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Reed Maxwell Profile
Reed Maxwell

@reedh2o

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Professor of Hydrology, Bike Nerd

Joined May 2015
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@IGWMC
igwmc
10 months
đź’§ Hydrologic models often oversimplify water systems. This method brings in small-scale channel details to improve predictions w/o increased computational costs! #Hydrology https://t.co/gBOkQGhp9E @reedh2o @FrontiersIn
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@IGWMC
igwmc
11 months
💧 Heavy groundwater pumping can worsen sea-level rise and saltwater intrusion. This study by @reedh2o uses machine learning to map groundwater changes in coastal New Jersey—guiding sustainable water management. @FrontiersIn #Groundwater #ClimateResilience #Sustainability
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@IGWMC
igwmc
11 months
🌍💧 Can machine learning predict groundwater globally? This study by @reedh2o shows that blending U.S. and Denmark data improves Denmark’s groundwater forecasts—advancing global monitoring. @IOP #Groundwater #MachineLearning #Sustainability 🔗 https://t.co/D2b99dlwoB
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@reedh2o
Reed Maxwell
11 months
Honored for this work to be chosen as the hydrology paper of the day! Thanks for the recognition @KinarNicholas
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@EPrinceton
Princeton Engineering
11 months
A new simulation maps underground water on a continental scale, plotting the unseen path that each raindrop or melted snowflake takes before reemerging in freshwater streams. @reedh2o
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environment.princeton.edu
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@IGWMC
igwmc
11 months
Groundwater travels farther and deeper than researchers thought! 🌍💧 This study led by @reedh2o reveals how deep and inter-basin groundwater flows sustain streams, with big implications for water resilience in a changing climate. @naturewaterjnl #Hydrology #ClimateResilience
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@reedh2o
Reed Maxwell
11 months
How long are flowpaths from recharge through groundwater to streams? How connected are watersheds over the CONUS? tldr; longer and more connected than we thought. in @NatureWaterJnl with Chen Yang and @LCofthedesert @IGWMC @PrincetonEnviro @EPrinceton https://t.co/9dhAS81pvQ
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nature.com
Nature Water - Using a backward-particle-tracking simulation across the contiguous United States, this study quantifies the distance and depth of the groundwater entering a stream and highlights...
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@IGWMC
igwmc
11 months
❄️ Snow isn’t just winter’s decoration—it’s a lifeline. 🌍💧 Discover how snowmelt drives our water systems and why it’s more important than ever. #Snowmelt #WaterCycle #ClimateChange #WinterScience
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@IGWMC
igwmc
1 year
Here’s the schedule for tomorrow sessions (12/9) at #AGU24— don’t miss the IGWMC researchers sharing their work tomorrow! Click through the thread to see who will be presenting! See you there! @theAGU #Geoscience #AGU2024 #EarthScience #ClimateAction #AGU @reedh2o
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@EPrinceton
Princeton Engineering
1 year
This “digital twin” of the United States’ terrestrial water cycle, once developed, will be used to project future water availability. @reedh2o
@NSF
U.S. National Science Foundation
1 year
Predicting droughts and floods is tough without full water cycle data. HydroGEN, an AI project from the NSF-led NAIRR pilot, is creating a digital twin of the U.S. water cycle. Led by @Princeton & @uarizona, it aims to provide real-time forecasts to help communities adapt.
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@dr_monaghan
Jessica Monaghan
1 year
Amazing week of learning at QUEST included deepening our understanding of hydrologic concepts, exploration of models, kinesthetic activities, urban hydrology walk, machine learning, and incredible science communication!! Thank you! @reedh2o @IGWMC @leonard_ele @theH2Oshed
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@reedh2o
Reed Maxwell
1 year
Amazing talk by @LCofthedesert defining the need for global groundwater in ESMs! At the @GEWEX_WCRP meeting
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@reedh2o
Reed Maxwell
1 year
Can a DL emulator model learn continental scale hydrology? Yes it can. New paper out from our Hydro-ML team shows how! Nice work led by @arbennett_ and @LCofthedesert with @hoang_h2o @peter_melchior et al @EPrinceton @IGWMC https://t.co/8aTrr9mEfn
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@reedh2o
Reed Maxwell
2 years
What a great #ModflowAndMore24! AI, quantum computing, digital twins, remote sensing, global groundwater, mixed in with many traditional topics for groundwater modeling. Completely packed rooms and tons of nerding out. Big Thanks to the incredible @IGWMC team. @EPrinceton
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@reedh2o
Reed Maxwell
2 years
Thanks so much for the kind words and the beautiful pictures of the @Princeton campus! I’m so glad you enjoyed #ModflowAndMore24 and appreciated the hard work from the @igwmc team (with support from CEE, @EPrinceton and @PrincetonEnviro)
@saubhagya_hydro
Saubhagya Singh Rathore
2 years
It was great catching up with Hydrogeologists from academia, industry and government agencies at Modflow and More 2024 on beautiful Princeton University campus. Kudos to @reedh2o and team for great organization.
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@EPrinceton
Princeton Engineering
2 years
Reed Maxwell, one of the organizers of the MODFLOW and More conference at @Princeton this week, spoke on Monday on modeling #groundwater in China. The conference will continue today and tomorrow. Read more about it here: https://t.co/hWqsQwwa2A
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@EPrinceton
Princeton Engineering
2 years
Experts from academia and industry, students and policymakers are gathering at @Princeton to share strategies for understanding and securing the global supply of groundwater, which represents about 98 percent of the planet’s supply of liquid fresh water.👇 https://t.co/BCCJBriO8L
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engineering.princeton.edu
Leaders in groundwater research and management are convening at Princeton University next week for the world’s largest water modeling conference. Experts from academia and industry, students and...
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@reedh2o
Reed Maxwell
2 years
“Digital twins are about answering questions“ @DrChristaPL #ModflowAndMore24 @IGWMC @EPrinceton
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@reedh2o
Reed Maxwell
2 years
“Data science has entered the building” @DrChristaPL #ModflowAndMore24 @IGWMC @EPrinceton
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