Lehre
Offene studentische Arbeiten

Offene studentische Arbeiten

Die nachfolgenden studentischen Themen können als studentische Arbeit je nach Typisierung ausgegeben werden. Die Betreuer können direkt kontaktiert werden. Bei Interesse an anderen Themenbereichen einzelner Mitarbeiter des Instituts (siehe Internetseite) kann auch gezielt nach einem Thema in diesem Bereich gefragt werden.

These topics are potential student theses. The supervisor can be contacted on your own. If you are interested in another field of science of a staff member you can also ask if there is a possibility for a student thesis in that field.

  • Projekt-, Studien- und Seminararbeiten / Research Projects
    • Evaluating the impacts of changing climate by a process-based water balance model in the Devoll catchment (Albania)
      (Pesci, Maria Herminia)
    • Assessment of a multi-layer snow model to predict the catchment response in mountainous regions
      (Pesci, Maria Herminia)
    • Sensitivity of observed time series length on rainfall event characteristics
      (Pidoto, Ross)
    • The hydrological response of different internal structures of a stochastic rainfall model
      (Pidoto, Ross)
    • Regionalization of 2 hours rainfall extremes inside the Hannover Radar range
      (Shehu, Bora)
    • Investigate the effect of different radar correction techniques on radar based rainfall forecast
      (Shehu, Bora)
    • Sensitivity analysis of the urban model to different type of spatial distributed events, advection speed, initial conditions and coverage
      (Shehu, Bora)
    • Niederschlags-Abfluss Modellierung / Rainfall-Runoff Modelling 
      (Thiele, Luisa)
  • Bachelorarbeiten / Bachelor theses
    • Sensitivity of observed time series length on rainfall event characteristics
      (Pidoto, Ross)
    • Effect of model parameters on a daily K-NN based weather model
      (Pidoto, Ross)
    • Investigate the effect of different radar correction techniques on radar based rainfall forecast 
      (Shehu, Bora)
    • Sensitivity analysis of the urban model to different type of spatial distributed events, advection speed, initial conditions and coverage
      (Shehu, Bora)
  • Diplom- und Masterarbeiten / Master theses
    • Optimierung der Vorverarbeitung von Niederschlagsradardaten für die Extremwertanalyse / Optimization of rainfall radar data preprocessing for extreme value analysis
      (Goshtasbpour, Golbarg)
    • Zeitreiheanalyse der raum-zeitlichen Extremniederschläge / Timeseries analysis of space-time precipitation extremes
      (Goshtasbpour, Golbarg)
    • Comparison of performance efficiency of parameter optimization y two metaheuristic algorithms for a HYPE model 
      (Kasargodu Anebagilu, Prajna) (Student should be well versed with programming language MATLAB/python and should be able to work independently)
    • Parameter optimization using AMALGAM for a HYPE model 
      (Kasargodu Anebagilu, Prajna). (Student should be well versed with programming language MATLAB and should be able to work independently)
    • Development of a KNN model to improve the temporal rainfall properties of a stochastic precipitation model
      (Pidoto, Ross)
    • Applying spatial consistency to multi-site stochastic rainfall time series
      (Pidoto, Ross)
    • Effect of the internal structure of a stochastic rainfall model as to model performance
      (Pidoto, Ross)
    • Performance evaluation of different Copula structures for dependent rainfall event characteristics in a stochastic rainfall model
      (Pidoto, Ross)
    • Investigating the benefit of an optical flow correction algorithm of rainfall radar data 
      (Shehu, Bora)
    • Comparing different applications of quantile mapping based bias corrected radar data regarding urban hydrological modelling
      (Shehu, Bora)
    • Developing a fuzzy rule based model to classify rainfall events based on radar data
      (Shehu, Bora)
    • Investigate the effect of different radar correction techniques on radar based rainfall forecast 
      (Shehu, Bora)