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
Viewed
Total article views: 4,758 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 23 Sep 2014)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
2,794 | 1,820 | 144 | 4,758 | 160 | 154 |
- HTML: 2,794
- PDF: 1,820
- XML: 144
- Total: 4,758
- BibTeX: 160
- EndNote: 154
Total article views: 3,352 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 09 Apr 2015)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,816 | 1,414 | 122 | 3,352 | 137 | 134 |
- HTML: 1,816
- PDF: 1,414
- XML: 122
- Total: 3,352
- BibTeX: 137
- EndNote: 134
Total article views: 1,406 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 23 Sep 2014)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
978 | 406 | 22 | 1,406 | 23 | 20 |
- HTML: 978
- PDF: 406
- XML: 22
- Total: 1,406
- BibTeX: 23
- EndNote: 20
Cited
90 citations as recorded by crossref.
- State updating in Xin’anjiang model by Asynchronous Ensemble Kalman filtering with enhanced error models J. Gong et al. 10.1016/j.jhydrol.2024.131726
- A Review of Satellite-Derived Soil Moisture and Its Usage for Flood Estimation S. Kim et al. 10.1007/s41976-019-00025-7
- Flood Forecasting via the Ensemble Kalman Filter Method Using Merged Satellite and Measured Soil Moisture Data C. Zhang et al. 10.3390/w14101555
- State updating in a distributed hydrological model by ensemble Kalman filtering with error estimation J. Gong et al. 10.1016/j.jhydrol.2023.129450
- Flood Risk in Urban Areas: Modelling, Management and Adaptation to Climate Change. A Review L. Cea & P. Costabile 10.3390/hydrology9030050
- Framework for developing hybrid process-driven, artificial neural network and regression models for salinity prediction in river systems J. Hunter et al. 10.5194/hess-22-2987-2018
- Assessing 32-Day Hydrological Ensemble Forecasts in the Lake Champlain–Richelieu River Watershed M. Abaza et al. 10.1061/(ASCE)HE.1943-5584.0001983
- Evaluation of gridded soil moisture products over varied land covers, climates, and soil textures using in situ measurements: A case study of Lake Urmia Basin M. Saeedi et al. 10.1007/s00704-021-03678-x
- The Role of Satellite-Based Remote Sensing in Improving Simulated Streamflow: A Review D. Jiang & K. Wang 10.3390/w11081615
- Rationale and Efficacy of Assimilating Remotely Sensed Potential Evapotranspiration for Reduced Uncertainty of Hydrologic Models A. Rajib et al. 10.1029/2017WR021147
- Remotely sensed ET for streamflow modelling in catchments with contrasting flow characteristics: an attempt to improve efficiency A. Kunnath-Poovakka et al. 10.1007/s00477-018-1528-y
- Toward a Surface Soil Moisture Product at High Spatiotemporal Resolution: Temporally Interpolated, Spatially Disaggregated SMOS Data Y. Malbéteau et al. 10.1175/JHM-D-16-0280.1
- Earth Observation-Based Operational Estimation of Soil Moisture and Evapotranspiration for Agricultural Crops in Support of Sustainable Water Management G. Petropoulos et al. 10.3390/su10010181
- Dual assimilation of satellite soil moisture to improve streamflow prediction in data‐scarce catchments C. Alvarez‐Garreton et al. 10.1002/2015WR018429
- MERLIN: a flood hazard forecasting system for coastal river reaches I. Fraga et al. 10.1007/s11069-020-03855-7
- Assimilation of soil moisture and streamflow observations to improve flood forecasting with considering runoff routing lags S. Meng et al. 10.1016/j.jhydrol.2017.05.024
- Qualitative Hochwasservorhersage in Lenzkirch auf Basis von Bodenfeuchte- und Pegeldaten B. Mewes et al. 10.1007/s35147-023-1868-5
- Soil moisture and discharge modeling in a representative watershed in northeastern Brazil using SWAT C. Andrade et al. 10.1016/j.ecohyd.2018.09.002
- Soil Moisture Data Assimilation in a Hydrological Model: A Case Study in Belgium Using Large-Scale Satellite Data P. Baguis & E. Roulin 10.3390/rs9080820
- Multi-objective calibration of a hydrologic model using spatially distributed remotely sensed/in-situ soil moisture M. Rajib et al. 10.1016/j.jhydrol.2016.02.037
