Basic Data Assimilation Concepts
Workshop, 11 September 2016, Trieste
Roland Potthast, DWD (Research and Development, Head Division Data Assimilation),
Martin Weissmann, LMU Hans–Ertel–Centre for Weather Research, Head of Data Assimilation Branch
The workshop will provide an introduction to data assimilation concepts, methods and techniques for forecasters and meteorologists.
To calculate weather forecasts on short or longer temporal scales, measurement data need to be fused into a coherent estimate of the current state of the atmosphere. These techniques are also of growing importance for nowcasting, and they are an important ingredient for climate monitoring and to calibrate climate projections. When measurements are integrated into model states, we usually speak of data assimilation.
The workshop provides a basic introduction to the ideas, set-up, properties, techniques and results which are behind data assimilation and data fusion. Its goal is to enable forecasters and users to understand the role of measurements, the capabilities and limitations of assimilation, and to gain insight into the whole NWP system which consists of a data assimilation cycle and forecast runs. A particular focus will be placed on the determination of uncertainty and risk within the analysis and forecast, which is a key goal of modern ensemble data assimilation systems.
|09:30 – 10:15||Data assimilation – The big picture,
developing data assimilation from data streams to forecast visualization
|10:15 – 11:00||The ideas behind data assimilation
Simple examples to explain how it all works.
|11:00 – 11:15||Tea/coffee break|
|11:15 – 12:15||Global satellite data assimilation: infrared and microwave radiances
polar orbiting satellites, hyperspectral sounders, data features and IR/MW assimilation
|12:15 – 13:15||Lunch break|
|13:15 – 14:00||Convective scale ensemble data assimilation and ensemble prediction
presentation of the Kilometre–Scale Ensemble Data Assimilation System KENDA
|14:00 – 14:45||Radar data in data assimilation – from composites to 3D–volume–reflectivity
assimilation via latent heat nudging, radar–forward–operator, 3D–volume assimilation
|14:45 – 15:00||Tea/coffee|
|15:00 – 15:45||Impact estimation: data–to–analysis and data–to–forecast
In what way does a measurement influence the forecast? How do you find out? What does it tell you?
|15:45 – 16:30||Questions and answers discussion session – perspectives and applications|
|Target group:||Anyone interested in the basic concepts of data assimilation.|
|Min number of participants:||20|
|Max number of participants:||25|
The registration deadline will be 31 July 2016. Registration fees will include catering (coffee breaks and lunch), a copy of the course manual and use of the computer cluster to run the experiments.
Participation is by pre-registration only. The workshop may be cancelled in case of low registration numbers.
|Registration deadline:||31 July 2016|
|Registration fee:||Early bird registration (deadline 15 June 2016): €100|
|Standard registration (deadline 31 July 2016): €125|