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Software . 2026
License: CC BY
Data sources: Datacite
ZENODO
Software . 2026
License: CC BY
Data sources: Datacite
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tidexcorr: A lag-regression framework for reconstructing sparse or short water-level records from neighboring gauges

Authors: Matte, Pascal;

tidexcorr: A lag-regression framework for reconstructing sparse or short water-level records from neighboring gauges

Abstract

tidexcorr implements a lag-regression framework for reconstructing sparse, short, or discontinuous water-level records from neighboring gauges. The method preserves physical consistency and supports long-term analysis, data quality control, and extreme-event characterization in estuarine, coastal, and inland systems. The source code implements the lag-regression framework presented in: Matte, P. and Innocenti, S. (2026). Filling gaps and extending inland tide gauge records to support accurate long-term and extreme water level analyses. Under review in Continental Shelf Research.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average