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Ali Ameli

@ali-ameli.bsky.social
41 followers 54 following 19 posts

Hydrologist & Educator hgs4wm.eoas.ubc.ca

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Reposted by Ali Ameli
UBC EOAS @eoas.ubc.ca · 18/09/2026
Just published in Nature Water: Associate Professor of Hydrology Ali Ameli and co-authors discovered that most rivers in the world don't respond to rainfall the same way twice. But BC's West Coast rivers are a global outlier! www.eoas.ubc.ca/news/1789582149 @ali-ameli.bsky.social
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Ali Ameli @ali-ameli.bsky.social · 24/09/2026
Our new story is up on @eurekalert.bsky.social: "Most rivers don't respond to rain the same way twice." Based on our recent paper in Nature Water #Hydrology #WaterResources #SciComm @aaas.org www.eurekalert.org/news-release...
eurekalert.org
Why most rivers don’t respond to storms the same way twice
A global analysis of catchments underscores the complexities of modelling river run off and flooding—and provides new tools for hydrologists.
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Ali Ameli @ali-ameli.bsky.social · 16/09/2026
Most of the world's streams have never been gauged. Our new paper in @nature.com infers how they respond to rain anyway. Functional complexity is the norm: complex catchments drain 87% of the ungauged land we evaluated. That shapes which model works where, and which gauges to build next.
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Ali Ameli @ali-ameli.bsky.social · 11/08/2026
Giving the USGS Water Seminar this Wednesday, Aug 12, (12pm ET / 9am PT). "Watershed hydrologic function in wetland landscapes: from satellite-derived storage–discharge to process-informed deep learning" Online and open to all: teams.microsoft.com/l/meetup-joi... #WetlandHydrology
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Ali Ameli @ali-ameli.bsky.social · 03/05/2026
At #EGU26 with 2 talks on deep learning + watershed hydrologic function: Interrogating the functional realism of deep learning rainfall-runoff models HS3.5 · Tue 5 May, 11:55 · Room C Synthesizing time-variance in catchment hydrologic function HS2.2.5 · Wed 6 May, 08:55 · Room 3.16/17
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Ali Ameli @ali-ameli.bsky.social · 15/04/2026
Waterloo friends: if you’re interested in watershed hydrologic function and what current deep learning models still miss, join me today at the University of Waterloo for this WaterTalks public lecture.
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Ali Ameli @ali-ameli.bsky.social · 30/03/2026
Check out my piece in the Conversation on mechanisms of flow generation in wetland-dominated landscapes and how physics-informed AI can help to understand and generalize these mechanisms. #wetland #AI theconversation.com/water-flow-i...
theconversation.com
Water flow in prairie watersheds is increasingly unpredictable — but AI could help
In the Prairie Pothole Region, millions of wetlands fill, spill and connect in ways that defy prediction. Combining hydrology with AI offers a path forward.
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Ali Ameli @ali-ameli.bsky.social · 11/03/2026
Check out our new paper in WRR: in the Prairie Pothole Region, millions of wetlands fill, spill, and connect, making runoff hard to predict. We show how physics + AI can improve prediction of streamflow and wetland storage in ungauged watersheds. #Wetlands #NewPaper #AGUPubs #PhysicsInformedML
agupubs.onlinelibrary.wiley.com
Regionalization of Hydrologic Behavior and Pothole Water Storage Dynamics in the Prairie Pothole Region
Physics-informed deep learning outperforms LSTM in regionalizing hydrologic behavior and pothole storage across PPR (un)gauged catchments PPR-scale model captures inter(a)-annual variability of h...
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Ali Ameli @ali-ameli.bsky.social · 05/03/2026
Check out my piece in @sciencex.bsky.social on how physics and #AI join forces to enable prediction in ungauged basins, particularly in one of hydrology’s most challenging environments—wetland-dominated watersheds. phys.org/news/2026-03... #AGUPubs #wetland
phys.org
The wetland puzzle that stumped hydrology for decades—how physics and AI joined forces to predict unmeasured regions
For years, the Prairie Pothole Region has bothered me in a very specific way. On a map, it looks like a normal landscape: fields, gentle slopes, small streams. But hydrologically, it behaves like some...
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Reposted by Ali Ameli
AGU (American Geophysical Union) @agu.org · 04/02/2026
Not all watersheds respond equally to climate variability—and new research reveals that the difference lies underground.💧 🔗 Learn more in Water Resources Research: buff.ly/vvnKfkv #Snow #Hydrology #Climate #Groundwater #STEM @ali-ameli.bsky.social
New in WRR
Time Variance in Snowmelt Partitioning: A Mechanistic Modeling Approach to Explore the Role of Catchment Structure and Pre-Snow Rainfall
By Mahbod Taherian, Ali A. Ameli
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Reposted by Ali Ameli
Science X / Phys.org @sciencex.bsky.social · 26/01/2026
