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 🤓 🌎🌍🌏
https://t.co/CKJwmlCey3
🚨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
https://t.co/dVpBIN3lzp
🚨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 https://t.co/GJ1G91eAen
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. ➡️ https://t.co/gMKaiGHL1V
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 ... - https://t.co/dMOqG7jUvT
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🌀⛈️ https://t.co/8OWxeorleM @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🌀 https://t.co/grfFYPx1my
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
https://t.co/FU51ipmkUa
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
https://t.co/wcId78mZgd
🚨 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! https://t.co/StZJ8RgfZC
🚨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 https://t.co/FjejHsmLPN
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 ⬇️