Deadline for abstract submission: extended to 15th April 2022
- Abstract should be typed with MS Word using the template Surname_Name_STAHY2022.doc (alternative download), properly renamed with the family name and given name of the presenting Author.
- The abstract body should be short (100–500 words), clear, concise, and written in English with correct spelling and good sentence structure.
- Mathematical symbols and equations can be typed in or embedded as images.
- Figures and tables should not be included.
- Abstracts should be carefully compiled and thoroughly checked, in particular with regard to the list of Authors, before submission in order to avoid last-minute changes.
When your abstract is ready, please:
i) save also as *.pdf file, so we have a camera ready version;
ii) check that your *.doc and *.pdf files are both renamed with the family name and given name of the presenting Author;
iii) submit both *.doc and *.pdf files using the google form https://forms.gle/Sm2X8RN7V8p1JNSw5 (requires login with a valid Gmail address; in case there is any problem in the submission or you do not have a Gmail address, please send an email to email@example.com)
Registered participants (*) are allowed to submit one regular abstract as presenting Authors.
(*) Please note that there is no abstract processing charge, but presenting Authors must register no later than 01 August 2022.
STAHY2022 is eligible for SYSTA travel awards. Note that an abstract must already be submitted to be considered for an award. The closing date for SYSTA applications is 5th April 2022 (GMT).
Call for Abstract
The International Commission on Statistical Hydrology (ICSH) of the International Association of Hydrological Sciences (IAHS) invites researchers to submit abstracts for presentation at the 12th International Workshop on Statistical Hydrology (STAHY2022), which will be hosted by the University of Cagliari in Chia, Sardinia (Italy), 17-20 September 2022.
STAHY2022 workshop will bring together experts and young scientists alike for vibrant scientific discussions and debates on advanced statistical methods for hydrological applications. New insights and new approaches to characterize hydrological processes considering climate and global changes, inter- and intra-annual variability, statistical projections, and seasonal predictions are particularly welcome. Possible themes of interest are (but not limited to):
- Characterization and modeling of extreme hydrological and meteorological events, including e.g.: flood and precipitation frequency analysis, analysis of compound extremes, hydrological design and risk assessment with event based and continuous simulation approaches;
- Hydrological forecasting and nowcasting, including e.g.: data assimilation techniques, methods to merge different forcings, characterization of different sources of uncertainty;
- Drought characterization and forecasting, including e.g.: methods for drought frequency estimation and intensity identification, monitoring and early warning of drought events;
- Frontiers in hydrology, such as statistical applications to socio-hydrology and eco-hydrology, rainfall-triggered landslides;
- Hydrological applications based on big data, including,e.g.: data mining techniques, information theory, artificial intelligence and machine learning techniques;
- Scaling approaches in hydrology, fractals and multifractals.