Advancing river modelling in ungauged basins using satellite remote sensing: the case of the Ganges–Brahmaputra–Meghna basin

References

• Akanda, A.S., 2012. South Asia's water conundrum: hydro-climatic and geopolitical asymmetry, and brewing conflicts in the Eastern Himalayas. International Journal of River Basin Management, 10 (4), 307–315. doi:10.1080/15715124.2012.727824.
   Google Scholar
• Alsdorf, D.E. and Lettenmaier, D.P., 2003. Geophysics: tracking fresh water from space. Science, 301 (5639), 1491–1494. doi:10.1126/science.1089802.
   PubMed Web of Science ®Google Scholar
• Alsdorf, D.E., Rodriguez, E., and Lettenmaier, D.P., 2007. Measuring surface water from space. Reviews of Geophysics, 45 (2), 1–24. doi:10.1029/2006RG000197.
   Web of Science ®Google Scholar
• Balthrop, C. and Hossain, F., 2010. A review of state of the art on treaties in relation to management of transboundary flooding in international river basins and the global precipitation measurement mission. Water Policy. doi:10.2166/wp.2009.117.
   Web of Science ®Google Scholar
• Birkett, C.M., 1995. The contribution of Topex/Poseidon to the global monitoring of climatically sensitive lakes. Journal of Geophysical Research, 100 (C12), 25179–25204. doi:10.1029/95JC02125.
   Web of Science ®Google Scholar
• Birkett, C.M., 1998. Contribution of the TOPEX NASA radar altimeter to the global monitoring of large rivers and wetlands. Water Resources Research, 34 (5), 1223–1239. doi:10.1029/98WR00124.
   Web of Science ®Google Scholar
• Brakenridge, G.R., et al., 2007. Orbital microwave measurement of river discharge and ice status. Water Resources Research, 430 (4). doi:10.1029/2006WR005238.
   Web of Science ®Google Scholar
• Frappart, F., et al., 2006. Preliminary results of ENVISAT RA-2-derived water levels validation over the Amazon basin. Remote Sensing of Environment, 100, 252–264. doi:10.1016/j.rse.2005.10.027
   Web of Science ®Google Scholar
• Hirpa, F.A., et al., 2012. Upstream satellite remote sensing for river discharge prediction: application to major rivers in South Asia. Remote Sensing of the Environment. doi:10.1016/j.rse.2012.11.013.
   Web of Science ®Google Scholar
• Hopson, T.M. and Webster, P.J., 2010. A 1-10 day ensemble forecasting scheme for the major river basins of Bangladesh: forecasting severe floods of 2003-2007. Journal of Hydrometeorology, 11, 618–641. doi:10.1175/2009JHM10061.
   Web of Science ®Google Scholar
• Horritt, M.S. and Bates, P.D., 2002. Evaluation of 1D and 2D numerical models for predicting river flood inundation. Journal of Hydrology, 268 (1), 87–99. doi: 10.1016/S0022-1694(02)00121-X
   Web of Science ®Google Scholar
• Hossain, F. and Katiyar, N., 2006. Improving flood forecasting in international river basins. EOS (AGU), 87 (5), 49–50.
   Google Scholar
• Hossain, F. and Lettenmaier, D.P., 2006. Flood prediction in the future: recognizing hydrologic issues in anticipation of the global precipitation measurement mission. Water Resources Research, 42, W11301. doi:10.1029/2006WR005202.
   Web of Science ®Google Scholar
• Hossain, F., et al., 2013. Proof of concept of altimeter-based forecasting system for transboundary flooding. IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, 7 (2), 587–601. doi:10.1109/JSTARS.2013.2283402.
   Web of Science ®Google Scholar
• Hossain, F., et al., 2014. A guide for crossing the valley of death: lessons learned from making a satellite based flood forecasting system operational and independently owned by a stakeholder agency. Bulletin of American Meteorological Society (BAMS), 95 (8), 1201–1207. doi:10.1175/BAMS-D-13-00176.1.
   Web of Science ®Google Scholar
• Katiyar, N. and Hossain, F., 2007. An open-book watershed model for prototyping space-borne flood monitoring systems in international river basins. Environmental Modeling and Software, 22 (12), 1720–1731. doi:10.1016/j.envsoft.2006.12.005.
   Web of Science ®Google Scholar
• Jia, Y. and Wang, S., 1999. Numerical model for channel flow and morphological change studies. Journal of Hydraulic Engineering, 125 (9), 924–933. doi: 10.1061/(ASCE)0733-9429(1999)125:9(924)
   Web of Science ®Google Scholar
• Lee, H., et al., 2009. Louisiana wetland water level monitoring using retracked TOPEX/POSEIDON altimetry. Marine Geodesy, 32 (3), 284–302. doi: 10.1080/01490410903094767
   Web of Science ®Google Scholar
• Lee, H., et al., 2010. Characterization of surface water storage change in Arctic lakes using simulated SWOT measurements. International Journal of Remote Sensing, 31 (3), 931–3953.
