REFERENCES
Allen, R.G., Pereira, L., Raes, D., & Smith, M., 1998. Crop Evapotranspiration, Food and Agriculture Organization of the United Nations, Rome, Italy. FAO publication 56. ISBN 92-5-104219-5. 290p.
Bravo, J.M., Allasia, D., Paz, A.R., & Collischonn, W., 2012. Coupled Hydrologic-Hydraulic Modeling of the Upper Paraguay River Basin,Journal of Hydrological Engineering., 17 , pp.635-646. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000494
Bates, P., 2004. Remote sensing and flood inundation modelling. Hydrol. Process.
Bates, P. D., Quinn, N., Sampson, C., Smith, A., Wing, O., Sosa, J., … & Krajewski, 2021. Combined modeling of US fluvial, pluvial, and coastal flood hazard under current and future climates. Water Resources Research , 57 , p.e2020WR028673. https://doi.org/10.1029/2020WR028673
Berghuijs, W. R., Woods, R. A., Hutton, C. J., & Sivapalan, M., 2016. Dominant flood generating mechanisms across the United States,Geophysical Research Letter ., 43 , pp.4382– 4390, doi:10.1002/2016GL068070.
Buchanan, B, Auerbach, DA, Knighton, J, Evensen, D., Fuka, D.R., Easton,Z., … & Walter, 2018. Estimating dominant runoff modes across the conterminous United States. Hydrological Processes .32 , pp.3881– 3890. https://doi.org/10.1002/hyp.13296
Chen, M., Nabih, S., Brauer, N.S., Gao, S., Gourley, J.J., Hong, Z., … & Hong, Y., 2020. Can Remote Sensing Technologies Capture the Extreme Precipitation Event and Its Cascading Hydrological Response? A Case Study of Hurricane Harvey Using EF5 Modeling Framework.Remote Sensing , 12 , 445. https://doi.org/10.3390/rs12030445
Chen, M., Li, Z., Gao, S., Luo, X., Wing, O.E., Shen, X., … & Hong, Y., 2021. A Comprehensive Flood Inundation Mapping for Hurricane Harvey Using an Integrated Hydrological and Hydraulic Model.Journal of Hydrometeorology , 22, pp.1713-1726.
Chow, V.T., Maidment, D.R., & Mays L.W., 1988. Applied Hydrology: McGraw-Hill Series in Water Resources and Environmental Engineering , McGraw-Hill, Inc., New York.
Cohen, S., Praskievicz, S., & Maidment, D.R. 2018. Featured Collection Introduction: National Water Model. Journal of the American Water Resources Association, 54 , 4 pp.767– 769. https://doi.org/10.1111/1752-1688.12664.
Corradini, C., Morbidelli, R., & Melone, F., 1998. On the interaction between infiltration and Hortonian runoff, Journal of Hydrology ,204 , pp.52-67.
Corradini, C., Govindaraju, R.S., & Morbidelli, R., 2002. Simplified modelling of areal average infiltration at the hillslope scale.Hydrological Processes , 16 , pp.1757-1770.
Dullo, TT., Ganguade, S., Morales-Hernandez, M., Sharif, M.B., Kao, S.C., Kalyanapu, A.J., … & Evans, K.J., 2021. Simulation of Hurricane Harvey flood event through coupled hydrologic-hydraulic models: challenges and nex steps. Journal of Flood Risk Management, 14, pp.1-26. https://doi.org/10.1111/jfr3.12716
Felder, G., Zischg, A., & Weingartner, R., 2017. The effect of coupling hydrologic and hydrodynamic models on probable maximum flood estimation,Journal of Hydrology , 550 , pp.157-165. https://doi.org/10.1016/j.jhydrol.2017.04.052
Flamig, Z.L., Vergara, H., & Gourley, J.J., 2020. The Ensemble Framework For Flash Flood Forecasting (EF5) v1.2: description and case study. Geoscitific. Model Dev elopment , 13 , pp.4943-4958. https://doi.org/10.5194/gmd-13-4943-2020
Freeze, R.A., 1974. Streamflow generation. Review of Geophysics .12 , pp.627-647. https://doi.org/10.1029/RG012i004p00627
Gourley, J. J., Flamig, Z.L., Vergara, H., Kirstetter, P., Clark, R.A., Argyle, E., … & Hong, Y., 2017. The FLASH Project: Improving the Tools for Flash Flood Monitoring and Prediction across the United States. Bulletin of American Meteorological Society , 98 , pp.361–372. https://doi.org/10.1175/BAMS-D-15-00247.1
Getirana, A.C.V., & Paiva R.C.D., 2013. Mapping large-scale river flow hydraulics in the Amazon basin, Water Resources Research ,49 , pp.2437-2445. https://doi.org/10.1002/wrcr.20212
Grimaldi, S., Schumann, G. J.-P., Shokri, A., Walker, J. P., & Pauwels, V. R. N., 2019. Challenges, opportunities and pitfalls for global coupled hydrologic-hydraulic modeling of floods. Water Resources Research, 55, pp. 5277– 5300. https://doi.org/10.1029/2018WR024289
Hirabayashi, Y., Mahendran, R., Koirala, S., Konoshima, L., Yamazaki, D., Watanabe, S., … & Shinjiro Kanae, 2013. Global flood risk under climate change. Nature Climate Change , 3 , 9, pp.816-821.
