Articles | Volume 19, issue 4
https://doi.org/10.5194/hess-19-1659-2015
© Author(s) 2015. 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-19-1659-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Improving operational flood ensemble prediction by the assimilation of satellite soil moisture: comparison between lumped and semi-distributed schemes
C. Alvarez-Garreton
CORRESPONDING AUTHOR
Department of Infrastructure Engineering, The University of Melbourne, Parkville, Victoria, Australia
Department of Infrastructure Engineering, The University of Melbourne, Parkville, Victoria, Australia
A. W. Western
Department of Infrastructure Engineering, The University of Melbourne, Parkville, Victoria, Australia
C.-H. Su
Department of Infrastructure Engineering, The University of Melbourne, Parkville, Victoria, Australia
W. T. Crow
USDA-ARS Hydrology and Remote Sensing Laboratory, Beltsville, Maryland, USA
D. E. Robertson
CSIRO Land and Water, P.O. Box 56, Highett, 3190 Victoria, Australia
C. Leahy
Bureau of Meteorology, Melbourne, Victoria, Australia
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- Soil Moisture Data Assimilation in MISDc for Improved Hydrological Simulation in Upper Huai River Basin, China Z. Ding et al. 10.3390/w14213476
- ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions W. Dorigo et al. 10.1016/j.rse.2017.07.001
- Performance of multi-level association rule mining for the relationship between causal factor patterns and flash flood magnitudes in a humid area M. Zhong et al. 10.1080/19475705.2019.1655102
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- Impacts of Introducing Remote Sensing Soil Moisture in Calibrating a Distributed Hydrological Model for Streamflow Simulation L. Xiong & L. Zeng 10.3390/w11040666
- Satellite soil moisture data assimilation for improved operational continental water balance prediction S. Tian et al. 10.5194/hess-25-4567-2021
- The Impact of SMOS Soil Moisture Data Assimilation within the Operational Global Flood Awareness System (GloFAS) C. Baugh et al. 10.3390/rs12091490
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- Assimilation of surface soil moisture jointly retrieved by multiple microwave satellites into the WRF-Hydro model in ungauged regions: Towards a robust flood simulation and forecasting L. Chao et al. 10.1016/j.envsoft.2022.105421
- Four decades of microwave satellite soil moisture observations: Part 1. A review of retrieval algorithms L. Karthikeyan et al. 10.1016/j.advwatres.2017.09.006
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- A Comprehensive Evaluation of Gridded L-, C-, and X-Band Microwave Soil Moisture Product over the CZO in the Central Ganga Plains, India S. Dash & R. Sinha 10.3390/rs14071629
- Algal Biomass Accumulation in Waste Digestate after Anaerobic Digestion of Wheat Straw L. Kabaivanova et al. 10.3390/fermentation8120715
- Skill and sources of skill in seasonal streamflow hindcasts for South America made with ECMWF’s SEAS5 and VIC W. Greuell & R. Hutjes 10.1016/j.jhydrol.2022.128806
- Improving the Distributed Hydrological Model Performance in Upper Huai River Basin: Using Streamflow Observations to Update the Basin States via the Ensemble Kalman Filter Y. Liu et al. 10.1155/2016/4921616
- Regional assimilation of in situ observed soil moisture into the VIC model considering spatial variability J. Zhou et al. 10.1080/02626667.2019.1662024
- Uncertainty in soil moisture retrievals: An ensemble approach using SMOS L-band microwave data J. Quets et al. 10.1016/j.rse.2019.05.008
- Role of hydrological model structure in the assimilation of soil moisture for streamflow prediction A. Nayak et al. 10.1016/j.jhydrol.2021.126465
- Exploiting Satellite-Based Surface Soil Moisture for Flood Forecasting in the Mediterranean Area: State Update Versus Rainfall Correction C. Massari et al. 10.3390/rs10020292
- Equifinality and Flux Mapping: A New Approach to Model Evaluation and Process Representation Under Uncertainty S. Khatami et al. 10.1029/2018WR023750
- Improved Streamflow Simulation by Assimilating In Situ Soil Moisture in Lumped and Distributed Approaches of a Hydrological Model in a Headwater Catchment H. Li et al. 10.1007/s11269-024-03895-9
- Assimilation of Sentinel 1 and SMAP – based satellite soil moisture retrievals into SWAT hydrological model: the impact of satellite revisit time and product spatial resolution on flood simulations in small basins S. Azimi et al. 10.1016/j.jhydrol.2019.124367
- Correcting Satellite Precipitation Data and Assimilating Satellite-Derived Soil Moisture Data to Generate Ensemble Hydrological Forecasts within the HBV Rainfall-Runoff Model M. Ciupak et al. 10.3390/w11102138
- The ecohydrological response to soil moisture based on the distributed hydrological assimilation model in the mountain region Y. Li et al. 10.1002/eco.2606
- The efficacy of calibrating hydrologic model using remotely sensed evapotranspiration and soil moisture for streamflow prediction A. Kunnath-Poovakka et al. 10.1016/j.jhydrol.2016.02.018
- Interpreting the Manning Roughness Coefficient in Overland Flow Simulations with Coupled Hydrological-Hydraulic Distributed Models M. Sanz-Ramos et al. 10.3390/w13233433
- Integrating Climate Forecasts with the Soil and Water Assessment Tool (SWAT) for High-Resolution Hydrologic Simulations and Forecasts in the Southeastern U.S. V. Sehgal et al. 10.3390/su10093079
- Potential application of hydrological ensemble prediction in forecasting floods and its components over the Yarlung Zangbo River basin, China L. Liu et al. 10.5194/hess-23-3335-2019
- Assimilation of Satellite Soil Moisture Products for River Flow Prediction: An Extensive Experiment in Over 700 Catchments Throughout Europe D. De Santis et al. 10.1029/2021WR029643
- Data Assimilation of Satellite-Based Soil Moisture into a Distributed Hydrological Model for Streamflow Predictions N. Jadidoleslam et al. 10.3390/hydrology8010052
- Sensitivity‐Based Soil Moisture Assimilation for Improved Streamflow Forecast Using a Novel Forward Sensitivity Method (FSM) Approach R. Visweshwaran et al. 10.1029/2021WR031092
- Improved large-scale hydrological modelling through the assimilation of streamflow and downscaled satellite soil moisture observations P. López López et al. 10.5194/hess-20-3059-2016
- Data Assimilation of Satellite Soil Moisture into Rainfall-Runoff Modelling: A Complex Recipe? C. Massari et al. 10.3390/rs70911403
- Assimilation of near-real time data products into models of an urban basin J. Leach et al. 10.1016/j.jhydrol.2018.05.064
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Short summary
We assimilate satellite soil moisture into a rainfall-runoff model for improving flood prediction within a data-scarce region. We argue that the spatially distributed satellite data can alleviate the model prediction limitations. We show that satellite soil moisture DA reduces the uncertainty of the streamflow ensembles. We propose new techniques for the DA scheme, including seasonal error characterisation, bias correction of the satellite retrievals, and model error representation.
We assimilate satellite soil moisture into a rainfall-runoff model for improving flood...