Data assimilation of stratospheric constituents: a review

Lahoz, W. A.; Errera, Quentin; Swinbank, Richard; Fonteyn, D.

doi:10.5194/acpd-7-9561-2007

Cited by 21 publications

(28 citation statements)

References 139 publications

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“…The results have focused on dynamical fields (wind, pressure, temperature and specific humidity), but lately models have been extended to include prediction (and hence assimilation) of chemical constituents, particularly ozone, which needs to be included in the B-matrix (Dethof and Hólm, 2004). Lahoz, Fonteyn and Swinbank (2007) review general issues of chemical data assimilation, including those related to forecast errors. There is also a body of work with respect to errors in oceanic forecasts for VAR (e.g.…”

Section: Discussionmentioning

confidence: 99%

A review of forecast error covariance statistics in atmospheric variational data assimilation. I: Characteristics and measurements of forecast error covariances

Bannister

2008

Quart J Royal Meteoro Soc

206

172

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This article reviews the characteristics of forecast error statistics in meteorological data assimilation from the substantial literature on this subject. It is shown how forecast error statistics appear in the data assimilation problem through the background error covariance matrix, B. The mathematical and physical properties of the covariances are surveyed in relation to a number of leading systems that are in use for operational weather forecasting. Different studies emphasize different aspects of B, and the known ways that B can impact the assimilation are brought together. Treating B practically in data assimilation is problematic. One such problem is in the numerical measurement of B, and five calibration methods are reviewed, including analysis of innovations, analysis of forecast differences and ensemble methods. Another problem is the prohibitive size of B. This needs special treatment in data assimilation, and is covered in a companion article (Part II). Examples are drawn from the literature that show the univariate and multivariate structure of the B-matrix, in terms of variances and correlations, which are interpreted in terms of the properties of the atmosphere. The need for an accurate quantification of forecast error statistics is emphasized.

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Section: Discussionmentioning

confidence: 99%

A review of forecast error covariance statistics in atmospheric variational data assimilation. I: Characteristics and measurements of forecast error covariances

Bannister

2008

Quart J Royal Meteoro Soc

206

172

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“…Although constituent data assimilation is less mature than assimilation in the NWP community, there has been substantial progress over the last 15 years, with the field evolving from initial efforts to test the methodology to later efforts focusing on products for monitoring ozone and other constituents (e.g. Lahoz et al, 2007a). More recently, the production of ozone forecasts by a number of operational centres (e.g.…”

Section: Wg2: An Assimilated Ozone and Humidity Datasetmentioning

confidence: 99%

“…Another disadvantage is that GCMs are complex and generally expensive in terms of computer resources (e.g. Lahoz et al, 2007a).…”

Section: Assimilation Into a Nwp Model Based On A Gcmmentioning

confidence: 99%

“…Examples (not exhaustive) of this assimilation approach are provided by the Met Office/DARC (Jackson and Saunders, 2002;Struthers et al, 2002;Jackson, 2004Jackson, , 2007Lahoz et al, 2005Lahoz et al, , 2007aGeer et al, 2006aGeer et al, , 2006bGeer et al, , 2007 and ECMWF (Dethof, 2003;Dethof and Hólm, 2004).…”

Section: Assimilation Into a Nwp Model Based On A Gcmmentioning

confidence: 99%

“…Recent reviews of constituent data assimilation have been provided by Lary (1999), Khattatov (2003) and Rood (2005). Lahoz et al (2007b) provide an overview of data assimilation work performed as part of the ASSET project; Lahoz et al (2007a) provide a review of stratospheric constituent data assimilation which builds on the Rood review and describes recent results, including those achieved within the ASSET project.…”

Section: Wg2: An Assimilated Ozone and Humidity Datasetmentioning

confidence: 99%

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The COST 723 Action

Lahoz

Buehler

Legras

2007

Q.J.R. Meteorol. Soc.

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An overview is provided of the COST 723 Action, 'Data Exploitation and Modelling of the Upper Troposphere and Lower Stratosphere'. The three working groups are introduced and a summary of Action activities within them is provided. The achievements of the Action are: three international workshops; the LAUTLOS humidity measurement campaign; dedicated meetings to discuss the quality of upper troposphere/lower stratosphere ozone and humidity measurements; two journal special issues; more than 90 papers in the peer-reviewed literature; one international summer school; and a successor COST Action which builds on COST 723. The recommendations made are: for COST to continue to support the short-term scientific missions instrument, as they are perceived to be value for money; to encourage the use of COST money to increase links between COST Actions and other scientific communities; and for the COST secretariat to recommend that Actions consider a summer school instead of a final workshop or meeting.

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The global structure of upper troposphere‐lower stratosphere ozone in GEOS‐5: A multiyear assimilation of EOS Aura data

et al. 2015

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Eight years of ozone measurements retrieved from the Ozone Monitoring Instrument and the Microwave Limb Sounder, both on the EOS Aura satellite, have been assimilated into the Goddard Earth Observing System Version 5 (GEOS-5) data assimilation system. This study evaluates this assimilated product, highlighting its potential for science. The impact of observations on the GEOS-5 system is explored by examining the spatial distribution of the observation-minus-forecast statistics. Independent data are used for product validation. The correlation of the lower stratospheric (the tropopause to 50 hPa) ozone column with ozonesondes is 0.99 and the (high) bias is 0.5%, indicating the success of the assimilation in reproducing the ozone variability in that layer. The upper tropospheric (500 hPa to the tropopause) assimilated ozone column is about 10% lower than the ozonesonde column, but the correlation is still high (0.87). The assimilation is shown to realistically capture the sharp cross-tropopause gradient in ozone mixing ratio. Occurrence of transport-driven low ozone laminae in the assimilation system is similar to that obtained from the High Resolution Dynamics Limb Sounder (HIRDLS) above the 400 K potential temperature surface, but the assimilation produces fewer laminae than seen by HIRDLS below that surface. Although the assimilation produces about 25% fewer occurrences per day during the 3 years of HIRDLS data, the interannual variability is captured correctly. This data-driven assimilated product is complementary to ozone fields generated from chemistry and transport models. Applications include study of the radiative forcing by ozone and tracer transport near the tropopause.

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Data assimilation of stratospheric constituents: a review

Cited by 21 publications

References 139 publications

A review of forecast error covariance statistics in atmospheric variational data assimilation. I: Characteristics and measurements of forecast error covariances

A review of forecast error covariance statistics in atmospheric variational data assimilation. I: Characteristics and measurements of forecast error covariances

The COST 723 Action

The global structure of upper troposphere‐lower stratosphere ozone in GEOS‐5: A multiyear assimilation of EOS Aura data

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