I am a hydrologist researcher and consultant with an interest in software, meteorology and GIS, and building open-source Python tools for working with environmental monitoring and 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.
Open to enquiries — rhkarls@proton.me
📍 Sweden/Norway | ✉️ rhkarls@proton.me | 🐙 github.com/rhkarls
Work Experience · Education · Publications · Technical Skills
I am a senior hydrologist with more than 10 years of experience in hydrological research and investigations. My academic research has focused on catchment hydrology and runoff processes, and on the importance of landscape composition for partitioning of water, water storage, and runoff dynamics. I work mainly with data analysis, geographical information systems (GIS), field measurements, and hydrological modelling. I have extensive experience with field measurement techniques and instrumentation for surface water, as well as the processing, quality control, and quality assurance of water level and discharge timeseries in particular, as well as other types of hydrometeorological data. I enjoy programming and make extensive use of Python for data management, pipelines, analysis, hydrological modelling, and general purpose programming. Apart from broad field experience within a Nordic setting, I have also worked in the Netherlands and Mexico.
[Read More]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:
