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Article

Water Data Explorer: An Open-Source Web Application and Python Library for Water Resources Data Discovery

1
Department of Civil and Environmental Engineering, Brigham Young University, Provo, UT 84602, USA
2
National Research Council of Italy (CNR), Institute of Atmospheric Pollution Research (IIA), 10, 00015 Sesto Fiorentino, FI, Italy
3
World Meteorological Organization (WMO), CH-1211 Geneva, Switzerland
*
Author to whom correspondence should be addressed.
Academic Editor: Sajjad Ahmad
Water 2021, 13(13), 1850; https://doi.org/10.3390/w13131850
Received: 5 May 2021 / Revised: 25 June 2021 / Accepted: 28 June 2021 / Published: 2 July 2021
(This article belongs to the Special Issue Advances in Hydroinformatics for Water Data Management and Analysis)
We present the design and development of an open-source web application called Water Data Explorer (WDE), designed to retrieve water resources observation and model data from data catalogs that follow the WaterOneFlow and WaterML Service-Oriented Architecture standards. WDE is a fully customizable web application built using the Tethys Platform development environment. As it is open source, it can be deployed on the web servers of international government agencies, non-governmental organizations, research teams, and others. Water Data Explorer provides uniform access to international data catalogs, such as the Consortium of Universities for the Advancement of Hydrologic Science (CUAHSI) Hydrologic Information System (HIS) and the World Meteorological Organization (WMO) Hydrological Observing System (WHOS), as well as to local data catalogs that support the WaterOneFlow and WaterML standards. WDE supports data discovery, visualization, downloading, and basic data interpolation. It can be customized for different regions by modifying the user interface (i.e., localization), as well as by including pre-defined data catalogs and data sources. Access to WDE functionality is provided by a new open-source Python package called “Pywaterml” which provides programmable access to WDE methods to discover, visualize, download, and interpolate data. We present two case studies that access the CUAHSI HIS and WHOS catalogs and demonstrate regional customization, data discovery from WaterOneFlow web services, data visualization of time series observations, and data downloading. View Full-Text
Keywords: observation networks; WHOS; CUAHSI; Tethys; HydroShare; HydroServer observation networks; WHOS; CUAHSI; Tethys; HydroShare; HydroServer
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MDPI and ACS Style

Bustamante, G.R.; Nelson, E.J.; Ames, D.P.; Williams, G.P.; Jones, N.L.; Boldrini, E.; Chernov, I.; Sanchez Lozano, J.L. Water Data Explorer: An Open-Source Web Application and Python Library for Water Resources Data Discovery. Water 2021, 13, 1850. https://doi.org/10.3390/w13131850

AMA Style

Bustamante GR, Nelson EJ, Ames DP, Williams GP, Jones NL, Boldrini E, Chernov I, Sanchez Lozano JL. Water Data Explorer: An Open-Source Web Application and Python Library for Water Resources Data Discovery. Water. 2021; 13(13):1850. https://doi.org/10.3390/w13131850

Chicago/Turabian Style

Bustamante, Giovanni R., Everett J. Nelson, Daniel P. Ames, Gustavious P. Williams, Norman L. Jones, Enrico Boldrini, Igor Chernov, and Jorge L. Sanchez Lozano 2021. "Water Data Explorer: An Open-Source Web Application and Python Library for Water Resources Data Discovery" Water 13, no. 13: 1850. https://doi.org/10.3390/w13131850

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