Fog as a meteorological phenomenon can have a high impact on the economy but also on personal safety. The estimated total economic losses associated with fog events on aviation, marine and land transportation to be comparable to those of winter storms.
There is thus increasing demand for precise fog forecasting. Despite the improvements in numerical weather prediction models over recent years, accurate forecasting of fog is still challenging. The main reason is fog’s considerable variability in space and time as a result of the nonlinear interaction between several processes, such as radiation, turbulent mixing, cloud microphysics, and energy transfer in the atmosphere–surface–soil continuum. Turbulence-resolving simulations (so-called
large-eddy simulations, LES) provide an ideal framework for studying these processes and their interaction.
This talk provides an introduction into the fog physics and its life cycle and outline recent advancements in fog research using high-resolution LES at Leibniz University Hannover.
Invited by Christoph Thomas, Micrometeorology
Understanding biodiversity dynamics – from human dominated systems to the fossil record.
Kastilien, Navarra und das Baskenland: Orchideen im Land Don Quijotes
Mehr als Sonne und Strand: Pflanzen der Karibik
Adivasis in the Anthropocene - What an Environmental History of Eastern India can tell us about the global agricultural and food crisis
Why Science Communication?
Stoichiometric controls of C and N cycling
Flying halfway across the globe to dig in the dirt – a research stay in Bloomington, USA
EGU – interesting research and free coffee