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SWOT mission, expectation for Tropical hydrology Stéphane CALMANT & Frédérique SEYLER

SWOT mission, expectation for Tropical hydrology Stéphane CALMANT & Frédérique SEYLER Columbus, Ohio, 15-17 Sept 2008. Tropical basins: large (transboundary) braided rivers, changing beds with floodplains and wetlands In practice, impossible to monitor by usual means

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SWOT mission, expectation for Tropical hydrology Stéphane CALMANT & Frédérique SEYLER

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  1. SWOT mission, expectation for Tropical hydrology Stéphane CALMANT & Frédérique SEYLER Columbus, Ohio, 15-17 Sept 2008

  2. Tropical basins: large (transboundary) braided rivers, changing beds with floodplains and wetlands In practice, impossible to monitor by usual means SWOT: catch every water body

  3. Rivers change course with time… SWOT: full coverage mapping of changes in river course

  4. Low waters High waters SWOT: inundated surfaces

  5. Floodplain under forest Huge volume x Low velocity  River discharge 2 km

  6. Flood plain dynamics Bonnet, M.P, et al. Floodplain hydrology in an Amazon floodplain lake (Lago Grande de Curuaí) Journal of Hydrology

  7. Floodplain vs main stem MS V Flood peak Flood fall Flood increase Low water V= Varzea MS= Main Stream

  8. Drawbacks of conventional nadir altimetry

  9. ENVISAT :hooking For small rivers SWOT: direct measurements

  10. SWOT: no off-nadir ranges ? Leakage/hooking over temporarily islets

  11. SWOT: High resolution of river altitude profile Caqueta River, Colombia Profile from national chart FARCs Guerilla Profile by sat altimetry VB

  12. SWOT: will improve the time and space sampling frequency to input in the modelling schemes

  13. Drawbacks of Gauges: SWOT will provide Complementary information

  14. Data of in situ gauges in international databases (exp Global Runoff Data Center) Date de fin des mesures ●<1980 ●1980-1984 ●1985-1990 ●1990-1994 ●1995-2000 ●2000-2004 ●<2004 NEED FOR A RAPIDE, UNRESTRICTED DISTRIBUTION OF THE SWOT DATA Number of active stations Global Runoff Data Center 1900 1980 2007

  15. Which height variations? Gauge is local SWOT: cross bed slope variations

  16. ANA: Hydrologic network optimization CNPq –UFAM: Sediment transport models CNPq – UnB: Floodplain processes and models ELECTRONORTE: Balbina dam CPRM : Extreme events management and prevision, underground water quality, fluvial geodynamics Long Term AMESD (African Monitoring of the Environment for Sustainable Development ): Congo-Oubangui-Sangha Basin management Future: ACTO - FFEM : Integrated and sustainable water management - AGIRE Madeira dams project

  17. SWOT will provide a full detection of the –now unmonitored- extent and level of each body in the complex river-wetland-inundated areas systems that are characteristic of tropical basins, without harming the temporal sampling, contrarily to conventional nadir altimetry.

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