Document Type

Article

Author ORCID Identifier

Tian Gan https://orcid.org/0000-0003-3624-6910

David G. Tarboton https://orcid.org/0000-0002-1998-3479

Jeffery S. Horsburgh https://orcid.org/0000-0002-0768-3196

Ray Idaszak https://orcid.org/0000-0002-3444-7615

Hong Yi https://orcid.org/0000-0002-5699-1259

Journal/Book Title/Conference

Environmental Modelling & Software

Volume

129

Publisher

Elsevier Ltd

Publication Date

4-2-2020

Award Number

NSF, Office of Advanced Cyberinfrastructure (OAC), 1664061

Funder

NSF, Office of Advanced Cyberinfrastructure (OAC)

First Page

1

Last Page

33

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Abstract

In hydrologic research, there is a need to manage, archive, and publish data in a discoverable way to increase data reuse, transparency, and reproducibility. Multidimensional space-time data are commonly used in hydrologic research, and systems are needed for sharing and exchanging such data. Simply exchanging files may result in loss of metadata information and can be challenging when files are large. We developed an approach to manage, share, and publish multidimensional space-time data in HydroShare, a next generation hydrologic information system and domain specific repository. This paper presents the design, development, and testing of this approach. We selected the Network Common Data Form (NetCDF) as the underlying data model. We defined specific metadata elements to store and manage multidimensional space-time data. We adopted and adapted existing software to automatically harvest, support entry of metadata, and establish standardized data services to serve and enhance access to the datasets shared in HydroShare.

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