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: | |
Language: | English |
Status: | Completed |
Constraints
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 |
Geographic
Specific Information - Publication
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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Page Visits: | 805 |
Metadata Downloads: | 0 |
Dataset Downloads: | 1 |
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