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Observation impact, domain length and parameter estimation in data assimilation for flood forecasting

E.S. Cooper, S.L. Dance, J. Garcia-Pintado, N.K. Nichols, P.J. Smith
2018 Environmental Modelling & Software  
Our new work shows that the time 13 taken for the forecast to relax to the open loop case depends on domain length; observation impact is longer-14 lived in a longer domain.  ...  We also show that updating the value of the channel friction 16 parameter can compensate for bias in inflow. 17 Highlights 20 • Data assimilation is applied to simulated flood forecasts and SAR-like observations  ...  Acknowledgements 583 The authors gratefully acknowledge the NERC studentship supporting Elizabeth Cooper, and CASE spon-  ... 
doi:10.1016/j.envsoft.2018.03.013 fatcat:andosex2sbhpbce3hp3666csvu

GFPLAIN and Multi-Source Data Assimilation Modeling: Conceptualization of a Flood Forecasting Framework Supported by Hydrogeomorphic Floodplain Rapid Mapping

Antonio Annis, Fernando Nardi
2021 Hydrology  
A flood forecasting framework with novel applications of hydrogeomorphic floodplain processing is conceptualized for empowering flood EWSs in preliminarily identifying the computational domain for hydraulic  ...  Data Assimilation (DA) models allow Early Warning Systems (EWS) to produce accurate and timely flood predictions.  ...  Improve multi-source data assimilation models for near-real-time flood forecasting and mapping.  ... 
doi:10.3390/hydrology8040143 fatcat:sgrno5bcdrfwraksj7jvmgtmzq

Correction of upstream flow and hydraulic state with data assimilation in the context of flood forecasting

S. Ricci, A. Piacentini, O. Thual, E. Le Pape, G. Jonville
2010 Hydrology and Earth System Sciences Discussions  
The present study describes the assimilation of river water level observations and the resulting improvement in flood forecasting.  ...  The correction of the upstream flow as well as the control of the hydraulic state during the flood event leads to a significant improvement in the water level and discharge in both analysis and forecast  ...  Ivanoff who contributed to this work during her Master internship at CERFACS and to O. Pannekoucke for valuable discussions. The publication of this article is financed by CNRS-INSU.  ... 
doi:10.5194/hessd-7-9067-2010 fatcat:i6iel7oudzaunfnslkzb3qnru4

Correction of upstream flow and hydraulic state with data assimilation in the context of flood forecasting

S. Ricci, A. Piacentini, O. Thual, E. Le Pape, G. Jonville
2011 Hydrology and Earth System Sciences  
The present study describes the assimilation of river water level observations and the resulting improvement in flood forecasting.  ...  The correction of the upstream flow as well as the control of the hydraulic state during the flood event leads to a significant improvement in the water level and discharge in both analysis and forecast  ...  Ivanoff who contributed to this work during her Master internship at CERFACS and to O. Pannekoucke for valuable discussions. Edited by: J. Freer  ... 
doi:10.5194/hess-15-3555-2011 fatcat:tsfqtel2gfhwzczdtxfkmzt6fi

Improvements in Forecasting Intense Rainfall: Results from the FRANC (Forecasting Rainfall Exploiting New Data Assimilation Techniques and Novel Observations of Convection) Project

Sarah Dance, Susan Ballard, Ross Bannister, Peter Clark, Hannah Cloke, Timothy Darlington, David Flack, Suzanne Gray, Lee Hawkness-Smith, Nawal Husnoo, Anthony Illingworth, Graeme Kelly (+11 others)
2019 Atmosphere  
We discuss the treatment of uncertainty in data assimilation: new methods for estimation of observation uncertainties with novel applications to Doppler radar winds, Atmospheric Motion Vectors, and satellite  ...  The FRANC project (Forecasting Rainfall exploiting new data Assimilation techniques and Novel observations of Convection) has researched improvements in numerical weather prediction of convective rainfall  ...  Ballard, as an internationally respected scientist, colleague, manager, mentor and friend.  ... 
doi:10.3390/atmos10030125 fatcat:v2hfvkyhvbff5fhfxbcwwpemn4

