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
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Latest update: 16 Jul 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...
