Pinned Repositories
aware
The Alpine Water balance And Runoff Estimation model (AWARE)
beamerthemeLUH
An unofficial LaTeX Beamer theme that is trying to follow the Coprorate Design Guidelines of Leibniz Universität Hannover.
cmf
Catchment Modelling Framework, a hydrologic modelling toolbox
DWA-a102
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).
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.
swmmio
SWMMIO is a set of python tools for interacting with and visualizing results from EPA Stormwater Management Model input and output files (.inp and .rpt). These tools are being developed specifically for the application of flood risk management.
time-area-jupyter
A Jupyter notebook that demonstrates the theroy of the time-area diagram and the unit hydrograph
kristianfoerster's Repositories
kristianfoerster/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.
kristianfoerster/aware
The Alpine Water balance And Runoff Estimation model (AWARE)
kristianfoerster/time-area-jupyter
A Jupyter notebook that demonstrates the theroy of the time-area diagram and the unit hydrograph
kristianfoerster/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).
kristianfoerster/swmmio
SWMMIO is a set of python tools for interacting with and visualizing results from EPA Stormwater Management Model input and output files (.inp and .rpt). These tools are being developed specifically for the application of flood risk management.
kristianfoerster/beamerthemeLUH
An unofficial LaTeX Beamer theme that is trying to follow the Coprorate Design Guidelines of Leibniz Universität Hannover.
kristianfoerster/cmf
Catchment Modelling Framework, a hydrologic modelling toolbox
kristianfoerster/DWA-a102