli, P. (2025). Advancing Disaster Risk Management and Climate Adaptation: Modular, Scalable, and Open Standards-Based Spatial Data Infrastructure for Local Action. EGU General Assembly 2025, Vienna, Austria. EGU25-17179. https://doi.org/10.5194/egusphere-egu25-17179.

Gräler, B., Schnell, J., Demmich, K., Yildiz, Y., Vogel, M., Kraatz, J., Bagli, S. and Mazzoli, P. (2024). A Preoperational Climate Service Information System: Addressing Technical Challenges and Enhancing User Engagement. EGU General Assembly 2024, Vienna, Austria. EGU24-18756. https://doi.org/10.5194/egusphere-egu24-18756.

Kraatz, J., Demmich, K., Schnell, J., Gräler, B., Bagli, S. and Mazzoli, P. (2024). A Federated Data Fabric to Enhance Disaster Resilience for Extreme Weather Events. EGU General Assembly 2024, Vienna, Austria. EGU24-19293. https://doi.org/10.5194/egusphere-egu24-19293.

Autermann, C., Bredel, H., Gräler, B. and Pontius, M. (2023). GeoNode in Forschungsdateninfrastrukturen. FOSSGIS 2023, Berlin, Germany. Abstract in the FOSSGIS 2023 conference proceedings, p. 158; video of the talk. https://doi.org/10.48711/20231005-005.

Gräler, B., Demmich, K., Schnell, J., Vogel, M., Bagli, S. and Mazzoli, P. (2023). Building an Open Source Infrastructure for Next Generation End User Climate Services. EGU General Assembly 2023, Vienna, Austria. EGU23-15863. https://doi.org/10.5194/egusphere-egu23-15863.

Schröter, K., Steinhausen, M. J., Irvine, T., Bagli, S., Bharwani, S., Schweizer, P.-J., Cumiskey, L., Drews, M., Struck, J., Gräler, B., Apel, H., Kropf, C., Hochrainer-Stigler, S., Neidhard, L. and Hattermann, F. (2023). Disaster resilience for extreme climate events providing interoperable data, models, communication and governance - DIRECTED Project. 28th IUGG General Assembly, Berlin, Germany. IUGG23-0843. https://doi.org/10.57757/iugg23-0843.

Steinhausen, M., Schröter, K., Drews, M., Cumiskey, L., Apel, H., Bagli, S., Bharwani, S., Struck, J., Bittner, D., Conradt, T., Gräler, B., Genillard, C., Hochrainer-Stigler, S., Huszti, L., Irvine, T., Kropf, C. M., Rønde Nielsen, E., Schweizer, P.-J., Pancioli, V. and Rutili, A. and (2023). DIRECTED – Disaster Resilience for Extreme Climate Events providing Interoperable Data, Models, Communication and Governance. EGU General Assembly 2023, Vienna, Austria. EGU23-13541. https://doi.org/10.5194/egusphere-egu23-13541.

Gräler, B. (2022). Communicating Uncertainties in Bi- and Multivariate Distributions. EGU General Assembly 2022, Vienna, Austria. EGU22-11075. https://doi.org/10.5194/egusphere-egu22-11075.

Gräler, B. (2022). Extreme events session. OpenGeoHub Summer School 2022 (KI:STE Summer School), Siegburg, Germany, 31 August 2022. recorded lecture (TIB AV-Portal). https://doi.org/10.5446/59415.

Gräler, B., Autermann, C. and Rieke, M. (2022). Die Rolle des Geoinformationsmanagements im Projekt KI:STE: KI Strategie für Erdsystemdaten. GeoIT Round Table NRW, Düsseldorf, Germany, January 2022. link.

Gräler, B. and Rieke, M. (2022). Integration von verteilten Geo-Daten in Forschungsdateninfrastrukturen mit Hilfe von GeoNode. FOSSGIS 2022, recorded talk (TIB AV-Portal). https://doi.org/10.5446/56813.

Pontius, M., Zaabalawi, S., Jürrens, E. H. and Gräler, B. (2022). Reducing cargo ship emissions through energy demand optimized routing. EGU General Assembly 2022, Vienna, Austria. EGU22-9927. https://doi.org/10.5194/egusphere-egu22-9927.

Rieke, M., Gräler, B. and Jirka, S. (2022). Joining Geo Data Across Different Providers to Ease Machine Learning Applications. EGU General Assembly 2022, Vienna, Austria. EGU22-11102. https://doi.org/10.5194/egusphere-egu22-11102.

