CoRAL Lab 🪸 VT
@CoRAL_Lab_VT
We integrate physics-informed and data-driven models to understand compound flood dynamics. PI: @davidmunozpauta @virginia_tech
You might like
A great collaboration with colleagues from @VirginiaTechCEE and @hydr_vub We push the boundaries of transfer learning for #extreme water level prediction 🌊 across scales! @vtnews Stayed tuned for a follow up study at the global scale 🤓 🌎🌍🌏 news.vt.edu/articles/2025/…
🚨We’re proud to share @Shadman_144’s first lead-author article from his PhD. We investigated how nonlinear interactions 📈📉 in total water levels🌊 evolve in space over annual scales & during tropical cyclones. @VirginiaTechCEE doi.org/10.1016/j.advw…
🚨Haven’t decided where to submit your top notch research on multi-hazard flood modeling?🌀 🌊💧💨 Join us at #AGU2025 for an engaging discussion of interdisciplinary research, novel methods and practical applications for (compound) flood modeling in inland🏔️ and coastal🏝️ areas
Muchas gracias #HuellaZero por ayudar a difundir nuestra investigación 🤖 sobre la predicción de niveles de agua e inundaciones 🌊 por huracanes 🌀con las comunidades latinas e hispanohablantes huella-zero.org/investigadores…
Grateful with Fredricka Whitfield and her team from @CNN for the opportunity to talk about the @CoRAL_Lab_VT My research group combines physics-based and data-driven models #AI to improve the prediction of compound flood hazards and risks @VirginiaTechCEE #GoHokies
#VirginiaTech researchers are teaming up across disciplines to better predict hurricane-driven flooding and help communities prepare for extreme weather. Here's how. ➡️ brnw.ch/21wU5aU
Could AI help predict catastrophic floods? This Virginia Tech professor thinks so - WTOP - “Our model, it's super accurate,” said David Munoz, an assistant professor in Virginia Tech's Civil and Environmental Engineering program. “It's ... - ift.tt/SLfbYD8
Assistant Professor at Virginia Tech, David F. Muñoz, joins FOX Weather to share how researchers use deep learning to predict future floods. #hurricaneseason #flood #rain #FoxWeather
🚨Free access to @SODaramola’s latest research is available now! Check how customized deep learning architectures 🤖 can learn (and predict) compound flood dynamics 🌊 in space🌌 & time⏳for multiple cyclonic events🌀⛈️ authors.elsevier.com/c/1l0tC4sKhEgv… @VirginiaTechCEE @bamaengineering
We are super excited to share Samuel’s first PhD paper 🤓📜Here, we address the limitations of transfer learning and show that, despite site-specific conditions, DL models can generalize spatiotemporal patterns of water levels 🌊 from tropical cyclones🌀 dx.doi.org/10.1029/2024WR…
We just had the opportunity to present in this international workshop. Thanks to CMCC Foundation - Centro Euro Mediterraneo sui Cambiamenti Climatici @FOCCUS_eu Want to know more? Check the preprint article lead by @SODaramola #GoHokies @VirginiaTechCEE doi.org/10.22541/essoa…
We had lots of fun playing with dye, water, sand, and legos and explaining #hurricanes, compound #flooding, and #sea level rise 🌊 to kids and their parents in Spanish! Gracias @FralinLifeSci por organizar Kids’ Tech University en Español.
🚨 New publication 🚨 📓 Our latest research shows how blending satellite data 🌧️ 🛰️ with #ML 🤖 can significantly enhance runoff and peak flow 🌊 #forecasting in mountainous settings ⛰️ 👀Check this innovative approach for data scarcity areas tinyurl.com/yvp4wfwx
🚨 Exciting news! 🎉🍻 Our paper was accepted today! 😎 We’re exploring innovative solutions to tackle data and modeling challenges in operational hydrology. Stay tuned for the link to the article 👀📝
🚨 Pleased to introduce our invited speakers 🗣️🗣️ working with #hybrid #modeling and #digitaltwin systems for flood hazard and risk assessment 🤖 ➡️🏞️🌊Come join us in our session at @theAGU 😄 #AGU24
We're excited to invite you to submit an abstract to our session: NH026 - Hybrid Modeling and Digital Twin Systems for Flood Hazard Prediction and Risk Assessment at Different Spatial Scales. Join us at #AGU24! agu.confex.com/agu/agu24/prel…
🚨Our team will be hosting a cool session at @theAGU🍂 Are you working with process-based models, #statistical analysis or #ML? 🤖Want to know more on #digitaltwin systems for flood hazard and risk assessment?⚠️ 🌊⛔️Look no further, this session is for you! Come join us 😄 #AGU24
Please consider submitting an abstract to our session ⬇️ See you all at @theAGU @VirginiaTechCEE @UTAustin @universityofga @RiceUniversity @ENGINEERINGatOU #AGU24
🚨Our team will be hosting a cool session at @theAGU🍂 Are you working with process-based models, #statistical analysis or #ML? 🤖Want to know more on #digitaltwin systems for flood hazard and risk assessment?⚠️ 🌊⛔️Look no further, this session is for you! Come join us 😄 #AGU24
New Research article: Quantifying cascading uncertainty in compound flood modeling with linked process-based and machine learning models doi.org/10.5194/hess-2…
Great collaboration between @UofAlabama and @VirginiaTechCEE How do uncertainty sources in #compound_flood modeling evolve during the onset, peak, and dissipation of #extreme water levels? 🌊 Check it out ⬇️
‼️Interested in the sources of uncertainty of #compound_flooding? 🤔Check out our publication in @EGU_HESS with @HamedMoftakhari @HamidMoradkhani We tracked the evolution of uncertainty in #extreme water level dynamics🌊linking #hydrodynamic_models and #ML doi.org/10.5194/hess-2…
Congratulations to Chris Mansky, our first MSc. student in the CoRAL Lab. We wish Chris all the best and success in his future work! Special thanks to the committee members @TrippShealy and Kevin Young for their support in the thesis development #GoHokies @VirginiaTechCEE
United States Trends
- 1. Bears 47.1K posts
- 2. Josh Allen 17K posts
- 3. JJ McCarthy 8,447 posts
- 4. Packers 35.2K posts
- 5. Chargers 18.3K posts
- 6. Vikings 24.8K posts
- 7. Bengals 19.1K posts
- 8. Bucs 11.2K posts
- 9. Bryce Young 4,523 posts
- 10. Bills 105K posts
- 11. Sean Tucker 3,460 posts
- 12. Ramsey 6,920 posts
- 13. Steelers 31.4K posts
- 14. Hyatt 3,135 posts
- 15. Falcons 18.7K posts
- 16. Jameis 11.6K posts
- 17. #GoPackGo 5,209 posts
- 18. #HereWeGo 4,670 posts
- 19. Caleb 31.2K posts
- 20. #Skol 3,964 posts
Something went wrong.
Something went wrong.