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Combined Modeling of US Fluvial, Pluvial, and Coastal Flood Hazard Under Current and Future Climates
ArticleAbstract: This study reports a new and significantly enhanced analysis of US flood hazard at 30 m spatial resoPalabras claves:Climate Change, Floods, inundation, UNITED STATESAutores:Amodeo M.F., Bates P.D., Bolliger I.W., Chu Z., Couasnon A., Coxon G., Delgado M., E. Kopp R., E. McCusker K., Emanuel K., Ferreira C.M., Freeman N.B., Giustarini L., Haigh I.D., Hamidi A., Houser T., Hsiang S., Jeison Sosa, Khalid A., Krajewski W.F., Lewis-Gruss S., Neal J., Olcese G., Porter J.R., Quinn N., Sampson C., Savage J., Schumann G., Smith A., Wing O.Fuentes:scopusAssimilating SAR-derived water level data into a hydraulic model: A case study
ArticleAbstract: Satellite-based active microwave sensors not only provide synoptic overviews of flooded areas, but aPalabras claves:Autores:De Lannoy G.J.M., Douglas Antonio Plaza Guingla, Giustarini L., Hoffmann L., Hostache R., Keyser R.D., Matgen P., Montanari M., Pauwels V.R.N., Pfister L., Savenije H.H.G.Fuentes:googlescopusImproving particle filters in rainfall-runoff models: Application of the resample-move step and the ensemble Gaussian particle filter
ArticleAbstract: The objective of this paper is to analyze the improvement in the performance of the particle filterPalabras claves:Data assimilation, ensemble Kalman filter, Gaussian particle filter, particle Filter, Rainfall-runoff modelsAutores:De Lannoy G.J.M., Douglas Antonio Plaza Guingla, Giustarini L., Keyser R.D., Matgen P., Pauwels V.R.N.Fuentes:googlescopusThe importance of parameter resampling for soil moisture data assimilation into hydrologic models using the particle filter
ArticleAbstract: The Sequential Importance Sampling with Resampling (SISR) particle filter and the SISR with parametePalabras claves:Autores:De Lannoy G.J.M., Douglas Antonio Plaza Guingla, Giustarini L., Keyser R.D., Matgen P., Pauwels V.R.N.Fuentes:googlescopus