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STICr: An open-source package and workflow for Stream Temperature, Intermittency, and Conductivity (STIC) data

STICr: An open-source package and workflow for Stream Temperature, Intermittency, and Conductivity (STIC) data

This is a Preprint and has not been peer reviewed. The published version of this Preprint is available: https://doi.org/10.1016/j.envsoft.2025.106484. This is version 4 of this Preprint.

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Authors

Sam Zipper , Chris Wheeler, Delaney M. Peterson , Stephen C. Cook, Sarah E Godsey, Ken Aho

Abstract

Non-perennial streams constitute over half the world's stream miles but are not commonly included in streamflow monitoring networks. As a result, Stream Temperature, Intermittency, and Conductivity (STIC) loggers are widely used for characterizing flow presence or absence in non-perennial streams. To facilitate ‘FAIR’ (findable, accessible, interoperable, and reusable) stream intermittency science, we present an open-source R package, STICr, for processing STIC logger data. STICr includes functions to tidy data, calibrate sensors, classify data into wet/dry readings, and perform quality checks and validation. We also show a reproducible STICr-based workflow for an interdisciplinary project spanning multiple watersheds, years, and research groups. In South Fork Kings Creek (Konza Prairie, Kansas, USA), we show that stream intermittency is driven by the balance between monthly precipitation inputs, seasonal evapotranspiration fluxes, and underlying geology. Overall, STICr can be used to create FAIR stream intermittency data and enable advances in hydrologic and ecosystem science.

DOI

https://doi.org/10.31223/X5636K

Subjects

Hydrology

Keywords

STIC loggers, non-perennial streams, stream intermittency, Hydrologic connectivity, Open-source, data processing, Software, R package

Dates

Published: 2023-01-13 22:30

Last Updated: 2025-04-24 06:31

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License

No Creative Commons license