Weather

The presentation gives an overview of cold-season derechos that occurred across Central Europe between 1997 and 2014. The environmental conditions leading to persistent, intense thunderstorms and associated long-track high wind events are analyzed using reanalysis data and proximity soundings. A focus is the development of deep moist convection in initially stable air masses due to synoptic-scale processes.

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The environments of non-severe and severe thunderstorms in Central Europe were studied using 16421 proximity soundings acquired in the period from December 2007 to December 2013. In this presentation, we will concentrate on different sounding-derived parameters and how their values change with the increasing severity of thunderstorm-related hazards (large hail, severe wind gusts, tornadoes, excessive precipitation). For example, we show that probability of these hazards as a function of CAPE and 0-6 km bulk shear is different for each hazard. We also present implications for forecasters, such as that area of parameter space with the highest probability of particular hazard may not collocate with the area where it is most frequent.

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TSN-Trusted Spotter Network Austria (www.zamg.ac.at/tsn_en) was established to build up a reliable network between storm - spotters and chasers, operational forecasters and scientists. TSN in its current state constitutes the collaboration between the Austrian meteorological service ZAMG (www.zamg.ac.at), SKYWARN AUSTRIA with its various partner organizations and the European Severe Storms Laboratory ESSL with its EUROPEAN SEVERE WEATHER DATABASE ESWD. One aim of this collaboration was a standardization of severe weather reports from the partners according to ESWD standards. We want to introduce the Trusted Spotter Network Austria and its MO, also the performance of ESWD reports from Austria relating to heavy rain, severe wind gusts, hail and other parameters will be shown in our presentation.

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Firstly, the characteristics of synoptic weather which convective cloud occurs over eastern Asian region will be mentioned and the thunderstorm monitoring system with radar data which KMA forecasters use will be also introduced. And then I will present our convective cases and explain them with satellite, radar and other NWP data.

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Delineating areas where convection is most/least likely to develop can be difficult, especially in the next 3-9 hours. Knowing how forecasts can extend the usefulness of SEVIRI products from observations to forecasts can be equally challenging. This talk discusses a new forecast tool that addresses a number of questions: How can SEVIRI products be used to monitor and predict areas that are becoming more/less supportive for development of convection? Will the details in the SEVIRI observations be retained by short-range forecast tool? How do the derived SEVIRI forecast products relate to standard satellite forecasting conventions? Can IR satellite observations still be useful after convection has begun and clouds have formed? Are the SEVIRI projections useful for monitoring NWP performance?

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The extra tropical transition (ETT) of Hurricanes over the Atlantic is something that happens about 5 times a year and can severely disrupt the weather forecast. In this CAL the important features of ETT are addressed and physical theories are presented. After each chapter several exercises allow you to test the theory.

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Since 2004, EUMETSAT is deriving the Multi-Sensor Precipitation Estimate (MPE) product operationally. The MPE product retrieval is based on a blending technique that uses microwave information from SSMI-S instrument onboard DMSP-F16 polar satellite and infrared information from the Spinning Enhanced Visible and Infra Red Imager (SEVIRI) instrument onboard MSG geostationary satellites. It consists of a rain rate given every 15 minutes at MSG pixel resolution (3x3km2). Although the retrieval is not a state-of-the-art technique, the product has proven to be quite robust and valuable for deep convective precipitation detection. This presentation will present the MPE product and show some example of potential improvements for future SEVIRI precipitation product.

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Within the CM SAF we have developed an algorithm for the retrieval of daytime cloud physical properties from MSG-SEVIRI. This algorithm and the retrieval products will be described. Furthermore applications will be discussed with a focus on convection.

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In the presentation the recent upgrades and future developments of the H-SAF products for the monitoring of convective precipitation will be highlighted. The application of a new version of NEFODINA, a tool developed by CNMCA for the detection of convective systems, will be introduced and different improvements such as the application of a calibration formula and the release of new products versions, developed for monitoring the MSG SEVIRI full disk area, will be shown.

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Mountainous regions tend to be the starting point for convective developments due to their elevated heat sources, the topographic amplifying factor or their role as a flow obstacle. In this presentation different synoptic situations and the consequent convection will be analyzed in the Alpine region on the hand of case studies.

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Next to sufficient instability, strong vertical wind shear is the main driver that promotes thunderstorms to organize into multicells, supercells or lines, which are more probable to attain a longer lifetime and to produce severe weather phenomena like hail or wind gusts. The role of vertical wind shear in storm organization is explained in this presentation, and selected case studies illustrate how favorable conditions for severe storms can evolve either by large-scale processes or, more challenging for forecasters, by local modifications of the wind systems and associated temperature and humidity changes.

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In this module the basics of Nowcasting in the forecast room are explained. Its practical use in the weather room is explained with a series of examples.

The second part deals with explanation and testing of Nowcasting for various situations such as convective events, frontal situations or Fog. By adding more source-material a student is taught how to improve his Nowcasting skills.

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