This course will provide insight into advanced methodologies in current environmental and atmospheric sciences. The emphasis will lie on numerical modeling (e. g, atmospheric chemical box models, climate models, land surface models, cloud models), statistical design, data analysis and evaluation (e.g. non-parametric statistics, time series analysis, principal component analysys) and introduction into major analytical instrumentation for advanced environmental (e.g., mass spectrometry, gas-chromatography) and atmospheric remote sensing (e.g., LIDAR, differential optical absorption spectrometer, DOAS, sun photometer). In addition, the students are familiarized with a number of in-situ airborne and ground based instruments designed to measure various properties of clouds and aerosols.
The students will also be introduced to modern satellite and air-borne remote sensing methodologies as well as to the use of autonomous observing platforms.
Moreover, the course will include introductions into techniques of independent scientific investigations from the planning to the publication and dissemination stage.
|Introduction to numerical modeling|
|Numerical methods in atmospheric chemistry and atmospheric physics|
|Basic concepts and methodologies of atmospheric and environmental observations|
|Introduction to autonomous observing platforms and their instrumentation|
|Elements of -and essential approaches to scientific investigations in Earth- and atmospheric sciences|