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”
Author Archives: ecohydrolab
Louis Graup PhD Dissertation Defense
Tague Team Lab member Louis Graup will present his dissertation defense “Investigating Riparian Resilience to the Climate Crisis through a Critical Zone Lens” on Thursday June 13, 2024 at 8:00 am PT. Attend in person: Bren Hall 1414Attend online: zoom link and passcode riparia Advisor: Naomi TagueCommittee: Frank Davis, Jeff Dozier, Adrian Harpold
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
Viewpoint on Digital twins of the Earth
Naomi Tague’s viewpoint article is featured in the Frontiers in Science Digital Twin Earth Hydrology Platform article hub. Tague C. (2024) Digital twins of the Earth: can they keep up?, Front Sci 2:1371049. doi: 10.3389/fsci.2024.1371049
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
RHESSys conference announcement
RHESSys Conference 2024 Location: VirtualDate: 1-2 May 2024Registration Cost: FREEAbstract Deadline: 15 March 2024Website: https://rhessys.github.io/conferences/conference_2024 RHESSys Conference 2024 seeks to bring together members of the RHESSys community to share, learn, and network with one another. The conference will be held virtually on 1-2 May 2024. We welcome presentations on all topics related to RHESSys, includingContinue reading “RHESSys conference announcement”
Rachel Torres PhD Dissertation Defense
Tague Team Lab member Rachel Torres will present her dissertation defense “Beyond the Drought: Modeling eco-hydrologic dynamics between urban tree resilience and water conservation in a Mediterranean climate” on Friday, Dec. 8th at 10am (PT). Attend in person: Bren Hall 1414Attend online: use the link on the Bren event announcement
CZ science in the US West—Too much information?
In this new publication, Tague and Brandt propose the need for a radical transformation of how we present and summarize our scientific knowledge. Tague, C., and Brandt, W.T. (2023) Critical zone science in the Western US—Too much information? Front. Water 5:1226612. doi: 10.3389/frwa.2023.1226612
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”
