HydroShare tools and recommended practices for sharing and publishing data and models in support of collaborative reproducible research

Tarboton, David G.; Idaszak, Ray; Horsburgh, Jeffery S.; Ames, Daniel P.; Goodall, Jonathan L.; Couch, Alva L.; Dash, Pabitra; Hong, Yi; Bandaragoda, C.; Castronova, Anthony M.; Clark, M. Diane; Wang, Shaowen

doi:10.1002/essoar.10500174.1

Cited by 8 publications

(10 citation statements)

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“…The RIMORPHIS platform incorporates a comprehensive data sharing mechanism that facilitates seamless interaction between users and their datasets. Central to this mechanism is the integration with HydroShare, a collaborative environment for sharing hydrologic data and models (Tarboton et al, 2023). Through OAuth authentication, users can conveniently log into the RIMORPHIS platform using their HydroShare credentials.…”

Section: Data Sharingmentioning

confidence: 99%

River Morphology Information System: A Web Cyberinfrastructure for Advancing River Morphology Research

Sermet,

Liang,

Dey

et al. 2024

Preprint

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The study and management of river systems are increasingly challenged by the complexity and volume of data required to understand and predict river morphology changes. The River Morphology Information System (RIMORPHIS) is introduced as a transformative solution to these challenges, serving as an open-access web-based cyberinfrastructure designed to enable advanced research in river morphology dynamics and support integrated, multidisciplinary analysis of riverine environments. Built upon the robust framework of the National Hydrography Dataset Plus High Resolution, RIMORPHIS integrates publicly available bathymetry data and third-party resources, offering a comprehensive and cohesive database architecture for real-time use and analysis. This platform is structured around a PostgreSQL database with PostGIS extension, providing tools for Geospatial visualization using Deck.GL, data analytics with Python-based geospatial processing, and the integration of eHydro Cross Section Surveys via API. This paper presents the development and functionalities of RIMORPHIS, highlighting its unique contributions to the field of hydrological information systems, with a specific focus on river morphology. By providing on-demand access to relevant datasets, coupled with tools for data analytics and geospatial visualization, RIMORPHIS addresses critical gaps in data accessibility, interoperability, and the integration of disparate data sources. Our contribution extends beyond the technical implementation, aiming to foster a self-sustained community platform that encourages collaboration among researchers, educators, and practitioners. Through this initiative, RIMORPHIS not only enhances our understanding of river systems but also supports informed decision-making in river basin management.

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Section: Data Sharingmentioning

confidence: 99%

River Morphology Information System: A Web Cyberinfrastructure for Advancing River Morphology Research

Sermet,

Liang,

Dey

et al. 2024

Preprint

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“…CUAHSI's JupyterHub computing ecosystem (https:// jupyterhub.cuahsi.org) and related CI emerged from National Science Foundation projects aimed at exploring sustainable hydrologic data sharing and publication, primarily HydroShare (Tarboton et al 2014). JupyterHub provides the infrastructure to run Jupyter notebooks (interactive, web-based tools running Python, R, and other code) in the cloud in close proximity to public datasets.…”

Section: System Designmentioning

confidence: 99%

Community Cloud Computing Infrastructure to Support Equitable Water Research and Education

Castronova

Nassar

Knoben³

et al. 2023

Groundwater

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“…Many of these water data management software packages and tools are free, are open source, and use distributed computing resources, reducing local requirements. For example, HydroServer Lite is a light-weight database and a data management webbased application for large scale data sharing [26,27] that uses the WaterML data encoding standard [28,29]; HydroShare is an online, collaborative, open source system developed for the open sharing of hydrologic data and models [30]; and GeoServer is an open-source server that allows users to share, process, and edit geospatial data [31]. All of these packages can be used separately, and when used together, they provide distributed access to spatial data, hydrological information, and tools.…”

Section: Global Model Calibraton and Validationmentioning

confidence: 99%

A Streamflow Bias Correction and Performance Evaluation Web Application for GEOGloWS ECMWF Streamflow Services

et al. 2021

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We present the development and testing of a web application called the historical validation tool (HVT) that processes and visualizes observed and simulated historical stream discharge data from the global GEOGloWS ECMWF streamflow services (GESS), performs seasonally adjusted bias correction, computes goodness-of-fit metrics, and performs forward bias correction on subsequent forecasts. The HVT corrects GESS output at a local scale using a technique that identifies and corrects model bias using observed hydrological data that are accessed using web services. HVT evaluates the performance of the GESS historic simulation data and provides more accurate historic simulation and bias-corrected forecast data. The HVT also allows users of the GEOGloWS historical streamflow data to use local observed data to both validate and improve the accuracy of local streamflow predictions. We developed the HVT using Tethys Platform, an open-source web application development framework. HVT presents data visualization using web mapping services and data plotting in the web map interface while functions related to bias correction, metrics reporting, and data generation for statistical analysis are computed by the back end. We present five case studies using the HVT in Australia, Brazil, Colombia, the Dominican Republic, and Peru. In these case studies, in addition to presenting the application, we evaluate the accuracy of the method we implemented in the HVT for bias correction. These case studies show that the HVT bias correction in Brazil, Colombia, and Peru results in significant improvement in historic simulation across the countries, while bias correction only resulted in marginal historic simulation improvements in Australia and the Dominican Republic. The HVT web application allows users to use local data to adjust global historical simulation and forecasts and validate the results, making the GESS modeling results more useful at a local scale.

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HydroShare tools and recommended practices for sharing and publishing data and models in support of collaborative reproducible research

Cited by 8 publications

References 0 publications

River Morphology Information System: A Web Cyberinfrastructure for Advancing River Morphology Research

River Morphology Information System: A Web Cyberinfrastructure for Advancing River Morphology Research

Community Cloud Computing Infrastructure to Support Equitable Water Research and Education

A Streamflow Bias Correction and Performance Evaluation Web Application for GEOGloWS ECMWF Streamflow Services

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