Continuous data assimilation for global numerical weather prediction

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Continuous data assimilation for global numerical weather prediction

Year of publication

2021

Authors

Lean, P.; Holm, E. V.; Bonavita, M.; Bormann, N.; McNally, A. P.; Järvinen, Heikki

Organizations and authors

University of Helsinki

Järvinen Heikki

Publication type

Publication format

Article

Parent publication type

Journal

Article type

Original article

Audience

Scientific

Peer-reviewed

Peer-Reviewed

MINEDU's publication type classification code

A1 Journal article (refereed), original research

Publication channel information

Journal

Quarterly Journal of the Royal Meteorological Society

Parent publication name

Quarterly Journal of the Royal Meteorological Society

Volume

147

Issue

734

Pages

273-288

ISSN

0035-9009

​Publication forum

65858

​Publication forum level

2

Open access

Open access in the publisher’s service

No

Open access of publication channel

Partially open publication channel

Self-archived

Yes

Other information

Fields of science

Physical sciences

Keywords

4D-Var; continuous data assimilation; Data assimilation; OPERATIONAL IMPLEMENTATION; operational numerical weather prediction; VARIATIONAL ASSIMILATION

Publication country

United Kingdom

Internationality of the publisher

International

Language

English

International co-publication

Yes

Co-publication with a company

No

DOI

10.1002/qj.3917

The publication is included in the Ministry of Education and Culture’s Publication data collection

Yes
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