Learning Resources
The SEED-FD learning resources offer insights into the project’s innovative hydrological modelling and forecasting methods. New resources and information will be added regularly.
Watch on YouTube
SEED-FD Project Objectives
and Project Phases
In this video, you will explore how SEED-FD strengthens flood and drought prediction by enhancing the Copernicus Emergency Management Service. Discover the project’s key objectives and phases, from improving hydrological models to integrating innovative data sources.
Watch on YouTube
SEED-FD's Innovative Data Approach
In this video, you will discover SEED-FD’s innovative data approach to flood and drought forecasting. Explore how SEED-FD integrates satellite-based Earth observation data, local micro-station measurements, advanced model calibration and real-time data assimilation to improve predictions globally.
Watch on YouTube
SEED-FD's Hydrological Model Improvements
Discover in this video how SEED-FD enhances the CEMS hydrological model to better represent complex processes like groundwater, reservoirs, and wetlands. These improvements support more reliable flood and drought forecasts – especially in areas with limited observational data.
Watch on YouTube
SEED-FD's Enhanced Forecasting Capabilities
In this video, you will explore how SEED-FD enhances forecasting of extreme weather by using AI and developing new tools to predict a wider range of flood and drought events. All innovations feed into a unified forecasting system and are tested across diverse regions to ensure global applicability.
SEED-FD IN A NUTSHELL
The SEED-FD flyer provides information about the project, including its objectives, methods, phases, expected outcomes, and contact information. Download it for a quick overview of the SEED-FD project.
Where will SEED-FD’s improvements
be implemented?
The Global Flood Awareness System (GloFAS), part of the Copernicus Emergency Management Service (CEMS), delivers worldwide flood forecasts. SEED-FD enhances GloFAS by integrating advanced hydrological data, improving accuracy, and expanding forecasting products.
Which hydrological model is
SEED-FD enhancing?
LISFLOOD is a hydrological model, which simulates floods and droughts. It powers the CEMS Early Warning Systems like GloFAS, providing real-time forecasts globally. SEED-FD further develops LISFLOOD by integrating data and innovative modelling techniques, ensuring more accurate predictions.
SEED-FD Project Objectives and Project Phases
In this video, you will learn how SEED-FD strengthens flood and drought prediction by enhancing the Copernicus Emergency Management Service. Discover the project’s key objectives and phases, from improving hydrological models to integrating innovative data sources.
Watch on YouTube
SEED-FD's Innovative Data Approach
In this video, you will discover SEED-FD’s innovative data approach to flood and drought forecasting. Explore how SEED-FD integrates satellite-based Earth observation data, local micro-station measurements, advanced model calibration and real-time data assimilation to improve predictions globally.
Watch on YouTube
SEED-FD's Hydrological Model Improvements
Discover in this video how SEED-FD enhances the CEMS hydrological model to better represent complex processes like groundwater, reservoirs, and wetlands. These improvements support more reliable flood and drought forecasts – especially in areas with limited observational data.
Watch on YouTube
SEED-FD's Enhanced Forecasting Capabilities
In this video, you will explore how SEED-FD enhances forecasting of extreme weather by using AI and developing new tools to predict a wider range of flood and drought events. All innovations feed into a unified forecasting system and are tested across diverse regions to ensure global applicability.
Watch on YouTube
SEED-FD IN A NUTSHELL
The SEED-FD flyer provides information about the project, including its objectives, methods, phases, expected outcomes, and contact information. Download it for a quick overview of the SEED-FD project.
Where will SEED-FD’s improvements be implemented?
The Global Flood Awareness System (GloFAS), part of the Copernicus Emergency Management Service (CEMS), delivers worldwide flood forecasts. SEED-FD enhances GloFAS by integrating advanced hydrological data, improving accuracy, and expanding forecasting products.
Which hydrological model is SEED-FD enhancing?
LISFLOOD is a hydrological model, which simulates floods and droughts. It powers the CEMS Early Warning Systems like GloFAS, providing real-time forecasts globally. SEED-FD further develops LISFLOOD by integrating data and innovative modelling techniques, ensuring more accurate predictions.