Session Details | |
Section | HS - Hydrological Sciences |
Session Title | Water Cycle Observational and Satellite Remote Sensing Data Products and Their Applications |
Main Convener | Dr. Marouane Temimi (Masdar Institute, United Arab Emirates) |
Co-convener(s) | Prof. Jun Wen (Chengdu University of Information Technology, China) Prof. Chenghai Wang (Lanzhou University, China) Dr. Xiwu Zhan (National Oceanic and Atmospheric Administration, United States) |
Session Description | Observations from AMSR-E and MODIS of NASA EOS satellites have been serving the science community and the public with data products of water cycle components such precipitation, snow and ice, soil moisture, evapotranspiration, ground water, etc, since 2002. The AMSR-2 on JAXA’s GCOM-W1 and the VIIRS on Suomi-NPP and JPSS satellites of NASA and NOAA are or will serve the legacy of AMSR-E and MODIS continuously. The NASA GRACE satellites have been providing continental scale ground water storage observations since 2002 and the GRACE Follow-On (GRACE-FO) mission is planned for launch in 2017. ESA and NASA have launched the SMOS and SMAP satellites respectively in 2009 and 2015. The Advanced Himawari Imager (AHI) on Japanese geostationary weather satellite Himawari-8 has been providing high temporal observations since October 2014. In addition, NOAA launched its next generation geostationary weather satellite GOES-R. Many ground observation networks have been built up for validating these satellite remote sensing products. These significant increases in the availability of remote sensing data precipitation, snow, soil moisture, land use/land cover, evapotranspiration, land surface temperature etc have contributed dramatically to the advances of hydrological sciences and their applications. Many government agencies (such as NASA, NOAA, ESA, EUMETSAT, JAXA, CMA, JMA, KMA, etc), academic and industrial institutions or organization have developed various satellite data products for hydrological applications. This session invites abstracts addressing the development, validation and applications of these data products in the recent years. New development on land surface process observation, data fusion, data assimilation, hydrological hazards monitoring, climate and environmental changes at regional and global scales are especially encouraged. |