H115
Remote Sensing and Modeling of the Terrestrial Water Cycle
Remote Sensing and Modeling of the Terrestrial Water Cycle
Session ID#: 75331
Session Description:
Hydrologic models and remote sensing are essential tools for studying the changing nature of the terrestrial water cycle. Advances in the areas of remote sensing and modeling allowed the integration of these two approaches and the use of multiple sensors and variables simultaneously to better understand the spatial and temporal dynamics of the water cycle and the available water resources at various scales. Some of the major missions proven valuable for hydrologic modeling include SMAP, SMOS, AMSR2, TRMM, GPM, TOPEX, SWOT, AIRS/AMSU, GRACE and MODIS. This session aims to share the latest developments in hydrologic modeling and use of remote sensing for monitoring and estimation of hydrological variables, discuss the challenges and possible solutions, and present future research and application directions. We invite multi-scale, multi-variable and multi-sensor studies that use remote sensing techniques and modeling approaches to assess the spatiotemporal variability in water resources and study the terrestrial water cycle.
Co-Sponsor(s):
- WCRP: World Climate Research Programme -
Index Terms:
1816 Estimation and forecasting [HYDROLOGY]
1836 Hydrological cycles and budgets [HYDROLOGY]
1847 Modeling [HYDROLOGY]
1855 Remote sensing [HYDROLOGY]
Primary Convener: Iliana E Mladenova, NASA Goddard Space Flight Center, Greenbelt, MD, United States and venkat lakshmi
Conveners: Venkat Lakshmi, Professor, University of Virginia, Charlottesville, VA, United States, Sayed M. Bateni, University of Hawaii at Manoa, Honolulu, HI, United States and venkat lakshmi
Primary Liaison: Iliana E Mladenova, USDA/ARS BARC-W, Bldg 007, Beltsville, MD, United States and venkat lakshmi
See more of: Hydrology
