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  • Alfieri, L., P. Burek, E. Dutra, B. Krzeminski, D. Muraro, J. Thielen, and F. Pappenberger (2013), GloFAS—Global ensemble streamflow forecasting and flood early warning, Hydrol. Earth Syst. Sci., 17, 11611175.
  • Andreadis, K. M., G. J.-P. Schumann, and T. Pavelsky (2013), A simple global river bankfull width and depth database, Water Resour. Res., doi:10.1002/wrcr.20440, in press.
  • Asante, K. O., R. M. Dezanove, G. Artan, R. Lietzow, and J. Verdin (2007), Developing a flood monitoring system from remotely sensed data for the Limpopo basin, IEEE Trans. Geosci. Remote Sens., 45, 17091714.
  • Asante, K. O., A. G. Artan, S. Pervez, and J. Rowland (2008), A linear geospatial streamflow modeling system for data sparse environments, Int. J. River Basin Manage., 6, 233241.
  • Bates, P. D., M. S. Horritt, and T. J. Fewtrell (2010), A simple inertial formulation of the shallow water equations for efficient two dimensional flood inundation modelling, J. Hydrol., 387, 3345.
  • Beilfuss, R., and D. Dos Santos (2001), Patterns of hydrological change in the Zambezi Delta, Mozambique, Working Paper 2, Program for the Sustainable Management of Cahora Bassa Dam and The Lower Zambezi Valley, International Crane Foundation, Sofala, Mozambique.
  • Berger, H. E. J. (1991), Flood forecasting for the River Meuse, in Hydrology for the Water Management of Large River Basins, vol. 201, edited by F. H. M. van de Ven et al., pp. 317328, Inst. of Hydrol., Wallingford, U. K.
  • Beven, K. (2006), A manifesto for the equifinality thesis, J. Hydrol., 320, 1836.
  • Biemans, H., R. Hutjes, P. Kabat, B. Strengers, D. Gerten, and S. Rost (2009), Impacts of precipitation uncertainty on discharge calculations for main river basins, J. Hydrometeorol., 10, 10111025.
  • Blyth, K. (1997), Floodnet: A telenetwork for acquisition, processing and dissemination of Earth observation data for monitoring and emergency management of floods, Hydrol. Processes, 11, 13591375.
  • Buizza, R. (2006), The ECMWF Ensemble Prediction System, in Predictability of Weather and Climate, edited by T. Palmer and R. Hagedorn, pp. 459488, Cambridge Univ. Press, Cambridge, U. K.
  • Cloke, H. L., and F. Pappenberger (2009), Ensemble flood forecasting: A review, J. Hydrol., 375, 613626.
  • Cohen Liechti, T., J. P. Matos, J.-L. Boillat, and A. J. Schleiss (2012), Comparison and evaluation of satellite derived precipitation products for hydrological modeling of the Zambezi river basin, Hydrol. Earth Syst. Sci., 16, 489500.
  • de Almeida, G. A. M., P. D. Bates, J. E. Freer, and M. Souvignet (2012), Improving the stability of a simple formulation of the shallow water equations for 2-D flood modeling, Water Resour. Res., 48, W05528, doi:10.1029/2011WR011570.
  • Dee, D. P., et al. (2011), The ERA-Interim reanalysis: Configuration and performance of the data assimilation system, Q. J. R. Meteorol. Soc., 137, 553597.
  • Di Baldassarre, G., G. Schumann, L. Brandimarte, and P. Bates (2011), Timely low resolution SAR imagery to support floodplain modelling: A case study review, Surv. Geophys., 32, 255269.
  • Di Giuseppe, F., F. Molteni, and A. M. Tompkins (2012), A rainfall calibration methodology for impacts modelling based on spatial mapping, Q. J. R. Meteorol. Soc., 139, 13891401, doi:10.1002/qj.2019.
  • Gaughan, A. E., and P. R. Waylen (2012), Spatial and temporal precipitation variability in the OkavangoKwandoZambezi catchment, southern Africa, J. Arid Environ., 82, 1930.
  • Gouweleeuw, B. T., J. Thielen, G. Franchello, A. P. J. De Roo, and R. Buizza (2005), Flood forecasting using medium-range probabilistic weather prediction, Hydrol. Earth Syst. Sci., 9, 365380.
  • Hall, A. C., G. J-P. Schumann, J. L. Bamber, P. D. Bates, and M. A. Trigg (2012), Geodetic corrections to Amazon River water level gauges using ICESat altimetry, Water Resour. Res., 48, W06602, doi:10.1029/2011WR010895.
