Improving Arctic weather and seasonal climate prediction: recommendations for future forecast systems evolution from the European project APPLICATE

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. ORCID: https://orcid.org/0000-0001-9477-3677, Hinrichs, C., Magnusson, L., Moreno-Chamarro, E., Pérez-Montero, S., Ponsoni, L., Semmler, T., Smith, D., Sterlin, J., Tjernström, M., Välisuo, I. and Jung, T. (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. ISSN 0003-0007 doi: 10.1175/BAMS-D-22-0083.1

Abstract/Summary

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 providing recommendations for future model and forecast system development.

Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/108520
Identification Number/DOI	10.1175/BAMS-D-22-0083.1
Refereed	Yes
Divisions	Science > School of Mathematical, Physical and Computational Sciences > NCAS Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
Publisher	American Meteorological Society
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