Articles | Volume 13, issue 3
https://doi.org/10.5194/gmd-13-1267-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-13-1267-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
17 Mar 2020
Development and technical paper |
| 17 Mar 2020
| 17 Mar 2020
Data assimilation of in situ and satellite remote sensing data to 3D hydrodynamic lake models: a case study using Delft3D-FLOW v4.03 and OpenDA v2.4
Theo Baracchini
Physics of Aquatic Systems Laboratory (APHYS) – Margaretha Kamprad
Chair, ENAC, EPFL, Lausanne, 1015, Switzerland
Philip Y. Chu
Great Lakes Environmental Research Laboratory, NOAA, Ann Arbor, MI
48108, USA
Jonas Šukys
Eawag, Swiss Federal Institute of Aquatic Science and Technology,
Systems Analysis, Integrated Assessment and Modelling, Dübendorf, 8600,
Switzerland
Gian Lieberherr
Oeschger Centre for Climate Change Research, Institute of Geography,
University of Bern, Bern, 3012, Switzerland
Stefan Wunderle
Oeschger Centre for Climate Change Research, Institute of Geography,
University of Bern, Bern, 3012, Switzerland
Alfred Wüest
Physics of Aquatic Systems Laboratory (APHYS) – Margaretha Kamprad
Chair, ENAC, EPFL, Lausanne, 1015, Switzerland
Eawag, Swiss Federal Institute of Aquatic Science and Technology,
Surface Waters – Research and Management, Kastanienbaum, 6047, Switzerland
Eawag, Swiss Federal Institute of Aquatic Science and Technology,
Surface Waters – Research and Management, Kastanienbaum, 6047, Switzerland
Viewed
Total article views: 4,116 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 21 Mar 2019)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,592 | 1,419 | 105 | 4,116 | 109 | 102 |
- HTML: 2,592
- PDF: 1,419
- XML: 105
- Total: 4,116
- BibTeX: 109
- EndNote: 102
Total article views: 3,198 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 17 Mar 2020)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,229 | 873 | 96 | 3,198 | 82 | 90 |
- HTML: 2,229
- PDF: 873
- XML: 96
- Total: 3,198
- BibTeX: 82
- EndNote: 90
Total article views: 918 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 21 Mar 2019)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 363 | 546 | 9 | 918 | 27 | 12 |
- HTML: 363
- PDF: 546
- XML: 9
- Total: 918
- BibTeX: 27
- EndNote: 12
Viewed (geographical distribution)
Total article views: 4,116 (including HTML, PDF, and XML)
Thereof 3,601 with geography defined
and 515 with unknown origin.
Total article views: 3,198 (including HTML, PDF, and XML)
Thereof 2,850 with geography defined
and 348 with unknown origin.
Total article views: 918 (including HTML, PDF, and XML)
Thereof 751 with geography defined
and 167 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
32 citations as recorded by crossref.
- Investigating the sub-daily dynamics of cyanobacterial blooms by coupling high-frequency time-series remote sensing with hydro-ecological modelling H. Li et al. 10.1016/j.jenvman.2022.115311
- A Data Assimilation Approach to the Modeling of 3D Hydrodynamic Flow Velocity in River Reaches Y. Sun et al. 10.3390/w14223598
- Linking catchment and hydrodynamic models for environmental flow analysis in hypersaline lakes M. Sedighkia & B. Datta 10.2166/ws.2023.320
- Recent Developments to the SimSphere Land Surface Modelling Tool for the Study of Land–Atmosphere Interactions G. Petropoulos & C. Lekka 10.3390/s24103024
- A Bayesian data assimilation framework for lake 3D hydrodynamic models with a physics-preserving particle filtering method using SPUX-MITgcm v1 A. Safin et al. 10.5194/gmd-15-7715-2022
- Assessment of an ensemble-based data assimilation system for a shallow estuary M. Khanarmuei et al. 10.1016/j.ecss.2021.107389
- Level Variations in the Caspian Sea under Different Climate Conditions by the Data of Simulation under CMIP6 Project A. Kislov & P. Morozova 10.1134/S0097807821060099
