Validation of ozone measurements from the Improved Limb Atmospheric Spectrometer

Sugita, T.; Yokota, Tatsuya; Nakajima, H.; Kanzawa, Hiroshi; Nakane, Hideaki; Gernandt, Hartwig; Yushkov, V.; Shibasaki, Kazuo; Deshler, Terry; Kondo, Yutaka; Godin, S.; Goutail, Florence; Pommereau, Jean‐Pierre; Camy‐Peyret, C.; Payan, Sébastien; Jeseck, Pascal; Renard, Jean‐Baptiste; Bösch, H.; Fitzenberger, R.; Pfeilsticker, Klaus; König, M.; Bremer, H.; Küllmann, H.; Schläger, Hans; Margitan, J. J.; Stachnik, B.; Toon, G. C.; Jucks, K. W.; Traub, Wesley A.; Johnson, David G.; Murata, Isao; Fukunishi, H.; Sasano, Yasuhiro

doi:10.1029/2001jd000602

Cited by 36 publications

(48 citation statements)

References 53 publications

(77 reference statements)

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“…Version 5.20 ILAS and version 1.4 ILAS-II ozone profiles were validated by comparing with various data sources (Sugita et al, 2002(Sugita et al, , 2006. These validations showed that ILAS ozone data agreed with other data sets within ±10 % with a few exceptions between 11 and 64 km (Table 1a, b).…”

Section: Ilas and Ilas-iimentioning

confidence: 85%

“…The Improved Limb Atmospheric Spectrometer (ILAS) was a satellite-borne solar-occultation sensor on board the Japanese Advanced Earth Observing Satellite (ADEOS) (Sasano, 2002). ILAS consisted of an infrared spectrometer that covers the wavelength region from about 6 to 12 µm with a detector array of 44 elements and a visible spectrometer from 753 to 784 µm with a detector array of 1024 elements.…”

Section: Ilas and Ilas-iimentioning

confidence: 99%

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Past changes in the vertical distribution of ozone – Part 1: Measurement techniques, uncertainties and availability

et al. 2014

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Abstract. Peak stratospheric chlorofluorocarbon (CFC) and other ozone depleting substance (ODS) concentrations were reached in the mid-to late 1990s. Detection and attribution of the expected recovery of the stratospheric ozone layer in an atmosphere with reduced ODSs as well as efforts to understand the evolution of stratospheric ozone in the presence of increasing greenhouse gases are key current research topics. These require a critical examination of the ozone changes with an accurate knowledge of the spatial (geographical and vertical) and temporal ozone response. For such an examination, it is vital that the quality of the measurements used be as high as possible and measurement uncertainties well quantified.

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Section: Ilas and Ilas-iimentioning

confidence: 85%

Section: Ilas and Ilas-iimentioning

confidence: 99%

Past changes in the vertical distribution of ozone – Part 1: Measurement techniques, uncertainties and availability

et al. 2014

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“… Manney et al [2001] compared SAGE II, HALOE, and POAM II and III ozone data and found differences to be less than 0.5 ppmv (≈5%) in the upper stratosphere and ≈0.25 ppmv in the lower stratosphere. ILAS ozone is within 10% of HALOE, SAGE II, and POAM III between 20 and 50 km [ Sugita et al , 2002]. These data validation and comparison studies provide the justification for combining these data.…”