Subsurface structure plays a key role in how watersheds respond to climate variability, influencing water storage, flood risk, and water quality beyond what surface features alone can explain. doi.org/hbmjc3
phys.org
The hidden physics of watersheds: Why some are more sensitive to climate variability than others
Water is everywhere, from the snowpack in the mountains to the tap in our kitchens. But while we often think about rainfall and snow as the main drivers of our water supply, it turns out that something we rarely see has just as much influence: the underground structure of the landscape itself.
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Ali Ameli @ali-ameli.bsky.social · 19/01/2026
Proud of my grad students—4 papers accepted in Water Resources Research journal in 2025! Check out their work: www.eoas.ubc.ca/people/aliam... Interested in joining this UBC team as a postdoc? Email me ASAP with your CV to explore nomination for new Canada’s PDF opportunities. #Hydrology #Postdoc
eoas.ubc.ca
Ali Ameli
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Ali Ameli @ali-ameli.bsky.social · 14/01/2026
Time-variance in catchment hydrologic function: why do some catchments show it and others don't? Our paper shows that subsurface structure mediates climate-induced year-to-year variability of catchment hydrologic function agupubs.onlinelibrary.wiley.com/doi/10.1029/... #agupubs #ClimateChange
agupubs.onlinelibrary.wiley.com
Time Variance in Snowmelt Partitioning: A Mechanistic Modeling Approach to Explore the Role of Catchment Structure and Pre‐Snow Rainfall
Pre-snow rainfall variability alters snowmelt partitioning pattern (SPP) into storage versus runoff, with the magnitude of impact mediated by the extent of hydraulic conductivity's lateral heterog...
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Ali Ameli @ali-ameli.bsky.social · 10/01/2026
AI river forecasts may be accurate – but based on flawed logic #AGUPubs #MachineLearning www.muser.press/2026/01/09/c...
muser.press
Climate Science Digest: January 9, 2026 • Muser Press
Explore the latest insights from top science journals in the Muser Press roundup (January 9, 2026), featuring impactful research on climate change challenges.
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Ali Ameli @ali-ameli.bsky.social · 01/01/2026
Deep Learning predicts streamflow beautifully. But does it "think" like a hydrologist? Our WRR paper shows the answer is no, with implications for hydrologic forecasts. Good news: we can diagnose this. Our new XAI framework opens the black box using hydrologic principles. #AGUPubs #MachineLearning
agupubs.onlinelibrary.wiley.com
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Ali Ameli @ali-ameli.bsky.social · 10/12/2025
If you are at #AGU25 this year, check out my group's oral presentations on catchment hydrologic function from local to global scales H13D-03 (Monday, 14:35 - 14:45 in 228) H22J-02 (Tuesday 10:45 - 10:55 in 342) H41E-04 (Thursday 09:17 - 09:31 in 231) H52G-03 (Friday, 10:57 - 11:09 in 228)
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Ali Ameli @ali-ameli.bsky.social · 04/08/2025
Great honor to receive the @CGU_UGC 2025 #YoungScientistAward cgu-ugc.ca/awards/young... Thanks to my nominators. Read more about it here www.eoas.ubc.ca/news/1749850...
cgu-ugc.ca
Young Scientist Award
CGU Young Scientist Award The CGU Young Scientist Award recognizes outstanding research contributions by a young scientist who is a CGU member. Both the quality and impact of research are considere…
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Ali Ameli @ali-ameli.bsky.social · 25/04/2025
New Open-Access Simulation of North American Groundwater Table Depth Read the article here: www.sciencedirect.com/science/arti... Explore and download the simulations here: hgs4wm.eoas.ubc.ca/products/map Please share this announcement with others who may benefit from these simulations
sciencedirect.com
Tackling water table depth modeling via machine learning: From proxy observations to verifiability
Spatial patterns of water table depth (WTD) play a crucial role in shaping ecological resilience, hydrological connectivity, and human-centric systems…
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Ali Ameli @ali-ameli.bsky.social · 03/04/2025
PhD Position: Hydroclimatology and Deep Learning at Polytechnique Montreal or UBC-Vancouver Keywords: Hydrology, Climate, Deep Learning Emulator, Convection-Permitting Models, Extreme Events, Physical Consistency, Spatio-Temporal Downscaling Read more here: hgs4wm.eoas.ubc.ca/jobs Please repost
hgs4wm.eoas.ubc.ca
HydroGeoScience for Waterhsed Management Research Group
Research Website
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Ali Ameli @ali-ameli.bsky.social · 23/03/2025
Do all catchments exhibit nonlinear and non-stationary behavior? A large-sample analysis of stormflow events reveals that the simple dynamics of Linear Time-Invariant systems are surprisingly common along wet/steep out-of-phase catchments. Read here: agupubs.onlinelibrary.wiley.com/doi/10.1029/...
agupubs.onlinelibrary.wiley.com
Searching for Functional Simplicity of Stormflow Generation
Dormant seasons' simple stormflow functionality is prevalent, occurring mostly along steep catchments with wet/out-of-phase climate Simple catchments transfer precipitation pulses into the stream...
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