Delia Arias-Arnold presents the results of model simulations evaluated against satellite (GOME-2 and OMI) data, as well as ground based SO2 concentration data.
Nan Hao presents the impact of the East Asian Summer monsoon on the air quality over China.
Jose Prieto explains how to spot fires without burning your fingers.
Synoptic and Mesoscale Analysis of Satellite Images
The EUMeTrain - Eumetcal course on Synoptic and Mesoscale Analysis of
Meteorology is teaching you how to operationally parse a satellite image into
Analysing a satellite image in terms of conceptual models is the best way to learn to retrieve a 3D or even a 4D (with time being the fourth dimension) mental weather picture.The course is designed for operational forecasters and meets the requirements of the WMO. You can find some facts about the course and the link for registration below.
ESSL (European Severe Storms Laboratory) performs severe weather research and supports the research community by operating the European Severe Weather Database and (co-) organizing the European Conferences on Severe Storms. It is situated in Wiener Neustadt, Austria where an annually returning event ESSL Testbed is held. The aim of Testbed is to provides a facility to evaluate new forecasting tools, provides training to Europe's weather forecasters and to enhance severe weather forecasting across Europe.
In 2016, there will be 4 ESSL Testbed weeks
If you missed your chance to apply for any reason, you can still be a part of ESSL Testbed experience, since there are online briefings and lectures. A complete timetable with date, time and links can be found on the link below.
This course on satellite skills will enable meteorologists, but also other geoscientists, to better perform their everyday duties by utilizing the basic principles of remote-sensing of the Earth and the atmosphere. In that perspective this course is considered to be competency-based and primarily tailored for the weather forecasters and meteorologist, so they can fulfil their everyday duties easier and with more accuracy.
The course structure will be mostly asynchronous on a Moodle platform, meaning that the learners will be able to finish it in their own pace. The course will start on May 2 and will finish on 17 June 2016. On the basis of successful completion each learner will be granted with the course certificate.
Registration is closed!