Johnson, J.M., Munasinghe, D., Eyelade, D., & Cohen, S., 2019. An integrated evaluation of the National Water Model (NWM)-Height Above Nearest Drainage (HAND) flood mapping methodology, Natural Hazards Earth System Sciences , 19 , pp.2405-2420. https://doi.org/10.5194/nhess-19-2405-2019
Kenward, T., Lettenmaier, D.P., Wood, E.F., & Fielding, E., 2000. Effects of Digital Elevation Model Accuracy on Hydrologic Predictions.Remote Sensing of Environment , 74 , 3, pp.432-444.https://doi.org/10.1016/S0034-4257(00)00136-X.
Kim, J., Warnock, A., Ivanov, V.Y., & Katopodes, N.D., 2012. Coupled modeling of hydrologic and hydrodynamic processes including overland and channel flow. Advances in Water Resources, 37, pp.104-126. https://doi.org/10.1016/j.advwatres.2011.11.009
Koenig, T.A., Bruce, J.L., O’Connor, J.E., McGee, B.D., Holmes, R.R., Jr., Hollins, Ryan, Forbes, B.T., … & Peppler, M.C., 2016,Identifying and preserving high-water mark data: U.S. Geological Survey Techniques and Methods , book 3, chap. A24, p.47, http://dx.doi.org/10.3133/tm3A24.
Li, Z., Chen, M., Gao, S., Hong, Z., Tang, G., Wen, Y., …, & Hong, Y., 2020. Cross-Examination of Similarity, Difference and Deficiency of Gauge, Radar and Satellite Precipitation Measuring Uncertainties for Extreme Events Using Conventional Metrics and Multiplicative Triple Collocation. Remote Sensing , 12 , 1258. https://doi.org/10.3390/rs12081258
Li, Z., Chen, M., Gao, S., Gourley, J. J., Yang, T., Shen, X., …, & Hong, Y., 2021a. A multi-source 120-year U.S. flood database with a unified common format and public access, Earth System Sciences Data , 13, pp.3755-3766, https://doi.org/10.5194/essd-2021-36
Li, Z., Chen, M., Gao, S., Luo, X., Gourley, J.J., Kirstetter, P., … & Hong, Y., 2021b. CREST-iMAP v1.0: A fully coupled hydrologic-hydraulic modeling framework dedicated to flood inundation mapping and prediction. Environmental Modelling and Software ,141 , 105051, https://doi.org/10.1016/j.envsoft.2021.105051.
Liang, X., Lettenmaier, D.P., Wood, E.F., & Burges, S.J., 1994. A simple hydrologically based model of land surface water and energy fluxes for general circulation models. Journal of Geophysical Research and Atmosphere , 99 , pp.14415-14428. https://doi.org/10.1029/94JD00483.
Mahapatra, S., Jha, M.K., Biswal, S., & Senapati, 2020. Assessing Variability of Infiltration Characteristics and Reliability of Infiltration Models in a Tropical Sub-humid Region of India.Scientific Reports , 10, 1515. https://doi.org/10.1038/s41598-020-58333-8
Merz, B., Kreibich, H., Schwarze, R., & Thieken, A., 2010. Review article ”Assessment of economic flood damage”, Natural Hazards and Earth System Sciences , 10 , pp.1697–1724, https://doi.org/10.5194/nhess-10-1697-2010, 2010.