Scheduling satellite-based SAR acquisition for sequential assimilation of water level observations into flood modelling

Javier García-Pintado, Jeff C. Neal, David C. Mason, Sarah L. Dance, Paul D. Bates
2013 Journal of Hydrology  
First, in agreement with previous research, estimation and correction for this bias leads to a clear improvement in keeping the forecast on track.  ...  The results are promising for the future of remote sensing-based water level observations for real-time flood forecasting in complex scenarios.  ...  RMSE [m] Jul 20 Jul 22 Acknowledgements This work was supported by NERC through the DEMON (Developing Enhanced impact MOdels for integration with Next generation NWP and climate outputs) project,  ... 
doi:10.1016/j.jhydrol.2013.03.050 fatcat:zxrtnot635bwpmstbscozkhfwi

Observation operators for assimilation of satellite observations in fluvial inundation forecasting

Elizabeth S. Cooper, Sarah L. Dance, Javier García-Pintado, Nancy K. Nichols, Polly J. Smith
2019 Hydrology and Earth System Sciences  
Data assimilation allows us to combine valuable SAR-derived observed information with continuous predictions from a computational hydrodynamic model and thus to produce a better forecast than using the  ...  We discuss the physical mechanisms by which different observation operators update modelled water levels and introduce a novel observation operator for inundation forecasting.  ...  The authors gratefully acknowledge CASE sponsorship for ESC from the Satellite Applications Catapult and partial support for NKN from the NERC National Centre for Earth Observation (NCEO).  ... 
doi:10.5194/hess-23-2541-2019 fatcat:wyyos2a3ozeqrbaeio5bek7o54

Observation operators for assimilation of satellite observations in fluvial inundation forecasting

Elizabeth S. Cooper, Sarah L. Dance, Javier García-Pintado, Nancy K. Nichols, Polly Smith
2018 Hydrology and Earth System Sciences Discussions  
Data assimilation allows us to combine valuable SAR-derived observed information with continuous predictions from a computational hydrodynamic model and thus to produce a better forecast than using the  ...  We discuss the physical mechanisms by which different observation operators update modelled water levels and introduce a novel observation operator for inundation forecasting.  ...  and parameter estimation.  ... 
doi:10.5194/hess-2018-589 fatcat:prwr5k3mn5gvxcmh6vbpuxwpcy

Ensemble streamflow data assimilation using WRF-Hydro and DART: novel localization and inflation techniques applied to Hurricane Florence flooding

M. El Gharamti, J. L. McCreight, S. J. Noh, T. J. Hoar, A. RafieeiNasab, B. K. Johnson
2021 Hydrology and Earth System Sciences  
This study presents a general data assimilation framework that aims to improve flood predictions in channel routing models.  ...  Instantaneous streamflow observations from 107 United States Geological Survey (USGS) gauges are assimilated for a period of 1 month.  ...  The authors would like to thank two anonymous reviewers for their great comments and suggestions. The authors also thank Jeffrey Anderson and David Gochis, for the fruitful discussions.  ... 
doi:10.5194/hess-25-5315-2021 doaj:6bf6e64a4c2c48e591bd24e20722f892 fatcat:q3ypllbjebcoxpflh7oy3nxdye

Simultaneous assimilation of water levels from river gauges and satellite flood maps for near-real-time flood mapping

Antonio Annis, Fernando Nardi, Fabio Castelli
2022 Hydrology and Earth System Sciences  
In this work, a near-real-time flood modelling approach is developed and tested for the simultaneous assimilation of both water level observations and EO-derived flood extents.  ...  Results suggest that the injection of multiple data sources into a flexible data assimilation framework constitutes an effective and viable advancement for flood mitigation to tackle EWS uncertainty and  ...  However satellite image observations provide spatially distributed information that is important for flood wave routing in a complex domain, especially when flooding impacts large unconfined domains.  ... 
doi:10.5194/hess-26-1019-2022 fatcat:eyikmnyabndm5htzvjvy65zy5y

