Environmental scientist working at the intersection of hydrology, climate data analysis, and environmental modeling.

In my current postdoctoral research, I work on the analysis and evaluation of large-scale climate and hydrological datasets, with a focus on uncertainty assessment, reproducible scientific workflows, and terrestrial water cycle dynamics.

Current research interests include hydroclimatic change, especially evapotranspiration, dataset comparison, and environmental data infrastructure for reproducible Earth system research.

Find me at EGU 2026 in Vienna, Thursday, 7 May 2026. Hall A, A.37. Poster here

Open to research, scientific software, and environmental data science opportunities in Germany, particularly in hydrology, climate analytics, environmental modeling, and reproducible scientific computing.

Here are some of my recent publications:

• "evapoRe: An R-based application for exploratory data analysis of evapotranspiration?, Published in Environmental Modelling & Software, 2026. Read here Package here
• "Which Precipitation Dataset to Choose for Hydrological Studies of the Terrestrial Water Cycle?, Published in Bulletin of the American Meteorological Society, 2025. Read here Code here Data can be obtained through pRecipe R package via the download_data() function
• "Unveiling the impact of potential evapotranspiration method selection on trends in hydrological cycle components across Europe", Published in Hydrology and Earth System Science, 2025. Read here Data and Code here
• "Spatial partitioning of terrestrial precipitation reveals varying dataset agreement across different environments" - Published in Communications Earth & Environment, 2024. Read here Code here Data here
• "Validating Coupled Flow Theory for Bare-Soil Evaporation Under Different Boundary Conditions" - Published in Vadose Zone Journal, 2023. Read here Lab data here

• Terrestrial Water Cycle Investigating agreement and disagreement of gridded data around the world. Check out project ITHACA code here and website here
• Soil Physics: Investigating complex processes from soil evaporation to preferential flow. 1234
• Data Analysis: Utilizing advanced statistical methods and data visualization techniques for meaningful insights into natural hazards. 56789
• Environmental Modeling: Using and developing numerical models to simulate and analyze coupled water and heat flow in soil. 1011

Want more? ORCID: 0000-0002-8796-2151

• Contact me: bloecher [at] fzp.czu.cz
• LinkedIn: Johanna R Thomson
• ResearchGate: Johanna R Thomson

Feel free to reach out if you're interested in collaborative research, discussions about soil physics, hydrology, or data analysis methodologies. 🌱🔬💧