Integrating hydrological modelling, data assimilation and cloud computing for real-time management of water resources

Kurtz, Wolfgang; Lapin, Andrei; Schilling, Oliver S.; Tang, Qi; Schiller, Eryk Jerzy; Braun, Torsten; Hunkeler, Daniel; Vereecken, Harry; Sudicky, Edward; Kropf, Peter; Franssen, Harrie-Jan Hendricks; Brunner, Philip (2017). Integrating hydrological modelling, data assimilation and cloud computing for real-time management of water resources. Environmental modelling & software, 93, pp. 418-435. Elsevier 10.1016/j.envsoft.2017.03.011

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Online data acquisition, data assimilation and integrated hydrological modelling have become more and more important in hydrological science. In this study, we explore cloud computing for integrating field data acquisition and stochastic, physically-based hydrological modelling in a data assimilation and optimisation framework as a service to water resources management. For this purpose, we developed an ensemble Kalman filter-based data assimilation system for the fully-coupled, physically-based hydrological model HydroGeoSphere, which is able to run in a cloud computing environment. A synthetic data assimilation experiment based on the widely used tilted V-catchment problem showed that the computational overhead for the application of the data assimilation platform in a cloud computing environment is minimal, which makes it well-suited for practical water management problems. Advantages of the cloud-based implementation comprise the independence from computational infrastructure and the straightforward integration of cloud-based observation databases with the modelling and data assimilation platform.

Item Type:

Journal Article (Original Article)

Division/Institute:

08 Faculty of Science > Institute of Computer Science (INF) > Communication and Distributed Systems (CDS)
08 Faculty of Science > Institute of Computer Science (INF)

UniBE Contributor:

Schiller, Eryk Jerzy and Braun, Torsten

Subjects:

000 Computer science, knowledge & systems
500 Science > 510 Mathematics

ISSN:

1364-8152

Publisher:

Elsevier

Language:

English

Submitter:

Sayed Ali Marandi

Date Deposited:

08 May 2017 10:55

Last Modified:

08 Aug 2017 07:38

Publisher DOI:

10.1016/j.envsoft.2017.03.011

Uncontrolled Keywords:

Wireless sensor networks

BORIS DOI:

10.7892/boris.99550

URI:

https://boris.unibe.ch/id/eprint/99550

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