- Application of Remote Sensing Data to Constrain Operational Rainfall-Driven Flood Forecasting: A Review Y. Li et al. 10.3390/rs8060456
- Does AMSR2 produce better soil moisture retrievals than AMSR-E over Australia? E. Cho et al. 10.1016/j.rse.2016.10.050
- Evaluation of Backscattering Models and Support Vector Machine for the Retrieval of Bare Soil Moisture from Sentinel-1 Data J. Ezzahar et al. 10.3390/rs12010072
- Evaluation of medium-range ensemble flood forecasting based on calibration strategies and ensemble methods in Lanjiang Basin, Southeast China L. Liu et al. 10.1016/j.jhydrol.2017.08.032
- Modeling flood susceptibility zones using hybrid machine learning models of an agricultural dominant landscape of India S. Saini et al. 10.1007/s11356-023-29049-9
- Effect of rainfall uncertainty on the performance of physically based rainfall–runoff models I. Fraga et al. 10.1002/hyp.13319
- Soil moisture assimilation in urban watersheds: A method to identify the limiting imperviousness threshold based on watershed characteristics J. Leach & P. Coulibaly 10.1016/j.jhydrol.2020.124958
- Performance assessment of methods to estimate initial hydrologic conditions for event-based rainfall-runoff modelling V. Manikanta & N. Umamahesh 10.2166/wcc.2023.043
- Improving Streamflow Prediction Using Remotely-Sensed Soil Moisture and Snow Depth H. Lü et al. 10.3390/rs8060503
- On the assimilation set-up of ASCAT soil moisture data for improving streamflow catchment simulation J. Loizu et al. 10.1016/j.advwatres.2017.10.034
- The Impact of Assumed Error Variances on Surface Soil Moisture and Snow Depth Hydrologic Data Assimilation H. Lu et al. 10.1109/JSTARS.2015.2487740
- Analysis of Effects of Spatial Distributed Soil Properties and Soil Moisture Behavior on Hourly Streamflow Estimate through the Integration of SWAT and LSM S. Lee et al. 10.3390/su16041691
- Streamflow simulation in poorly gauged basins with regionalised assimilation using Kalman filter I. Georgievová et al. 10.1016/j.jhydrol.2023.129373
- Towards an ensemble-based short-term flood forecasting using an event-based flood model- incorporating catchment-average estimates of soil moisture K. Bahramian et al. 10.1016/j.jhydrol.2020.125828
- Simultaneous assimilation of in situ soil moisture and streamflow in the SWAT model using the Extended Kalman Filter L. Sun et al. 10.1016/j.jhydrol.2016.10.040
- Techniques for calibration and validation of SWAT model in data scarce arid and semi-arid catchments in South Africa A. Mengistu et al. 10.1016/j.ejrh.2019.100621
- Soil Moisture for Hydrological Applications: Open Questions and New Opportunities L. Brocca et al. 10.3390/w9020140
- Improvement of the soil-atmosphere interactions and subsequent heavy precipitation modelling by enhanced initialization using remotely sensed 1 km soil moisture information S. Helgert & S. Khodayar 10.1016/j.rse.2020.111812
- A Review of the Applications of ASCAT Soil Moisture Products L. Brocca et al. 10.1109/JSTARS.2017.2651140
- A novel framework to determine the usefulness of satellite-based soil moisture data in streamflow prediction using dynamic Budyko model A. Nayak et al. 10.1016/j.jhydrol.2020.125849
- A roadmap for high-resolution satellite soil moisture applications – confronting product characteristics with user requirements J. Peng et al. 10.1016/j.rse.2020.112162
- Error decomposition of nine passive and active microwave satellite soil moisture data sets over Australia C. Su et al. 10.1016/j.rse.2016.05.008
- Estimation of soil moisture from remote sensing products using an ensemble machine learning model: a case study of Lake Urmia Basin, Iran S. Asadollah et al. 10.1007/s12145-023-01172-8
- Spatio‐Temporal Model Variance‐Covariance Approach to Assimilating Streamflow Observations Into a Distributed Landscape Water Balance Model S. Tian et al. 10.1029/2021WR031649
- The Impact of Satellite Soil Moisture Data Assimilation on the Hydrological Modeling of SWAT in a Highly Disturbed Catchment Y. Liu et al. 10.3390/rs16020429