  • Herschy, R. W., E. C. Barrett, and J. N. Roozekrans (1985), Remote sensing in hydrology and water management, final report, ESA Contract No. 5769/A84/D/JS(Sc), Eur. Assoc. of Remote Sens. Lab. (EARSeL) Working Group 10, Eur. Space Agency, Paris, France.
  • Huffman, G. J., R. F. Adler, D. T. Bolvin, G. Gu, E. J. Nelkin, K. P. Bowman, Y. Hong, E. F. Stocker, and D. B. Wolff (2007), The TRMM Multisatellite Precipitation Analysis (TMPA): Quasi-global, multiyear, combined-sensor precipitation estimates at fine scales, J. Hydrometeorol., 8, 3855.
  • Huffman, G. J., R. F. Adler, D. T. Bolvin, and E. J. Nelkin (2010), The TRMM Multi-satellite Precipitation Analysis (TMPA), in Satellite Rainfall Applications for Surface Hydrology, edited by F. Hossain and M. Gebremichael, pp. 322, Springer, New York.
  • Karlsson, J. M., and W. Arnberg (2011), Quality analysis of SRTM and HYDRO1K: A case study of flood inundation in Mozambique, Int. J. Remote Sens., 32, 267285.
  • Lehner, B., K. Verdin, and A. Jarvis (2008), New global hydrography derived from spaceborne elevation data, Eos Trans. AGU, 89, 9394.
  • Leopold, L. B., and T. Maddock (1953), Hydraulic geometry of stream channels and some physiographic implications, U.S. Geol. Surv. Prof. Pap. 252, Washington, D. C.
  • Liang, X., D. P. Lettenmaier, E. F. Wood, and S. J. Burges (1994), A simple hydrologically based model of land surface water and energy fluxes for general circulation models, J. Geophys. Res., 99, 14,41514,428.
  • Liong, S.-Y., W.-H. Lim, T. Kojiri, and T. Hori (2000), Advance flood forecasting for flood stricken Bangladesh with a fuzzy reasoning method, Hydrol. Processes, 14, 431448.
  • McFeeters, S. K. (1996), The use of the normalized difference water index (NDWI) in the delineation of open water features, Int. J. Remote Sens., 17, 14251432.
  • Meier, P., A. Froemelt, and W. Kinzelbach (2011), Hydrological real-time modelling in the Zambezi river basin using satellite-based soil moisture and rainfall data, Hydrol. Earth Syst. Sci., 15, 9991008.
  • Mendoza, P. A., J. McPhee, and X. Vargas (2012), Uncertainty in flood forecasting: A distributed modeling approach in a sparse data catchment, Water Resour. Res., 48, W09532, doi:10.1029/2011WR011089.
  • Michailovsky, C. I., S. McEnnis, P. A. M. Berry, R. Smith, and P. Bauer-Gottwein (2012), River monitoring from satellite radar altimetry in the Zambezi River basin, Hydrol. Earth Syst. Sci., 16, 21812192.
  • Mondlane, A. I. (2005), Integrated risk response techniques in emergency situations: The Mozambique floods case simulations, WIT Trans. Ecol. Environ., 84, 11891197.
  • Neal, J. C., T. J. Fewtrell, and M. A. Trigg (2009), Parallelisation of storage cell flood models using OpenMP, Environ. Modell. Software, 24(7), 872877.
  • Neal, J., I. Villanueva, N. Wright, T. Willis, T. Fewtrell, and P. Bates (2012a), How much physical complexity is needed to model flood inundation? Hydrol. Processes, 26, 22642282.
  • Neal, J. C., G. Schumann, and P. D. Bates (2012b), A subgrid channel model for simulating river hydraulics and floodplain inundation over large and data sparse areas, Water Resour. Res., 48, W11506, doi:10.1029/2012WR012514.
  • Nijssen, B., G. M. O'Donnell, D. P. Lettenmaier, D. Lohmann, and E. F. Wood (2001), Predicting the discharge of global rivers, J. Clim., 14, 33073323.
  • Paiva, R. C. D., W. Collischonn, and C. E. M. Tucci (2011), Large scale hydrologic and hydrodynamic modelling using limited data and a GIS based approach, J. Hydrol., 406, 170181.
  • Paiva, R. C. D., W. Collischonn, and D. C. Buarque (2013), Validation of a full hydrodynamic model for large-scale hydrologic modelling in the Amazon, Hydrol. Processes, 27, 333346.
  • Pappenberger, F., K. J. Beven, N. Hunter, B. Gouweleeuw, P. Bates, A. De Roo, and J. Thielen (2005), Cascading model uncertainty from medium range weather forecasts (10 days) through a rainfall-runoff model to flood inundation predictions within the European Flood Forecasting System (EFFS), Hydrol. Earth Syst. Sci., 9(4), 381393.