Werner, M., Masih, I., Emerton, R., Pechlivanidis, I., Schaafsma, M., Pesquer, L., Baldassare, G. di, Homberg, M. van den, Bagli, S., Gamtkitsulashvili, M., De Stefano, L., Gräler, B., Bela, G. and Tzimas, A. (2022). I-CISK: Towards a social and behaviourally informed approach to co-producing climate services. EGU General Assembly 2022, Vienna, Austria. EGU22-10661. https://doi.org/10.5194/egusphere-egu22-10661.

Werner, M., Masih, I., Emerton, R., Pechlivanidis, I., Schaafsma, M., Pesquer, L., Di Baldassarre, G., Homberg, M. van den, Mazzoli, P., Gamtkitsulashvili, M., De Stefano, L., Gräler, B., Bela, G. and Tzimas, A. (2022). Seaming together a patchwork of knowledges: toward co-producing social and behaviourally informed climate services. EMS Annual Meeting 2022, Bonn, Germany. EMS2022-536. https://doi.org/10.5194/ems2022-536.

Gräler, B. (2021). Spatial Information Infrastructures to Reduce the Global Maritime Transport Emissions. OpenDataScience Europe 2021, recorded talk (TIB AV-Portal). https://doi.org/10.5446/55268.

Gräler, B. and Konkol, M. (2021). Open Science Workshop at Thünen Institute. Workshop at Thünen Institute, 14–15 December 2021; workshop material on Zenodo. https://doi.org/10.5281/zenodo.5782813.

Gräler, B. and Konkol, M. (2021). Open Science Workshop at Thünen Institute. Workshop at Thünen Institute, December 2021; workshop material on Zenodo. https://doi.org/10.5281/zenodo.5747044.

Jirka, S., Gräler, B., Rieke, M. and Autermann, C. (2021). Cloud-based Research Data Infrastructures Integrating In-Situ and Remote Sensing Data. EGU General Assembly 2021, Vienna, Austria. EGU21-14441. https://doi.org/10.5194/egusphere-egu21-14441.

Seidler, T., Schultz, N., Quade, M., Autermann, C., Gräler, B. and Abel, M. (2021). Easing and promoting the application of ML and AI in earth system sciences - introducing the KI:STE platform. EGU General Assembly 2021, Vienna, Austria. EGU21-9632. https://doi.org/10.5194/egusphere-egu21-9632.

Stadtler, S., Kowalski, J., Abel, M., Roscher, R., Crewell, S., Gräler, B., Kollet, S. and Schultz, M. (2021). KI:STE Project – AI Strategy for Earth System Data. EGU General Assembly 2021, Vienna, Austria. EGU21-211. https://doi.org/10.5194/egusphere-egu21-211.

Gräler, B., Doll, C., Mück, J., Remke, A., Schramm, D., de Wall, A. and Wulffius, H. (2020). CITRAM - Citizen Science for Traffic Management. EGU General Assembly 2020, Vienna, Austria. EGU2020-19952. https://doi.org/10.5194/egusphere-egu2020-19952.

Gräler, B., Stumpen, H. A., Klatt, I., Pontius, M. and Remke, A. (2020). PreASiSt – Predictive Analytics zur Verbesserung der Sicherheit im Straßenverkehr. Deutsche Hochschule der Polizei (DHPol), Münster, Germany, March 2020.

Jirka, S., Jürrens, E. H., Gräler, B., Hollmann, C., Kotsev, A., Gerboles, M., Borowiak, A. and Schade, S. (2020). AQSens: An Interoperable Platform Integrating Citizen Science and Authoritative Air Quality Data. EGU General Assembly 2020, Vienna, Austria. EGU2020-14358. https://doi.org/10.5194/egusphere-egu2020-14358.

Leopold, U., Gräler, B., Bredel, H., Torres-Matallana, J. A., Pinheiro, P., Stefas, M., Udelhoven, T., Dries, J., Valentin, B., Gale, L., Mougnaud, P. and Schlerf, M. (2020). The Earth Observation Time Series Analysis Toolbox (EOTSA) - An R package with WPS, Web-Client and Spark integration. EGU General Assembly 2020, Vienna, Austria. EGU2020-21974. https://doi.org/10.5194/egusphere-egu2020-21974.