- First Evaluation of Aquarius Soil Moisture Products UsingIn SituObservations and GLDAS Model Simulations D. Li et al. 10.1109/JSTARS.2015.2452955
- Comprehensive Overview of Flood Modeling Approaches: A Review of Recent Advances V. Kumar et al. 10.3390/hydrology10070141
- Evaluation of State and Bias Estimates for Assimilation of SMOS Retrievals Into Conceptual Rainfall-Runoff Models V. Pauwels et al. 10.3389/frwa.2020.00004
- MERLIN: Una nueva herramienta para la predicción del riesgo de inundaciones en la demarcación hidrográfica Galicia-Costa I. Fraga et al. 10.4995/ia.2021.15565
- On the performance of satellite precipitation products in riverine flood modeling: A review V. Maggioni & C. Massari 10.1016/j.jhydrol.2018.01.039
- 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
- Characterizing soil water content variability across spatial scales from optimized high-resolution distributed temperature sensing technique M. Shehata et al. 10.1016/j.jhydrol.2022.128195
- Soil moisture estimation using RISAT-1 and SENTINEL-1 data using modified Dubois model in comparison with averaged NDVI P. Thanabalan et al. 10.1080/10106049.2021.2003443
- Towards hydrological model calibration using river level measurements J. Jian et al. 10.1016/j.ejrh.2016.12.085
- Environmental risk mapping of physical cultural heritage using an unmanned aerial remote sensing system: A case study of the Huang-Wei monument in Kinmen, Taiwan T. Su 10.1016/j.culher.2019.03.011
- 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
- Hydrologic model calibration using remotely sensed soil moisture and discharge measurements: The impact on predictions at gauged and ungauged locations Y. Li et al. 10.1016/j.jhydrol.2018.01.013
- Assimilation of SMOS brightness temperatures or soil moisture retrievals into a land surface model G. De Lannoy & R. Reichle 10.5194/hess-20-4895-2016
- 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
- A Prior Estimation of the Spatial Distribution Parameter of Soil Moisture Storage Capacity Using Satellite-Based Root-Zone Soil Moisture Data Y. Tian et al. 10.3390/rs11212580
- Parameter Uncertainty of a Hydrologic Model Calibrated with Remotely Sensed Evapotranspiration and Soil Moisture A. Kunnath-Poovakka et al. 10.1061/(ASCE)HE.1943-5584.0002055
- 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
- Impact of different satellite soil moisture products on the predictions of a continuous distributed hydrological model P. Laiolo et al. 10.1016/j.jag.2015.06.002
89 citations as recorded by crossref.
- State updating in Xin’anjiang model by Asynchronous Ensemble Kalman filtering with enhanced error models J. Gong et al. 10.1016/j.jhydrol.2024.131726
- A Review of Satellite-Derived Soil Moisture and Its Usage for Flood Estimation S. Kim et al. 10.1007/s41976-019-00025-7
- Flood Forecasting via the Ensemble Kalman Filter Method Using Merged Satellite and Measured Soil Moisture Data C. Zhang et al. 10.3390/w14101555
- State updating in a distributed hydrological model by ensemble Kalman filtering with error estimation J. Gong et al. 10.1016/j.jhydrol.2023.129450
- Flood Risk in Urban Areas: Modelling, Management and Adaptation to Climate Change. A Review L. Cea & P. Costabile 10.3390/hydrology9030050
- Framework for developing hybrid process-driven, artificial neural network and regression models for salinity prediction in river systems J. Hunter et al. 10.5194/hess-22-2987-2018
- Assessing 32-Day Hydrological Ensemble Forecasts in the Lake Champlain–Richelieu River Watershed M. Abaza et al. 10.1061/(ASCE)HE.1943-5584.0001983
- Evaluation of gridded soil moisture products over varied land covers, climates, and soil textures using in situ measurements: A case study of Lake Urmia Basin M. Saeedi et al. 10.1007/s00704-021-03678-x
- The Role of Satellite-Based Remote Sensing in Improving Simulated Streamflow: A Review D. Jiang & K. Wang 10.3390/w11081615
- Rationale and Efficacy of Assimilating Remotely Sensed Potential Evapotranspiration for Reduced Uncertainty of Hydrologic Models A. Rajib et al. 10.1029/2017WR021147