Use of Integrated Observations to Improve 0-36 h Flood Forecasting: Development and Application of a Coupled Atmosphere-Hydrology System in the Nanpan River Basin, China

Lei WANG, Toshio KOIKE, Man WANG, Jianyu LIU, Jihua SUN, Hui LU, Hiroyuki TSUTSUI, Katsunori TAMAGAWA, Xiangde XU
2012 Journal of the Meteorological Society of Japan  
The WRF-3DVAR only assimilating GPS data performs poorly, showing the necessity to improve both the assimilation technique and the spatial resolution for the operational numerical weather forecasts.  ...  the contributions of di¤erent observations to QPF accuracy and flood forecasting.  ...  Acknowledgements This study was jointly supported by the China and Japan intergovernmental cooperation program funded by Japan International Cooperation Agency  ... 
doi:10.2151/jmsj.2012-c09 fatcat:lxwqwcyqwncl5bsnrncnh7czmi

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

S. Barthélémy, S. Ricci, M.C. Rochoux, E. Le Pape, O. Thual
2017 Journal of Hydrology  
This is an author-deposited version published in : http://oatao.univ-toulouse.fr/ Eprints ID : 19867 To link to this article :  ...  OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible.  ...  The authors also gratefully acknowledge Thierry Morel and Florent Duchaine (CERFACS) for their support on OpenPALM and on the PalmParasol functionality.  ... 
doi:10.1016/j.jhydrol.2017.06.017 fatcat:tyyqea5q3vgyrlq4lwtnlb7fpm

Remote Sensing-Derived Water Extent and Level to Constrain Hydraulic Flood Forecasting Models: Opportunities and Challenges

Stefania Grimaldi, Yuan Li, Valentijn R. N. Pauwels, Jeffrey P. Walker
2016 Surveys in geophysics  
This paper presents a review of the availability of RS observations of flood extent and levels, and their use for calibration, validation and real-time constraint of hydraulic flood forecasting models.  ...  RS data processing algorithms; and on calibration, validation and data assimilation protocols.  ...  Acknowledgments This study is financially supported by the Bushfires and Natural Hazards CRC project-Improving flood forecast skill using remote sensing data.  ... 
doi:10.1007/s10712-016-9378-y fatcat:rmceq6a5h5a6do6qpyhzo62zve

Assimilation of SAR-derived Flood Observations for Improving Fluvial Flood Forecast [article]

Thanh Huy Nguyen, Sophie Ricci, Andrea Piacentini, Christophe Fatras, Peter Kettig, Gwendoline Blanchet, Santiago Pena Luque, Simon Baillarin
2022 arXiv   pre-print
The merits of assimilating SAR- derived flood plain data complementary to in-situ water level observations are shown in the control parameter and observation spaces with 1D and 2D assessment metrics.  ...  This work focuses on the assimilation of 2D flood extent data (expressed in terms of wet surface ratios) and in-situ water level data to improve the representation of the flood plain dynamics with a Telemac  ...  The authors gratefully thank the EDF R&D for providing the Telemac-2D model for the Garonne River, and the SCHAPI, SPC Garonne-Tarn-Lot and SPC Gironde-Adour-Dordogne for providing the in-situ data.  ... 
arXiv:2205.08471v1 fatcat:waj6cpsvxnecbo55lchv4vmtny

Assimilation of satellite data to optimize large scale hydrological model parameters: a case study for the SWOT mission

V. Pedinotti, A. Boone, S. Ricci, S. Biancamaria, N. Mognard
2014 Hydrology and Earth System Sciences Discussions  
This study aims to investigate the potential of SWOT data for parameter optimization for large scale river routing models which are typically employed in Land Surface Models (LSM) for global scale applications  ...  Moreover, the method allows a better prediction of the occurrence and intensity of flood events in the inner delta and shows skill in simulating the maxima and minima of water storage anomalies in several  ...  The diverse studies presented in this paper would not have been possible without the valuable contribution of the Autorite du Bassin du Niger(ABN). Edited by: F. Tian  ... 
doi:10.5194/hessd-11-4477-2014 fatcat:wq73az34rncqrlx2bspnabvfey
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