I am a hydrologist researcher with an interest in software, meteorology and GIS, and building open-source Python tools for working with environmental data.
My projects focus on data access, visualization and modelling for hydrological and meteorological applications. Mostly in Python, with some Go on the side.
Find me on GitHub to see what I am working on.
Add any publications or reports here.
eplines repository | eplines on PyPI
A small visualization package producing empirical and exceedance probability/frequency heatmaps and cycle plots of many or long time-series.
Can for example be used to visualize exceedance frequency at different times of the year for streamflow time series — basically a flow-duration curve for each day of the year:
The above graph shows the cumulative frequency of streamflow for each day of the year: how often specified discharges were equaled or exceeded. Low flows are exceeded often (values close to 1, with 1 meaning exceeded 100% of the time). Extreme high flows occur less often and have lower exceedance frequency.
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