Arctic Data Centre

The Arctic Data Centre (ADC) is a WMO Data Collection and Production Centre hosted by the Norwegian Meteorological Institute. It is a legacy of the International Polar Year (IPY) when the Norwegian Meteorological Institute coordinated operational data streams internationally and research data nationally. The national data management for IPY was organised through a project, DOKIPY, funded by the Research Council of Norway. DOKIPY was a virtual data centre which integrated data collections at the Institute of Marine Research, the Norwegian Polar Institute and the Norwegian Meteorological Institute. The Norwegian Institue for Air Research was contributing to the coordination, but not to the virtual data centre.

IPY was the starting point for distributed data management within geosciences in Norway, and this effort has been followed by relevant efforts like the Norwegian Satellite Earth Observation Database for Marine and Polar Research (NORMAP) and the Norwegian Marine Data Centre (NMDC).

The involvement of the Norwegian Meteorological Institute in distributed data management efforts nationally and internationally is coordinated through ADC which is an internal project at the institute. This site is dedicated to project management for the projects belonging to the ADC "family". Currently this involves the projects listed below. Those involved in these projects can enter the collaboration rooms through the menu above.

AcronymFundingStartEndRole of METNO
NORMAPRCN20102016Partner
NMDCRCN20112017Partner
GeoAccessNORCN20152018Coordinator
NorDataNetRCN20152020Coordinator
NBSNRS2016NACoordinator
SIOS KCRCN20152018Partner
APPLICATEEU H20202016Partner
INTERACTEU H20202016Partner

In addition to the projects listed above, ADC is also supporting WMO GCW and YOPP data management activities. Through some of the projects listed above, also GEO Cold Regions Initiative is supported.

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Wednesday, September 20 2017

Wednesday, May 24 2017

Monday, May 15 2017

  • 7:43pm

    Introduction

    A dataset is a collection of data. In the context of ADC it is not important whether the dataset is stored in relational databases or as physical files. Typically a dataset represent a number of variables in time and space. In order to best serve the data through the web services developed the following guidance exist for datasets within ADC:

    1. A dataset can be a collection of variables stored in a relational database or flat files (e.g. NetCDF/CF).
    2. A dataset is defined as a number of spatial and/or temporal variables.
    3. A dataset should be defined by the information content and not the production method.

    Some examples

    For gridded data (e.g. numerical simulations or remote sensing products), FIXME

Thursday, May 11 2017

Monday, March 6 2017

Monday, February 20 2017

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