Références

• Andriambeloson, J. A., Paris, A., Calmant, S., & Rakotondraompiana, S. (2020). Reinitiating depth-discharge monitoring in small-sized ungauged watersheds by combining remote sensing and hydrological modelling: A case study in Madagascar. Hydrological Sciences Journal, 65(16), 1–9. https://doi.org/10.1080/02626667.2020.1833013
   Web of Science ®Google Scholar
• Arnold, J. E. (1998). Large area hydrologic modeling and assessment part I: Model development. Journal of the American Water Resources Association, 34(1), 73–89. https://doi.org/10.1111/j.1752-1688.1998.tb05961.x
   Web of Science ®Google Scholar
• Biancamaria, S., Lettenmaier, D. P., & Pavelsky, T. M. (2016). The SWOT mission and its capabilities for land hydrology. Surveys in Geophysics, 37(2), 307–337. https://doi.org/10.1007/s10712-015-9346-y
   Web of Science ®Google Scholar
• Bogning, S., Frappart, F., Blarel, F., Niño, F., Mahé, G., Bricquet, J.-P., & Braun, -J.-J. (2018). Monitoring water levels and discharges using radar altimetry in an ungauged river basin: The case of the ogooué. Remote Sensing, 10(3), 350. https://doi.org/10.3390/rs10020350
   Google Scholar
• Garambois, P. A., Calmant, S., Roux, H., Paris, A., Monnier, J., Finaud‐Guyot, P., & Santos da Silva, J. (2017). Hydraulic visibility: Using satellite altimetry to parameterize a hydraulic model opf an ungauged reach of a braided river. Hydrological Processes, 31(4), 756–767. https://doi.org/10.1002/hyp.11033
   Web of Science ®Google Scholar
• Huang, Q., Long, D., Du, M., Han, Z., & Han, P. (2020). Daily continuous river discharge estimation for ungauged basins using a hydrological model calibrated by satellite altimetry: Implications for the SWOT Mission. Water Resources Research, 56, 537–546. https://doi.org/10.1029/2020WR027309
   Google Scholar
• Le Moine, N. (2008). Le bassin versant vu par le souterrain: Une voie d’amélioration des performances et du réalisme des modèles pluie-débit ?, Ph.D., Université Pierre et Marie Curie, École Doctorale 398 Géosciences et Ressources Naturelles, France, 348 pp.
   Google Scholar
• Lebel, T., Taupin, J., & D’Amato, N. (1997). Rainfall monitoring during HAPEX-sahel. 1. General rainfall conditions and climatology. Journal of Hydrology, 188-189, 74–96. https://doi.org/10.1016/S0022-1694(96)03155-1
   Web of Science ®Google Scholar
• Li, J., & Heap, A. (2008). A review of Spatial Interpolation Methods for environmental scientists. Geoscience Australia, GPO Box 378, Canberra, ACT 2601, Australia, 137pp. https://www.researchgate.net/publication/246546630_A_Review_of_Spatial_Interpolation_Methods_for_Environmental_Scientists
   Google Scholar
• Paiva, R., Buarque, D., Collischonn, W., Bonnet, M.-P., & Frappart, F. (2013). Large-scale hydrological and hydrodynamic modelling of the Amazon river basin. Water Resources Research, American Geophysical Union, 49(3), 1226–1243. https://doi.org/10.1002/wrcr.20067
   Google Scholar
• Paris, A. (2015). Utilisation conjointe de données d’altimétrie satellitaire et de modélisation pour le calcul des débits distribués dans le bassin amazonien. Hydrologie. Université Paul Sabatier.
   Google Scholar
• Paris, A., Dias de Paiva, R., Santos da Silva, J., Medeiros Moreira, D., Calmant, S., Garambois, P. A., & Seyler, F. (2016). Stage-discharge rating curves based on satellite altimetry and modeled discharge on the Amazon basin. Water Resources Research, 52(5), 3787–3814. https://doi.org/10.1002/2014WR016618
   Web of Science ®Google Scholar
• Satge, A., Defrance, D., Sultan, B., Bonnet, M.-P., Seyler, F., Rouché, N., Pierron, F., and Paturel, J. (2019). Evaluation of 23 gridded precipitation datasets across West Africa. Journal of Hydrology. 581, 124412. https://doi.org/10.1016/j.jhydrol.2019.124412
   Google Scholar
• Vörösmarty, C., Askew, A., Grabs, W., Barry, R., Birkett, C., Döll, P., … Webster, F. (2001). Global water data: A newly endangered species. Eos, Transactions American Geophysical Union, 82(5), 54–58. https://doi.org/10.1029/01EO00031
   Google Scholar