Large‐scale chemical evolution of the Arctic vortex during the 1999/2000 winter: HALOE/POAM III Lagrangian photochemical modeling for the SAGE III—Ozone Loss and Validation Experiment (SOLVE) campaign

Pierce, R. Bradley; Al-Saadi, J. A.; Fairlie, T. D.; Natarajan, M.; Harvey, V. Lynn; Grose, W. L.; Russell, James M.; Bevilacqua, R. M.; Eckermann, Stephen D.; Fahey, D. W.; Popp, Peter; Richard, E. C.; Stimpfle, R. M.; Toon, G. C.; Webster, C. R.; Elkins, James W.

doi:10.1029/2001jd001063

Cited by 26 publications

(36 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This paper analyses ozone measurements from 7 satellite instruments: MIPAS (Fischer and Oelhaf, 1996;Mengistu Tsidu et al, 2003;Glatthor et al, 2005), SBUV (Planet et al, 2001) SAGE II and III (Thomason and Taha, 2003), POAM III (Lumpe et al, 2003;Pierce et al, 2003), OSIRIS (von Savigny et al, 2003), and HALOE (Brühl et al, 1996). The use of a wide range of instruments provides insight, in some instances, into the source of discrepancies when a single instrument departs from the majority.…”

Section: Validation Against Other Satellite Measurementsmentioning

confidence: 99%

Evaluation of MIPAS ozone fields assimilated using a new algorithm constrained by isentropic tracer advection

Juckes

2006

Atmos. Chem. Phys.

View full text Add to dashboard Cite

Abstract.A new data assimilation algorithm, using the isentropic advection equation, is applied to MIPAS and SBUV measurements of stratospheric ozone. The system is solved separately on each isentropic level, with neither vertical advection nor chemical reactions represented. The results are validated against HALOE, POAM III, SAGE II & III, OSIRIS and ozone sonde data. The new assimilation algorithm has the accuracy of the Kalman smoother but is, for the systems studied here with up to 200 000 variables per time step and 61 million control variables in total, many orders of magnitude less computationally expensive. The analysis produced minimises a single penalty function evaluated over an analysis window of over one month. The cost of the analysis is found to increase nearly linearly with the number of control variables. Compared with over 800 profiles from Electrochemical Concentration Cell sondes at 29 sites the analysis is found to be merely 0.1% high at 420 K, rising to 0.4% at 650 K. Comparison against the other satellites imply that the bias remains small up to 1250 K (38 km) and then increases to around -10% at 1650 K (44 km). Between 20 and 35 km the root-mean-square difference relative to HALOE, SAGE II & III, and POAM is in the 5 to 10% range, with larger discrepancies relative to other instruments. Outside this height range rms differences are generally larger, though agreement with HALOE remains good up to 50 km. The assimilation has closer agreement to independent observations than found in direct near-neighbour comparisons between profiles, demonstrating that the assimilation can add value to the observations.

show abstract

Section: Validation Against Other Satellite Measurementsmentioning

confidence: 99%

Evaluation of MIPAS ozone fields assimilated using a new algorithm constrained by isentropic tracer advection

Juckes

2006

Atmos. Chem. Phys.

View full text Add to dashboard Cite

show abstract

“…In spite of attention placed on ozone loss in the polar regions, numerous theoretical models routinely underestimate ozone loss rates in much of the lower polar stratosphere (between about 400 and 550 K) compared to "observed" loss rates (e.g., Chipperfield et al, 1996;Goutail et al, 1997;Deniel et al, 1998;Becker et al, 2000;Guirlet et al, 2000). Even with the most recent Arctic field campaign results (e.g., SOLVE I/II, the SAGE III Ozone Loss and Validation Experiment; THESEO-2000, the Third European Stratospheric Experiment on Ozone; and VINTERSOL, Validation of International Satellites and Ozone Loss) this long-standing problem has yet to be resolved (e.g., Pierce et al, 2003). Rex et al (2002a) identified two main areas of uncertainty in modeling Arctic ozone loss: quantifying denitrification and 598 C. S. Singleton et al: 2002Singleton et al: -2003 chlorine activation, and understanding early winter ozone loss at high solar zenith angles.…”

Section: Introduction and Objectivesmentioning

confidence: 99%

“…Phys., 5, 597-609, 2005 www.atmos-chem-phys.org/acp/5/597/ C. S. Singleton et al: 2002Singleton et al: -2003 1998). Mixing across the vortex edge or differential descent and mixing within the vortex may disrupt the compactness of ozone/tracer relationships and can result in anomalous relationships; such effects must be considered before estimates of ozone loss can be made reliably from tracer relationships (Plumb et al, 2000;Ray et al, 2002). The Vortex Average method as applied by Hoppel et al (2002) uses vortexaveraged descent rates, tantamount to assuming uniform descent within the vortex, and does not account for lateral mixing across the vortex edge.…”

