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The National Center for Hydrologic Synthesis (NCHS) @ Berkeley. HIS Symposium, March 7-9, 2005. Overview. NCHS Concepts, Organization, Working Groups, Partners, Budget Susan Hubbard, LBNL and UCB CHAI: Enabling synthesis through advanced infrastructure Norm Miller, LBNL and UA
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HIS Symposium, March 7-9, 2005
Susan Hubbard, LBNL and UCB
It is now clearly documented that the 20th Century hydrology paradigm is inadequate in face of the increase in number, severity, complexity and the scale of the water-related science questions facing the world. There are several Agents of Change that serve as drivers of the Modern Hydrology Paradigm
1. Emergence of continental and global-scale problems.
2. Interconnectedness of nature and the changes caused by humans.
CUAHSI identified the need for a Synthesis Center as part of the HydroView Framework to address some of these research needs.
NCHS SEQUENCE OF EVENTS
Interdisciplinary research teams, with participation from the hydrological, earth, life, atmospheric/climate, social sciences and engineering arenas;
that will allow NCHS researchers to develop and test new theories and models; to access dynamic databases and HIS products; and to communicate results and effectively collaborate with others.
NCHS will begin to solicit input from the community about potential IRA topics in the near future
(Lead: George Hornberger)
(Lead: Witold Krajewski)
(Lead: Henry Vaux)
CHAI Planning Group:Computational Hydrology, data Assimilation, and InfrastructureIt is critically important that NCHS relieve the synthesis researchers of the burden of implementing and accessing the advanced tools needed for computation and collaboration;
Yearly Budget: ~$4.3 to 7.4 Million
Five Year NCHS Budget: $ 28 Million
Growth concomitant with increased NCHS and co-managed activity
Diana Rhoten, Social Science Research Council
Components of Multi-Target Mission
Principles of Education and Outreach
Hydrologic synthesis is data driven and requires process level conceptualization across scales
Integrating Multidisciplinary Hydrologic Sciencethrough advances in Modeling and Data Assimilation
Water Level (H)
A-V, H-V, H-A
Utilize Remote Sensed Data to Estimate Water Storage
GTOPO30 ( USGS )
GLOBE ( NOAA )
Utilize HIS Data to Drive Hydrologic Models
Input data are integrated using GIS
HighPlain aquifer, USA