Improving Arctic Weather and Seasonal Climate Prediction: Recommendations for Future Forecast Systems Evolution from the European Project APPLICATE

Ortega, Pablo;Blockley, Edward W.;Køltzow, Morten;Massonnet, François;Jung, Thomas;et.al.
(2022) Bulletin of the American Meteorological Society — Vol. 103, n° 10, p. E2203-E2213 (2022)

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Authors
  • Ortega, PabloBarcelona Supercomputing Center, Barcelona, Spain
    Author
  • Blockley, Edward W.Met Office, Exeter, United Kingdom
    Author
  • Køltzow, MortenNorwegian Meteorological Institute, Oslo, Norway
    Author
  • Author
  • Author
  • Gupta, MukeshUCLouvain
    Author
  • Ponsoni, Leandroorcid-logoUCLouvain
    Author
  • Sterlin, JeanUCLouvain
    Author
  • Jung, ThomasAlfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, and Department of Physics and Electrical Engineering, University of Bremen, Bremen, Germany
    Author
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Abstract
The Arctic environment is changing, increasing the vulnerability of local communities and ecosystems, and impacting its socio-economic landscape. In this context, weather and climate prediction systems can be powerful tools to support strategic planning and decision-making at different time horizons. This article presents several success stories from the H2020 project APPLICATE on how to advance Arctic weather and seasonal climate prediction, synthesizing the key lessons learned throughout the project and p roviding recommendations for future model and forecast system development.
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Citations

Ortega, P., Blockley, E. W., Køltzow, M., Massonnet, F., Sandu, I., Svensson, G., Acosta Navarro, J. C., Arduini, G., Batté, L., Bazile, E., Chevallier, M., Cruz-García, R., Day, J. J., Fichefet, T., Flocco, D., Gupta, M., Hartung, K., Hawkins, E., Hinrichs, C., et al. (2022). Improving Arctic Weather and Seasonal Climate Prediction: Recommendations for Future Forecast Systems Evolution from the European Project APPLICATE. Bulletin of the American Meteorological Society, 103(10), E2203-E2213. https://doi.org/10.1175/bams-d-22-0083.1 (Original work published 2022)