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(5 citation statements)
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“…With a similar retrieval algorithm (Wentz 1993), different numbers for the standard deviation have been used, such as 1.6 m s −1 for SSW by Boutin and Etcheto (1996), 1 kg m −2 for V by Hou et al (2000), and about 4-5 kg m −2 for V by Deblonde (1999). In the present work, the standard deviations for SSW and V are assigned as 2.5 m s −1 and 2 kg m −2 respectively.…”
Section: Observational Operator-and Error-variances (A) Ssm/i Radiatimentioning
confidence: 99%
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“…With a similar retrieval algorithm (Wentz 1993), different numbers for the standard deviation have been used, such as 1.6 m s −1 for SSW by Boutin and Etcheto (1996), 1 kg m −2 for V by Hou et al (2000), and about 4-5 kg m −2 for V by Deblonde (1999). In the present work, the standard deviations for SSW and V are assigned as 2.5 m s −1 and 2 kg m −2 respectively.…”
Section: Observational Operator-and Error-variances (A) Ssm/i Radiatimentioning
confidence: 99%
“…Advanced data-assimilation techniques based on one-dimensional (1D-Var) (Phalippou 1996;Gérard and Saunders 1999;Joiner and Rokke 2000), three-dimensional (3D-Var) (Deblonde 1999;Hou et al 2000;Fillion 2002;MacDonald et al 2002), or four-dimensional variational algorithms (4D-Var) (Gerard and Saunders 1999;Xiao et al 2000;Pu and Braun 2001;Zupanski et al 2002) have been used to assimilate different types of data, such as those from the TIROS Operational Vertical Sounder (TOVS) (Joiner and Rokke 2000), from the Global Positioning System (MacDonald et al 2002) as well as precipitation data (Fillion 2002) and SSM/I data. Variational assimilation is able to deal with indirect measurements and therefore avoids the need to estimate the retrieval's error and its correlation with the background error of the dataassimilation system.…”
Section: Introductionmentioning
confidence: 99%
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