Section: Data and Analysis Methodsmentioning

confidence: 99%

On the distribution of ozone in stratospheric anticyclones

et al. 2004

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Twelve years (1991–2003) of satellite occultation ozone data are combined with a climatology of stratospheric anticyclones and polar vortices to quantify the climatological ozone differences between air mass types. Ozone data from the Stratospheric Aerosol and Gas Experiment (SAGE) II, the Halogen Occultation Experiment (HALOE), the Polar Ozone and Aerosol Measurement (POAM) II and III missions, and the Improved Limb Atmospheric Spectrometer (ILAS) sensor are used in this study. Daily ozone measurements in the 400–1600 K altitude range are categorized as being either (1) in an anticyclone, (2) in a polar vortex, or (3) in neither (hereinafter referred to as “ambient”). Monthly mean ozone is then calculated in each air mass category from data combined over all years. This study focuses on ozone differences between anticyclones and the ambient environment. A composite annual cycle of ozone in ambient regions is compared to ozone in anticyclones as a function of altitude and latitude. Ozone differences result from both anomalous transport and photochemistry in the vicinity of stratospheric anticyclones. The relative importance of transport versus chemistry is inferred from the long‐term ozone anomalies observed here. In summer, ozone gradients between different air mass types are small. In other seasons, results indicate three distinct vertical regimes at high latitudes. Below ≈600 K, anticyclones coincide with regions where ozone is reduced by 10–50% during the winter. Between 600 and 900 K from fall to midwinter, anticyclones are associated with ≈10% more ozone than ambient air masses. Positive ozone anomalies are also observed in low‐latitude anticyclones within this vertical layer; however, they are half the size of their high‐latitude counterparts and peak several months later. Above 900 K the abundance of ozone in anticyclones is ≈10% less than in the surrounding air. This upper stratospheric regime results from the formation of “low‐ozone pockets” (LOPs) in stratospheric anticyclones. All LOPs that formed between November 1991 and November 2003 and were observed by a satellite used in this study (108 pockets) are documented here in the most comprehensive catalog of LOPs to date.

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“…The flexibility of the aircraft allows to investigate small and medium scale spatial variations in the stratosphere closing the gap between locally limited balloon measurements and synoptic satellite data. The high stability and reproducibility of the measurements performed with ASUR make this technique well suited for validation campaigns of spaceborne sensors as successfully done for UARS (MLS, HALOE) ATLAS (MAS), ERS-2 (GOME) and ADEOS (ILAS) (Crewell et al, 1995;Sugita et al, 2002;Kanzawa et al, 2003).…”

Section: The Asur Submillimeter Radiometermentioning

confidence: 99%

“…It is also apparent from Table 1 that in most cases in-situ instruments were used. Only very few examples of validation activities are reported in the literature where remote sensing instruments have been deployed on aircraft such as the NASA DC-8 , the DLR Falcon or the M55-Geophysika (Crewell et al, 1995;Englert et al, 2000;Feist et al, 2000;Schoeberl et al, 2002;Sugita et al, 2002;Kanzawa et al, 2003;Lumpe et al, 2003;Fix et al, 2003;Blom et al, 2003).…”

mentioning

confidence: 99%

SCIAMACHY validation by aircraft remote sensing: design, execution, and first measurement results of the SCIA-VALUE mission

Fix¹,

Ehret²,

Flentje³

et al. 2005

Atmos. Chem. Phys.

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Abstract. For the first time three different remote sensing instruments -a sub-millimeter radiometer, a differential optical absorption spectrometer in the UV-visible spectral range, and a lidar -were deployed aboard DLR's meteorological research aircraft Falcon 20 to validate a large number of SCIA-MACHY level 2 and off-line data products such as O 3 , NO 2 , N 2 O, BrO, OClO, H 2 O, aerosols, and clouds. Within two validation campaigns of the SCIA-VALUE mission (SCIA-MACHY VALidation and Utilization Experiment) extended latitudinal cross-sections stretching from polar regions to the tropics as well as longitudinal cross sections at polar latitudes at about 70 • N and the equator were generated. This contribution gives an overview over the campaigns performed and reports on the observation strategy for achieving the validation goals. We also emphasize the synergetic use of the novel set of aircraft instrumentation and the usefulness of this innovative suite of remote sensing instruments for satellite validation.

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Validation of ozone measurements from the Improved Limb Atmospheric Spectrometer

Cited by 36 publications

References 53 publications

Past changes in the vertical distribution of ozone – Part 1: Measurement techniques, uncertainties and availability

Past changes in the vertical distribution of ozone – Part 1: Measurement techniques, uncertainties and availability

On the distribution of ozone in stratospheric anticyclones

SCIAMACHY validation by aircraft remote sensing: design, execution, and first measurement results of the SCIA-VALUE mission

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