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X-WR-CALDESC:Events for STARS4Water
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DTSTART;VALUE=DATE:20240414
DTEND;VALUE=DATE:20240420
DTSTAMP:20260427T080423
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SUMMARY:EGU24 General Assembly\, Vienna Austria
DESCRIPTION:The General Assembly 2024 of the European Geosciences Union (EGU) will be held at the Austria Center Vienna (ACV) in Vienna\, Austria and online\, from 14–19 April 2024. \nThe EGU General Assembly 2024 brings together geoscientists from all over the world to one meeting covering all disciplines of the Earth\, planetary\, and space sciences. The EGU aims to provide a forum where scientists\, especially early career researchers\, can present their work and discuss their ideas with experts in all fields of geoscience. \nSTARS4Water partners will participate and present their project research activities. \nFor more information visit the EGU 2024 website \nThe EGU 2024 Programme can be downloaded here.
URL:https://stars4water.eu/event/egu24-general-assembly-vienna-austria/
LOCATION:Austria Center Vienna\, Bruno-Kreisky-Platz 1\, Vienna\, 1220\, Austria
CATEGORIES:General Assembly
ATTACH;FMTTYPE=image/png:https://stars4water.eu/wp-content/uploads/2024/11/EGU-2024.png
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DTSTART;TZID=Europe/Paris:20240424T133000
DTEND;TZID=Europe/Paris:20240425T133000
DTSTAMP:20260427T080423
CREATED:20240414T164959Z
LAST-MODIFIED:20240414T165504Z
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SUMMARY:Workshop on “Data-driven hydrology and machine learning algorithms for water management and risk assessment”
DESCRIPTION:Join us for a 2-day Workshop on “Data-driven hydrology and machine learning algorithms for water management and risk assessment” organized by the STARS4Water and DRHYM (data-driven hybrid hydrological models) projects. \nThe hydrological community has been paying particular attention to the advantages of using machine-learned hydrologic models or model components in the last years. Their aims span over a variety of open opportunities for research and operations in the water sector. From input data processing to model output prediction\, novel techniques have been explored to support a large number of hydrological applications\, such as: forecasting of extreme events (floods and droughts)\, predicting water use patterns and projecting future water demand\, detecting patterns in reservoir management and predicting releases\, regionalizing hydrological model’s parameters over large river basins\, regionalizing groundwater information at the catchment scale. \nThis workshop aims to bring together hydrologists and data-driven experts to explore pathways to bring new data sets and data-driven modelling approaches from hydrologic research to the more practical and operational planning level in river basins. By participating in this workshop\, you will: (1) gain an understanding of differentiable models\, (2) develop hands-on experience building and applying deep learning models for rainfall-runoff modeling\, and (3) get a feeling for the role of architectures and data. Most importantly\, however\, the workshop will provide you with a good foundation for continued exploration of deep learning in environmental applications. \nWhen: Wednesday 24 April 13:30 CEST to Thursday 25 April 13:30 CEST \nWhere: INRAE\,  1 rue Pierre-Gilles de Gennes\, 92160 Antony\, France \nParticipants: STARS4Water & DRHYM partners and registered attendees \nFormat: On-site & Online (Session I and Session II) & On-site only (Session III) \n  \nPROGRAMME \nHere you will find further details about the Programme \n  \nREGISTRATION\nSecure your spot for this event\, by registering here. \n 
URL:https://stars4water.eu/event/workshop-on-data-driven-hydrology-and-machine-learning-algorithms-for-water-management-and-risk-assessment/
LOCATION:INRAE\, 1 rue Pierre-Gilles de Gennes\, 92160 Antony\, France
CATEGORIES:Workshop
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