Mohanty, P.M., Nithya, S., Nair, A.S., Indu, J., Ghosh, S., Bhatt, C.M., …, & Karmakar, S., 2020. Sensitivity of various topographic data in flood management: Implications on inundation mapping over large data-scarce regions. Journal of Hydrology , 590 , 125523, https://doi.org/10.1016/j.jhydrol.2020.125523.
Nahar, N., Govindaraju, R.S., Corradini, C., & Morbidelli, R., 2004. Role of run-on for describing field-scale infiltration and overland flow over spatially variable soils, Journal of Hydrology , 286 , pp.36-52, 10.1016/j.jhydrol.2003.09.011.
Nguyen, P., Thorstensen, A., Sorooshian, S., Hsu, K., AghaKouchak, A., Sanders, B., …, & Smith, M., 2016. A high resolution coupled hydrologic-hydraulic model (HiResFlood-UCI) for flash flood modeling.Journal of Hydrology , 541 , pp.401-420. https://doi.org/10.1016/j.jhydrol.2015.10.047
Ni, Y., Cao, Z., Liu, Q., & Liu Q., 2020. A 2D hydrodynamic model for shallow water flows with significant infiltration losses. Hydrological Processes, 34. https://doi.org/10.1002/hyp.13722
Pontes, P.R.M., Fan, F.M., Fleischmann, A.S., de Paiva, R.C.D., Buarque, D.C., Siqueira, V.A., …, & Collischonn, W., 2017. MGB-IPH model for hydrological and hydraulic simulation of large floodplain rivers systems coupled with open source GIS, Environmental Modelling and Software , 94 , pp.1-20, https://doi.org/10.1016/j.envsoft.2017.03.029
Saksena, S., Dey, S., Merwade, V., & Singhofen, P.J., 2020. A computationally efficient and physically based approach for urban flood modeling using a flexible spatiotemporal structure. Water Resources Research , 56 , p.e2019WR025769. https://doi.org/10.1029/2019WR025769
Sampson, C.C., Smith, A.M., Bates, P., Neal, J.C., Alfieri, L., & Freer, J.E., 2015. A high-resolution global flood hazard model.Water Resources Research , 51 , pp.7358-7381, 10.1002/2015WR016954.
Sanders, B., 2007. Evaluation of on-line DEMs for flood inundation modelling, Advances in Water Resources , 30, pp.1831-1843, 10.1016/j.advwatres.2007.02.005.
Schumann, G.J.P. & Bates P.D. (2018) The Need for a High-Accuracy, Open-Access Global DEM. Frontier Earth Science, 6 , 225. doi: 10.3389/feart.2018.00225
Sebastian, A., Bader, D.J., Nederhiff, C.M., Leijnse, T.W.B., Bicker, J.D., & Aarninkhof, S.G., 2021. Hindcast of pluvial, fluvial, and coastal flood damage in Houston, Texas during Hurricane Harvey (2017) using SFINCS. Natural Hazards . https://doi.org/10.1007/s11069-021-04922-3
Smith, R. E., and Hebbert, R. H. B. (1979), A Monte Carlo Analysis of the hydrologic effects of spatial variability of infiltration,Water Resources Research , 15 , 2, pp.419– 429, https://doi.org/10.1029/WR015i002p00419.
Swain, D. L., Wing, O. E. J., Bates, P. D., Done, J. M., Johnson, K. A., & Cameron, D. R., 2020. Increased flood exposure due to climate change and population growth in the United States. Earth’s Future ,8 , p.e2020EF001778. https://doi.org/10.1029/2020EF001778
Tabari, H., 2020. Climate change impact on flood and extreme precipitation increases with water availability. Scientific Reports , 10 , 13768. https://doi.org/10.1038/s41598-020-70816-2
Tang, G., Clark, M.P., Papalexiou, S.M., Ma, Z., & Hong, Y., 2020. Have satellite precipitation products improved over last two decades? A comprehensive comparison of GPM IMERG with nine satellite and reanalysis datasets. Remote Sensing and Environment, 240, 111697. https://doi.org/10.1016/j.rse.2020.111697
Teng, J., Jakeman, A.J., Vaze, J., Croke, B.F.W., Dutta, D., & Kim, S., 2017. Flood inundation modelling: A review of methods, recent advances and uncertainty analysis, Environmental Modeling and Software, 90, pp.201-216. https://doi.org/10.1016/j.envsoft.2017.01.006
Triet, N.V.K., Dung, N.V., Hoang, L.P., Duy, N.L., Tran, D.D., Anh, T.T., …, & Apel, H., 2020, Future projections of flood dynamics in the Vietnamese Mekong Delta, Science of The Total Environment ,742 , 140596, https://doi.org/10.1016/j.scitotenv.2020.140596.
