| Session Details | |
| Section | HS - Hydrological Sciences |
| Session Title | Spatiotemporal Modeling in Hydrology and Water Resources |
| Main Convener | Prof. Ke-Sheng Cheng (National Taiwan University, Taiwan) |
| Co-convener(s) | Prof. Yasuto Tachikawa (Kyoto University, Japan) Dr. Alan Seed (Bureau of Meteorology, Australia) Dr. V. Chandrasekar (Colorado State University, United States) Prof. Daniel Schertzer (University Paris-Est, France) Prof. Masayuki Maki (Kagoshima University, Japan) |
| Session Description | All hydrological phenomena exhibit both spatial and temporal variations. As a result, many hydrological analyses require spatiotemporal modeling of the hydrological processes. For example, stream flow time series at multiple stations are required for a sound practice of regional water management. A key issue of the spatiotemporal modeling lies on the co-variations of multiple variables, in the time, space, and time-space domains. Many studies have demonstrated that hydrological analyses which consider the temporal and spatial variations can provide more insightful understanding and details of the phenomena under investigation. With the advent of computational capability, demands for detailed spatiotemporal modeling of hydrological processes have been steadily growing. In this session, we will focus on, but not limit to, the following topics: (i) Theoretical developments of the spatiotemporal modeling, (ii) Hydrological and water resources applications of the spatiotemporal modeling techniques, (iii) Modeling and parameter estimation of the co-variation functions and copulas, (iv) Probabilistic risk assessments in hydrology and water resources based on the results of spatiotemporal modeling, (v) Stochastic spatiotemporal simulation, (vi) Techniques for graphical demonstration of the spatiotemporal modeling results, and (vii) Geostatistics and time series analysis. A special issue of the Terrestrial Atmospheric and Oceanic Sciences (an SCI journal) in being planned and papers presented in this session will be invited for contribution to the special issue, pending the journal’s regular review process. |