Nüst, D., Jürrens, E. H., Gräler, B. and Jirka, S. (2020). Accessing environmental time series data in R from Sensor Observation Services with ease. EGU General Assembly 2020, Vienna, Austria. EGU2020-19453. https://doi.org/10.5194/egusphere-egu2020-19453.

Pontius, M., Gräler, B., Remke, A. and de Wall, A. (2020). Estimating fuel consumption of cars based on movement data and its sensitivity to car and movement specific properties. EGU General Assembly 2020, Vienna, Austria. EGU2020-9246. https://doi.org/10.5194/egusphere-egu2020-9246.

de Wall, A., Remke, A. and Gräler, B. (2019). A Cloud-native Architecture for Near-Real-Time Monitoring of Floods. EGU General Assembly 2019, Vienna, Austria. Geophysical Research Abstracts, Vol. 21.

de Wall, A., Remke, A., Gräler, B., Fechner, T. and Bernsdorf, B. (2019). Improving Methods and Technologies for the Large-Scale Monitoring of Flooding Situations. EGU General Assembly 2019, Vienna, Austria. Geophysical Research Abstracts, Vol. 21.

Gräler, B., de Wall, A. and Remke, A. (2019). Citizen Science for Traffic Management and Safety. EGU General Assembly 2019, Vienna, Austria. Geophysical Research Abstracts, Vol. 21.

Gräler, B., Malewski, C., Förster, C. and Jirka, S. (2019). Integration zeitlich hochauflösender Fernerkundungsdaten in das Sensor Web. 2. Bochumer Hydrometrie-Kolloquium, Bochum, Germany, 20 February 2019.

Radtke, M., Gräler, B., Jürrens, E. H. and Jirka, S. (2019). Managing Earth Observation datasets as multidimensional arrays using SciDB and open standards. EGU General Assembly 2019, Vienna, Austria. Geophysical Research Abstracts, Vol. 21.

Gräler, B., Stasch, C., Jirka, S., Malewski, C., Förster, C. and Remke, A. (2018). Combining remote sensing and in-situ data for water body monitoring. EGU General Assembly 2018, Vienna, Austria. EGU2018-14509. link.

Pross, B., Gräler, B., Stasch, C., Malewski, C., Förster, C. and Jirka, S. (2018). A dam information and monitoring system rooted in the sensor web. EGU General Assembly 2018, Vienna, Austria. EGU2018-17402. link.

Fischer, S., Gräler, B. and Schumann, A. (2017). Spatio-temporal assessment of flood events by hierarchical Kendall-copulas. EGU General Assembly 2017, Vienna, Austria. EGU2017-1999. link.

Gräler, B. (2017). Modelling Extremes with Local Spatial and Spatio-Temporal Vine Copulas. CRM workshop ‘Dependence modeling tools for risk management’, Montreal, Canada, 2–5 October 2017.

Gräler, B. (2017). Interpolation of spatial and spatio-temporal data. Workshop at the Spatial Statistics Conference 2017, Lancaster, UK, 4 July 2017. course material on BitBucket. link.

Gräler, B., Fischer, S. and Schumann, A. (2017). Joint modeling of annual maximum precipitation across different duration levels. EGU General Assembly 2017, Vienna, Austria. EGU2017-2004. link.

Gräler, B., Stasch, C., Pross, B., Peeters, O. and Jirka, S. (2017). Open Tools for Statistical Analysis in Spatial Data Infrastructures. UNECE and UN-GGIM Workshop on Integrating Geospatial and Statistical Standards, Stockholm, Sweden, 6–8 November 2017.

Stasch, C., Pross, B., Jirka, S. and Gräler, B. (2017). Adding Processing Functionality to the Sensor Web. EGU General Assembly 2017, Vienna, Austria. EGU2017-15052. link.

Ayyad, C., Gräler, B., Aragó, P. and Mateu, J. (2016). Modelling crime data in European Mediterranean towns: a vine copula approach. Poster at the 8th International Workshop on Spatio-Temporal Modelling (METMA VIII), Valencia, Spain, 1–3 June 2016.

Gräler, B. (2016). Precipitation modeling via spatial vine copulas. CMStatistics 2016, Session EO009, Seville, Spain, 9 December 2016. link.

Gräler, B., Petroselli, A., Grimaldi, S., De Baets, B. and Verhoest, N. E. C. (2016). An Update on Multivariate Return Periods in Hydrology. Talk at the 7th International Water Resources Management Conference of ICWRS, Bochum, Germany, 18–20 May 2016. https://doi.org/10.5194/piahs-373-175-2016.