  • Pappenberger, F., E. Dutra, F. Wetterhall, and H. Cloke (2012), Deriving global flood hazard maps of fluvial floods through a physical model cascade, Hydrol. Earth Syst. Sci., 16, 41434156.
  • Park, C. C. (1977), World-wide variations in hydraulic geometry exponents of stream channels: An analysis and some observations, J. Hydrol., 33, 133146.
  • Pavelsky, T., and L. Smith (2008), Rivwidth: A software tool for the calculation of river widths from remotely sensed imagery, IEEE Geosci. Remote Sens. Lett., 5, 7073.
  • Romanowicz, R. J., P. C. Young, K. J. Beven, and F. Pappenberger (2008), A data based mechanistic approach to nonlinear flood routing and adaptive flood level forecasting, Adv. Water Resour., 31, 10481056.
  • Schaner, N., N. Voisin, B. Nijssen, and D. P. Lettenmaier (2012), The contribution of glacier melt to streamflow, Environ. Res. Lett., 7, 034029, doi:10.1088/1748-9326/7/3/034029.
  • Sheffield, J., G. Goteti, and E. F. Wood (2006), Development of a 50-yr high-resolution global dataset of meteorological forcings for land surface modeling, J. Clim., 19, 30883111.
  • Shela, O. N. (2000), Management of shared river basins: The case of the Zambezi River, Water Policy, 2, 6581.
  • Simmons, A. J., and A. Hollingsworth (2002), Some aspects of the improvement in skill of numerical weather prediction, Q. J. R. Meteorol. Soc., 128, 647677.
  • Stal, M. (2009), Mozambique. Case study report, EC FP6 Project EACH-FOR, European Commission, Brussels, Belgium. [Available at http://www.each-for.eu.]
  • Stal, M. (2011), Flooding and relocation: The Zambezi river valley in Mozambique, Int. Migration, 49, 125145.
  • The World Bank (2006), Lower Zambezi river basin baseline data on landuse, biodiversity, and hydrology, Draft Rep. 2, Washington, D. C.
  • Thielen, J., J. Bartholmes, M.-H. Ramos, and A. De Roo (2009), The European Flood Alert System part 1: Concept and development, Hydrol. Earth Syst. Sci., 13, 125140.
  • UNESCO (2012), Discharge of Selected Rivers of the World, Paris, France. [Available at http://webworld.unesco.org/water/ihp/db/shiklomanov/.]
  • Voisin, N., A. W. Wood, and D. P. Lettenmaier (2008), Evaluation of precipitation products for global hydrological prediction, J. Hydrometeorol., 9, 388407.
  • Voisin, N., J. C. Schaake, and D. P. Lettenmaier, (2010), Calibration and downscaling methods for quantitative ensemble precipitation forecasts, Weather Forecasting, 25, 16031627.
  • Voisin, N., F. Pappenberger, D. P. Lettenmaier, R. Buizza, and J. C. Schaake (2011), Application of a medium-range global hydrologic probabilistic forecast scheme to the Ohio River basin, Weather Forecasting, 26, 425446.
  • Vorosmarty, C. J., and B. Moore (1991), Modeling basin-scale hydrology in support of physical climate and global biogeochemical studies: An example using the Zambezi River, Surv. Geophys., 12, 271311.
  • Werner, M., P. Reggiani, A. De Roo, P. Bates, and E. Sprokkereef (2005), Flood forecasting and warning at the river basin and at the European scale, Nat. Hazards, 36, 2542.
  • Winsemius, H. C., H. H. G. Savenije, A. M. J. Gerrits, E. A. Zapreeva, and R. Klees (2006), Comparison of two model approaches in the Zambezi River basin with regard to model reliability and identifiability, Hydrol. Earth Syst. Sci., 10, 339352.
  • Winsemius, H. C., L. P. H. Van Beek, B. Jongman, P. J. Ward, and A. Bouwman (2013), A framework for global river flood risk assessments, Hydrol. Earth Syst. Sci., 17, 18711892.
  • WMO (2009), Regional consultation meeting on Zambezi River basin flood forecasting and early warning strategy and WMO Information System (WIS) and WIGOS pilot project, final report, WMO and USAID, Maputo, Mozambique, Africa, 15 Dec. 2009, World Meteorological Organization (WMO), Geneva, Switzerland.
  • Yamazaki, D., S. Kanae, H. Kim, and T. Oki (2011), A physically based description of floodplain inundation dynamics in a global river routing model, Water Resour. Res., 47, W04501, doi:10.1029/2010WR009726.
  • Zwally, H. J., et al. (2002), ICESat's laser measurements of polar ice, atmosphere, ocean, and land, J. Geodyn., 34, 405445.