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

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Title:Main Title: Integrating hydrological modelling, data assimilation and cloud computing for real-time management of water resources
Description:Abstract: 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.
Identifier:10.1016/j.envsoft.2017.03.011 (DOI)
Citation Advice:Kurtz, W., Lapin, A., Schilling, O.S., Tang, Q., Schiller, E., Braun, T., Hunkeler, D., Vereecken, H., Sudicky, E., Kropf, P., Hendricks Franssen, H.-J., Brunner, P., 2017. Integrating hydrological modelling, data assimilation and cloud computing for real-time management of water resources. Environ. Modell. Software 93, 418-435, DOI: 10.1016/j.envsoft.2017.03.011.
Responsible Party
Creators:Wolfgang Kurtz (Author), Andrei Lapin (Author), Oliver S. Schilling (Author), Qi Tang (Author), Eryk Schiller (Author), Torsten Braun (Author), Daniel Hunkeler (Author), Harry Vereecken (Author), Edward Sudicky (Author), Peter Kropf (Author), Harrie-Jan Hendricks-Franssen (Author), Philip Brunner (Author)
Publisher:Elsevier
Publication Year:2017
Topic
TR32 Topic:Other
Related Subproject:C6
Subjects:Keywords: Data Assimilation, Groundwater Hydrology, Modelling
File Details
Filename:Kurtz_etal_2017_EnvSoft.pdf
Data Type:Text - Article
File Size:6.1 MB
Date:Accepted: 11.03.2017
Mime Type:application/pdf
Data Format:PDF
Language:English
Status:Completed
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Download Permission:Only Project Members
General Access and Use Conditions:According to the TR32DB data policy agreement.
Access Limitations:According to the TR32DB data policy agreement.
Licence:[TR32DB] Data policy agreement
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Publication Status:Accepted
Review Status:Peer reviewed
Publication Type:Article
Article Type:Journal
Source:Environmental Modelling & Software
Volume:93
Number of Pages:18 (418 - 435)
Metadata Details
Metadata Creator:Wolfgang Kurtz
Metadata Created:06.10.2017
Metadata Last Updated:06.10.2017
Subproject:C6
Funding Phase:3
Metadata Language:English
Metadata Version:V50
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