Hüttner, A., Scherer, M. and Gräler, B. (2016). On the application of geostatistical methods to the modelling of correlated credit spreads. Poster at the German Probability and Statistics Days 2016, Bochum, Germany, 1–4 March 2016. link.

Pebesma, E., Scheider, S., Gräler, B., Stasch, C. and Hinz, M. (2016). An algebra for spatio-temporal information generation. EGU General Assembly 2016, Vienna, Austria. EGU2016-7231. link.

Schumann, A. and Gräler, B. (2016). Vergleich der statistischen Ansätze für Starkniederschlag und Hochwasser DWA-A 531 vs DWA-M 552. Expertengespräch zum Thema Bemessungsniederschlag, Hanover, Germany, 7 March 2016.

Gasch, C. K., Hengl, T., Gräler, B., Meyer, H., Magney, T. S. and Brown, D. J. (2015). Geostatistical modelling with 3D+T data: soil moisture, temperature, and electrical conductivity at the field scale. EGU General Assembly 2015, Vienna, Austria. EGU2015-8598. link.

Gräler, B. (2015). The spatial vine copula: modelling skewed spatial random fields. Oberseminar Finanz- und Versicherungsmathematik of LMU/TUM, Munich, Germany, 13 July 2015. link.

Gräler, B. (2015). Introduction to spatial copulas. Talk at the Spatial Statistics Conference 2015, Avignon, France, 9–12 June 2015.

Gräler, B. (2015). Spatio-temporal statistics with R: an introduction to packages spacetime, gstat and spcopula. Workshop at the Spatial Statistics Conference 2015, Avignon, France, 9–12 June 2015.

Gräler, B. (2015). Workshop zur Trajektorienanalyse. Universität Osnabrück, Fachbereich Biologie/Chemie, Abteilung Biologiedidaktik, Osnabrück, Germany, 23 January 2015.

Solnicky, R. and Gräler, B. (2015). Vine copulas and synthetic flood events generation. Aon Benfield Research Conference, Zurich, Switzerland, 22 June 2015.

Gasch, C. K., Hengl, T., Magney, T. S., Brown, D. J. and Gräler, B. (2014). Spatio-temporal interpolation of soil moisture in 3D+T using automated sensor network data. AGU Fall Meeting 2014, San Francisco, USA. Abstract H13D-1146.

Gräler, B. (2014). Modelling spatio-temporal random fields locally with vine copulas. Invited talk at the CRM-CANSSI Workshop on New Horizons in Copula Modeling, Montreal, Canada, 15–18 December 2014.

Gräler, B. (2014). Covariates in Spatio-Temporal Vine Copulas. Spatial Copula Workshop 2014, Münster, Germany, 22–23 September 2014. slides.

Gräler, B. (2014). gstat package tutorial. Pre-conference tutorial at DailyMeteo.org 2014, Belgrade, Serbia, 23–27 June 2014. slides.

Gräler, B. (2014). Spatial Statistics – a one hour introduction. Invited talk at the TUM IGSSE Forum Raitenhaslach 2014, Burghausen, Germany, 16–18 June 2014. slides; BitBucket repository.

Gräler, B. (2014). Spatio-Temporal Geostatistics. One day course within the GEOSTAT Summer School 2014, Bergen, Norway, 15–22 June 2014. slides on spatio-temporal geostatistics; slides on copulas.

Gräler, B. (2013). The spcopula R-package: Modelling Spatial and Spatio-Temporal Dependence with Copulas. Spatial Statistics 2013, Columbus, Ohio, USA, 4–7 June 2013. slides; abstract.

Gräler, B. (2013). Modeling Extremes with the Spatial Vine Copula. Poster at Spatial Statistics 2013, Columbus, Ohio, USA, 4–7 June 2013. poster; abstract.

Gräler, B. (2013). Modelling Spatial Phenomena and Joint Return Periods with Copulas using R: the spcopula Package. Poster at the EGU General Assembly 2013, Vienna, Austria. poster; abstract EGU2013-7443.

Gräler, B. (2013). An Application of Vine Copulas in the Spatio-Temporal Domain. Spatial Copula Day, Technische Universität München, Garching, Germany, 21 February 2013.

Gräler, B. (2012). Spatio-Temporal Geostatistics. One day course within the GEOSTAT Summer School 2012, Münster, Germany, 3–11 September 2012. link.

