Fri Apr 10, F. Flechtner
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Wu, Songjun, Tetzlaff, Doerthe, Zheng, Yi, and Soulsby, Chris, 2026. EcoTWIN 1.0: a fully distributed tracer–aided ecohydrological model tracking water, isotopes, and nutrients. Geoscientific Model Development, 19(6):2257–2278, doi:10.5194/gmd-19-2257-2026.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2026GMD....19.2257W,
author = {{Wu}, Songjun and {Tetzlaff}, Doerthe and {Zheng}, Yi and {Soulsby}, Chris},
title = "{EcoTWIN 1.0: a fully distributed tracer-aided ecohydrological model tracking water, isotopes, and nutrients}",
journal = {Geoscientific Model Development},
year = 2026,
month = mar,
volume = {19},
number = {6},
pages = {2257-2278},
abstract = "{The value of stable water isotopes in constraining process
representation in hydrological models is well acknowledged with
numerous tracer-aided hydrological models developed in recent
years, yet few have leveraged these benefits for more robust
water quality modelling. Therefore, we introduce EcoTWIN, a
fully distributed tracer-aided ecohydrological model that
simultaneously tracks water, isotope, and nutrient fluxes. A
thorough model test was conducted by calibrating EcoTWIN against
discharge, in-stream isotopes, and NO$_{3}$─N concentrations
(1980─2024) in 17 large-scale ({}10$^{3}$─{}10$^{5}$ km$^{2}$)
European catchments spanning a wide range of geographic and
climatic gradients. Furthermore, three reanalysis products (ERA5
snow depth, MODIS evapotranspiration, and GRACE surface water
anomaly) were employed to further validate the capacity of
EcoTWIN to reproduce associated but uncalibrated internal water
fluxes. Results showed good model performance of both calibrated
in-stream targets and uncalibrated internal fluxes in most
catchments. Therefore, we conclude that EcoTWIN is a flexible,
transferable modelling tool for prediction and process inference
in terrestrial ecosystems ranging from boreal to subtropic
climates. Constrained by tracer simulations, the model not only
captures the celerity, but also the velocity of hydrological
fluxes, thus providing spatio-temporally-explicit estimations of
water ages and travel times. Such information provides
opportunities to bridge catchment hydrology and water quality by
linking travel times with biogeochemical processing kinetics. We
demonstrate this with a proof of concept using Damk{\"o}hler
Number in nitrogen modelling.}",
doi = {10.5194/gmd-19-2257-2026},
adsurl = {https://ui.adsabs.harvard.edu/abs/2026GMD....19.2257W},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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