September 26-27, Quebec
The International Commission on Statistical Hydrology (ICSH) of the International Association of Hydrological Sciences (IAHS) gathers 177 participants from 56 countries. The ICSH Commission holds many activities, among which the STAHY annual workshop may be considered as the most relevant. Thanks to this annual conference, the STAHY members can meet to share and discuss ideas and research, providing an excellent atmosphere for advancing in knowledge.
In addition, this event provides the opportunity to involve new members interested in the activities of the ICSH Commission all over the word, and especially from developing countries. Annual Workshops have already been held in Europe (Capri, Taormina and Kos), Africa (Tunis and Addis Ababa) and Asia (Abu Dhabi). This worldwide presence is further supported this year by holding the seventh edition of the STAHY International Workshop (STAHY 2016) in Quebec, and therefore for the first time in North America.
The seventh edition of the STAHY International Workshop (STAHY 2016) is organised by the former STAHY working group and now International Commission on Statistical Hydrology (ICSH) of the International Association of Hydrological Sciences (IAHS), focusing on statistical methods for hydrological applications.
Statistical and probabilistic methods have been traditionally applied to address many hydrological and geophysical problems, such as extreme flood and precipitation frequency analysis, extreme drought analysis and prediction, spatial analysis of hydrological processes such as rainfall and infiltration, stochastic simulation of hydrological processes such as streamflow and precipitation, short and long range forecasting of hydrological processes, ocean waves prediction, etc.
While the field has been well-established and much experience has been gained over the years, the development of new statistical methods and tools and the advances in computing hardware and software have further enlarged the scope of applications. In addition, the advances in other neighboring fields such as atmospheric and climatic sciences have also expanded our understanding and created novel challenges in the field of statistical hydrology.