Developing HowLeaky platform for improved governance, facilitation of development, and open reproducible science: final report

Technical report

Ghahramani, Afshin, Anderson, Roy and Doherty, Al. 2019. Developing HowLeaky platform for improved governance, facilitation of development, and open reproducible science: final report. Toowoomba, Australia. University of Southern Queensland.
Title

Developing HowLeaky platform for improved governance, facilitation of development, and open reproducible science: final report

Report TypeTechnical report
AuthorsGhahramani, Afshin (Author), Anderson, Roy (Author) and Doherty, Al (Author)
EditorsJenny, Riches
Institution of OriginUniversity of Southern Queensland
Number of Pages43
SeriesUSQ CSAS Publication 1006688-19
Year2019
PublisherUniversity of Southern Queensland
Place of PublicationToowoomba, Australia
Web Address (URL)https://science.des.qld.gov.au/__data/assets/pdf_file/0024/85173/usq-howleaky.pdf
Abstract

HowLeaky is an important asset for the Queensland Government, universities, research institutes and is useful for estimating water balance and water quality for a range of land uses and management options. It is applied to benchmarking water quality changes associated with the Great Barrier Reef catchment investments.

This project has developed a new web-based platform for the HowLeaky model to facilitate improved management, development and governance of the model. This was delivered through a collaborative research agreement between the University of Southern Queensland and the Queensland Government, Department of Science and Environment.

With these enhancements and improved accessibility and management, HowLeaky becomes a community governed model, with software, source code, and experimental datasets required for development being accessible and freely available through the HowLeaky website (www.howleaky.com). Tasks completed during this project included:

1. Model code translated from C++ to C# and a new command line version of HowLeaky developed;
2. A hosting framework developed with model source code placed on GitHub while the web-based platform and databases are on three servers hosted by Nectar (The National eResearch Collaboration Tools and Resources project) infrastructure;
3. Code and model parameter change submission process was automated;
4. A web-based interface developed to facilitate code modifications and automate model validation using key datasets and parameters of calibrated models;
5. Available datasets and parameters archived on the website and available to users;
6. Workflow developed to facilitate access and archival of data and parameters within the hosting framework;
7. Terms of reference and peer review procedures developed, documented and agreed;
8. An oversight committee convened for peer review;
9. The model can be run via the website, building on previous examples and having access to external databases of climate (P51 from SILO) and soil descriptions (Soil and Landscape Grid of Australia) using Application Programming Interfaces (APIs); and
10. The model has a Swagger UI for HowLeaky REST API which can be accessed by third parties for review, using related API the simulations can be run on the cloud.

Given the nature of developing new software, this development should be regarded as a first phase of an ongoing development process, while completing all deliverables of the project. The software has not yet been tested with a user group to determine the user reaction or system robustness (was not part of the project). It is expected that future iterations of software development will be required following feedback received from both modellers and developers. Additional time, effort and resources may be required to ensure model uptake of this version of HowLeaky within the Queensland Water Modelling Network.

A peer review and support framework including a HowLeaky Steering Committee and Panel were developed to oversee model peer review activities and governance. The Panel includes members from the Queensland Government, the University of Southern Queensland and the private sector. The activities of the Panel are overseen by a Steering Committee which consists of the delegate(s) from the Queensland Government and the University of Southern Queensland. The Steering Committee ensures on-going support for the development and use of HowLeaky.

KeywordsHowLeaky; water balance; water quality; web-based platform; computer simulation
ANZSRC Field of Research 2020370704. Surface water hydrology
300207. Agricultural systems analysis and modelling
410605. Soil physics
Public Notes

Copyright and disclaimer:
Printed in October 2019 by the USQ Centre for Sustainable Agricultural Systems, Toowoomba. Material from this publication is subject to copyright and may not be used, in whole or part, unless formal acknowledgement to the research institution is made. This report is the work of the author and does not represent the views or policies of the Queensland Government.

Byline AffiliationsCentre for Sustainable Agricultural Systems
University of Queensland
Funding source
Grant ID
partnership between DES and University of Southern Queensland.
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Systemic adaptations to climate change in southern Australian grasslands and livestock: production, profitability, methane emission and ecosystem function
Ghahramani, Afshin and Moore, Andrew D.. 2015. "Systemic adaptations to climate change in southern Australian grasslands and livestock: production, profitability, methane emission and ecosystem function." Agricultural Systems. 133, pp. 158-166. https://doi.org/10.1016/j.agsy.2014.11.003
The value of adapting to climate change in Australian wheat farm systems: farm to cross-regional scale
Ghahramani, Afshin, Kokic, Philip N., Moore, Andrew D., Zheng, Bangyou, Chapman, Scott C., Howden, Mark S. and Crimp, Steven J.. 2015. "The value of adapting to climate change in Australian wheat farm systems: farm to cross-regional scale." Agriculture, Ecosystems and Environment. 211, pp. 112-125. https://doi.org/10.1016/j.agee.2015.05.011
Impact of climate changes on existing crop-livestock farming systems
Ghahramani, Afshin and Moore, Andrew D.. 2016. "Impact of climate changes on existing crop-livestock farming systems." Agricultural Systems. 146, pp. 142-155. https://doi.org/10.1016/j.agsy.2016.05.011