Kristian Förster (@kristianfoerster)
github

kristianfoerster

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  • Stars
    star
    41
  • Global Rank 390,985 (Top 14 %)
  • Followers 19
  • Following 1
  • Registered over 8 years ago
  • Most used languages
    Jupyter Notebook
         50.0 %
    Python
         50.0 %
  • Location 🇩🇪 Germany
  • Country Total Rank 18,620
  • Country Ranking
    Python
         3,202
    Jupyter Notebook
         3,565

Top repositories

1

melodist

MELODIST is an open-source toolbox written in Python for disaggregating daily meteorological time series to hourly time steps. It is licensed under GPLv3 (see license file). The software framework consists of disaggregation functions for each variable including temperature, humidity, precipitation, shortwave radiation, and wind speed. These functions can simply be called from a station object, which includes all relevant information about site characteristics. The data management of time series is handled using data frame objects as defined in the pandas package. In this way, input and output data can be easily prepared and processed. For instance, the pandas package is data i/o capable and includes functions to plot time series using the matplotlib library.
Python
34
star
2

aware

The Alpine Water balance And Runoff Estimation model (AWARE)
Python
4
star
3

greenroof

A GreenRoof class inherited from CMF (Catchment Modelling Framework), representing a physically based flow model (Darcy and Richards flow as well as diffusive wave routing for surface runoff).
Jupyter Notebook
1
star
4

time-area-jupyter

A Jupyter notebook that demonstrates the theroy of the time-area diagram and the unit hydrograph
Jupyter Notebook
1
star