Preprint Article Version 1 This version is not peer-reviewed

Collaborative Groundwater Modeling: Open-Source, Cloud- Based, Applied Science at a Small-Island Water Utility Scale

Version 1 : Received: 2 March 2020 / Approved: 3 March 2020 / Online: 3 March 2020 (11:45:15 CET)

How to cite: Shuler, C.; Mariner, K. Collaborative Groundwater Modeling: Open-Source, Cloud- Based, Applied Science at a Small-Island Water Utility Scale. Preprints 2020, 2020030043 (doi: 10.20944/preprints202003.0043.v1). Shuler, C.; Mariner, K. Collaborative Groundwater Modeling: Open-Source, Cloud- Based, Applied Science at a Small-Island Water Utility Scale. Preprints 2020, 2020030043 (doi: 10.20944/preprints202003.0043.v1).

Abstract

Recent advancements in cloud-computing and social-networking are influencing how we communicate professionally, work collaboratively, and approach data-science tasks. Here we show how the groundwater modeling field is well positioned to benefit from these advancements. We present a case study detailing a vertically-integrated, collaborative modeling framework jointly developed by participants at the American Samoa Power Authority and at the University of Hawaii Water Resources Research Center. The framework components include direct collection and analysis of climatic and streamflow data, development of a water budget model, and initiation of a dynamic groundwater modeling process. The framework is entirely open-source and applies newly available data-science infrastructure using Python-based tools compiled with Jupyter Notebooks and cloud computing services such as GitHub. These resources allow for seamless integration of multiple computational components into a dynamic cloud-based workflow that is immediately accessible to stakeholders, resource managers, or anyone with an internet connection

Subject Areas

Groundwater Modeling; Hydrologic Monitoring Network; American Samoa; Jupyter Notebooks; GitHub; Python

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