Long-term observation (LTO)

The AWI is in a unique position in that its scientists jointly generate a particularly large set of time series, in the Arctic, Antarctic as well as the North Sea. These data are used in the context of AWI research programmes, but also in a range of external projects and collaborations. Ecological, physical and chemical time series are an essential tool for the study of climate-related topics. They can document long-term changes in the environment and also serve as background data for experimental studies. The main goals are the quality-controlled collection, archival and analysis of the different parameters. Cruicially AWI-LTO combines these extensive data holdings with IT and modelling approaches, thus supporting the whole data life cycle from collection to publication.

Collectively and individually our time series deliver vital baseline data for the evaluation of future climate change related impacts on marine ecosystems but also help to understand fundamental ecosystem processes in often not easily accesible geographic areas. All our time series are well connected and networked in a large number of international projects and initiatives including   ICES, SCOR, OSPAR and LTER.

Helgoland has a long tradition in ecological time series research and the scientists of the Biological Station Helgoland produce a number of extremely valuable time series that have been used for scientific research by scientists around the world. The core time series are known as Helgoland Roads and comprise phytoplankton and zooplankton as well as physico-chemical parameters.

Helgoland Roads forms an important component of the overall pool of the AWIs time series which comprises 30 individual time series resourcees ranging from physical and chemical time series via periglacial to a range of biodiversity data sets (see LTO@AWI)

Marine Data

The Marine Data Portal is the single-entry point to near real-time data, platforms, expeditions and data visualisation of the German marine research vessels, infrastructures and beyond. Explore the large collection of sensors and our interactive maps. Create your own dashboard to explore the real-time data flow and analyse your data in the workspace.