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Water Institute proposes Flood ID forecasting, model-sharing and capacity building for Region 9 Garvin Pittman and the Water Institute presented a package of nonstructural actions to the Amite River Basin Commission on Feb. 10, proposing a Flood ID forecasting rollout north of I‑12, CRS participation, grant-management training and a public model repository while cautioning integration and ROI must be clarified.

A groundbreaking proposal to enhance flood forecasting and model accessibility could revolutionize emergency preparedness in the Amite River Basin.

Get the details!

#LivingstonParish #LA #CitizenPortal #FloodForecasting #EmergencyPreparedness #CommunityRatingSystem

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🌊 GPU-accelerated coastal flood model with local time stepping handles dense urban sea–land grids, cutting computation ~40Γ— for Macau storm surge forecasts.
πŸ”— www.sciopen.com/article/10.2...
#CoastalModeling #FloodForecasting #TUP
#GPUComputing #SciOpen @tsinghuauniversity.bsky.social πŸ§ͺ🌏🌐

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Find out about the career trajectory of Fredrik Wetterhall, who has transitioned from working in #FloodForecasting when he joined #ECMWF in 2011 to leading some of our involvement in external projects.

➑️ www.ecmwf.int/en/about/med...

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The news article for the CREW #DelugeAI project workshop is now up.

Learn more about how AI and machine learning could aid flood forecasting here ⬇️

tinyurl.com/3t8ehebu

@unistrathclyde.bsky.social @scottishepa.bsky.social
#HydrologicalExtremes #FloodForecasting #ArtificialIntelligence

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Photo credit: Chris White and team

A slide from the CREW project workshop introducing 'DelugeAI: A review of the emergin opportunities of using artifical intelligence for flood forecasting in scotland.

Photo credit: Chris White and team A slide from the CREW project workshop introducing 'DelugeAI: A review of the emergin opportunities of using artifical intelligence for flood forecasting in scotland.

5/5 The consensus - #ArtificialIntelligence has potential for #FloodForecasting. πŸ’§

CREW’s #DelugeAI project continues to explore next steps.
If you’d like to learn more look out for our upcoming workshop news article...

@scottishepa.bsky.social @unistrathclyde.bsky.social

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Photo credit: Chris White and team (University of Strathclyde)

A leading title slide from the DelugeAI CREW project workshop titles A review of the emerging opportunities of using artificial intelligence for flood forecasting in Scotland.

Photo credit: Chris White and team (University of Strathclyde) A leading title slide from the DelugeAI CREW project workshop titles A review of the emerging opportunities of using artificial intelligence for flood forecasting in Scotland.

🧡1/5 Could AI help #FloodForecasting in Scotland?

At a recent CREW project workshop, experts from across the globe gathered to explore how #ArtificialIntelligence could support flood forecasting. Here's what we learned. πŸ‘‡

@scottishepa.bsky.social @unistrathclyde.bsky.social

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#NaturalFloodManagement #RiskMapping #SpatialPlanning #PropertyFloodResilience #FloodForecasting #SmartGullies #FloodHub

You may also find Charlotte Squire's earlier talk 🎀on #StakeholderEngagement in #DRIP
▢️https://youtu.be/DatTqHyIgM0▢️
@exeter.ac.uk

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Global Flood Awareness System – GloFAS News Registrations are now open for the 4th Copernicus Emergency Management Service  Global Flood Forecasting and Monitoring Meeting. The event will be hosted online on 02 and  03 April...

🌊 Interested in the newest developments of Global #FloodForecasting and Monitoring? Register for the 4th CEMS #GloFAS and #GFM meeting (April 2-3). Online workshops, product updates, and networking with the global flood community. Who's joining? πŸ‘‰ global-flood.emergency.copernicus.eu/news/193-4th...

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AI Boosts Global Flood Forecasting, Enhancing Accuracy and Disaster Response AI-powered flood forecasting improves global precision, offering reliable seven-day lead times even in data-scarce regions, bridging gaps in disaster resilience worldwide.

AI Boosts Global Flood Forecasting, Enhancing Accuracy and Disaster Response πŸŒŠπŸŒπŸ€– www.azoai.com/news/2024111... #AI #FloodForecasting #DisasterResponse #ClimateTech #MachineLearning #GlobalImpact #DataScience #Hydrology #Sustainability #TechInnovation

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Job Ad: The Swiss Federal Institute for Forest, Snow and Landscape Research WSL is part of the ETH Domain. Approximately 600 people work on the sustainable use and protection of the environment and on the handling of natural hazards.


