Seeing the Unseen: New Frontiers in Dynamic Water Storage and Modeling

This review shows that water storage capacity in the critical zone can change on climate-relevant timescales, yet remains difficult to measure and model—especially in the subsurface. Advances from long-term observatories and field campaigns are improving how we observe storage filling, draining, and connectivity, but spatial heterogeneity and evolving capacity still challenge models. The authors argueContinue reading “Seeing the Unseen: New Frontiers in Dynamic Water Storage and Modeling”

How do trees and snowpack co-evolve following disturbance? New publication

This new publication sheds light into the coevolution of montane forests and snowpack response to forest treatments through the coupling of the process-based snow model SnowPALM and the ecohydrological model RHESSys. Krogh, S.A., Graup, L., Tague, C., Broxton, P., Boisrame, G., Scaff, L., Harpold, A. A. (2025) Forest Regrowth Impacts on High-Resolution Snowpack Modeling: AContinue reading “How do trees and snowpack co-evolve following disturbance? New publication”

Retaining snow & increasing baseflow to counteract rising stream temperatures

This study explores how climate and geology will affect future stream characteristics during the ecologically stressful summer months – and how land management activities that increase water storage as snow and groundwater while decreasing evapotranspiration may help mitigate some of the effects of climate change, especially in more arid watersheds. Boisramé, G., Harpold, A., Tague,Continue reading “Retaining snow & increasing baseflow to counteract rising stream temperatures”

Publication: Urban trees and irrigation reduction

This study used RHESSys to quantify how urban tree water and carbon fluxes are affected by irrigation reductions, and how that relationship changes with tree species and temperature – results have implications for water resources management before and during drought, and for urban tree climate adaptation to future drought. Torres, R., Tague, C.L., McFadden, J.P.Continue reading “Publication: Urban trees and irrigation reduction”

The VHL approach: getting the right answers for the right reasons

Key points of this new publication, which proposes the Virtual Hydrological Laboratory approach: Thyer, M., Gupta, H., Westra, S., McInerney, D., Maier, H. R., Kavetski, D., Jakman, A., Croke, B., Simmons, C., Partington, D., Shanafield, M., Tague, C. (2024) Virtual Hydrological Laboratories: Developing the next generation of conceptual models to support decision making under change, Water Resources Research 60, e2022WR034234. https://doi.org/10.1029/2022WR034234

New article: Nitrogen and Dryland watersheds

Climate change effects on nitrogen deposition and export may pose threats to water quality in dryland watersheds. Ren, J., Hanan, E. J., D’Odorico, P., Tague, C., Schimel, J. P., & Homyak, P. M. (2024) Dryland watersheds in flux: How nitrogen deposition and changing precipitation regimes shape nitrogen export, Earth’s Future 12, e2023EF004120. https://doi.org/10.1029/2023EF004120

Modeling biogeochemical hotspots article

New framework for representing hotspots in RHESSys to better project future N export. Ren, J., Hanan, E. J., Greene, A., Tague, C., Krichels, A. H., Burke, W. D., et al. (2024) Simulating the role of biogeochemical hotspots in driving nitrogen export from dryland watersheds, Water Resources Research 60, e2023WR036008. https://doi.org/10.1029/2023WR036008

Perspectives on Artificial Intelligence for Predictions in Ecohydrology

In this new paper, the authors investigate and report on the potential application of artificial intelligence and machine learning in ecohydrology, highlight outcomes of the ecohydrology session at the November 2021 Artificial Intelligence for Earth System Predictability (AI4ESP) workshop, and provide visionary perspectives for future research in this area. Massoud, E.C., Hoffamn, F., Shi, Z.,Continue reading “Perspectives on Artificial Intelligence for Predictions in Ecohydrology”