The potential of numerical prediction systems to support the design of Arctic observing systems: Insights from the APPLICATE and YOPP projects-Reference-Cited by-同舟云学术

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

Published:2021-10 Issue:741 Volume:147 Page:3863-3877
ISSN:0035-9009
Container-title:Quarterly Journal of the Royal Meteorological Society
language:en
Short-container-title:QJR Meteorol Soc

Author:

Sandu Irina¹^ORCID,Massonnet François²^ORCID,Achter Guillian²,Acosta Navarro Juan C.³,Arduini Gabriele¹^ORCID,Bauer Peter¹,Blockley Ed⁴,Bormann Niels¹,Chevallier Matthieu⁵,Day Jonathan¹,Dahoui Mohamed¹,Fichefet Thierry²,Flocco Daniela⁶,Jung Thomas⁷,Hawkins Ed⁶,Laroche Stephane⁸^ORCID,Lawrence Heather¹⁴,Kristiansen Jørn⁹,Moreno‐Chamarro Eduardo³^ORCID,Ortega Pablo³,Poan Emmanuel⁸,Ponsoni Leandro²,Randriamampianina Roger⁹

Affiliation:

1. European Centre for Medium‐Range Weather Forecasts (ECMWF) Reading UK

2. Université Catholique de Louvain Brussels Belgium

3. Barcelona Supercomputing Centre Barcelona Spain

4. Met Office Exeter UK

5. Meteo‐France Toulouse France

6. University of Reading Reading UK

7. Alfred Wegener Institute Bremerhaven Germany

8. Environment and Climate Change Gatineau Quebec Canada

9. Met Norway Oslo Norway

Funder

European Commission