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Fresh water availability

How will coupled human and biophysical systems shape and be shaped by water availability?. Community input and refinement. Theory Algorithms Parameterizations. Experimentation Feedback analysis. Data fusion Spatial statistics Assimilation. Earth system models (CSDMS) CESM ESMICs.

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Fresh water availability

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  1. How will coupled human and biophysical systems shape and be shaped by water availability? Community input and refinement Theory Algorithms Parameterizations Experimentation Feedback analysis • Data fusion • Spatial statistics • Assimilation • Earth system models (CSDMS) • CESM • ESMICs Visualization Fresh water availability New data initiatives Mean Mean Mean Extremes Extremes Extremes • Data management • Selection • Provenance • Rectification • Scenario support • Simulation • Historical • Social science Water dimension Uncertainty Uncertainty Uncertainty Ecosystems Allocation Data ingestion • Data resources • CUAHSI HIS • World water online • GEOSS • DataONE • NASA/ESA/other • NEON • EarthCube • NSW/WMO/other • CoCoRaHS • Water managers • Army Corps • Social media Biological dimension Scenario prescription Human society • Data types • Precipitation • Atmos. H2O • Groundwater • Reservoir storage • River discharge • Water quality • Soil moisture • Other climate • LC/LU • Built infrastructure • Economic • Population • Ag/irrigation • Sap flux/tower ET • Human use • Physical hydrology Human dimension Time Now

  2. Data Needs • Heterogeneous ensemble of data – the more the better • Ground-based/network • Satellite • Model data • Social science data • Many component data sets and resources developed or in development – others require additional effort • Need comprehensive data quality and uncertainty info. • Data resources • CUAHSI HIS • World water online • GEOSS • DataONE • NASA/ESA/other • NEON • EarthCube • NSW/WMO/other • CoCoRaHS • Water managers • Army Corps • Social media • Data types • Precipitation • Atmos. H2O • Groundwater • Reservoir storage • River discharge • Water quality • Soil moisture • Other climate • LC/LU • Built infrastructure • Economic • Population • Ag/irrigation • Sap flux/tower ET • Human use • Physical hydrology

  3. Software Needs • Data use • Integration of heterogeneous data from multiple domains • Uncertainty • Provenance of data and workflows • Leverage existing workflow systems and data management initiatives • Software interoperability • Modeling and data assimilation software from multiple domains • Earth system modeling framework (e.g., NCAR) • User interaction with integrated data/model system • Streamline information extraction and solicitation through interactive visualization and scenario specification • See this as a major focus for development that could provide building blocks for other workflows

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