Ensemble-based data assimilation for operational flood forecasting – On the merits of state estimation for 1D hydrodynamic forecasting through the example of the “Adour Maritime” river-Reference-Cited by-同舟云学术

Ensemble-based data assimilation for operational flood forecasting – On the merits of state estimation for 1D hydrodynamic forecasting through the example of the “Adour Maritime” river

Published:2017-09 Issue: Volume:552 Page:210-224
ISSN:0022-1694
Container-title:Journal of Hydrology
language:en
Short-container-title:Journal of Hydrology

Author:

Barthélémy S.,Ricci S.,Rochoux M.C.,Le Pape E.,Thual O.

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference38 articles.

1. Quantifying precipitation uncertainty for land data assimilation applications;Alemohammad;Mon. Weather Rev.,2015

2. An adaptive covariance inflation error correction algorithm for ensemble filters;Anderson;Tellus, Series A: Dyn. Meteorol. Oceanogr.,2007

3. A Monte Carlo implementation of the nonlinear filtering problem to produce ensemble assimilations and forecasts;Anderson;Mon. Weather Rev.,1999

4. Prospects for river discharge and depth estimation through assimilation of swath-altimetry into a raster-based hydrodynamics model;Andreadis;Geophys. Res. Lett.,2007

5. M. Audinet, H. André, 1995. Hydrométrie appliquée aux cours d’eau, Collection EDF-DER no. 91.

Cited by 24 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Novel Local‐Inertial Formulation Representing Subgrid Scale Topographic Effects for Urban Flood Simulation;Water Resources Research;2024-05

2. Evolution de la stratégie de modélisation au sein du service prévision des crues Vilaine et Côtiers Bretons et conséquences sur la production de la vigilance;LHB;2024-04-12

3. Utilisation du modèle hydrodynamique 1D Mascaret pour la prévision des crues;LHB;2024-02-12

4. Research on water level forecasting and hydraulic parameter calibration in the 1D open channel hydrodynamic model using data assimilation;Journal of Hydrology;2023-10

5. Enable high-resolution, real-time ensemble simulation and data assimilation of flood inundation using distributed GPU parallelization;Journal of Hydrology;2023-04