Environmental Sensing and Modeling

What it is about

You will learn measurement methods and instrumentation to capture atmospheric and solar parameters as well as to apply statistical evaluation and modeling procedures. In the end you will be able to evaluate different sensor principles, analyze datasets from real atmospheric measurements, and use modeling approaches for interpretation and inversion of measurement data.

What you will be able to do

• Understand and evaluate different sensor concepts
• Understand and evaluate different atmospheric modeling procedures
• Apply statistical data analysis methods to real atmospheric data
• Perform time- and frequency-domain analysis of atmospheric data
• Present results from your own analyses of real datasets

What the module consists of

• VorlesungFoundation on Earth, atmosphere, Sun and principles of sensorics and modeling
• ÜbungenApplication and deepening of data analysis and modeling methods
• ProjektarbeitAnalysis of real atmospheric data sets and development of own results
• PräsentationPresentation and discussion of project results

Teaching method

• VorlesungIntroduction to theory and concepts
• ÜbungenPractical application of statistical and numerical methods
• ProjektarbeitIndependent analysis of real data sets and transfer of learned content
• PräsentationCommunication and defense of one's own results