Weather
Craig D. Smith talks about automated observations of solid precipitation and snow cover that are still one of the most difficult meteorological measurements to make with any known level of uncertainty.
Automated observations of solid precipitation and snow cover are still one of the most difficult meteorological measurements to make with any known level of uncertainty. Many recommendations on best practices for measuring solid precipitation and snow cover emerged during and following the international Solid Precipitation Inter-Comparison Experiment (SPICE), including the development and application of transfer functions for adjusting precipitation gauge under-catch and techniques for minimizing errors in automated snow depth measurements. Following SPICE, work has continued on assessing and utilizing emerging technologies, such as optical and radar based present weather detectors, for improving the in situ measurement of solid precipitation. Furthermore, more effort is required to facilitate the transfer of techniques and best practices from research to application in operational networks.
In this presentation Tomaš Pučik and Christoph Gatzen explore different regimes under which ingredients come together and create marginal CAPE setups typical of winter
Forecasting deep-moist convection and lightning in winter is challenging, partly because it occurs outside the typical season and partly because it forms in the environments characterized by marginal buoyancy. Despite weak CAPE, winter time convective storms often pose a considerable severe weather risk given their frequent collocation with strong vertical wind shear. In this presentation we explore different regimes under which ingredients come together and create marginal CAPE setups typical of winter. These include synoptically strongly-forced situations, elevated storms and the lake-effect over the European seas.