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Calving-driven fjord dynamics resolved by seafloor fibre sensing
No full textInteractions between melting ice and a warming ocean drive the present-day retreat of tidewater glaciers of Greenland 1–3 , with consequences for both sea level rise 4 and the global climate system 5 . Controlling glacier frontal ablation, these ice–ocean interactions involve chains of small-scale processes that link glacier calving—the detachment of icebergs 6 —and submarine melt to the broader fjord dynamics 7,8 . However, understanding these processes remains limited, in large part due to the challenge of making targeted observations in hazardous environments near calving fronts with sufficient temporal and spatial resolution 9 . Here we show that iceberg calving can act as a submarine melt amplifier through excitation of transient internal waves. Our observations are based on front-proximal submarine fibre sensing of the iceberg calving process chain. In this chain, calving initiates with persistent ice fracturing that coalesces into iceberg detachment, which in turn excites local tsunamis, internal gravity waves and transient currents at the ice front before the icebergs eventually decay into fragments. Our observations show previously unknown pathways in which tidewater glaciers interact with a warming ocean and help close the ice front ablation budget, which current models struggle to do 10 . These insights provide new process-scale understanding pertinent to retreating tidewater glaciers around the globe
Marine Sediment Trace Elements Record Past Hydrothermal Events in the Christiana-Santorini-Kolumbo (CSK) volcanic field, Greece
No full textVolcanism along the Hellenic volcanic Arc has continued for 4.7 Ma and left an extensive marine sediment record of past eruptions. All the volcanic centres of the present-day arc have active hydrothermal systems, discharging metal(loid)-rich fluids into the marine environment. However, the history and evolution of these hydrothermal systems, and their relationships to episodes of volcanic activity remain unresolved. To better understand the relationship between volcanic eruptions and the activity of hydrothermal fields in the Christiana-Santorini-Kolumbo (CSK) volcanic field, we conducted lithological and chemical analysis of samples from sub-seafloor sediment drill-cores that were collected during International Ocean Discovery Program (IODP) Expedition 398 in 2023. Samples from three holes within Santorini’s caldera (at one site U1595), and one hole (U1599C) that penetrated deep within the volcano-sedimentary fill of the Anafi Basin, were selected to obtain a record of hydrothermal and related volcanic activity, since the last caldera-forming eruption ca.1650 BCE, and earlier than 2.7 Ma, respectively. We present preliminary results for down-core concentrations of elements that are enriched in hydrothermal fluids[1]. In Santorini, Hg, As, Sb, Mo and Mn show enrichment factors (EFs) between 10 and 200, within a key horizon identified between 55 and 60 mbsf; this is consistent with intense hydrothermal activity preceding the large 726 CE Kameni eruption[2]. Elements highly enriched within a deep key horizon identified between 563 and 594 mbsf in Anafi, are Co, Sb, Cu, V and As with EF between 6 and 96, identified as a pre-2.7 Ma pumice-hosted hydrothermal field, which potentially records early submarine eruptive history of the CSK and coeval hydrothermal activity. We draw comparisons with the present-day hydrothermal fields on the caldera floor and Kolumbo active hydrothermal field and pumiceous host. The differences in the degree of hydrothermal metal(loid) enrichment in Santorini and Anafi, are crucial to detect in metalliferous sediments from proximal and distal areas of hydrothermal discharge zones; contributing to the development of exploration tools for metal(loid)-enriched hydrothermal fields, and give insight into pre-eruptive conditions for the CSK. [1] German et al. (1999) Chemical Geology, 155 (1), 65–75.[2] Preine et al. (2024) Nature Geoscience, 17, 323-331
Can offshore groundwater flow within shelf sediments generate fluid deformation structures?
No full textThe future Barents Sea — A synthesis of physical, biogeochemical, and ecological changes toward 2050 and 2100
No full textThe Barents Sea is a hotspot for ongoing Arctic climate change, manifested in a rapid warming of the ocean and the atmosphere and a strong decline of the winter sea-ice cover. These changes in the physical environment have large consequences for marine ecosystems, including commercial fish populations. In a warmer future climate, both physical and ecological changes are expected to intensify. Here, we provide a first comprehensive overview of future climate change projections for the Barents Sea, and the associated physical, biogeochemical, and ecological consequences based on climate models and end-to-end ecosystem models. We also discuss potential future changes in human activities and their impacts, including changes in shipping activity and contaminants. We analyze results for two time horizons-the near-future (2040-2050) and the far-future (2090-2100)-and for two different emission scenarios: one with moderate future greenhouse gas emissions (SSP2-4.5) and one high-emission scenario (SSP5-8.5). The projections show that the future Barents Sea will be warmer, less ice-covered, more acidic, and more productive, with fish populations and spawning sites moving northward. There are small differences in multi-model mean physical and biogeochemical projections between the two emission scenarios by 2050, while large scenario differences emerge toward the end of the century. The implications of these results are far-reaching, including identifying the sensitivity of ecosystem change to future emissions, informing regional management strategies, and potentially identifying needs for adaptation to changes already likely to occur
Cruise Report R/V Littorina, Cruise No. L25-03 - Geophysical exploration of submarine stone age structures in Denmark
No full textDates of Cruise: 26.02.2025 – 02.03.2025
Areas of Research: Marine Geophysics, Geology, Archaeology
Port Calls: Kiel – Sonderborg (DK) – Kiel
Institutes: Institute of Geoscience (CAU), Institute for Baltic Sea Research Warnemünde (IOW), Geological Survey Denmark and Greenland (GEUS), Research Vessel Services (RVS), Nautik Nord GmbH
Chief Scientist: Dr. Jens Schneider von Deimling
Number of Scientists: 5
Projects: SEASCAP
CDRmare Data Management Plan Template revised edition
No full textThe corporate CDRmare Data Management Plan (DMP) template is used in each consortium of the Research Mission CDRmare. It will provide a transparent overview of planned and gathered (meta-)data of each consortium including details of responsible persons, planned due dates, and repositories for archiving. The DMP template is adapted in content for each consortium and will be updated regularly. It will facilitate data sharing within the CDRmare community and will show both the planned and actual progress of the research during the mission period
CDRmare Research Data Management – Data Publication and Data Visualisation
No full textData in CDRmare: planning, capture & documentation, publication, external visibilit
Advances in AI-based strategies and tools to facilitate natural product and drug development
No full textNatural products and their derivatives have been important for treating diseases in humans, animals, and plants. However, discovering new structures from natural sources is still challenging. In recent years, artificial intelligence (AI) has greatly aided the discovery and development of natural products and drugs. AI facilitates to: connect genetic data to chemical structures or vice-versa, repurpose known natural products, predict metabolic pathways, and design and optimize metabolites biosynthesis. More recently, the emergence and improvement in neural networks such as deep learning and ensemble automated web based bioinformatics platforms have sped up the discovery process. Meanwhile, AI also improves the identification and structure elucidation of unknown compounds from raw data like mass spectrometry and nuclear magnetic resonance. This article reviews these AI-driven methods and tools, highlighting their practical applications and guide for efficient natural product discovery and drug development