- Remotely sensed ET for streamflow modelling in catchments with contrasting flow characteristics: an attempt to improve efficiency A. Kunnath-Poovakka et al. 10.1007/s00477-018-1528-y
- Toward a Surface Soil Moisture Product at High Spatiotemporal Resolution: Temporally Interpolated, Spatially Disaggregated SMOS Data Y. Malbéteau et al. 10.1175/JHM-D-16-0280.1
- Earth Observation-Based Operational Estimation of Soil Moisture and Evapotranspiration for Agricultural Crops in Support of Sustainable Water Management G. Petropoulos et al. 10.3390/su10010181
- Dual assimilation of satellite soil moisture to improve streamflow prediction in data‐scarce catchments C. Alvarez‐Garreton et al. 10.1002/2015WR018429
- MERLIN: a flood hazard forecasting system for coastal river reaches I. Fraga et al. 10.1007/s11069-020-03855-7
- Assimilation of soil moisture and streamflow observations to improve flood forecasting with considering runoff routing lags S. Meng et al. 10.1016/j.jhydrol.2017.05.024
- Qualitative Hochwasservorhersage in Lenzkirch auf Basis von Bodenfeuchte- und Pegeldaten B. Mewes et al. 10.1007/s35147-023-1868-5
- Soil moisture and discharge modeling in a representative watershed in northeastern Brazil using SWAT C. Andrade et al. 10.1016/j.ecohyd.2018.09.002
- Soil Moisture Data Assimilation in a Hydrological Model: A Case Study in Belgium Using Large-Scale Satellite Data P. Baguis & E. Roulin 10.3390/rs9080820
- Multi-objective calibration of a hydrologic model using spatially distributed remotely sensed/in-situ soil moisture M. Rajib et al. 10.1016/j.jhydrol.2016.02.037
- Application of Remote Sensing Data to Constrain Operational Rainfall-Driven Flood Forecasting: A Review Y. Li et al. 10.3390/rs8060456
- Does AMSR2 produce better soil moisture retrievals than AMSR-E over Australia? E. Cho et al. 10.1016/j.rse.2016.10.050
- Evaluation of Backscattering Models and Support Vector Machine for the Retrieval of Bare Soil Moisture from Sentinel-1 Data J. Ezzahar et al. 10.3390/rs12010072
- Evaluation of medium-range ensemble flood forecasting based on calibration strategies and ensemble methods in Lanjiang Basin, Southeast China L. Liu et al. 10.1016/j.jhydrol.2017.08.032
- Modeling flood susceptibility zones using hybrid machine learning models of an agricultural dominant landscape of India S. Saini et al. 10.1007/s11356-023-29049-9
- Effect of rainfall uncertainty on the performance of physically based rainfall–runoff models I. Fraga et al. 10.1002/hyp.13319
- Soil moisture assimilation in urban watersheds: A method to identify the limiting imperviousness threshold based on watershed characteristics J. Leach & P. Coulibaly 10.1016/j.jhydrol.2020.124958
- Performance assessment of methods to estimate initial hydrologic conditions for event-based rainfall-runoff modelling V. Manikanta & N. Umamahesh 10.2166/wcc.2023.043
- Improving Streamflow Prediction Using Remotely-Sensed Soil Moisture and Snow Depth H. Lü et al. 10.3390/rs8060503
- On the assimilation set-up of ASCAT soil moisture data for improving streamflow catchment simulation J. Loizu et al. 10.1016/j.advwatres.2017.10.034
- The Impact of Assumed Error Variances on Surface Soil Moisture and Snow Depth Hydrologic Data Assimilation H. Lu et al. 10.1109/JSTARS.2015.2487740
- Analysis of Effects of Spatial Distributed Soil Properties and Soil Moisture Behavior on Hourly Streamflow Estimate through the Integration of SWAT and LSM S. Lee et al. 10.3390/su16041691
- Streamflow simulation in poorly gauged basins with regionalised assimilation using Kalman filter I. Georgievová et al. 10.1016/j.jhydrol.2023.129373
- Towards an ensemble-based short-term flood forecasting using an event-based flood model- incorporating catchment-average estimates of soil moisture K. Bahramian et al. 10.1016/j.jhydrol.2020.125828
- Simultaneous assimilation of in situ soil moisture and streamflow in the SWAT model using the Extended Kalman Filter L. Sun et al. 10.1016/j.jhydrol.2016.10.040
