Data assimilation of in situ and satellite remote sensing data to 3Dhydrodynamic lake models: a case study using Delft3D-FLOW v4.03and OpenDA v2.4

Baracchini, Theo; Chu, Philip Yifei; Šukys, Jonas; Lieberherr, Gian; Wunderle, Stefan; Wüest, Alfred; Bouffard, Damien (2020). Data assimilation of in situ and satellite remote sensing data to 3Dhydrodynamic lake models: a case study using Delft3D-FLOW v4.03and OpenDA v2.4. Geoscientific model development (GMD), 13(3), pp. 1267-1284. Copernicus Publications 10.5194/gmd-13-1267-2020

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The understanding of lakes physical dynamics is crucial to provide scientifically credible information for ecosystem management. We show how the combination of in-situ data, remote sensing observations and three-dimensional hydrodynamic numerical simulations is capable of delivering various spatio-temporal scales involved in lakes dynamics. This combination is achieved through data assimilation (DA) and uncertainty quantification. In this study, we present a flexible framework for DA into lakes three-dimensional hydrodynamic models. Using an Ensemble Kalman Filter, our approach accounts for model and observational uncertainties. We demonstrate the framework by assimilating in-situ and satellite remote sensing temperature data into a three-dimensional hydrodynamic model of Lake Geneva. Results show that DA effectively improves model performance over a broad range of spatio-temporal scales and physical processes. Overall, temperature errors have been reduced by 54 %. With a localization scheme, an ensemble size of 20 members is found to be sufficient to derive covariance matrices leading to satisfactory results. The entire framework has been developed for the constraints of operational systems and near real-time operations (e.g. integration into http://meteolakes.ch).

Item Type:

Journal Article (Original Article)

Division/Institute:

08 Faculty of Science > Institute of Geography > Physical Geography > Unit Remote Sensing
10 Strategic Research Centers > Oeschger Centre for Climate Change Research (OCCR)
08 Faculty of Science > Institute of Geography
08 Faculty of Science > Institute of Geography > Physical Geography

UniBE Contributor:

Lieberherr, Gian-Duri and Wunderle, Stefan

Subjects:

500 Science
500 Science > 550 Earth sciences & geology
900 History > 910 Geography & travel

ISSN:

1991-959X

Publisher:

Copernicus Publications

Language:

English

Submitter:

Stefan Wunderle

Date Deposited:

21 Apr 2020 10:52

Last Modified:

26 Apr 2020 02:46

Publisher DOI:

10.5194/gmd-13-1267-2020

Related URLs:

BORIS DOI:

10.7892/boris.141686

URI:

https://boris.unibe.ch/id/eprint/141686

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