Annual memory in the terrestrial water cycle

Journal Article (2025)
Author(s)

Wouter R. Berghuijs (Vrije Universiteit Amsterdam)

Ross Woods (University of Bristol)

Bailey J. Anderson (Swiss Federal Institute for Forest, Snow and Landscape Research WSL, ETH Zürich)

Anna Luisa Hemshorn de Sanchez (Vrije Universiteit Amsterdam)

Markus Hrachowitz (TU Delft - Water Resources)

Research Group
Water Resources
DOI related publication
https://doi.org/10.5194/hess-29-1319-2025
More Info
expand_more
Publication Year
2025
Language
English
Research Group
Water Resources
Issue number
5
Volume number
29
Pages (from-to)
1319-1333
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

The water balance of catchments will, in many cases, strongly depend on its state in the recent past (e.g. previous days). Processes causing significant hydrological memory may persist at longer timescales (e.g. annual). The presence of such memory could prolong drought and flood risks and affect water resources over long periods, but the global universality, strength, and origin of long memory in the water cycle remain largely unclear. Here, we quantify annual memory in the terrestrial water cycle globally using autocorrelation applied to annual time series of water balance components. These time series of streamflow, global gridded precipitation, and GLEAM potential and actual evaporation, along with a GRACE (Gravity Recovery and Climate Experiment)-informed global terrestrial water storage reconstruction, indicate that, at annual timescales, memory is typically absent in precipitation but strong in terrestrial water stores (root zone moisture and groundwater). Outgoing fluxes (streamflow and evaporation) positively scale with storage, and so they also tend to hold substantial annual memory. As storage mediates flow extremes, such memory often also occurs in annual extreme flows and is especially strong for low flows and in large catchments. Our model experiments show that storage–discharge relationships that are hysteretic and strongly non-linear are consistent with these observed memory behaviours, whereas non-hysteretic and linear drainage fails to reconstruct these signals. Thus, a multi-year slow dance of terrestrial water stores and their outgoing fluxes is common; it is not simply mirroring precipitation memory and appears to be caused by hysteretic storage and drainage mechanisms that are incorporable in hydrological models.