| Session Details | |
| Section | HS - Hydrological Sciences |
| Session Title | At the Edge of Hydrology: Natural- and Human-induced Changes in Fluxes Across the Land-ocean and Land-atmosphere Interfaces with Impacts on Global and Regional Water Cycle |
| Main Convener | Prof. Min-Hui Lo (National Taiwan University, Taiwan) |
| Co-convener(s) | Dr. John Reager (Jet Propulsion Laboratory, California Institute of Technology, United States) Prof. Wenhong Li (Duke Univ, United States) Prof. Hyungjun Kim (U-Tokyo, Japan) |
| Session Description | As water moves through the three major components (land, ocean, and the atmosphere) of the climate system, changes in these components are integrated in a complex set of physical processes. Enhanced knowledge of water and energy transfer across the interfaces between atmosphere-land and land-ocean can improve regional and global hydrology simulations, climate simulations and sea-level change predictions. Furthermore, quantifying the contributions and components of sea-level rise is important to understanding current and future climate change impacts. However, the impacts of natural- and human-induced changes in the spatiotemporal variability of the regional and global water cycle (including to sea-level changes) have not been fully addressed in a comprehensive manner, which is also a major scientific challenge for the community. For instance, the absence of the human fingerprint of water management in model results in unrealistic simulations of the water cycle and sea level changes. Here we solicit recent advancement in models and observational efforts on this topic from the hydrology, atmosphere, and ocean and coupled modeling communities, including groundwater discharge to the ocean, river discharge in the coastal ocean, and climate modeling communities. This session also solicits papers focusing on the exchange of water and energy in the land-atmosphere-ocean system, as well as the relevant mechanisms controlling the natural and anthropogenic-related water fluxes in climate processes from analyses of observations and model simulations. |