- Deterministic modelling of freshwater lakes and reservoirs: Current trends and recent progress L. Soares & M. Calijuri 10.1016/j.envsoft.2021.105143
- Advancements and Challenges in Deep Learning-Driven Marine Data Assimilation: A Comprehensive Review Y. Ma et al. 10.61186/crpase.9.4.2876
- Lagrangian Data Assimilation for Improving Model Estimates of Velocity Fields and Residual Currents in a Tidal Estuary N. Mardani et al. 10.3390/app112211006
- Long-term responses of internal environment dynamics in a freshwater lake to variations in external nutrient inputs: A model simulation approach M. Chen et al. 10.1016/j.scitotenv.2024.175514
- IMPLEMENTATION AND VALIDATION OF A DATA ASSIMILATION METHOD BASED ON AN ENSEMBLE KALMAN FILTER USING RESERVOIR OBSERVED WATER TEMPERATURES T. OKAZAWA & T. SHINTANI 10.2208/jscejj.23-16135
- An aerosol vertical data assimilation system (NAQPMS-PDAF v1.0): development and application H. Wang et al. 10.5194/gmd-15-3555-2022
- An automated calibration framework and open source tools for 3D lake hydrodynamic models T. Baracchini et al. 10.1016/j.envsoft.2020.104787
- Assessing the thermal regime of poorly monitored reservoirs with a combined satellite and three-dimensional modeling approach N. Sharaf et al. 10.1080/20442041.2021.1913937
- Satellite and Machine Learning Monitoring of Optically Inactive Water Quality Variability in a Tropical River N. Li et al. 10.3390/rs14215466
- Investigation of marine temperature changes across temporal and spatial Gradients: Providing a fundament for studies on the effects of warming on marine ecosystem function and biodiversity F. Amorim et al. 10.1016/j.pocean.2023.103080
- Multi-index ensemble Kalman filtering H. Hoel et al. 10.1016/j.jcp.2022.111561
- Contributions from climate variation and human activities to flow regime change of Tonle Sap Lake from 2001 to 2020 K. Morovati et al. 10.1016/j.jhydrol.2022.128800
- Lake Water Temperature Modeling in an Era of Climate Change: Data Sources, Models, and Future Prospects S. Piccolroaz et al. 10.1029/2023RG000816
- A Near‐Term Iterative Forecasting System Successfully Predicts Reservoir Hydrodynamics and Partitions Uncertainty in Real Time R. Thomas et al. 10.1029/2019WR026138
- Coupling remote sensing and particle tracking to estimate trajectories in large water bodies C. Li et al. 10.1016/j.jag.2022.102809
- Geospatial Artificial Intelligence (GeoAI) in the Integrated Hydrological and Fluvial Systems Modeling: Review of Current Applications and Trends C. Gonzales-Inca et al. 10.3390/w14142211
- The role of wind-wave related processes in redistributing river-derived terrigenous sediments in Lake Turkana: A modelling study F. Zăinescu et al. 10.1016/j.jglr.2022.12.013
- Integrating Inland and Coastal Water Quality Data for Actionable Knowledge G. El Serafy et al. 10.3390/rs13152899
- Basin-scale gyres and mesoscale eddies in large lakes: a novel procedure for their detection and characterization, assessed in Lake Geneva S. Hamze-Ziabari et al. 10.5194/gmd-15-8785-2022
- Sim2DSphere: A novel modelling tool for the study of land surface interactions G. Petropoulos et al. 10.1016/j.envsoft.2024.106086
- Multi-scale evaluation of a 3D lake model forced by an atmospheric model against standard monitoring data M. Amadori et al. 10.1016/j.envsoft.2021.105017
- Assimilation of GPS-tracked drifter data to improve the Eulerian velocity fields in an estuary M. Khanarmuei et al. 10.1016/j.ecss.2021.107575
- Data assimilation experiments inform monitoring needs for near‐term ecological forecasts in a eutrophic reservoir H. Wander et al. 10.1002/ecs2.4752
- A short review of contemporary developments in aquatic ecosystem modelling of lakes and reservoirs M. Frassl et al. 10.1016/j.envsoft.2019.03.024
- Multi-column modelling of lake Geneva for climate applications R. Gaillard et al. 10.1038/s41598-021-04061-6
30 citations as recorded by crossref.
