Advancing Land Surface Models for Hydrological and Environmental Applications
Advancing Land Surface Models for Hydrological and Environmental Applications
Session ID#: 119722
Session Description:
Land surface modeling has become an important tool for providing hydrological and environmental data. This session will highlight the latest developments in land surface models (LSMs), diagnosis techniques and datasets. We encourage contributions in: (1) Model developments and improvements that address pressing issues facing the hydrology and earth science communities; (2) diagnosis and analysis that help improve simulation of land surface processes; (3) Innovative approaches for model calibration and improvement through various techniques including data assimilation, artificial intelligence, machine learning and big data, and (4) development of atmospheric forcing and other parameter datasets for large-scale land surface modeling.
Index Terms:
1804 Catchment [HYDROLOGY]
1833 Hydroclimatology [HYDROLOGY]
1836 Hydrological cycles and budgets [HYDROLOGY]
1843 Land/atmosphere interactions [HYDROLOGY]
Primary Convener: Bailing Li, NASA GSFC, Greenbelt, MD, United States
Conveners: Jifu Yin, NOAA College Park, NESDIS-STAR/University of Maryland CICS, College Park, MD, United States, Sujay V Kumar, NASA Goddard Space Flight Center, Greenbelt, MD, United States and Guo-Yue Niu, University of Arizona, Hydrology and Atmospheric Sciences, Tucson, AZ, United States
Primary Liaison: Bailing Li, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, United States
See more of: Hydrology