7 Works

Effects of climate change on extreme sea levels in the North Sea (ECCES): regionalized MPIOM-REMO climate ensemble

Bernhard Mayer, Moritz Mathis & Thomas Pohlmann
Project: Effects of climate change on extreme sea levels in the North Sea under realistic consideration of external surges and atmosphere-ocean feedback mechanisms - This project aims at an understanding of regional impacts of global climate change on extreme sea level heights in the North Sea. Based on model results of high-resolution climate projections for the 21st century, both driving mechanisms and leading variability modes of sea level extremes at the continental North Sea coast...

Perfluoroalkyl substances (PFAS) concentrations in artificial sea ice experiments conducted between 01-May-2017 to 01-Jun-2017

Jack Garnett, Crispin Halsall, Max Thomas, Odile Crabeck, James France, Hanna Joerss, Ralf Ebinghaus, Jan Kaiser, Amber Leeson & Peter Wynn
Perfluoroalkyl substances (PFAS) concentrations in artificial sea ice experiments at the Roland von Glasow Air-Sea-Ice Chamber (RvG-ASIC) at the University of East Anglia, UK. Experiments involved investigating chemical contaminant behaviours during sea ice formation and melt in order to assess possible exposure risk to sea ice biota. NERC ENVISION Doctoral Training Centre (NE/L002604/1). NERC and the German Federal Ministry of Education and Research (BMBF) funded Changing Arctic Ocean program EISPAC project (NE/R012857/1). British Antarctic Survey...

Perfluoroalkyl substances (PFAS) concentrations in the marine Arctic environment collected between 26-Aug-2019 to 28-Aug-2019

Jack Garnett, Crispin Halsall, Anna Vader, Hanna Joerss, Ralf Ebinghaus, Amber Leeson & Peter Wynn
Samples of snow, sea ice, seawater (0.5 m and 5 m depths) and meltponds were collected from two ice-covered stations located in the Barents Sea (81 N), during the "Nansen Legacy Q3" summer cruise of the Norwegian research vessel Kronprins Haakon on 26-28 August 2019. Perfluoroalkyl substances (PFAS) concentrations, salinity and stable oxygen isotopes were measured in all samples to determine sources and environmental fate of PFAS during late summer. NERC ENVISION Doctoral Training Centre...

Checklist to Support the Helmholtz Centers in Implementing Policies on Sustainable Research Software

Reinhard Messerschmidt, Heinz Pampel, Felix Bach, Wolfgang zu Castell, Michael Denker, Ants Finke, Bernadette Fritzsch, Martin Hammitzsch, Uwe Konrad, Yvonne Leifels, Christoph Möhl, Marco Nolden, Markus Scheinert, Tobias Schlauch, Thomas Schnicke & Dirk Steglich
As the digitalization of research and teaching progresses, the number of software solutions developed at scientific institutions and used for the purpose of knowledge production is increasing. The accessibility and reuse of scientific results called for under the heading “open science” can be ensured in many fields only if, in addition to research data, program code is also made openly accessible. The present guide is addressed to decision-makers at the Helmholtz Centers who deal with...

Multivariate trait analysis reveals diatom plasticity constrained to a reduced set of biological axes

Phoebe Argyle, Nathan G. Walworth, Jana Hinners, Sinéad Collins, Naomi M. Levine & Martina A. Doblin
Trait-based approaches to phytoplankton ecology have gained traction in recent decades as phenotypic traits are incorporated into ecological and biogeochemical models. Here, we use high-throughput phenotyping to explore both intra- and interspecific constraints on trait combinations that are expressed in the cosmopolitan marine diatom genus Thalassiosira. We demonstrate that within Thalassiosira, phenotypic diversity cannot be predicted from genotypic diversity, and moreover, plasticity can create highly divergent phenotypes that are incongruent with taxonomic grouping. Significantly, multivariate...

A high-throughput assay for quantifying phenotypic traits of microalgae

Phoebe Argyle, Jana Hinners, Nathan G. Walworth, Sinead Collins, Naomi M. Levine & Martina A. Doblin
High-throughput methods for phenotyping microalgae are in demand across a variety of research and commercial purposes. Many microalgae can be readily cultivated in multi-well plates for experimental studies which can reduce overall costs, while measuring traits from low volume samples can reduce handling. Here we develop a high-throughput quantitative phenotypic assay (QPA) that can be used to phenotype microalgae grown in multi-well plates. The QPA integrates 10 low-volume, relatively high-throughput trait measurements (growth rate, cell...

Towards identifying scale-dependent impacts on groundwater level dynamics with Deep Learning

Annika Nolte , Steffen Bender , Jens Hartmann & Stefan Baltruschat
Detailed process-understanding of climatic and non-climatic drivers is generally required to estimate future groundwater availability under climate change. Groundwater level (GWL) dynamics are very sensitive to groundwater pumping, but information on their local effects and magnitude – especially in combination with natural fluctuations – is often missing or inaccurate. It has been shown by previous studies that complex hydrogeological processes can be learned from neural networks, whereby Deep Learning (DL) demonstrates its strengths particularly in...

Registration Year

  • 2022

Resource Types

  • Dataset
  • Text


  • Helmholtz-Zentrum Hereon
  • University of Edinburgh
  • University of Technology Sydney
  • Helmholtz-Zentrum Geesthacht Centre for Materials and Coastal Research
  • University of Southern California
  • Lancaster University
  • Helmholtz Centre for Environmental Research
  • Universität Hamburg
  • Helmholtz-Zentrum Dresden-Rossendorf
  • University of East Anglia