The potential of numerical prediction systems to support the design of Arctic observing systems: Insights from the APPLICATE and YOPP projects

• Published in: Quarterly Journal of the Royal Meteorological Society
• Main Authors: Sandu, Irina, Massonnet, François, Van Achter, Guillian, Acosta Navarro, Juan Camilo, Arduini, Gabriele, Bauer, Peter, Blockley, Ed, Bormann, Niels, Chevallier, Matthieu, Day, Jonathan, Dahoui, Mohamed, Fichefet, Thierry, Flocco, Daniela, Jung, Thomas, Hawkins, Ed, Moreno Chamarro, Eduardo, Ortega Montilla, Pablo
• Other Authors: Universitat Politècnica de Catalunya. Departament de Física, Barcelona Supercomputing Center
• Format: Article in Journal/Newspaper
• Language: English
• Published: 2021
• Subjects: Àrees temàtiques de la UPC::Matemàtiques i estadística::Anàlisi numèrica; Àrees temàtiques de la UPC::Desenvolupament humà i sostenible::Degradació ambiental::Canvi climàtic; Numerical weather forecasting; Climatic changes; Arctic; Climate prediction; Data assimilation; In situ measurements; Numerical modelling; Observing system design; Satellite information; Weather forecasting; Previsió del temps; Canvis climàtics; Canada; Norway; Ortega; Moreno; Pablo; Navarro; Acosta; Alfred Wegener Institute; Climate change; Sea ice
• Online Access: http://hdl.handle.net/2117/357917; https://doi.org/10.1002/qj.4182

Numerical systems used for weather and climate predictions have substantially improved over past decades. We argue that despite a continued need for further addressing remaining limitations of their key components, numerical prediction systems have reached a sufficient level of maturity to examine a...