Event Calendar

 
Workshop

KCDS Workshop on Data Processing and Data Assimilation 2024

Thursday, 12 September 2024, 9:00
Campus South, building 20.30, room 0.014

During data assimilation, observations are optimally combined with a (numerical) model to obtain the best estimate of the system's state taking all observations into account. As observations are often noisy, incomplete and inconsistent, substantial observation pre-processing is required. In this session, we provide insight into various data pre-processing and visualization methods and introduce the concept of data assimilation using the example of numerical weather prediction. The practical exercises based on Jupyter notebooks will illustrate different methods for data processing and data assimilation.

 

The workshop will run from September 11 - 12 on-site at KIT Campus South in Karlsruhe and is open to (doctoral) researchers from KIT as well as other universities and research centers.

 

Find more information and apply to join the workshop

Costs/ Payment
Free
Speaker
Dr. Annika Oertel, Dr. Vandana Jha

KIT
IMKTRO/SCC
Organizer
Angela Hühnerfuß
KIT Graduate School Computational and Data Science (KCDS)
KIT-Center MathSEE
Karlsruhe
Mail: kcds does-not-exist.kit edu
https://www.kcds.kit.edu
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About KCDS

Concept of the graduate school KCDS
KIT Graduate School Computational and Data Science (KCDS) is a graduate school at KIT Center MathSEE that offers an interdisciplinary training program for doctoral researchers in the field of model-driven and data-driven computational science.
In this unique program, doctoral researchers will be able to conduct an interdisciplinary research project that revolves around computational methods such as mathematical models, simulation methods and data science techniques, all the while building bridges between mathematical sciences and an applied SEE discipline (science, economics and engineering).
Addressing global challenges, the school provides a wide variety of topics, from meteorological ensemble forecasting to machine learning in elementary particle physics.
At KCDS, doctoral researchers have one supervisor from the mathematical sciences and one from the applied discipline. They are part of a dynamic community and participate in the school’s interdisciplinary training program, including hands-on training in small groups, summer schools, networking events and hackathons/datathons.
Thinking simulations and data together, we are ready to conquer the data-driven challenges of tomorrow!

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