A5060674410- Atmospheric and Environmental Gas Dynamics
- Geology and Paleoclimatology Research
- Photonic Crystals and Applications
- Machine Learning in Materials Science
- Marine and coastal ecosystems
- Archaeology and ancient environmental studies
- TiO2 Photocatalysis and Solar Cells
- Isotope Analysis in Ecology
- Optical Coatings and Gratings
- Data Management and Algorithms
- Data Visualization and Analytics
- Arctic and Antarctic ice dynamics
Kiel University
2023-2024
GEOMAR Helmholtz Centre for Ocean Research Kiel
2023-2024
GEOMAR Technologie GmbH - GTG
2023
Universität Hamburg
2013
Hamburg University of Technology
2013
Abstract. In the framework of a changing climate, it is useful to devise methods capable effectively assessing and monitoring landscape air–sea CO2 fluxes. this study, we developed an integrated machine learning tool objectively classify track marine carbon biomes under seasonally interannually environmental conditions. The was applied monthly output global ocean biogeochemistry model at 0.25° resolution run atmospheric forcing for period 1958–2018. Carbon are defined as regions having...
A facile deposition method of 3D photonic crystals made yttrium-stabilized zirconia (YSZ) was developed. YSZ nanoparticles with primary particle size below 10 nm and cubic crystalline phase were synthesized by hydrothermal treatment solutions zirconyl nitrate, yttrium nitrate acetylacetone. Before coassembly polystyrene (PS) microspheres, a dispersant Dolapix CE64 added to the dialyzed sol render their surface negatively charged. Vertical convective resulted in ordered YSZ/PS hybrid films,...
Abstract. In the framework of a changing climate, it is useful to devise methods capable effectively assessing and monitoring landscape air-sea CO2 fluxes. this study, we developed an integrated machine learning tool objectively classify track marine carbon biomes under seasonally interannually environmental conditions. The was applied monthly output global ocean biogeochemistry model at 0.25° resolution run atmospheric forcing for period 1958–2018. Carbon are defined as regions having...
Our research focuses on the detection of ocean carbon uptake regimes that are critical in context comprehending climate change. One observation among geoscientific data Earth System Sciences is datasets often contain local and distinct statistical distributions posing a major challenge applying clustering algorithms for analysis. The use global parameters many inadequate to capture such distributions. In this study, we propose novel tool detect visualize oceanic clusters. We implement...
Our research focuses on detecting and tracking ocean carbon regimes, which are crucial indicators for understanding the impacts of climate change uptake. Geoscientific datasets in Earth System Sciences often contain local distinct statistical distributions at a regional scale. This poses significant challenge applying conventional clustering algorithms data analysis. Based observed limitations prominent methods, our study, we propose framework that enhances well-established unsupervised...