Course: Measurement, Modeling and Data Assimilation I, Lecture (1201-521)

Persons:

• Prof. Dr. Volker Wulfmeyer (verantwortlich)
• Dr. Thomas Schwitalla (begleitend)
• Priv. Doz. Dr. rer. nat. Hans-Dieter Wizemann (begleitend)
• Dr. Andreas Behrendt (begleitend)
• Dr. Hans-Stefan Bauer (begleitend)
• Dr. rer. nat. Ralph Gäbler (begleitend)

Type of Course:

lecture

In-Class Hours Per Week:

2

Contents:

The lecture introduces several observing systems ranging from meteorological in-situ sensors for the different variables, instruments applied in soil sciences and biology, eddy-covariance measurements as well as remote sensing techniques. Apart from the description of the instruments itself, methods to analyze the collected data are introduced.
Following the instrumental part, the meteorological workstation NinJo is introduced. It was developed to facilitate the work with huge data sets in operational meteorological forecasting. Then, the transfer to modeling is carried out with the introduction of data analysis techniques to convert point measurements to spatially resolved information.
The third part of the lecture introduces the basic concept of mod-eling. What models are available? How important are observa-tions for modeling? In which areas are models applied, what their performance is and what methods are applied to judge the model performance.

Location:

Hohenheim

Module:

• 1201-520 Measurement, Modeling and Data Assimilation I (compulsory)