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New paper led by ECN staff describes a climate service for ecologists through sharing regional climate scenario data

ECN's Sue Rennie has worked with European LTER colleagues to lead this new paper.

ECN has been a key contributor to the European LTER (eLTER) initiative for a number of years. eLTER’s focus is to advance the development of long-term ecosystem research infrastructure across Europe. A recently published paper led by ECN's Sue Rennie (UKCEH) describes how the eLTER Information System infrastructure has been expanded by a climate service data product, providing access to pre-processed regional climate change scenario data from a state-of-the-art regional climate model ensemble of the Coordinated Regional Downscaling Experiment (CORDEX).

These data are site-based and are available for 702 registered ecological research sites across Europe, including the UK’s ECN sites.

This is a valuable data resource which allows researchers to describe the climate at these sites, explore future projections for different climate change scenarios and make regional climate change assessments and impact studies.  It will provide a useful resource for ECN researchers, complementing the already comprehensive data resources collected at ECN sites.

Visualisations from the climate service product are available and the data can be freely downloaded.  This paper describes these data and how they can be accessed by users through the extended eLTER Information System architecture. The entry points for the data are either DEIMS-SDR site records (recommended; from a site record, expand the 'Additional data' section) or B2SHARE.

Further information

  • Reference: Rennie, S., Goergen, K., Wohner, C., Apweiler, S., Peterseil, J., and Watkins, J. (2021). A climate service for ecologists: sharing pre-processed EURO-CORDEX regional climate scenario data using the eLTER Information System, Earth Syst. Sci. Data, 13, 631–644. DOI: 10.5194/essd-13-631-2021
  • eLTER website
  • eLTER Information System (links to eLTER central data tools, through which data can be accessed)