Publications by authors named "Eileen Kuhl"
Key Message: The machine learning algorithm extreme gradient boosting can be employed to address the issue of long data gaps in individual trees, without the need for additional tree-growth data or climatic variables.
Abstract: The susceptibility of dendrometer devices to technical failures often makes time-series analyses challenging. Resulting data gaps decrease sample size and complicate time-series comparison and integration.
Article Synopsis
- Europe has faced intense heat waves recently, which are expected to worsen due to climate change, highlighting the need to understand pre-industrial temperature variations.
- A study using 352 larch trees from the Swiss Alps developed a temperature chronology from 881 CE to provide context for modern warming trends.
- The research found historical climate patterns, including a warm tenth century, a cold Medieval period, and a significant drop in temperatures after the Samalas eruption in 1258 CE, while improving methodologies for calibrating tree growth data in climate studies.