| Session Details
|
| Section |
HS - Hydrological Sciences
|
| Session Title |
Statistical Modeling of Hydro-climatological Processes |
| Main Convener |
Prof. Hung Soo Kim (Inha University, Korea, South)
|
| Co-convener(s) |
Prof. Taha B.M.J. Ouarda (Masdar Institute of Science and Technology, United Arab Emirates)
|
| Session Description |
The aim of this session is to bring together scientists and practitioners in the fields of statistical and stochastic climatology and hydrology and provide a forum for exchange of the latest developments in the fields. Presentations will be invited in the general topic of the development and application of statistical and stochastic tools in hydro-climatology. Presentations can deal, among others, with one of the following topics: statistical modeling of the impact of climate change in hydro-climatology, data acquisition validation and homogenization, ungauged sites, local and regional frequency analysis, statistical modeling of extremes, risk and reliability in hydro-climatology, and time series analysis. The focus of this session has particular relevance given the changes in the characteristics of extreme hydro-climatological events and the increased vulnerability of society to the impacts of these events. There is hence an increasingly critical need to understand and manage the hydro-climatological processes that control our environment. This session represents an opportunity for scientists and practitioners to meet and report on new ways in which statistical analyses can be integrated in an effective and useful manner in order to meet the challenges being faced in the field of hydro-climatology and handle the uncertainties that are due to the inherent randomness of the processes involved and to our inability to understand these processes completely. |
