Articles | Volume 18, issue 11
https://doi.org/10.5194/hess-18-4325-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-18-4325-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Variational assimilation of remotely sensed flood extents using a 2-D flood model
X. Lai
State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography & Limnology, CAS, Nanjing 210008 P.R. China
Q. Liang
School of Civil Engineering and Geosciences, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK
H. Yesou
SERTIT, Université de Strasbourg, Bd Sébastien Brant, BP 10413 67412 Illkirch, France
S. Daillet
LEGOS/CNES, 18 avenue Edouard Belin, 31401 Toulouse, CEDEX 9, France
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Cited
21 citations as recorded by crossref.
- Water quality modelling based on 4-dimensional variational assimilation method in the Nanfei River, Lake Chaohu Basin<sup>*</sup> L. Xijun & H. Guojian 10.18307/2021.0513
- Near‐Real‐Time Assimilation of SAR‐Derived Flood Maps for Improving Flood Forecasts R. Hostache et al. 10.1029/2017WR022205
- Optimizing measurement schemes to improve indoor airflow and temperature CFD–EnKF joint simulation W. Qian et al. 10.1016/j.buildenv.2023.111070
- GFPLAIN and Multi-Source Data Assimilation Modeling: Conceptualization of a Flood Forecasting Framework Supported by Hydrogeomorphic Floodplain Rapid Mapping A. Annis & F. Nardi 10.3390/hydrology8040143
- Exploiting the proliferation of current and future satellite observations of rivers G. Schumann & A. Domeneghetti 10.1002/hyp.10825
- A fusion-based neural network methodology for monthly reservoir inflow prediction using MODIS products M. Ghazali et al. 10.1080/02626667.2018.1558365
- Flood Detection with SAR: A Review of Techniques and Datasets D. Amitrano et al. 10.3390/rs16040656
- Assimilation of probabilistic flood maps from SAR data into a coupled hydrologic–hydraulic forecasting model: a proof of concept C. Di Mauro et al. 10.5194/hess-25-4081-2021
- Recent Advances and New Frontiers in Riverine and Coastal Flood Modeling K. Jafarzadegan et al. 10.1029/2022RG000788
- Assimilation of future SWOT-based river elevations, surface extent observations and discharge estimations into uncertain global hydrological models S. Wongchuig-Correa et al. 10.1016/j.jhydrol.2020.125473
- Potential in improving monthly streamflow forecasting through variational assimilation of observed streamflow A. Mazrooei et al. 10.1016/j.jhydrol.2021.126559
- Gaussian Anamorphosis for Ensemble Kalman Filter Analysis of SAR-Derived Wet Surface Ratio Observations T. Nguyen et al. 10.1109/TGRS.2023.3338296
- Simultaneous assimilation of water levels from river gauges and satellite flood maps for near-real-time flood mapping A. Annis et al. 10.5194/hess-26-1019-2022
- Hydrometeorological Extreme Events in Africa: The Role of Satellite Observations for Monitoring Pluvial and Fluvial Flood Risk M. Gosset et al. 10.1007/s10712-022-09749-6
- Remote Sensing-Derived Water Extent and Level to Constrain Hydraulic Flood Forecasting Models: Opportunities and Challenges S. Grimaldi et al. 10.1007/s10712-016-9378-y
- Integrating remotely sensed surface water extent into continental scale hydrology B. Revilla-Romero et al. 10.1016/j.jhydrol.2016.10.041
- A Mutual Information‐Based Likelihood Function for Particle Filter Flood Extent Assimilation A. Dasgupta et al. 10.1029/2020WR027859
- Toward Improved Comparisons Between Land‐Surface‐Water‐Area Estimates From a Global River Model and Satellite Observations X. Zhou et al. 10.1029/2020WR029256
- Improving indoor air flow and temperature prediction with local measurements based on CFD-EnKF data assimilation W. Qian et al. 10.1016/j.buildenv.2022.109511
- Towards operational SAR-based flood mapping using neuro-fuzzy texture-based approaches A. Dasgupta et al. 10.1016/j.rse.2018.06.019
- On the Impacts of Observation Location, Timing, and Frequency on Flood Extent Assimilation Performance A. Dasgupta et al. 10.1029/2020WR028238
21 citations as recorded by crossref.
