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

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Authors: Pascal Matte
Cited by: 0

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., Innocenti, S., 2026. Filling gaps and extending inland tide gauge records to support accurate long-term and extreme water level analyses. Continental Shelf Research 299, 105668. https://doi.org/10.1016/j.csr.2026.105668

Fields of Study & Subjects

Oceanographic and Atmospheric Processes Coastal and Marine Dynamics Environmental Monitoring and Data Management

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
12 February 2026
Language
EN