Ma et al. (2026) Historical Groundwater Memory Predicts Site‐Specific Persistence Horizons Across Germany

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

• Journal: Geophysical Research Letters
• Year: 2026
• Date: 2026-11-05
• Authors: Funing Ma, Zhenxue Dai, Fangfei Cai
• DOI: 10.1029/2026gl127221

Research Groups

Researchers across Germany

Short Summary

This study investigated whether historical groundwater memory defines persistent timescales for future groundwater behavior, finding that historical autocorrelation-implied timescales strongly predict later persistence horizons with high site specificity across Germany.

Objective

• To determine if the memory of antecedent hydrologic conditions retained by groundwater levels defines a persistent timescale for later groundwater behavior.

Study Configuration

• Spatial Scale: 3207 wells across Germany.
• Temporal Scale: Weekly records; groundwater memory estimated for 1991–2005, and persistence estimated for 2013–2022.

Methodology and Data

• Models used: Statistical analysis (autocorrelation to estimate memory and persistence horizons).
• Data sources: Observational weekly groundwater level records from 3207 wells.

Main Results

• Historical autocorrelation-implied timescales strongly predicted later persistence horizons (Spearman correlation = 0.851; 95% confidence interval, 0.819–0.877).
• The median absolute difference between predicted and observed persistence horizons was 2 weeks.
• Groundwater memory exhibited strong site specificity, with a well's own historical memory being much more closely related to its later persistence than memory reassigned from hydrogeologically and spatially similar wells.
• Historical hydroclimatic–groundwater coupling was associated with departures from autocorrelation-based expectations, a relationship that persisted even after removing seasonal and trend components.

Contributions

• Provides robust evidence that historical groundwater memory is a strong predictor of future groundwater persistence horizons.
• Establishes the strong site-specificity of groundwater memory and its predictive power.
• Offers a novel temporal perspective for groundwater resilience assessment and climate adaptation planning.
• Informs the development of persistence-based forecasting methods for groundwater levels.

Funding

Not specified in the abstract.

Citation

@article{Ma2026Historical,
  author = {Ma, Funing and Dai, Zhenxue and Cai, Fangfei},
  title = {Historical Groundwater Memory Predicts Site‐Specific Persistence Horizons Across Germany},
  journal = {Geophysical Research Letters},
  year = {2026},
  doi = {10.1029/2026gl127221},
  url = {https://doi.org/10.1029/2026gl127221}
}