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SWOT water management applications PI: Dennis P. Lettenmaier (University of Washington)

SWOT water management applications PI: Dennis P. Lettenmaier (University of Washington).

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SWOT water management applications PI: Dennis P. Lettenmaier (University of Washington)

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  1. SWOT water management applications PI: Dennis P. Lettenmaier (University of Washington) Application question: : How can SWOT data best be exploited to provide a more scientific basis for water management, especially in a) transboundary rivers, and b) river basins for which key hydrologic variables are poorly observed by in situ networks? Science question : What have been the interannual and interseasonal dynamics of water stored in manmade reservoirs globally over the last century, and how can SWOT measurements best be integrated with global modeling strategies to provide better estimates of those quantities in the future?

  2. Ganges/Brahma-putratransboundary water level prediction using altimetry data from Biancamaria et al., GRL 2011

  3. 11 cycles sampling (~8 months)

  4. SWOT data assimilation (every 12 days) in a reservoir model to improve the representation of reservoir levels and then make more efficient dam releases Markala forcings Selingue (2.109 m3) Fomi (2020, 6.106 m3) VIC Upper Niger river basin SWOT data assimilation (ZSWOT) Qin Reservoir model (Z) Reservoir rule (Zrule) dam release Qout

  5. SWOT data assimilation (water level and surface extent) in a hydrodynamic model of the upper Niger river including the Inner Delta to improve reservoir rule (dam release curve) forcings VIC Qin Inner Delta Reservoir model (Z) Reservoir rule (Zrule) Qrelease SWOT data assimilation (ZSWOT) Hydrodynamic model (Z,Q) Qout Selingue

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