Improving Arctic weather and seasonal climate prediction: recommendations for future forecast systems evolution from the European project APPLICATE
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...
| Autores: | , , , , , , , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2022 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/373606 |
| Acceso en línea: | https://hdl.handle.net/2117/373606 https://dx.doi.org/10.1175/BAMS-D-22-0083.1 |
| Access Level: | acceso abierto |
| Palabra clave: | Climatology -- Forecasting Climatology -- Mathematical models Arctic weather Weather prediction Climate prediction H2020 project APPLICATE Climatologia -- Previsió Climatologia -- Models matemàtics Àrees temàtiques de la UPC::Desenvolupament humà i sostenible::Enginyeria ambiental |
| Sumario: | 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. |
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