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., 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