SnowFogS
- Contact:
Marina Zara
Babak Jahani
- Funding:
BMWK, Federal Ministry for Economic Affairs and Climate Action
- Partner:
Fraunhofer ISE, Freiburg (link: https://www.ise.fraunhofer.de)
- Start Date:
2021
- End Date:
2023
Project Summary
SnowFogS - Detection and Nowcasting of Fog and Snow for Photovoltaics Forecasting
Reliable forecasts of photovoltaics (PV) power are required for power marketing and grid operation. However, these forecasts are of low quality in many situations. In particular, the development of snow cover and fog is difficult to predict. The aim of this project is to improve PV forecasts in situations with fog or snow on PV installations. To this end, satellite-based detection and nowcasting, statistics-based very short-term forecasting, are to be improved and employed as a basis for better PV forecasts.
Project Contributions
Our contributions to the project:
- Detection of fog and snow from satellite data using phyics-based techniques and machine learning
- Nowcasting of fog dissipation based on environmental conditions using statistical techniques / machine learning
Publications & Resources
| Title | Link |
|---|---|
| Pauli, E.; Cermak, J.; Andersen, H. (2022): A satellite-based climatology of fog and low stratus formation and dissipation times in central Europe, Quarterly Journal of the Royal Meteorological Society | Link |
| Pauli, E., Cermak, J., Andersen, H., & Fuchs, J. (2024) An analysis of fog and low stratus life-cycle regimes over central Europe, Quarterly Journal of the Royal Meteorological Society | Link |
| Jahani, B. (2025) Evaluation of automated cloud microphysics retrievals using active satellite remote sensing, Atmospheric Measurement Techniques | Link |
| Pauli et al. (2021) - EGU Abstract | Link |
| Pauli et al. (2022) - EGU Abstract | Link |
| Pauli et al. (2023) - EGU Abstract | Link |