Historical Groundwater Memory Predicts Site‐Specific Persistence Horizons Across Germany

Abstract Groundwater levels retain memory of antecedent hydrologic conditions, but whether this memory defines a persistent timescale of later groundwater behavior remains unclear. We analyzed weekly records from 3207 wells across Germany, estimating groundwater memory during 1991–2005 and persistence during 2013–2022. Historical autocorrelation‐implied timescales strongly predicted later persistence horizons (Spearman = 0.851; 95% confidence interval, 0.819–0.877), with a median absolute difference of 2 weeks. A well's own historical memory was much more closely related to later persistence than memory reassigned among hydrogeologically and spatially similar wells, indicating strong site specificity. Historical hydroclimatic–groundwater coupling was also associated with departures from the autocorrelation‐based expectation, and this relation persisted after removal of seasonal and trend components. These site‐specific timescales inform persistence‐based forecasting and provide a temporal perspective for groundwater resilience assessment and climate adaptation planning.

Authors

Institutions

Publication Details

Journal
Geophysical Research Letters
Published
2026-11-05
DOI
https://doi.org/10.1029/2026gl127221
Primary Topic
Hydrology and Watershed Management Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Historical Groundwater Memory Predicts Site‐Specific Persistence Horizons Across Germany

Fangfei Cai, Zhenxue Dai, Funing Ma
Geophysical Research Letters
Hydrology and Watershed Management Studies
article

Historical Groundwater Memory Predicts Site‐Specific Persistence Horizons Across Germany

Fangfei Cai, Zhenxue Dai, Funing Ma
article en

Abstract

Abstract Groundwater levels retain memory of antecedent hydrologic conditions, but whether this memory defines a persistent timescale of later groundwater behavior remains unclear. We analyzed weekly records from 3207 wells across Germany, estimating groundwater memory during 1991–2005 and persistence during 2013–2022. Historical autocorrelation‐implied timescales strongly predicted later persistence horizons (Spearman = 0.851; 95% confidence interval, 0.819–0.877), with a median absolute difference of 2 weeks. A well's own historical memory was much more closely related to later persistence than memory reassigned among hydrogeologically and spatially similar wells, indicating strong site specificity. Historical hydroclimatic–groundwater coupling was also associated with departures from the autocorrelation‐based expectation, and this relation persisted after removal of seasonal and trend components. These site‐specific timescales inform persistence‐based forecasting and provide a temporal perspective for groundwater resilience assessment and climate adaptation planning.

Geophysical Research LettersVol. 53(21)
Qingdao Binhai University (CN), Jilin University (CN), Qingdao University of Technology (CN)
Openalex Percentile: Top 25%
Hydrology and Watershed Management Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon