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Quarterly Journal of the Royal Meteorological Society
Article . 2004 . Peer-reviewed
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A probabilistic approach for SeaWinds data assimilation

Authors: Portabella, Marcos; Stoffelen, Ad;

A probabilistic approach for SeaWinds data assimilation

Abstract

AbstractScatterometer sea surface wind observations are being successfully assimilated into numerical weather prediction models. The quality of the winds retrieved from the new SeaWinds scatterometer (onboard the QuikSCAT satellite) depends on the subsatellite cross‐track location. In particular, the poor azimuth separation or diversity between views in the nadir region results in poor quality winds. In the QuikSCAT nadir region, where the local cost‐function minima are broad, the use of the standard procedure results in arbitrary and inaccurate winds. A new scheme, which accounts for broad cost‐function minima by allowing more ambiguous wind solutions, i.e. a multiple solution scheme (MSS), is proposed as an alternative to the standard procedure. The probability of every ambiguous solution being the ‘true’ wind is empirically derived, and used in the ambiguity‐removal procedure to make the scheme flexible enough to accept many wind solutions.A comparison between the standard wind retrieval and the MSS procedures at 100 km resolution is then performed, using independent model winds for validation. The MSS turns out to be more in agreement with the model reference than the standard procedure, especially at nadir. Moreover, it shows more spatially consistent and realistic winds by more effectively exploiting the information content of the observations. Copyright © 2004 Royal Meteorological Society

Country
Spain
Keywords

Wind inversion, Quality control, Scatterometer, Variational analysis

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
59
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23
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