The Mountain Hydrology and Mass Movements research unit develops principles for sustainable water management and investigates flood and torrential processes in predominantly mountainous regions. For the GLORI-A (Global-to-Regional ICON Alpine Twin) initiative we are looking for a qualified candidate, starting in January 2025 or upon agreement, as a
Scientist in Digital Twins for Flood Forecasting in Alpine Space 80 - 100% (f/m/d)

As part of the GLORI-A (Global-to-Regional ICON Alpine Twin) initiative MeteoSwiss is developing a digital twin of the earth weather system with increased resolution over the Alpine region. GLORI-A will advance modelling science and technology to increase horizontal resolution of weather forecasts and to provide user-tailored data in case of floods. WSL will support MeteoSwiss in estimating added values of on-demand weather-forecast for anticipation of impactful floods in the Alps. In this position you will work on the interface between a configurable Digital Twin of the European Alps and hydrological impact models for Switzerland. You develop interfaces between tailored weather forecasts and an ensemble of hydrological models used in Switzerland. You translate your finding into real-world applications for our stakeholders. Last but not least you like publish your outcomes in scientific journals. Your workplace will be equally shared between WSL (Birmensdorf) and MeteoSwiss (Zurich Airport) and you will work at the interface between two well acknowledged small teams. As part of the project, you will be co-responsible of a PhD student at WSL.

You have a doctoral degree with some years of Postdoc experience in natural sciences and experience in hydrometeorological and environmental modelling as well as an in-…

Job Ad: The Swiss Federal Institute for Forest, Snow and Landscape Research WSL is part of the ETH Domain. Approximately 600 people work on the sustainable use and protection of the environment and on the handling of natural hazards. The Mountain Hydrology and Mass Movements research unit develops principles for sustainable water management and investigates flood and torrential processes in predominantly mountainous regions. For the GLORI-A (Global-to-Regional ICON Alpine Twin) initiative we are looking for a qualified candidate, starting in January 2025 or upon agreement, as a Scientist in Digital Twins for Flood Forecasting in Alpine Space 80 - 100% (f/m/d) As part of the GLORI-A (Global-to-Regional ICON Alpine Twin) initiative MeteoSwiss is developing a digital twin of the earth weather system with increased resolution over the Alpine region. GLORI-A will advance modelling science and technology to increase horizontal resolution of weather forecasts and to provide user-tailored data in case of floods. WSL will support MeteoSwiss in estimating added values of on-demand weather-forecast for anticipation of impactful floods in the Alps. In this position you will work on the interface between a configurable Digital Twin of the European Alps and hydrological impact models for Switzerland. You develop interfaces between tailored weather forecasts and an ensemble of hydrological models used in Switzerland. You translate your finding into real-world applications for our stakeholders. Last but not least you like publish your outcomes in scientific journals. Your workplace will be equally shared between WSL (Birmensdorf) and MeteoSwiss (Zurich Airport) and you will work at the interface between two well acknowledged small teams. As part of the project, you will be co-responsible of a PhD student at WSL. You have a doctoral degree with some years of Postdoc experience in natural sciences and experience in hydrometeorological and environmental modelling as well as an in-…

#Sciencejob Alert! Our Mountain #Hydrology and Mass Movements research unit is looking for a scientist in digital twins for flood forecasting in Alpine space: apply.refline.ch/273855/1678/... #digitaltwin #hydrometeorology #modelling #floodforecasting @hydrologywsl.bsky.social

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Hybrid AI Model Revolutionizes Flood Forecasting Researchers introduced an RS-LSTM-Transformer hybrid model for flood forecasting, combining random search optimization, LSTM networks, and transformer architecture. Tested in the Jingle watershed, thi...

1/2.πŸŒŠπŸ“ŠπŸ€– Harness the power of AI to predict and mitigate the devastating impacts of floods. www.azoai.com/news/2024052... #AI #Innovation #FloodForecasting #Technology #MachineLearning #Hydrology #Safety #ClimateChange #DataScience #FutureTech

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Google Research unveils AI's pivotal role in precise flood forecasting across 80+ countries, foreseeing floods up to seven days ahead. Revolutionizing disaster preparedness worldwide. #AI #floodforecasting #GoogleResearch

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