Birylo (2026) Non-Stationarity of Hydroclimatic Memory—Is Hydrological Memory Changing Under Climate Warming?
⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.
Identification
- Journal: Water
- Year: 2026
- Date: 2026-04-04
- Authors: Monika Birylo
- DOI: 10.3390/w18070869
Research Groups
Not available from the provided text.
Short Summary
This study investigates the temporal stability of hydrological memory in the ten largest European basins to understand basin regime dynamics under changing climatic conditions, finding that most basins exhibit a relatively short hydrological memory with varying degrees of temporal instability.
Objective
- To investigate the temporal stability of hydrological memory in the ten largest European basins (Volga, Danube, Dnieper, Don, Northern Dvina, Pechora, Neva, Rhine, Vistula, and Elbe).
Study Configuration
- Spatial Scale: Ten largest European basins.
- Temporal Scale: Analysis performed using a 50-month moving window.
Methodology and Data
- Models used: Rolling cross-correlation (CCF) functions, auto-correlation (ACF) functions, Instability Index.
- Data sources: Not explicitly mentioned in the provided text.
Main Results
- The strongest correlations in hydrological memory primarily occur at lag 0 and ±1, indicating a relatively short hydrological memory in most of the studied basins.
- The Volga basin exhibited the lowest Instability Index, suggesting more stable hydrological memory over time.
- The Danube and Rhine basins recorded the highest Instability Index values, indicating greater variability in their hydrological memory.
Contributions
- Provides insights into the temporal stability of hydrological memory across a diverse set of large European basins.
- Quantifies the variability of hydrological memory over time using an Instability Index.
- Contributes to understanding basin regime dynamics in the context of changing climatic conditions.
Funding
Not available from the provided text.
Citation
@article{Birylo2026NonStationarity,
author = {Birylo, Monika},
title = {Non-Stationarity of Hydroclimatic Memory—Is Hydrological Memory Changing Under Climate Warming?},
journal = {Water},
year = {2026},
doi = {10.3390/w18070869},
url = {https://doi.org/10.3390/w18070869}
}
Original Source: https://doi.org/10.3390/w18070869