Gräler, B. and Pebesma, E. (2012). Modelling Dependence in Space and Time with Vine Copulas. Ninth International Geostatistics Congress (Geostats 2012), Oslo, Norway, 11–15 June 2012. slides; abstract; extended abstract.

Gräler, B. and Stasch, C. (2012). Flexible representation of spatio-temporal random fields in the model web. EGU General Assembly 2012, Vienna, Austria. EGU2012-4617. link.

Gräler, B., Vandenberghe, S., Berg, M. J. van den, Grimaldi, S., Petroselli, A., De Baets, B. and Verhoest, N. E. C. (2012). Multivariate Return Periods based on Vine Copulas. EGU General Assembly 2012, Vienna, Austria. EGU2012-4097. link.

Kauppinen, T., Gräler, B. and Espindola, G. M. de (2012). Sharing and Analyzing Remote Sensing Observation Data for Linked Science. Poster at the Extended Semantic Web Conference 2012, Heraklion, Crete, Greece, 27–31 May 2012. poster; abstract.

Kauppinen, T., Hage, W. R. van and Gräler, B. (2012). Interconnecting Linked Open Data and R with the SPARQL package for Linked Science. Workshop at SWAT4LS, Paris, France, 28–30 November 2012. link.

Gerharz, L. E., Gräler, B. and Pebesma, E. (2011). Disaggregation of air quality data for spatio-temporal exposure modelling. Poster at Spatial Statistics 2011 – Mapping global change, Enschede, The Netherlands, 23–25 March 2011. https://doi.org/10.1016/j.proenv.2011.07.026.

Gräler, B. (2011). Using vine copulas to explore relationships between variables determining deforestation in the Brazilian Amazon. GEOINFORMATIK 2011 – GEOCHANGE, Münster, Germany, 15–17 June 2011. slides.

Gräler, B. (2011). Vine copulas for spatial interpolation. 4th Workshop on Vine Copula Distributions and Applications, Technische Universität München, Garching, Germany, 11–12 May 2011. slides.

Gräler, B. and Pebesma, E. (2011). The pair-copula construction for spatial data: a new approach to model spatial dependency. Poster at Spatial Statistics 2011 – Mapping global change, Enschede, The Netherlands, 23–25 March 2011. poster (A4). https://doi.org/10.1016/j.proenv.2011.07.036.

Software

Gräler, B. (2026). sfcopula: Copula Driven Analysis of Spatial and Spatio-Temporal Data Based on ’sf’ and ’stars’. R package version 0.1-0, GitHub. Successor of spcopula. link.

Pebesma, E. (2026). spacetime: Classes and Methods for Spatio-Temporal Data. R package version 1.3-4, CRAN. Contributor: B. Gräler. https://doi.org/10.32614/CRAN.package.spacetime.

Pebesma, E. and Gräler, B. (2026). gstat: Spatial and Spatio-Temporal Geostatistical Modelling, Prediction and Simulation. R package version 2.1-6, CRAN. https://doi.org/10.32614/CRAN.package.gstat.

Pebesma, E., Klus, B. and Moradi, M. (2026). trajectories: Classes and Methods for Trajectory Data. R package version 0.2-10, CRAN. Contributor: B. Gräler. https://doi.org/10.32614/CRAN.package.trajectories.

Teickner, H., Pebesma, E. and Gräler, B. (2026). sftime: Classes and Methods for Simple Feature Objects that Have a Time Column. R package version 0.3.2, CRAN. https://doi.org/10.32614/CRAN.package.sftime.

Nagler, T. (2025). VC2copula: Extend the ’copula’ Package with Families and Models from ’VineCopula’. R package version 0.1.6, CRAN. Contributor: B. Gräler. https://doi.org/10.32614/CRAN.package.VC2copula.

Nagler, T., Schepsmeier, U., Stoeber, J., Brechmann, E. C., Gräler, B. and Erhardt, T. (2025). VineCopula: Statistical Inference of Vine Copulas. R package version 2.6.1, CRAN. https://doi.org/10.32614/CRAN.package.VineCopula.

Gräler, B. (2020). spcopula: Copula Driven Analysis – Multivariate, Spatial, Spatio-Temporal. R package version 0.2-5, GitHub. link.

Nüst, D., Gräler, B., Pross, B. and Jürrens, E. H. (2020). sos4R: Client for OGC Sensor Observation Services. R package version 0.4.2, GitHub. Archived: removed from CRAN in 2020; the GitHub repository is read-only. link.