- Water quality modelling based on 4-dimensional variational assimilation method in the Nanfei River, Lake Chaohu Basin<sup>*</sup> L. Xijun & H. Guojian 10.18307/2021.0513
- Near‐Real‐Time Assimilation of SAR‐Derived Flood Maps for Improving Flood Forecasts R. Hostache et al. 10.1029/2017WR022205
- Optimizing measurement schemes to improve indoor airflow and temperature CFD–EnKF joint simulation W. Qian et al. 10.1016/j.buildenv.2023.111070
- GFPLAIN and Multi-Source Data Assimilation Modeling: Conceptualization of a Flood Forecasting Framework Supported by Hydrogeomorphic Floodplain Rapid Mapping A. Annis & F. Nardi 10.3390/hydrology8040143
- Exploiting the proliferation of current and future satellite observations of rivers G. Schumann & A. Domeneghetti 10.1002/hyp.10825
- A fusion-based neural network methodology for monthly reservoir inflow prediction using MODIS products M. Ghazali et al. 10.1080/02626667.2018.1558365
- Flood Detection with SAR: A Review of Techniques and Datasets D. Amitrano et al. 10.3390/rs16040656
- Assimilation of probabilistic flood maps from SAR data into a coupled hydrologic–hydraulic forecasting model: a proof of concept C. Di Mauro et al. 10.5194/hess-25-4081-2021
- Recent Advances and New Frontiers in Riverine and Coastal Flood Modeling K. Jafarzadegan et al. 10.1029/2022RG000788
- Assimilation of future SWOT-based river elevations, surface extent observations and discharge estimations into uncertain global hydrological models S. Wongchuig-Correa et al. 10.1016/j.jhydrol.2020.125473
- Potential in improving monthly streamflow forecasting through variational assimilation of observed streamflow A. Mazrooei et al. 10.1016/j.jhydrol.2021.126559
- Gaussian Anamorphosis for Ensemble Kalman Filter Analysis of SAR-Derived Wet Surface Ratio Observations T. Nguyen et al. 10.1109/TGRS.2023.3338296
- Simultaneous assimilation of water levels from river gauges and satellite flood maps for near-real-time flood mapping A. Annis et al. 10.5194/hess-26-1019-2022
- Hydrometeorological Extreme Events in Africa: The Role of Satellite Observations for Monitoring Pluvial and Fluvial Flood Risk M. Gosset et al. 10.1007/s10712-022-09749-6
- Remote Sensing-Derived Water Extent and Level to Constrain Hydraulic Flood Forecasting Models: Opportunities and Challenges S. Grimaldi et al. 10.1007/s10712-016-9378-y
- Integrating remotely sensed surface water extent into continental scale hydrology B. Revilla-Romero et al. 10.1016/j.jhydrol.2016.10.041
- A Mutual Information‐Based Likelihood Function for Particle Filter Flood Extent Assimilation A. Dasgupta et al. 10.1029/2020WR027859
- Toward Improved Comparisons Between Land‐Surface‐Water‐Area Estimates From a Global River Model and Satellite Observations X. Zhou et al. 10.1029/2020WR029256
- Improving indoor air flow and temperature prediction with local measurements based on CFD-EnKF data assimilation W. Qian et al. 10.1016/j.buildenv.2022.109511
- Towards operational SAR-based flood mapping using neuro-fuzzy texture-based approaches A. Dasgupta et al. 10.1016/j.rse.2018.06.019
- On the Impacts of Observation Location, Timing, and Frequency on Flood Extent Assimilation Performance A. Dasgupta et al. 10.1029/2020WR028238
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