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Linearity aspects o...
Linearity aspects of the ensemble of data assimilations technique
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- Megner, Linda (author)
- Stockholms universitet,Meteorologiska institutionen (MISU)
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Tan, D. G. H. (author)
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Kornich, H. (author)
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Isaksen, L. (author)
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Horanyi, A. (author)
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Stoffelen, A. (author)
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Marseille, G. -J (author)
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(creator_code:org_t)
- 2014-06-19
- 2015
- English.
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In: Quarterly Journal of the Royal Meteorological Society. - : Wiley. - 0035-9009 .- 1477-870X. ; 141:687, s. 426-432
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
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- 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.
Subject headings
- NATURVETENSKAP -- Geovetenskap och miljövetenskap -- Meteorologi och atmosfärforskning (hsv//swe)
- NATURAL SCIENCES -- Earth and Related Environmental Sciences -- Meteorology and Atmospheric Sciences (hsv//eng)
Keyword
- data assimilation
- impact assessment
- ensemble
- EDA technique
Publication and Content Type
- ref (subject category)
- art (subject category)
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