Floods are shaped by complex and nonlinear interactions between weather patterns, rainfall, soil properties, topography, land cover, and how wet a catchment already is. This complexity is one reason machine learning (ML) is increasingly used in hydrology. ML models can learn patterns from large and complex datasets with many variables. Early in my PhD, while exploring machine learning models for ...[Read More]
The journey to my first EGU General Assembly (GA) 2026 (EGU26) was memorable even before the conference began. What should have been a straightforward train ride to Vienna turned into an unexpected adventure when we were asked to get off at a small station and wait several hours for alternative transport. Surrounded by travellers, luggage, and a fair amount of confusion, it felt as though the EGU2 ...[Read More]
Working with marine carbonate-system observations has taught me how much effort lies behind every row of an oceanographic dataset: long hours at sea, careful sampling, laboratory analyses, calibration and quality control. A single bottle of seawater may represent only one place, one depth and one moment, but when many such samples are brought together, they can reveal how the ocean is changing. On ...[Read More]
Every time something burns incompletely —whether in a car engine, a factory furnace, a cooking fire, an agricultural field set alight after harvest, or a vast wildfire sweeping through savanna grasslands— tiny particles of black carbon are released into the atmosphere. You might know these more simply as soot. These particles are so small that thousands of them laid side by side would barely stret ...[Read More]
Introduction When people hear the word „volcano“, they usually think of a magmatic volcano with impressive pyroclastic eruptions or lava flows. However, mud volcanoes are different. Mud volcanoes erupt what we call mud breccias, a mixture of gas, water, and fine sediments. The eruptions generally occur due to deep generation of hydrocarbons and gravitational instability of rapidly buried, buoyant ...[Read More]
Iceland is pure geology. When I travelled there in 2015, it felt like stepping into another world: surreal, raw, and unforgettable. Geology wasn’t just something to observe or study: in Iceland, it’s something you inhabit. The landscape doesn’t just sit there, it feels alive. It hums, it shifts, it speaks. And whether you’re a geologist or not, you can’t help but listen. To make the experience eve ...[Read More]
If you have ever tried to draw a geological cross-section under a fantasy map, Homer is surprisingly cooperative (and if you remember my Middle-earth geology post, you already know I live for this). The Odyssey is full of real places and real people—Troy, Mycenae, Sparta—stitched together with storms, monsters and divine interventions that would make any structural geologist reach for a stress ten ...[Read More]
Berlin just went through a brutal heatwave, and then out of nowhere, the temperature crashed between June 28 and 29. The daily mean temperature dropped from nearly 33°C to 25°C—a dramatic drop of about 8°C in just 24 hours (based on ERA5 reanalysis data structure accessed via Open-Meteo). Scientists call these abrupt shifts temperature volatility: rapid transitions from unusually cold to warm cond ...[Read More]
Greenland’s ice sheet holds enough water to raise global sea levels by over 7 meters, but predicting how much it will actually shrink remains challenging due to the massive computational cost of traditional models. Our latest research introduces machine learning-based downscaling that generates high-resolution climate fields orders of magnitude faster than conventional regional climate model ...[Read More]
