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.
It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. To link to this item DOI: 10.1175/BAMS-D-22-0083.1 Abstract/SummaryThe 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.
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