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Data and Model Integration, Evaluation, Application, and Provenance with CyberWater and Its Toolkits

Luna, Daniel (2023) Data and Model Integration, Evaluation, Application, and Provenance with CyberWater and Its Toolkits. Doctoral Dissertation, University of Pittsburgh. (Unpublished)

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Abstract

To tackle fundamental scientific questions in the Earth system consisting of hydrological, biological, environmental, atmospheric, and other geosciences, researchers need to access diverse data sources, incorporate them into heterogeneous models, and couple these models flexibly. A new sustainable and easy-to-use Open Data and Open Modeling framework called CyberWater has been developed. The core cyberinfrastructure of CyberWater is the Meta-Scientific-Modeling (MSM) (Salas et al., 2020), which addresses the challenges of accessing heterogeneous data sources via the Open Data architecture through Data Agents. These are used to remotely access data associated with different data protocols, metadata standards, and source-specific formats. The Open Modeling architecture allows various models to be easily integrated into MSM via Model Agents or generic model agent toolkits and enables direct heterogeneous model coupling. CyberWater does not require re-compiling or adding interface codes for any model integration and adopts a visual scientific workflow system as its workflow engine.
This dissertation study focuses on testing and verifying the CyberWater cyberinfrastructure, its continuing development, and the novel model coupling applications leveraged by its open data and open modeling architecture. The Open Data architecture is demonstrated by integrating more than 10 data agents. The Open Model architecture of the CyberWater system is demonstrated first by the development of model agents to test the accuracy and flexibility of the generic model agent toolkits on integrating the user’s model into CyberWater with little or no coding. We also test the capability of CyberWater on one-way and two-way model couplings at the workflow level without the need to change models’ original codes. A static parameter agent toolkit and GIS tools were developed into CyberWater to expand on the provenance features of the system and to facilitate the error-prone parameter file preparations of diverse models.
These CyberWater features have been tested over various watersheds in the US. These examples showcase the eleven data agents and the seven models that have been integrated and tested inside the framework, including irregular-grid-based models. Finally, examples presenting CyberWater’s flexible and loose-model-coupling capabilities are shown, where models such as VIC, CASA-CNP, and Routing are executed in one-way and two-way coupling configurations.


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Details

Item Type: University of Pittsburgh ETD
Status: Unpublished
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Luna, Danieldel47@pitt.edudel470000-0002-2866-9668
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairLiang, Xuxuliang@pitt.eduxuliang0000-0001-7397-2490
Committee MemberLin, Jeen-Shangjslin@pitt.edujslin0000-0002-8382-7796
Committee MemberMao, Zhi-Hongzhm4@pitt.eduzhm40000-0002-3025-463X
Committee MemberKhanna, Vikaskhannav@pitt.edukhannav0000-0002-7211-5195
Date: 19 January 2023
Date Type: Publication
Defense Date: 4 November 2022
Approval Date: 19 January 2023
Submission Date: 31 October 2022
Access Restriction: 2 year -- Restrict access to University of Pittsburgh for a period of 2 years.
Number of Pages: 144
Institution: University of Pittsburgh
Schools and Programs: Swanson School of Engineering > Civil and Environmental Engineering
Degree: PhD - Doctor of Philosophy
Thesis Type: Doctoral Dissertation
Refereed: Yes
Uncontrolled Keywords: Model coupling, workflow interface, simulations, hydrology, environment, data retrieval, data transformation
Date Deposited: 19 Jan 2023 19:23
Last Modified: 19 Jan 2023 19:23
URI: http://d-scholarship.pitt.edu/id/eprint/43823

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  • Data and Model Integration, Evaluation, Application, and Provenance with CyberWater and Its Toolkits. (deposited 19 Jan 2023 19:23) [Currently Displayed]

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