Ladies and gentlemen,
we would like to invite you to the XXIX Conference of the Danubian countries. The Conference will focus on hydrological topics and current research needs in the Danubian region.
In response to the current pandemic situation and the associated measures we have decided to organize the conference virtually. Should the situation this year allow it, it would also be possible to attend the conference in person (in The Open gardens in Brno, Czech Republic).
The Conference of the Danubian Countries will be followed by the Conference of Czech and Slovak hydrologists “Hydrologické dny” (Hydrological Days), held on September 9, 2021. It is possible to attend both conferences. More information can be found at www.hydrologickedny.cz.
|Data: traditional & emerging, measurement, management & analysis|
|Current status of the hydrological basis of the Danube water management (gauge network and water ecosystem)|
|New developments in hydrological forecasting and enabling hydrological work in the Danube catchment|
|Learning about hydrological extremes: then, now & in the future|
moderators/lecturers: Ondrej Ledvinka, Lovrenc Pavlin, Vojtech Svoboda (visualizations), Klaudija Lebar (visualizations)
specific topics: introduction to R, data input/output/manipulation/basic visualization, statistical models
specific topics 2 (if time permits, only a brief showcase): pipe operator, more advanced data wrangling, local vs. remote (database) tables
required packages: ‘tidyverse’ package ecosystem including ‘ggplot2’
moderators/lecturers: Miriam Bertola, Ross Pidoto, Mojca Sraj; Klaudija Lebar (visualizations), Vojtech Svoboda (visualizations)
specific topics: flood frequency analysis, copulas, nonstationary analysis, time series visualization
required packages: ‘nsRFA’, ‘extRemes’, ‘lubridate’, ‘copula’, ‘ggplot2’; for time-series feature extraction, see the list in Papacharalampous et al. (2021)
moderators/lecturers: Juraj Parajka, Ross Pidoto, Ondrej Ledvinka
specific topics: working with vector and raster data within R, spatial interpolation (e.g. different types of kriging), raster algebra, data extraction (for points and polygons), predictive modelling (machine learning), remote sensing images processing, map creation
required packages: ‘gstat’, ‘automap’, ‘rgdal’, ‘sf’, ‘raster’, ‘terra’, ‘caret’, ‘CAST’, ‘sen2r’, ‘tidymodels’ ecosystem, ‘ggplot2’
moderators/lecturers: Nejc Bezak, Juraj Parajka, Laura Varga
specific topics: introduction to hydrological modelling in R, GR4J model, HBV model, hydrological model output/simulation aggregation, rainfall data disaggregation
required packages: ‘airGR’, ‘airGRteaching’, ‘TUWmodel’, ‘zoo’; for packages and models benchmarking, see Astagneau et al. (2020)
Astagneau, P. C., Thirel, G., Delaigue, O., Guillaume, J. H. A., Parajka, J., Brauer, C. C., Viglione, A., Buytaert, W., and Beven, K. J.: Hydrology modelling R packages: a unified analysis of models and practicalities from a user perspective, Hydrology and Earth System Sciences Discussions, https://doi.org/10.5194/hess-2020-498, 2020.
Ceola, S., Arheimer, B., Baratti, E., Blöschl, G., Capell, R., Castellarin, A., Freer, J., Han, D., Hrachowitz, M., Hundecha, Y., Hutton, C., Lindström, G., Montanari, A., Nijzink, R., Parajka, J., Toth, E., Viglione, A., and Wagener, T.: Virtual laboratories: new opportunities for collaborative water science, Hydrol. Earth Syst. Sci., 19, 2101–2117, https://doi.org/10.5194/hess-19-2101-2015, 2015.
Frías, M. D., Iturbide, M., Manzanas, R., Bedia, J., Fernández, J., Herrera, S., Cofiño, A. S. and Gutiérrez, J. M.: An R package to visualize and communicate uncertainty in seasonal climate prediction, Environmental Modelling & Software, 99, 101–110, https://doi.org/10.1016/j.envsoft.2017.09.008, 2018.
Papacharalampous, G., Tyralis, H., Papalexiou, S. M., Langousis, A., Khatami, S., Volpi, E., and Grimaldi, S.: Global-scale massive feature extraction from monthly hydroclimatic time series: Statistical characterizations, spatial patterns and hydrological similarity, Science of The Total Environment, 767, 144612, https://doi.org/10.1016/j.scitotenv.2020.144612, 2021.
Skøien, J. O., Blöschl, G., Laaha, G., Pebesma, E., Parajka, J., and Viglione, A.: rtop: An R package for interpolation of data with a variable spatial support, with an example from river networks, Computers & Geosciences, 67, 180–190, https://doi.org/10.1016/j.cageo.2014.02.009, 2014.
Wickham, H. and Grolemund, G.: R for Data Science: Import, Tidy, Transform, Visualize, and Model Data, O’Reilly Media, Boston, 492 pp., 2017.
Posters will be presented in a printed version at the conference site, as well as online at the conference website. Poster will be printed by the conference organizer.
|Mar 31, 2021||Deadline for extended abstract submission|
|Apr 15, 2021||Notification of acceptance|
|Jul 31, 2021||Deadline for full paper text submission|
|Jul 31, 2021||Deadline for registration without active participation|
The conference will be virtual, so there is no fee associated with the attendance. In case the situation allows it and you want to attend the conference in person, there would still be no fee, but each attendee must arrange their own accommodation and only basic catering will be available.
Please send the filled-in registration form and extended abstract (if you want to participate actively, which is not necessary for the registartion and in such case please use the template file below to create the abstract) to
An expert committee will select best three contributions of young scientists (non-PhD scientists up to 30 years old), which will be awarded (1st place 500 EUR, 2nd place 300 EUR and 3rd place 100 EUR).
Please note that the schedule is subject to change.
Answers to common questions and practical information.
The conference language is English.
The conference will be virtual, so there is no fee. If the situation allows it next year, it might be possible to attend in person, but in such case everyone has to arrange their own accommodation and only basic catering will be available.
Registration can be done by email, using the conference email address email@example.com.