EGU24-15582, updated on 09 Mar 2024
https://doi.org/10.5194/egusphere-egu24-15582
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

A satellite-based analysis of fog and low stratus life cycle processes in the Po valley, Italy

Eva Pauli1,2, Jan Cermak1,2, Hendrik Andersen1,2, and Michaela Schütz3
Eva Pauli et al.
  • 1Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research, Atmospheric Trace Gases and Remote Sensing, Karlsruhe, Germany (eva.pauli@kit.edu)
  • 2Karlsruhe Institute of Technology, Institute of Photogrammetry and Remote Sensing, Karlsruhe, Germany
  • 3Laboratory for Climatology and Remote Sensing, Faculty of Geography, University of Marburg, Marburg, Germany

A better understanding of fog and low stratus (FLS) life cycle processes can help traffic safety, improve solar power planning and enhance the understanding of ecosystem processes in fog-prone regions. Nevertheless, large-scale analyses of FLS life cycle processes are challenging due to the high spatial variability of FLS and complex interactions between the land surface and the atmosphere.

Here, we use a satellite-based FLS formation and dissipation time data set, as well as reanalysis data to investigate regional variations in the FLS life cycle in the Po valley region in northern Italy. With its large spatial extent, relatively low topographic variability and high FLS occurrence, the Po valley is an ideal area to study FLS life cycle processes in central Europe. In a case study approach, we analyze FLS life cycle processes pertaining to variations in land surface characteristics and atmospheric drivers. First results reveal the importance of the temporal development of temperature, specific humidity and boundary layer height for FLS formation during radiation-driven FLS events. These effects are further modified by the local topography and the synoptic situation.

This analysis provides a basis to set up further process-oriented sensitivity studies using explainable machine learning, which has shown to be an ideal tool to gain a deeper understanding of the effect of non-linear land-atmosphere interactions on the FLS life cycle.

How to cite: Pauli, E., Cermak, J., Andersen, H., and Schütz, M.: A satellite-based analysis of fog and low stratus life cycle processes in the Po valley, Italy, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-15582, https://doi.org/10.5194/egusphere-egu24-15582, 2024.

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