Change search
ReferencesLink to record
Permanent link

Direct link
Linearity aspects of the ensemble of data assimilations technique
Stockholm University, Faculty of Science, Department of Meteorology .
Show others and affiliations
2015 (English)In: Quarterly Journal of the Royal Meteorological Society, ISSN 0035-9009, E-ISSN 1477-870X, Vol. 141, no 687, 426-432 p.Article in journal (Refereed) Published
Abstract [en]

We examine the linearity of the Ensemble of Data Assimilations (EDA) technique with respect to the amplitude of the applied observation perturbations. We provide explicit examples to assess the linear relationship between such modifications of the observing system and the resulting changes in the EDA ensemble spread. The results demonstrate that, for a state-of-the-art numerical weather prediction (NWP) system, such linearity between the applied observation perturbations and the EDA ensemble spread holds well for temporal and spatial regimes relevant to global medium-range weather prediction: specifically, for forecast lead-times of up to approximately 5 days, in the vertical throughout the troposphere up to the lower and middle stratosphere and for broad horizontal scales.

Place, publisher, year, edition, pages
2015. Vol. 141, no 687, 426-432 p.
Keyword [en]
data assimilation, impact assessment, ensemble, EDA technique
National Category
Meteorology and Atmospheric Sciences
URN: urn:nbn:se:su:diva-117412DOI: 10.1002/qj.2362ISI: 000353413500007OAI: diva2:814248


Available from: 2015-05-26 Created: 2015-05-19 Last updated: 2015-05-26Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Megner, Linda
By organisation
Department of Meteorology
In the same journal
Quarterly Journal of the Royal Meteorological Society
Meteorology and Atmospheric Sciences

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 86 hits
ReferencesLink to record
Permanent link

Direct link