NWP skills for operational meteorologist

Ok Hee received her BSc in Astronomy at the Chungbuk National University at Chungchungbukdo the province of South Korea (1992), and MSc in Meteorology from the Seoul National University in Seoul South Korea (2004). She is preparing for the PhD. Her areas of interest include severe weather, lake-effect snow, Asian dust, fog and applications of satellite imagery to weather forecasting, particularly on the mesoscale. She worked at weather forecasting division as assistant for weather forecaster for 3 years from 1992 and satellite image analyst 3 years from 1996. She has been a research associate at NMSC (National Meteorological Satellite Center) KMA (Korea Meteorological Administration) since 2006. She is currently working as a meteorological satellite image trainer and analyzer of COMS (Communication Ocean Meteorological Satellite) image for KMA's weather forecaster in NMSC. Presently, she is trying to develop Conceptual Models which are applicated in East Asia after training SATREP in ZAMG.

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Vesa Nietosvaara has worked as an operational weather forecaster for twenty years in 1988-2008. Since 1998 Vesa has been working within several training projects and created learning resources for operational meteorologists. Particularly, he is interested in satellite image interpretation and conceptual models for weather diagnosis. Most of his career Vesa has done at the Finnish Meteorological Institute, but since 2012 he works as a Training Officer at EUMETSAT. He assists the EUMeTrain monthly weather briefing team and regularly participates or lead the European online weather briefings (ePort weather briefings).
Larisa (Lara) Nikitina has been working as aviation weather forecaster in Rostov aviation center (Rostov-on-Don, south Russia) since 1985 after training as a weather forecaster in Russian State Hydrometeorological University (RSHU). And since 2010 she became the weather forecaster for Sochi 2014 Winter Olympics. Her special interests are the satellite meteorology applications for nowcasting and distance learning.

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Diamantino Henriques, received his degree in Atmospheric Physics at the University of Aveiro (1986) and his MS in Meteorology from the University of Lisboa (1996). From 1987 to 2003 he worked in Lisbon as meteorologist on atmospheric ozone and UV radiation issues. He has represented Portugal on several international meetings related with atmospheric composition and has participated in several projects and programs related with atmospheric ozone (GAW), atmospheric pollutants transport (EMEP) and UV radiation (EDUCE). In 2003 he moves to the Azores and worked at Ponta Delgada Airport as a senior meteorologist and forecaster. Later in 2008 he was nominated Head of the Regional Delegation of the Portuguese Institute of Meteorology (IM) in the Azores. Currently, he is the Head of the Azores Regional Delegation of the Portuguese Sea and Atmosphere Institute (IPMA, former IM) that includes the weather forecast service for the Azores.

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Bodo Zeschke received his BS in Physics at the University of New South Wales and MS in Meteorology at Monash University (2001). From 2001 to 2009 he worked as a forecaster at the Darwin Regional Forecasting Centre. During this time Bodo developed an interest in fog and low cloud nowcasting and forecasting for northern Australian regions. Since 2009 he has been engaged as a Lecturer to Australian and International postgraduate students studying for the Diploma of Meteorology at the Bureau of Meteorology Training Centre. Bodo has lectured in Tropical Meteorology, Satellite Meteorology and Weather Discussion training. Duties also include presenting lectures on related topics at World Meteorology Organisation courses and at the Bureau's annual Advanced Forecaster Workshop. He is the point of contact for the Australian VLab Centre of Excellence. Present topic of interest includes the integration of the satellite multichannel RGB products generated from MODIS imagery into Bureau forecast and training resources. This in preparation for the effective use of RGB products generated by the future Himawari 8 satellite.

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Trained at Queen's University as a nuclear physicist, "Phil the Forecaster" has been a professional meteorologist since 1976. Officially retired in 2011 Phil still continues to advance his research efforts with COMET and the Meteorological Service of Canada (MSC). Satellite and radar meteorology are his forte. Much of this research has been published by COMET under the Satellite Palette banner. Phil has also completed original and extensive research on performance measurement. This large body of work resides in the Case Studies section of Northern Latitude Meteorology (NorLatMet/COMET). Aside from the above Phil has been painting en plein air forever - Philtheforecaster.blogspot.com - art and science are indeed similar endeavours. A sense of humour bundles all of this together and makes learning and teaching fun.

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Croatian Adriatic coast is one of the rainiest areas in Europe. Large parts of the coast are not covered by the Croatian Radar network. The Croatian Weather Service (DHMZ) uses data from the NWC-SAF precipitation products to complement Radar data. Results from a validation campaign, using Radar and rain gauge data, will be shown in this presentation.

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The Rapidly Developing Thunderstorm product provides in object-mode information about significant convective systems. Various attributes describe the convective system: cloud-top temperature and height, overshooting tops, morphological attributes. The product uses the satellite brightness temperature of various channels and optional data like NWP data, lightning data and other NWCSAF products. A nowcast of convective systems is developed for 2016.
A new NWCSAF product (Convection Initiation – the probability of a cloudy pixel to become a thunderstorm) will be developed for 2016.

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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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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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