- Investigating the sub-daily dynamics of cyanobacterial blooms by coupling high-frequency time-series remote sensing with hydro-ecological modelling H. Li et al. 10.1016/j.jenvman.2022.115311
- A Data Assimilation Approach to the Modeling of 3D Hydrodynamic Flow Velocity in River Reaches Y. Sun et al. 10.3390/w14223598
- Linking catchment and hydrodynamic models for environmental flow analysis in hypersaline lakes M. Sedighkia & B. Datta 10.2166/ws.2023.320
- Recent Developments to the SimSphere Land Surface Modelling Tool for the Study of Land–Atmosphere Interactions G. Petropoulos & C. Lekka 10.3390/s24103024
- A Bayesian data assimilation framework for lake 3D hydrodynamic models with a physics-preserving particle filtering method using SPUX-MITgcm v1 A. Safin et al. 10.5194/gmd-15-7715-2022
- Assessment of an ensemble-based data assimilation system for a shallow estuary M. Khanarmuei et al. 10.1016/j.ecss.2021.107389
- Level Variations in the Caspian Sea under Different Climate Conditions by the Data of Simulation under CMIP6 Project A. Kislov & P. Morozova 10.1134/S0097807821060099
- Deterministic modelling of freshwater lakes and reservoirs: Current trends and recent progress L. Soares & M. Calijuri 10.1016/j.envsoft.2021.105143
- Advancements and Challenges in Deep Learning-Driven Marine Data Assimilation: A Comprehensive Review Y. Ma et al. 10.61186/crpase.9.4.2876
- Lagrangian Data Assimilation for Improving Model Estimates of Velocity Fields and Residual Currents in a Tidal Estuary N. Mardani et al. 10.3390/app112211006
- Long-term responses of internal environment dynamics in a freshwater lake to variations in external nutrient inputs: A model simulation approach M. Chen et al. 10.1016/j.scitotenv.2024.175514
- IMPLEMENTATION AND VALIDATION OF A DATA ASSIMILATION METHOD BASED ON AN ENSEMBLE KALMAN FILTER USING RESERVOIR OBSERVED WATER TEMPERATURES T. OKAZAWA & T. SHINTANI 10.2208/jscejj.23-16135
- An aerosol vertical data assimilation system (NAQPMS-PDAF v1.0): development and application H. Wang et al. 10.5194/gmd-15-3555-2022
- An automated calibration framework and open source tools for 3D lake hydrodynamic models T. Baracchini et al. 10.1016/j.envsoft.2020.104787
- Assessing the thermal regime of poorly monitored reservoirs with a combined satellite and three-dimensional modeling approach N. Sharaf et al. 10.1080/20442041.2021.1913937
- Satellite and Machine Learning Monitoring of Optically Inactive Water Quality Variability in a Tropical River N. Li et al. 10.3390/rs14215466
- Investigation of marine temperature changes across temporal and spatial Gradients: Providing a fundament for studies on the effects of warming on marine ecosystem function and biodiversity F. Amorim et al. 10.1016/j.pocean.2023.103080
- Multi-index ensemble Kalman filtering H. Hoel et al. 10.1016/j.jcp.2022.111561
- Contributions from climate variation and human activities to flow regime change of Tonle Sap Lake from 2001 to 2020 K. Morovati et al. 10.1016/j.jhydrol.2022.128800
- Lake Water Temperature Modeling in an Era of Climate Change: Data Sources, Models, and Future Prospects S. Piccolroaz et al. 10.1029/2023RG000816
- A Near‐Term Iterative Forecasting System Successfully Predicts Reservoir Hydrodynamics and Partitions Uncertainty in Real Time R. Thomas et al. 10.1029/2019WR026138
- Coupling remote sensing and particle tracking to estimate trajectories in large water bodies C. Li et al. 10.1016/j.jag.2022.102809
- Geospatial Artificial Intelligence (GeoAI) in the Integrated Hydrological and Fluvial Systems Modeling: Review of Current Applications and Trends C. Gonzales-Inca et al. 10.3390/w14142211
- The role of wind-wave related processes in redistributing river-derived terrigenous sediments in Lake Turkana: A modelling study F. Zăinescu et al. 10.1016/j.jglr.2022.12.013
- Integrating Inland and Coastal Water Quality Data for Actionable Knowledge G. El Serafy et al. 10.3390/rs13152899
- Basin-scale gyres and mesoscale eddies in large lakes: a novel procedure for their detection and characterization, assessed in Lake Geneva S. Hamze-Ziabari et al. 10.5194/gmd-15-8785-2022
- Sim2DSphere: A novel modelling tool for the study of land surface interactions G. Petropoulos et al. 10.1016/j.envsoft.2024.106086
- Multi-scale evaluation of a 3D lake model forced by an atmospheric model against standard monitoring data M. Amadori et al. 10.1016/j.envsoft.2021.105017
- Assimilation of GPS-tracked drifter data to improve the Eulerian velocity fields in an estuary M. Khanarmuei et al. 10.1016/j.ecss.2021.107575
- Data assimilation experiments inform monitoring needs for near‐term ecological forecasts in a eutrophic reservoir H. Wander et al. 10.1002/ecs2.4752
Latest update: 14 Dec 2024
Short summary
Lake physical processes occur at a wide range of spatiotemporal scales. 3D hydrodynamic lake models are the only information source capable of solving those scales; however, they still need observations to be calibrated and to constrain their uncertainties. The optimal combination of a 3D hydrodynamic model, in situ measurements, and remote sensing observations is achieved through data assimilation. Here we present a complete data assimilation experiment for lakes using open-source tools.
Lake physical processes occur at a wide range of spatiotemporal scales. 3D hydrodynamic lake...