   Google Scholar
• Liang, X., et al., 1994. A simple hydrologically based model of land surface water and energy fluxes for GSMs. Journal of Geophysical Research, 99 (D7), 14415–14428. doi:10.1029/94JD00483.
   Web of Science ®Google Scholar
• Lohmann, D., et al., 1998. Regional scale hydrology: I. formulation of the VIC-2L model coupled to a routing model. Hydrological Sciences Journal, 43 (1), 131–141. doi:10.1080/02626669809492107.
   Web of Science ®Google Scholar
• Matthews, E. and Fung, I., 1987. Methane emission from natural wetlands: global distribution, area, and environmental characteristics of sources. Global Biogeochemical Cycles, 1 (1), 61–86. doi:10.1029/GB001i001p00061.
   Google Scholar
• Moller-Jensen, L., 1990. Knowledge-based classification of an urban area using texture and context information in Landsat-TM imagery. Photogrammetric Engineering and Remote Sensing, 56 (6), 899–904.
   Web of Science ®Google Scholar
• Munier, S., et al., 2015. SWOT data assimilation for reservoir operations in the upper Niger River basin. Water Resources Research, 51, 554–575. doi:10.1002/2014WR016157.
   Web of Science ®Google Scholar
• Parua, P.K., 2003. Flood management in Ganga-Brahmaputra-Meghna basin: some aspects of regional co-operation. ASCE-IS, Mar./Apr.
   Google Scholar
• Pavelsky, T.M., et al., 2014. Assessing the potential global extent of SWOT river discharge observations. Journal of Hydrology, 519 (Part B, 27), 1516–1525. doi: 10.1016/j.jhydrol.2014.08.044
   Web of Science ®Google Scholar
• Prigent, C., et al., 2001. Remote sensing of global wetland dynamics with multiple satellite data sets. Geophysical Research Letters, 28 (24), 4631–4634. doi:10.1029/2001GL013263.
   Web of Science ®Google Scholar
• Schumann, G., et al., 2009. Progress in integration of remote sensing-derived flood extent and stage data and hydraulic models. Reviews of Geophysics, 47 (4). doi:10.1029/2008RG000274.
   Web of Science ®Google Scholar
• Sheffield, J., Goteti, G., and Wood, E.F., 2006. Development of a 50-year high-resolution global dataset of meteorological forcings for land surface modeling. Journal of Climate, 19 (3), 3088–3111. doi:10.1175/JCLI3790.1
   Web of Science ®Google Scholar
• Shrestha, K.Y., Webster, P.J., and Toma, V.E., 2014. An atmospheric–hydrologic forecasting scheme for the Indus river basin. Journal of Hydrometeorology, 15, 861–890. doi:10.1175/JHM-D-13-051.1
   Web of Science ®Google Scholar
• Siddique-E-Akbor, A.H.M., et al., 2011. Inter-comparison study of water level estimates derived from hydrodynamic–hydrologic model and satellite altimetry for a complex deltaic environment. Remote Sensing of Environment, 115 (6), 1522–1531. doi:10.1016/j.rse.2011.02.011.
   Web of Science ®Google Scholar
• Siddique-E-Akbor, A.H.M., et al., 2014. Satellite precipitation data driven hydrologic modeling for water resources management in the Ganges, Brahmaputra and Meghna basins. Earth Interactions, 18 (17), 1–25. doi:10.1175/EI-D-14-0017.1.
   Web of Science ®Google Scholar
• Sikder, S. and Hossain, F. 2014. Understanding and minimizing the geophysical sources of uncertainty of satellite interferometric-based discharge estimation. IEEE Journal of Selected Topics in Applied Remote Sensing (JSTARS). doi:10.1109/JSTARS.2014.2326893.
   Google Scholar
• Vörösmarty, C.J., et al., 2009. Battling to save the world's river deltas. Bulletin of the Atomic Scientists, 65 (2), 31–43. doi:10.2968/065002005.
   Web of Science ®Google Scholar
• Webster, P.J., et al., 2010. Extended-range probabilistic forecasts of Ganges and Brahmaputra floods in Bangladesh. Bulletin of the American Meteorological Society, 91 (11), 1493–1514. doi:10.1175/2010BAMS2911.1.
   Web of Science ®Google Scholar
• Woldemichael, A.T., et al., 2010. Role of land-water classification and manning's roughness parameter in space-borne estimation of discharge for braided rivers: a case study of the Brahmaputra River in Bangladesh. IEEE Special Topics in Applied Remote Sensing and Earth Sciences, 3 (3), 395–403. doi:10.1109/JSTARS.2010.2050579.
   Google Scholar
• Wolf, A., et al., 1999. International river basins of the world. International Journal of Water Resources Development, 15 (4), 387–427. doi:10.1080/07900629948682.
   Google Scholar