Halogen Occultation Experiment ozone channel validation

Brühl, Christoph; Drayson, S. Roland; Russell, James M.; Crutzen, Paul J.; McInerney, Joseph; Purcell, P.; Claude, H.; Gernandt, Hartwig; McGee, Thomas J.; McDermid, I. Stuart; Gunson, M. R.

doi:10.1029/95jd02031

Cited by 186 publications

(154 citation statements)

References 28 publications

(6 reference statements)

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“…points. Therefore special attention has to be paid to the asymmetric transitions around terminators when comparing model results with the measurements [Bruhl et al, 1996]. In the lower mesosphere (-55-75 km) the sunset ozone mixing ratio is significantly smaller than its sunrise value.…”

Section: Model Resultsmentioning

confidence: 99%

Numerical modeling of chemical‐dynamical coupling in the upper stratosphere and mesosphere

Zhu¹,

Yee²,

Lloyd³

et al. 1999

J. Geophys. Res.

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Section: Model Resultsmentioning

confidence: 99%

Numerical modeling of chemical‐dynamical coupling in the upper stratosphere and mesosphere

Zhu¹,

Yee²,

Lloyd³

et al. 1999

J. Geophys. Res.

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“…The combined systematic and random uncertainty of single ozone profiles is between 9% and 25% in the lower stratosphere and between 9% and 20% in the upper stratosphere. The agreement with correlative measurements is typically better than 10% down to 200 hPa in the extratropics and down to 100 hPa in the tropics and subtropics (Bruhl et al, 1996;Bhatt et al, 1999). HALOE data are available for the period from 11 October 1991 to 21 November 2005.…”

Section: Haloementioning

confidence: 96%

Assimilation of EOS MLS ozone observations in the Met Office data‐assimilation system

Jackson¹

2007

Quart J Royal Meteoro Soc

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ABSTRACT:In this paper the impact of Earth Observing System Microwave Limb Sounder (EOS MLS) observations on ozone analyses is investigated using the Met Office data-assimilation system. EOS MLS was launched in 2004, and produces high-quality ozone observations in the upper troposphere and stratosphere at high vertical and horizontal resolution. The experiments shown here are run using 3D-Var and a forecast model that has 50 levels -from the surface to approximately 63 km -and a horizontal resolution of 2.5°latitude by 3.75°longitude. Most of the experiments are run for the period January-February 2005.The chief impact of assimilating EOS MLS data is a reduction of the mean analysis error, and of the standard deviation, in the lower stratosphere. Compared with control simulations, mean errors drop by 5%-25% in the Southern-Hemisphere extratropics, by around 10% in the Northern-Hemisphere extratropics, and by around 50% (with respect to ozonesondes) in the region of the tropical upper troposphere and lower stratosphere.Further investigation shows that the improved ozone analyses in the Southern Hemisphere largely result from a much better representation of summertime low-ozone events. These events have been documented in the northern summer stratosphere, but never before in the southern summer stratosphere. In the Northern Hemisphere the addition of EOS MLS to the assimilation system is shown to lead to a better representation of winter polar ozone depletion. At low latitudes, it appears that errors in the background model transport fields often lead to errors in the ozone analysis, but that the addition of high-density, good-quality EOS MLS data alleviates much of this error. It is noted that the EOS MLS data have a more beneficial impact on ozone analyses in this region than do data from the Michelson Interferometer for Passive Atmospheric Sounding, which has a similar resolution and observational error to EOS MLS.  Crown

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“…In the first part, the SOMORA data set is utilized for a cross-validation of the satellite experiments Aura/MLS , ENVISAT/MIPAS (Glatthor et al, 2006;Steck et al, 2006), ENVISAT/GOMOS (Meijer et al, 2004), SAGE-II (Nazaryan et al, 2005), SAGE-III (Polyakov et al, 2005), and UARS/HALOE (Brühl et al, 1996). The references above correspond to previous ozone validation studies of the satellite experiments.…”

Section: Introductionmentioning

confidence: 99%

Comparison and synergy of stratospheric ozone measurements by satellite limb sounders and the ground-based microwave radiometer SOMORA

et al. 2007

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Abstract.Stratospheric O 3 profiles obtained by the satellite limb sounders Aura/MLS, ENVISAT/MIPAS, EN-VISAT/GOMOS, SAGE-II, SAGE-III, UARS/HALOE are compared to coincident O 3 profiles of the ground-based microwave radiometer SOMORA in Switzerland. Data from the various measurement techniques are within 10% at altitudes below 45 km. At altitudes 45-60 km, the relative O 3 differences are within a range of 50%. Larger deviations at upper altitudes are attributed to larger relative measurement errors caused by lower O 3 concentrations. The spatiotemporal characteristics of the O 3 differences (satelliteground station) are investigated by analyzing about 2300 coincident profile pairs of Aura/MLS (retrieval version 1.5) and SOMORA. The probability density function of the O 3 differences is represented by a Gaussian normal distribution. The dependence of the O 3 differences on the horizontal distance between the sounding volumes of Aura/MLS and SOMORA is derived. While the mean bias (Aura/MLS -SOMORA) is constant with increasing horizontal distance (up to 800 km), the standard deviation of the O 3 differences increases from around 8 to 11% in the mid-stratosphere. Geographical maps yield azimuthal dependences and horizontal gradients of the O 3 difference field around the SOMORA ground station. Coherent oscillations of O 3 are present in the time series of Aura/MLS and SOMORA (e.g., due to traveling planetary waves). Ground-and space-based measurements often complement one another. We discuss the double differencing technique which allows both the cross-validation of Correspondence to: K. Hocke (klemens.hocke@mw.iap.unibe.ch) two satellites by means of a ground station and the crossvalidation of distant ground stations by means of one satellite. Temporal atmospheric noise in the geographical ozone map over Payerne is significantly reduced by combination of the data from SOMORA and Aura/MLS. These analyses illustrate the synergy of ground-based and space-based measurements.

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Halogen Occultation Experiment ozone channel validation

Cited by 186 publications

References 28 publications

Numerical modeling of chemical‐dynamical coupling in the upper stratosphere and mesosphere

Numerical modeling of chemical‐dynamical coupling in the upper stratosphere and mesosphere

Assimilation of EOS MLS ozone observations in the Met Office data‐assimilation system

Comparison and synergy of stratospheric ozone measurements by satellite limb sounders and the ground-based microwave radiometer SOMORA

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