Articles | Volume 25, issue 9
https://doi.org/10.5194/hess-25-5315-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-25-5315-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
29 Sep 2021
Research article |
| 29 Sep 2021
| 29 Sep 2021
Ensemble streamflow data assimilation using WRF-Hydro and DART: novel localization and inflation techniques applied to Hurricane Florence flooding
Mohamad El Gharamti
CORRESPONDING AUTHOR
NCAR, Computational and Information Systems Laboratory (CISL), Boulder CO, USA
James L. McCreight
NCAR, Research Application Laboratory (RAL), Boulder CO, USA
Seong Jin Noh
Civil Engineering, Kumoh National Institute of Technology, Gumi, South Korea
Timothy J. Hoar
NCAR, Computational and Information Systems Laboratory (CISL), Boulder CO, USA
Arezoo RafieeiNasab
NCAR, Research Application Laboratory (RAL), Boulder CO, USA
Benjamin K. Johnson
NCAR, Computational and Information Systems Laboratory (CISL), Boulder CO, USA
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Cited
16 citations as recorded by crossref.
- An Assessment of the Coupled Weather Research and Forecasting Hydrological Model on Streamflow Simulations over the Source Region of the Yellow River Y. Chen et al. 10.3390/atmos15040468
- An integrated modeling approach to evaluate the impacts of nature-based solutions of flood mitigation across a small watershed in the southeast United States B. Guido et al. 10.5194/nhess-23-2663-2023
- Assimilation of transformed water surface elevation to improve river discharge estimation in a continental-scale river M. Revel et al. 10.5194/hess-27-647-2023
- Impact of power outages depends on who loses it: Equity-informed grid resilience planning via stochastic optimization G. Toplu-Tutay et al. 10.1016/j.seps.2024.102036
- Intercomparison of initialization methods for seasonal-to-decadal climate predictions with the NorCPM L. Garcia-Oliva et al. 10.1007/s00382-024-07170-w
- Soil and Water Assessment Tool (SWAT)-Informed Deep Learning for Streamflow Forecasting with Remote Sensing and In Situ Precipitation and Discharge Observations C. Huang et al. 10.3390/rs16213999
- Impact of assimilating dam outflow measurements to update distributed hydrological model states: Localization for improving ensemble Kalman filter performance M. Khaniya et al. 10.1016/j.jhydrol.2022.127651
- Recent Advances and New Frontiers in Riverine and Coastal Flood Modeling K. Jafarzadegan et al. 10.1029/2022RG000788
- Fuzzy C-Means clustering for physical model calibration and 7-day, 10-year low flow estimation in ungaged basins: comparisons to traditional, statistical estimates A. DelSanto et al. 10.3389/frwa.2024.1332888
- An Agenda for Land Data Assimilation Priorities: Realizing the Promise of Terrestrial Water, Energy, and Vegetation Observations From Space S. Kumar et al. 10.1029/2022MS003259
- Editorial to the Special Issue “Recent Advances in Hydrological Modeling” M. He et al. 10.3390/hydrology11070108
- Hydrometeorology and hydrology of flooding in Cape Fear River basin during Hurricane Florence in 2018 D. Yin et al. 10.1016/j.jhydrol.2021.127139
- Spatio‐Temporal Model Variance‐Covariance Approach to Assimilating Streamflow Observations Into a Distributed Landscape Water Balance Model S. Tian et al. 10.1029/2021WR031649
- Interconnected hydrologic extreme drivers and impacts depicted by remote sensing data assimilation T. Lahmers et al. 10.1038/s41598-023-30484-4
- Leveraging a novel hybrid ensemble and optimal interpolation approach for enhanced streamflow and flood prediction M. El Gharamti et al. 10.5194/hess-28-3133-2024
- Improvement in track and intensity prediction of hurricane Florence 2018 using WRF and HWRF models with regression analysis L. Liu et al. 10.3934/mfc.2024038
15 citations as recorded by crossref.
- An Assessment of the Coupled Weather Research and Forecasting Hydrological Model on Streamflow Simulations over the Source Region of the Yellow River Y. Chen et al. 10.3390/atmos15040468
- An integrated modeling approach to evaluate the impacts of nature-based solutions of flood mitigation across a small watershed in the southeast United States B. Guido et al. 10.5194/nhess-23-2663-2023
- Assimilation of transformed water surface elevation to improve river discharge estimation in a continental-scale river M. Revel et al. 10.5194/hess-27-647-2023
- Impact of power outages depends on who loses it: Equity-informed grid resilience planning via stochastic optimization G. Toplu-Tutay et al. 10.1016/j.seps.2024.102036
- Intercomparison of initialization methods for seasonal-to-decadal climate predictions with the NorCPM L. Garcia-Oliva et al. 10.1007/s00382-024-07170-w
- Soil and Water Assessment Tool (SWAT)-Informed Deep Learning for Streamflow Forecasting with Remote Sensing and In Situ Precipitation and Discharge Observations C. Huang et al. 10.3390/rs16213999
- Impact of assimilating dam outflow measurements to update distributed hydrological model states: Localization for improving ensemble Kalman filter performance M. Khaniya et al. 10.1016/j.jhydrol.2022.127651
- Recent Advances and New Frontiers in Riverine and Coastal Flood Modeling K. Jafarzadegan et al. 10.1029/2022RG000788
- Fuzzy C-Means clustering for physical model calibration and 7-day, 10-year low flow estimation in ungaged basins: comparisons to traditional, statistical estimates A. DelSanto et al. 10.3389/frwa.2024.1332888
- An Agenda for Land Data Assimilation Priorities: Realizing the Promise of Terrestrial Water, Energy, and Vegetation Observations From Space S. Kumar et al. 10.1029/2022MS003259
- Editorial to the Special Issue “Recent Advances in Hydrological Modeling” M. He et al. 10.3390/hydrology11070108
- Hydrometeorology and hydrology of flooding in Cape Fear River basin during Hurricane Florence in 2018 D. Yin et al. 10.1016/j.jhydrol.2021.127139
- Spatio‐Temporal Model Variance‐Covariance Approach to Assimilating Streamflow Observations Into a Distributed Landscape Water Balance Model S. Tian et al. 10.1029/2021WR031649
- Interconnected hydrologic extreme drivers and impacts depicted by remote sensing data assimilation T. Lahmers et al. 10.1038/s41598-023-30484-4
- Leveraging a novel hybrid ensemble and optimal interpolation approach for enhanced streamflow and flood prediction M. El Gharamti et al. 10.5194/hess-28-3133-2024
Latest update: 20 Nov 2024
Short summary
The article introduces novel ensemble data assimilation (DA) techniques for streamflow forecasting using WRF-Hydro and DART. Model-related biases are tackled through spatially and temporally varying adaptive prior and posterior inflation. Spurious and physically incorrect correlations, on the other hand, are mitigated using a topologically based along-the-stream localization. Hurricane Florence (2018) in the Carolinas, USA, is used as a test case to investigate the performance of DA techniques.
The article introduces novel ensemble data assimilation (DA) techniques for streamflow...