Viero, D.P., Rober G., Matticchio, B., Define, A., & Tarolli, P., 2019. Floods, landscape modifications and population dynamics in anthropogenic coastal lowlands: The Polesine (northern Italy) case study. Science of The Total Environment, 651, pp.1435-1450. https://doi.org/10.1016/j.scitotenv.2018.09.121
Viterbo, F., Mahoney, K., Read, L., Salas, F., Bates, B., Elliott, J., …, & Cifelli, R., 2020. A Multiscale, Hydrometeorological Forecast Evaluation of National Water Model Forecasts of the May 2018 Ellicott City, Maryland, Flood, Journal of Hydrometeorology ,21 , 3, pp.475-499. https://doi.org/10.1175/JHM-D-19-0125.1
Wing, O. E. J., Bates, P. D., Sampson, C. C., Smith, A. M., Johnson, K. A., & Erickson, T. A. , 2017. Validation of a 30 m resolution flood hazard model of the conterminous United States, Water Resources Research , 53 , pp.7968– 7986, doi:10.1002/2017WR020917.
Woolhiser, D.A., Smith, R.E., & Giraldez, J.V., 1996. Effects of Spatial Variability of Saturated Hydraulic Conductivity on Hortonian Overland Flood, Water Resources Research , 32 , pp.671-678, https://doi.org/10.1029/95WR03108
Xue, X., Hong, Y., Limaye, A.S., Gourley, J.J., Huffman, G.J., Khan, S.I., Doriji, C., & Chen, S., 2013. Statistical and hydrological evaluation of TRMM-based Multi-satellite Precipitation Analysis over the Wangchu Basin of Bhutan: Are the latest satellite precipitation products 3B42V7 ready for use in ungauged basins? Journal of Hydrology, 499, pp.91-99. https://doi.org/10.1016/j.hydrol.2013.06.042.
Yamazaki, D., Kanae, S., Kim, H., & Oki, T., 2011. A physically based description of floodplain inundation dynamics in a global river routing model, Water Resources Research , 47 , W04501, https://doi.org/10.1029/2010WR009726.
Yang, G., Bowling, L.C., Cherkauer, K.A., & Pijanowski, B.C., 2011. The impact of urban development on hydrologic regime from catchment to basin scales, Landscape and Urban Plan ning, 103 , 2, pp.237-249. https://doi.org/10.1016/j.landurbplan.2011.08.003
Yussouf, N., Wilson, K. A., Martinaitis, S. M., Vergara, H., Heinselman, P. L., & Gourley, J. J., 2020. The Coupling of NSSL Warn-on-Forecast and FLASH Systems for Probabilistic Flash Flood Prediction,Journal of Hydrometeorology , 21, 1, pp.123-141. https://doi.org/10.1175/JHM-D-19-0131.1
Zhao, R. J., 1995. The xinanjiang model. Computer models of watershed hydrology , pp.215-232
Zhang, J., Howard, K., Langston, C., Kaney, B., Qi, Y., Tang, L., & Kitzmiller, D., 2016. Multi-Radar Multi-Sensor (MRMS) Quantitative Precipitation Estimation: Initial Operating Capabilities. Bulletin of American Meteorological Society , 97 , 4, pp.621-638. https://doi.org/10.1175/bams-d-14-00174.1
Zhang J., Lin, P., Gao, S., & Fang, Z., 2020. Understanding the re-infiltration process to simulating streamflow in North Central Texas using the WRF-hydro modeling system, Journal of Hydrology ,587 , 124902, https://doi.org/10.1016/j.jhydrol.2020.124902.
APPENDICES (if any) to be printed