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Data Provisioning Micro-Services and Workflows for Hydrological and Water Quality Modeling
Citation:
Parmar, R., C. Knightes, D. Smith, K. Wolfe, Michael Galvin, J. Koblich, J. Sitterson, J. Johnston, AND S. Purucker. Data Provisioning Micro-Services and Workflows for Hydrological and Water Quality Modeling. 2019 International Society for Ecological Modelling Global Conference, Salzburg, AUSTRIA, October 01 - 05, 2019.
Impact/Purpose:
Presented at the International Society for Ecological Modelling Global Conference 2019.
Description:
The majority of the environmental models do not have automated data provisioning services integrated into them. Therefore, modelers spend a substantial amount of time discovering, evaluating, downloading, and pre-processing data for their environmental modelling work. Modelers must decide which data source to select when multiple sources exist for the same parameter. Data sources often provide data in an unprocessed or generic format to be flexible. However, the hydrological and water quality modeling domain has its own conventions and requirements for environmental data. As a part of its Hydrologic Micro Services (HMS) platform, the United States Environmental Protection Agency (USEPA) has developed a suite of data provisioning components, micro services, and workflows for the hydrological and water quality modelling domain. In addition to accessing data sources on the fly, the suite hosts locally generated datasets. There are three ways USEPA’s data provisioning components and micro services can be integrated into modelling workflows and models: (1) Programmatically integrate the micro services into modeling workflows and models, (2) Download data provisioning component libraries and include them into workflows and models’ source codes, or (3) Access data provisioning web pages and download data for manual integration into workflows and models. Currently, data provisioning components and micro services are available for precipitation, temperature, evapotranspiration, soil moisture, NDVI, curve number, surface and subsurface runoff. USEPA’s suite of data provisioning components and micro services also include workflows that help modelers to select a data source when multiple data sources are available. The USEPA plans to add more data provisioning components and source selection workflows to its suite with the aim of making modeling workflow development more efficient, allowing modelers to spend more time analysing results rather than gathering and pre-processing data.