685 to 696 of 13834 results
The Last Interglacial (LIG) period, approximately 130 000 to 115 000 years ago, represents one of the warmest intervals of the past 800 000 years. Here, we simulate water isotopes in precipitation over […]
Precessional forcing is a key driver of quaternary climate change. Based on 24 experiments covering a full precession cycle, this study explores spatio-temporal variations of both climate and isotope signals […]
Annual variation in prey availability can influence seabird diets and hence their exposure to pollutants, including mercury (Hg). Among seabirds, those species that scavenge carrion of marine mammals and other […]
The fate of the West Antarctic Ice Sheet (WAIS) is the largest cause of uncertainty in long-term sea-level projections. In the last interglacial (LIG) around 125,000 years ago, data suggest […]
Cosmogenic nuclide exposure dating is an important technique for reconstructing glacial histories. Many of the most commonly applied cosmogenic nuclides are extracted from the mineral quartz, meaning sampling of felsic […]
Biomass is a key parameter in ecology, as it provides insight into ecosystem functioning. Length-mass estimations are widely used for this purpose due to the relatively simple and straightforward procedures […]
Invertebrates are ubiquitous. Diverse in form and function, they play crucial roles in ecosystems: for example as food for other organisms, as pollinators, and as decomposers. Invertebrate species vastly outnumber […]
The West Antarctic Ice Sheet (WAIS) is losing ice and its annual contribution to sea level is increasing. The future behaviour of WAIS will impact societies worldwide, yet deep uncertainty […]
Antarctica is one of Earth’s most untouched, inhospitable, and poorly known regions. Although knowledge of its biodiversity has increased over recent decades, a diverse, wide-ranging, and spatially explicit compilation of […]
In order to reduce the uncertainty of aerosol radiative forcing in global climate models, we need to better understand natural aerosol sources which are important to constrain the current and […]
Machine learning models have been used extensively in hydrology, but issues persist with regard to their transparency, and there is currently no identifiable best practice for forcing variables in streamflow […]
Machine learning (ML) techniques have emerged as a powerful tool for predicting weather and climate systems. However, much of the progress to date focuses on predicting the short-term evolution of […]