Articles | Volume 13, issue 3
Development and technical paper
17 Mar 2020
Development and technical paper |  | 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, Philip Y. Chu, Jonas Šukys, Gian Lieberherr, Stefan Wunderle, Alfred Wüest, and Damien Bouffard


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Damien Bouffard on behalf of the Authors (23 Oct 2019)  Author's response   Manuscript 
ED: Reject (19 Nov 2019) by Adrian Sandu
ED: Publish subject to minor revisions (review by editor) (03 Dec 2019) by Adrian Sandu
AR by Damien Bouffard on behalf of the Authors (10 Dec 2019)  Author's response 
ED: Publish as is (10 Feb 2020) by Adrian Sandu
AR by Damien Bouffard on behalf of the Authors (10 Feb 2020)
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.