- Multidisciplinary Expertise: Leveraging consolidated knowledge in key areas such as weather forecasting, climate projection downscaling, environmental monitoring, and natural hazard assessment.
- Heterogeneous Data Integration: Enabling the fusion of diverse data sources—including NWP model outputs, ground station observations, weather radar, and satellite imagery—into advanced models.
- Advanced Modelling: Supporting the creation of ML-based weather prediction and nowcasting systems.
Key Value: Designed to support both public and private stakeholders through prototyping and validating specific Earth solutions.
Practical example
Developing specialized tools for the earth domain requires integrating complex environmental datasets.
This service facilitates, among other activities:
- Precipitation Nowcasting: Collaborating with meteorological agencies to prototype systems that integrate radar composites and NWP outputs into short-range forecast tools for severe weather early warning.
- Renewable Energy Forecasting: Co-developing wind and solar production applications that combine high-resolution NWP data and satellite-derived irradiance with ML post-processing.
- Infrastructure & Trading Optimization: Optimizing day-ahead energy trading and generation planning through refined predictive modelling.
Case Study: An insurance company develops a climate risk assessment pipeline by integrating downscaled climate projections with exposure and vulnerability data. This refines their pricing models and deploys a nowcasting-based alerting product to inform clients.
