MAGIC

Metrics and Access to Global Indices for Climate Projections

Metrics and Access to Global Indices for Climate Projections

Global Climate Models are a vital source of information on Climate Change. However, gaining insight from the vast amount of data available is problematic. Data is spread out across the world, and with the data sizes in the Petabyte range and increasing, downloading climate model data is quickly becoming infeasible, let alone doing analysis of this data.

Copernicus Climate Change Service

The Copernicus Climate Change Service is still in the development phase and will combine observations of the climate system with the latest science to develop authoritative, quality-assured information about the past, current and future states of the climate in Europe and worldwide. ECMWF operates the Copernicus Climate Change Service on behalf of the European Union and will bring together expertise from across Europe to deliver the service.

The MAGIC project

Within the Copernicus Climate Change Service, the MAGIC project is developing solutions that will help users assess Global Climate Models projections using well-established metrics and manipulation tools and receive outputs tailored to their needs. In particular, the project aims to provide products that address the needs of the coastal, water, insurance and energy sectors.

The system will allow users to access, visualize and manipulate the large data sets that are produced by climate models without having to download them to their own machine. It will combine software that have been developed by partners, either individually or within earlier European projects, into one single system. The software will contain modules to calculate standardized metrics and indices for each model, so that the models’ performance can be assessed quickly.

Users’ benefits are

  • no need to download and store large data sets
  • data access from anywhere
  • easily performing the same analysis for several datasets
  • automatically generated metrics for indicating data sets’ quality
  • logged commands to make work reproducible
  • pre-defined functionalities for reducing programming work-load
  • easier usability of climate model data by tailored tools for specific sectors (insurance, water, energy, coastal)

The MAGIC project is funded by the Copernicus European Union Programme. The lead contractor is the Royal Netherlands Meteorological Institute (KNMI). The eScience Center is in change of the technical work done in the project.

Technical Lead Data Management & Analytics Dr. Willem van Hage

Willem´s main research topics in the past 10 years are semantics, augmented sense making, visual analytics, information integration, and text mining.

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eScience Research Engineer Dr. Niels Drost

Niels works on the water management project as well as general eScience infrastructure. Niels is also part-time guest researcher at the Leiden Observatory, where he applies distributed computing techniques to the AMUSE computational astronomy simulation framework.

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eScience Research Engineer Bouwe Andela, MSc

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eScience Research Engineer Faruk Diblen, MSc

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