Integration of distributed streamflow measurement metadata for improved water resource decision-making
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Abstract
Streamflow data are critical for monitoring and managing water resources, yet there are significant spatial gaps in our federal monitoring networks with biases toward large perennial rivers. In some cases, streamflow monitoring exists in these spatial gaps, but information about these monitoring locations is challenging to obtain. Here, we present a streamflow catalog for the United States Pacific Northwest that includes current and historical streamflow monitoring location information obtained from 32 organizations (other than the U.S. Geological Survey), which includes 2661 continuous streamflow gaging locations (22% are currently active) and 30,557 discrete streamflow measurements. A stakeholder advisory board with representatives from organizations that operate streamflow monitoring networks identified metadata requirements and provided feedback on the Streamflow Data Catalog user interface. Engagement with the water resources community through this effort highlighted challenges that water professionals face in collecting and managing streamflow data so that data are findable, accessible, interoperable, and reusable (FAIR). Over 60% of the streamflow monitoring locations in the Streamflow Data Catalog are not available online and are thus not findable through web search engines. Providing organizations technical assistance with standard measurement procedures, metadata collection, and web accessibility could substantially increase the availability and utility of streamflow information to water resources communities.
Publication type | Article |
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Publication Subtype | Journal Article |
Title | Integration of distributed streamflow measurement metadata for improved water resource decision-making |
Series title | Water |
DOI | 10.3390/w15040679 |
Volume | 15 |
Issue | 4 |
Year Published | 2023 |
Language | English |
Publisher | MDPI |
Contributing office(s) | Northwest Pacific Islands Regional Director's Office |
Description | 679, 11 p. |
Google Analytic Metrics | Metrics page |