Geoscientific Instrumentation, Methods and Data Systems
Geoscientific Instrumentation, Methods and Data Systems
GI
Articles | Volume 14, issue 2
Articles | Volume 14, issue 2
https://doi.org/10.5194/gi-14-541-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gi-14-541-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 2
Research article
 | 
19 Dec 2025
Research article |  | 19 Dec 2025

Tipping point analysis helps identify sensor phenomena in humidity data

Valerie N. Livina, Kate Willett, and Stephanie Bell

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Latest update: 30 Apr 2026
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Short summary
A novel approach that uses tipping point analysis for identifying instrumental changes in sensor data that may not have full description of legacy hardware. The technique helps interpret changes of pattern in the data (autocorrelations) and distinguish them from climatic and environmental effects. This is particularly important for historic datasets, where instrumental changes may be undocumented or lack metadata.
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