Mon Oct 13, F. Flechtner
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Berghuijs, Wouter R., Woods, Ross A., Anderson, Bailey J., Hemshorn de Sánchez, Anna Luisa, and Hrachowitz, Markus, 2025. Annual Memory In The Terrestrial Water Cycle. Hydrology and Earth System Sciences, 29:1319–1333, doi:10.5194/hess-29-1319-2025.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2025HESS...29.1319B,
author = {{Berghuijs}, Wouter R. and {Woods}, Ross A. and {Anderson}, Bailey J. and {Hemshorn de S{\'a}nchez}, Anna Luisa and {Hrachowitz}, Markus},
title = "{Annual Memory In The Terrestrial Water Cycle}",
journal = {Hydrology and Earth System Sciences},
year = 2025,
month = mar,
volume = {29},
pages = {1319-1333},
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{\textendash}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.}",
doi = {10.5194/hess-29-1319-2025},
adsurl = {https://ui.adsabs.harvard.edu/abs/2025HESS...29.1319B},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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