Section: Introduction and Objectivesmentioning

confidence: 99%

2002-2003 Arctic ozone loss deduced from POAM III satellite observations and the SLIMCAT chemical transport model

et al. 2005

Self Cite

View full text Add to dashboard Cite

Abstract. The SLIMCAT three-dimensional chemical transport model (CTM) is used to infer chemical ozone loss from Polar Ozone and Aerosol Measurement (POAM) III observations of stratospheric ozone during the Arctic winter of [2002][2003]. Inferring chemical ozone loss from satellite data requires quantifying ozone variations due to dynamical processes. To accomplish this, the SLIMCAT model was run in a "passive" mode from early December until the middle of March. In these runs, ozone is treated as an inert, dynamical tracer. Chemical ozone loss is inferred by subtracting the model passive ozone, evaluated at the time and location of the POAM observations, from the POAM measurements themselves. This "CTM Passive Subtraction" technique relies on accurate initialization of the CTM and a realistic description of vertical/horizontal transport, both of which are explored in this work. The analysis suggests that chemical ozone loss during the 2002-2003 winter began in late December. This loss followed a prolonged period in which many polar stratospheric clouds were detected, and during which vortex air had been transported to sunlit latitudes. A series of stratospheric warming events starting in January hindered chemical ozone loss later in the winter of 2003. Nevertheless, by 15 March, the final date of the analysis, ozone loss maximized at 425 K at a value of about 1.2 ppmv, a moderate amount of loss compared to loss during the unusually cold winters in the late-1990s. SLIMCAT was also run with a detailed stratospheric chemistry scheme to obtain the modelpredicted loss. The SLIMCAT model simulation also showsCorrespondence to: C. S. Singleton (shaw@lasp.colorado.edu) a maximum ozone loss of 1.2 ppmv at 425 K, and the morphology of the loss calculated by SLIMCAT was similar to that inferred from the POAM data. These results from the recently updated version of SLIMCAT therefore give a much better quantitative description of polar chemical ozone loss than older versions of the same model. Both the inferred and modeled loss calculations show the early destruction in late December and the region of maximum loss descending in altitude through the remainder of the winter and early spring.

show abstract

“…Consequently the important influences of orographic gravity wave drag on the climate and meteorology of the extratropical winter stratosphere and mesosphere and of mountain waves on PSC formation and ozone loss must be parametrized in global middle atmosphere models (e.g. McLandress, 1998;Pierce et al, 2003;Mann et al, 2005;Siskind et al, 2007). These parametrizations incorporate various simplifying assumptions that are difficult to validate due to the paucity of mountain wave data from satellites.…”

Section: Introductionmentioning

confidence: 99%

A three‐dimensional mountain wave imaged in satellite radiance throughout the stratosphere: Evidence of the effects of directional wind shear

Eckermann

et al. 2007

Quart J Royal Meteoro Soc

View full text Add to dashboard Cite

Swath-scanned thermal radiances from the Advanced Microwave Sounding Units (AMSU-A) on the NOAA and Aqua satellites are used to image the horizontal temperature structure of a long-wavelength mountain wave that formed over southern Scandinavia on 14 January 2003. Data from all six stratospheric channels show this wave propagating through the full depth of the stratosphere. In channels 9-11 (altitudes ∼20-90 hPa) the imaged wave has a phase structure broadly consistent with a stationary wave radiated by the southeastward flow over and above the quasi-elliptical terrain of southern Norway. Channel 12 radiances at ∼10 hPa, however, show a remarkable abrupt change in imaged wave structure: the horizontal wavelength contracts, phase lines rotate anticlockwise by 30°-40°, and peak activity migrates to the south to lie over Denmark and northern Germany. Similar structure persists in channels 13 and 14 (at ∼2-5 hPa) with progessively increasing radiance amplitudes. These features are stable over the ∼10 hours of AMSU-A measurements from five separate overpasses, and are validated against independent radiances acquired by the Atmospheric Infrared Sounder (AIRS) and retrieved AIRS/AMSU-A temperature profiles from the Aqua overpass.This change at the channel 11/12 interface coincides with an onset of anticlockwise rotation (backing) and intensification of background stratospheric winds with height. Fourier-ray and spatial ray modelling incorporating these directionally sheared winds and simplified orographic forcing reproduce the salient features of the observations, but only after waveinduced temperature perturbations have been converted to channel radiances using a forward model. The differential visibility of various components of this three-dimensional mountain wave to the AMSU-A channel weighting functions has a first-order impact on the observations at heights above 10 hPa. Once that is factored in, the combined observations and modelling provide direct experimental support for the Shutts model's predictions of how backing wind vectors affect the vertical evolution of three-dimensional mountain waves. Implications of these observations for orographic gravity wave drag parametrization are briefly discussed.

show abstract

Large‐scale chemical evolution of the Arctic vortex during the 1999/2000 winter: HALOE/POAM III Lagrangian photochemical modeling for the SAGE III—Ozone Loss and Validation Experiment (SOLVE) campaign

Cited by 26 publications

References 50 publications

Evaluation of MIPAS ozone fields assimilated using a new algorithm constrained by isentropic tracer advection

Evaluation of MIPAS ozone fields assimilated using a new algorithm constrained by isentropic tracer advection

2002-2003 Arctic ozone loss deduced from POAM III satellite observations and the SLIMCAT chemical transport model

A three‐dimensional mountain wave imaged in satellite radiance throughout the stratosphere: Evidence of the effects of directional wind shear

Contact Info

Product

Resources

About