In the frame of the 2020 SEEMET course, Andreas Wirth gave an overview talk on the conveyor belts theory.
Andreas Wirth shows the main differences between the classical Norwegian cyclone model and the Shapiro-Keyser cyclone model.
From 14 to 17 September 2020, EUMeTrain held an event week on IASI L2 profiles. IASI L2 product contains temperature and humidity profiles, which are available 30 minutes after sensing trough the IASI EARS Services from EUMETSAT.
From 14 to 18 December, 2020 EuMeTrain in collaboration with H SAF will organize an event week on precipitation. Precipitation is the most important variable in Earth’s hydrological budget, being the major component of the water cycle. For this reason, the better understanding of the spatial and temporal distribution of precipitation, and its quantification is fundamental for any hydrological and climatological application. H SAF products and applications fit with the objectives of services, agencies, authorities and other initiatives which need information on water at the ground in order to monitor hazards and natural disasters such as flash floods, landslides and drought conditions, as well as to improve water management.
The event week will be held using the Webex software and it will be open to everyone. The participants will only have to register themselves, so that they receive the links to access the sessions.
The agenda and the registrations will become available in the coming weeks.
From January 11 to February 22, 2021 EuMeTrain organizes an online course on Synoptic and Mesoscale System Analyses. This course will focus on improving forecaster skills by using the available satellite data in synoptic and mesoscale analysis. Examples and cases will mainly refer to European and near adjacent Atlantic regions. The participants will learn to use the satellite imagery in combination with other meteorological data sources in order to interpret mid-latitude cyclones, fronts, frontal sub-structures, mesoscale features in cold air, summer convection, orographic features and shallow clouds.