- Techniques for calibration and validation of SWAT model in data scarce arid and semi-arid catchments in South Africa A. Mengistu et al. 10.1016/j.ejrh.2019.100621
- Soil Moisture for Hydrological Applications: Open Questions and New Opportunities L. Brocca et al. 10.3390/w9020140
- Improvement of the soil-atmosphere interactions and subsequent heavy precipitation modelling by enhanced initialization using remotely sensed 1 km soil moisture information S. Helgert & S. Khodayar 10.1016/j.rse.2020.111812
- A Review of the Applications of ASCAT Soil Moisture Products L. Brocca et al. 10.1109/JSTARS.2017.2651140
- A novel framework to determine the usefulness of satellite-based soil moisture data in streamflow prediction using dynamic Budyko model A. Nayak et al. 10.1016/j.jhydrol.2020.125849
- A roadmap for high-resolution satellite soil moisture applications – confronting product characteristics with user requirements J. Peng et al. 10.1016/j.rse.2020.112162
- Error decomposition of nine passive and active microwave satellite soil moisture data sets over Australia C. Su et al. 10.1016/j.rse.2016.05.008
- Estimation of soil moisture from remote sensing products using an ensemble machine learning model: a case study of Lake Urmia Basin, Iran S. Asadollah et al. 10.1007/s12145-023-01172-8
- Spatio‐Temporal Model Variance‐Covariance Approach to Assimilating Streamflow Observations Into a Distributed Landscape Water Balance Model S. Tian et al. 10.1029/2021WR031649
- The Impact of Satellite Soil Moisture Data Assimilation on the Hydrological Modeling of SWAT in a Highly Disturbed Catchment Y. Liu et al. 10.3390/rs16020429
- First Evaluation of Aquarius Soil Moisture Products UsingIn SituObservations and GLDAS Model Simulations D. Li et al. 10.1109/JSTARS.2015.2452955
- Comprehensive Overview of Flood Modeling Approaches: A Review of Recent Advances V. Kumar et al. 10.3390/hydrology10070141
- Evaluation of State and Bias Estimates for Assimilation of SMOS Retrievals Into Conceptual Rainfall-Runoff Models V. Pauwels et al. 10.3389/frwa.2020.00004
- MERLIN: Una nueva herramienta para la predicción del riesgo de inundaciones en la demarcación hidrográfica Galicia-Costa I. Fraga et al. 10.4995/ia.2021.15565
- On the performance of satellite precipitation products in riverine flood modeling: A review V. Maggioni & C. Massari 10.1016/j.jhydrol.2018.01.039
- 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
- Characterizing soil water content variability across spatial scales from optimized high-resolution distributed temperature sensing technique M. Shehata et al. 10.1016/j.jhydrol.2022.128195
- Soil moisture estimation using RISAT-1 and SENTINEL-1 data using modified Dubois model in comparison with averaged NDVI P. Thanabalan et al. 10.1080/10106049.2021.2003443
- Towards hydrological model calibration using river level measurements J. Jian et al. 10.1016/j.ejrh.2016.12.085
- Environmental risk mapping of physical cultural heritage using an unmanned aerial remote sensing system: A case study of the Huang-Wei monument in Kinmen, Taiwan T. Su 10.1016/j.culher.2019.03.011
- 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
- Hydrologic model calibration using remotely sensed soil moisture and discharge measurements: The impact on predictions at gauged and ungauged locations Y. Li et al. 10.1016/j.jhydrol.2018.01.013
- Assimilation of SMOS brightness temperatures or soil moisture retrievals into a land surface model G. De Lannoy & R. Reichle 10.5194/hess-20-4895-2016
- 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
- A Prior Estimation of the Spatial Distribution Parameter of Soil Moisture Storage Capacity Using Satellite-Based Root-Zone Soil Moisture Data Y. Tian et al. 10.3390/rs11212580
- Parameter Uncertainty of a Hydrologic Model Calibrated with Remotely Sensed Evapotranspiration and Soil Moisture A. Kunnath-Poovakka et al. 10.1061/(ASCE)HE.1943-5584.0002055
- 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
Saved (final revised paper)
Saved (preprint)
Latest update: 21 Nov 2024
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...