Modul: Data Assimilation III (1201-540)

Dieses Modul wird nicht mehr angeboten!

Personen:

• Prof. Dr. Volker Wulfmeyer (verantwortlich)

Studiengang:

• Earth System Science (Master, PO vom 01.10.2013)
  3. Semester, Wahl
• Earth and Climate System Science (Master, PO vom 01.10.2017)
  3. Semester, Wahl

Bezug zu anderen Modulen:

Based on the two modules Measurement, Modelling, Data Assimilation I and II

Teilnahme­vorraussetzungen:

Measurement, Modelling and Data Assimilation I, Measurement, Model-ling and Data Assimilation II in parallel to this module, basic courses of the first semester

Sprache:

englisch

ECTS:

6 credits

Angebotshäufigkeit:

jedes WS

Dauer des Moduls:

1 Semester

Modulprüfung:

Written exam

Prüfungsdauer:

120 Minuten

Arbeitsaufwand:

56 h attendance + 124 h independent study = 180 h workload

Fachkompetenzen:

State-of-the-art numerical weather prediction is not possible without data assimilation. In this module, the students learn the theoretical framework on which all modern assimilation methods are based. With this, the knowledge about the different observations gained in earlier modules as Measuring, Modelling, Data Assimilation I or Remote Sensing is complemented by the methodology to combine them with state-of-the-art numerical models.
Furthermore, the different methods from the variational approach to Kalman filtering and nonlinear methods as the particle filter will be dis-cussed in detail together with their advantages and disadvantages, so that the students are capable to select the method best suited for their application in other areas of earth system research.

Schlüsselkompetenzen:

Due to the practical computer work additional competences are taught e.g. in programming, analysis and visualization of observations and model data.

Anmerkungen:

Maximum number of participants: 10

Lehrveranstaltungen