Next-generation weather intelligence for more accurate decision making throughout the economy
Skyfora is developing a pioneering 3D weather monitoring technology using GNSS signal delay data to provide real-time global weather information for better adaptation to climate change impacts.
Projectdetails
Introduction
In light of climate change, people around the world must increasingly cope with unexpected and unfavourable weather conditions with significant impact on the proper functioning of societies. Although significant work is done to mitigate climate change, it is inevitable that reversing the course will take time.
Importance of Adaptation
Meanwhile, it is essential to adapt to the new reality and the key to this is a better understanding of weather.
Innovation by Skyfora
For this purpose, Skyfora is developing a ground-breaking innovation that is the first to provide accurate and detailed weather information in 3D derived from GNSS signal delay data.
Technology Features
This technology enables real-time measurement of the most important weather parameters around the globe, instead of certain measured locations.
Benefits
As a result, the threats of extreme weather phenomena can be continuously monitored, including:
- Storms
- Floods
- Snowstorms
- Heatwaves
Timely measures can be taken to save lives and mitigate economic disruptions and financial risks.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 2.498.561 |
Totale projectbegroting | € 3.569.373 |
Tijdlijn
Startdatum | 1-2-2023 |
Einddatum | 31-7-2025 |
Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- SKYFORA OYpenvoerder
Land(en)
Vergelijkbare projecten binnen EIC Accelerator
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
Worlwide HYdrological Large-scale DatabasevorteX.io's WHYLD project utilizes innovative micro-stations and AI to provide real-time hydro-meteorological data for flood risk management across Europe. | EIC Accelerator | € 2.499.999 | 2023 | Details |
Precise, Global Temperature Data for a Growing PlanetConstellR aims to enhance global food production by 4% and reduce agricultural water waste through high-precision temperature data from a scalable microsatellite constellation. | EIC Accelerator | € 2.454.396 | 2022 | Details |
Satellite-based change detection and predictive monitoring of infrastructure grids based on high resolution dataLiveEO will develop an AI-driven satellite monitoring service to detect and predict infrastructure threats in real-time, providing actionable insights through mobile and web apps. | EIC Accelerator | € 1.735.300 | 2022 | Details |
Accelerating breakthrough Innovation to monitor, control and reduce Methane emissions.Absolut Sensing's GESat satellite constellation aims to provide accurate and affordable methane emissions data to support the Global Methane Pledge's 30% reduction target by 2030. | EIC Accelerator | € 2.498.125 | 2024 | Details |
Worlwide HYdrological Large-scale Database
vorteX.io's WHYLD project utilizes innovative micro-stations and AI to provide real-time hydro-meteorological data for flood risk management across Europe.
Precise, Global Temperature Data for a Growing Planet
ConstellR aims to enhance global food production by 4% and reduce agricultural water waste through high-precision temperature data from a scalable microsatellite constellation.
Satellite-based change detection and predictive monitoring of infrastructure grids based on high resolution data
LiveEO will develop an AI-driven satellite monitoring service to detect and predict infrastructure threats in real-time, providing actionable insights through mobile and web apps.
Accelerating breakthrough Innovation to monitor, control and reduce Methane emissions.
Absolut Sensing's GESat satellite constellation aims to provide accurate and affordable methane emissions data to support the Global Methane Pledge's 30% reduction target by 2030.
Vergelijkbare projecten uit andere regelingen
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
CaeliHet project onderzoekt de haalbaarheid van een AI-systeem voor het real-time voorspellen van klimatologische rampen en hun economische impact op overheid, gemeenten, burgers en verzekeraars. | Mkb-innovati... | € 20.000 | 2020 | Details |
Testing optical solutions for calibrating models that predict behavior of soil bodiesHet project ontwikkelt een geïntegreerd systeem van optische sensoren en rekenmodellen om grondgedrag onder extreme weersomstandigheden te voorspellen, ter verbetering van infrastructuurbeheer. | Mkb-innovati... | € 20.000 | 2021 | Details |
SkyDowser en DataplatformWaterMappers en Acacia ontwikkelen de SkyDowser, een innovatief meetinstrument en data-platform, om de teeltopbrengst in de landbouw met 5% te verhogen ondanks klimaatverandering. | Mkb-innovati... | € 249.375 | 2018 | Details |
Extratropical-Tropical interAction: A unified view on the extratropical impact on the subtropics and tropics at weather timescalesThis project aims to quantify and understand how extratropical dynamics influence tropical weather patterns, enhancing forecasting accuracy and climate projections through innovative modeling and observational studies. | ERC Starting... | € 1.687.470 | 2022 | Details |
Advancing Subseasonal PredIctions at Reduced computational EffortASPIRE aims to enhance subseasonal weather predictions by leveraging tropical convective variability and machine learning to reduce computational costs while improving forecast accuracy. | ERC Starting... | € 1.496.246 | 2023 | Details |
Caeli
Het project onderzoekt de haalbaarheid van een AI-systeem voor het real-time voorspellen van klimatologische rampen en hun economische impact op overheid, gemeenten, burgers en verzekeraars.
Testing optical solutions for calibrating models that predict behavior of soil bodies
Het project ontwikkelt een geïntegreerd systeem van optische sensoren en rekenmodellen om grondgedrag onder extreme weersomstandigheden te voorspellen, ter verbetering van infrastructuurbeheer.
SkyDowser en Dataplatform
WaterMappers en Acacia ontwikkelen de SkyDowser, een innovatief meetinstrument en data-platform, om de teeltopbrengst in de landbouw met 5% te verhogen ondanks klimaatverandering.
Extratropical-Tropical interAction: A unified view on the extratropical impact on the subtropics and tropics at weather timescales
This project aims to quantify and understand how extratropical dynamics influence tropical weather patterns, enhancing forecasting accuracy and climate projections through innovative modeling and observational studies.
Advancing Subseasonal PredIctions at Reduced computational Effort
ASPIRE aims to enhance subseasonal weather predictions by leveraging tropical convective variability and machine learning to reduce computational costs while improving forecast accuracy.