The retrieval of O 3 profiles from limb scatter measurements: Results from the Shuttle Ozone Limb Sounding Experiment

144

126

Abstract. This paper presents extensive bias determination analyses of ozone observations from the Atmospheric Chemistry Experiment (ACE) satellite instruments: the ACE Fourier Transform Spectrometer (ACE-FTS) and the Measurement of Aerosol Extinction in the Stratosphere and Troposphere Retrieved by Occultation (ACE-MAESTRO) instrument. Here we compare the latest ozone data products from ACE-FTS and ACE-MAESTRO with coincident observations from nearly 20 satellite-borne, airborne, balloonborne and ground-based instruments, by analysing volume mixing ratio profiles and partial column densities. The ACE-FTS version 2.2 Ozone Update product reports more ozone than most correlative measurements from the upper troposphere to the lower mesosphere. At altitude levels from 16 to 44 km, the average values of the mean relative differences are nearly all within +1 to +8%. At higher altitudes (45-60 km), the ACE-FTS ozone amounts are significantly larger than those of the comparison instruments, with mean relative differences of up to +40% (about +20% on average). For the ACE-MAESTRO version 1.2 ozone data product, mean relative differences are within ±10% (average values within ±6%) between 18 and 40 km for both the sunrise and sunset measurements. At higher altitudes (∼35-55 km), systematic biases of opposite sign are found between the ACE-MAESTRO sunrise and sunset observations. While ozone amounts derived from the ACE-MAESTRO sunrise occultation data are often smaller than the coincident observations (with mean relative differences down to −10%), the sunset occultation profiles for ACE-MAESTRO show results that are qualitatively similar to ACE-FTS, indicating a large positive bias (mean relative differences within +10 to +30%) in the 45-55 km altitude range. In contrast, there is no significant systematic difference in bias found for the ACE-FTS sunrise and sunset measurements.

Section: Odin/osirismentioning

confidence: 99%

Validation of ozone measurements from the Atmospheric Chemistry Experiment (ACE)

Dupuy¹,

Walker²,

Kar³

et al. 2009

144

126

“…The OSIRIS spectrograph measures scattered sunlight within a field of view of 1.288 arc min in the vertical direction, equivalent to ∼1 km height at the tangent point. Ozone number density profiles are retrieved from the OSIRIS limb radiance spectra in the Chappuis absorption bands between 10 and 50 km on a 2 km grid, using the inversion technique suggested by Flittner et al (2000) and McPeter et al (2000) and adapted to OSIRIS by von . The vertical resolution is 2 km.…”

Section: Odin-osirismentioning

confidence: 99%

Evaluation of ozonesondes, HALOE, SAGE II and III, Odin- OSIRIS and -SMR, and ENVISAT-GOMOS, -SCIAMACHY and -MIPAS ozone profiles in the tropics from SAOZ long duration balloon measurements in 2003 and 2004

Borchi

Pommereau

2007

Abstract. The performances of satellite and sondes ozone measuring instruments available in the tropics between 10 and 26 km during the southern hemisphere summer in 2003 and 2004, have been investigated by comparison with series of profiles obtained by solar occultation in the visible Chappuis bands using a SAOZ UV-Vis spectrometer carried by long duration balloons. When compared to SAOZ, systematic positive or negative altitude shifts are observed in the satellite profiles, varying from <50 m for the GOMOS v6.0b stellar occultation instrument, followed by +100/200 m for solar occultation systems (SAGE II v6.2, HALOE v19 above 22 km), but as large as −900 m for the OSIRIS limb viewing system. The ozone relative biases are generally limited, between −4% and +4%, for measurements in the visible Chappuis bands (SAGE II and SAGE III moon v3, GOMOS above 22 km and OSIRIS), the near IR (HALOE above 22 km) and the ozonesondes, but increase to +5.5% (SCIAMACHY IUP v1.63) though still in the visible, and +7% in the mid-IR (MI-PAS NL v4.61) and the submillimetric range (SMR v222). Regarding precision, evaluated statistically from the zonal variability of ozone concentration, the best measurements are found to be those of SAGE II (2%), followed by HALOE above 22 km (3-4%), then the ozonesondes, SAGE III moon, SCIAMACHY and OSIRIS (4-5%), GOMOS above 22 km (∼6%), MIPAS (8.5%) and finally SMR (16%). Overall, all satellite ozone measurements appear to be of little utility in the tropical troposphere except those of SAGE II (and eventually SAGE III), though low biased by 50% and of limited (50%) precision.

“…Remote sensing of ozone concentration using spectroscopic techniques has been performed using both UV and thermal infrared (TIR) measurements. The UV measurements were carried out from ground (Götz et al, 1934;McDermid et al, 2002;Petropavlovskikh et al, 2005;Tzortziou et al, 2008), aircraft (Browell et al, 1983), balloon (Weidner et al, 2005), and spaceborne platforms (nadir-viewing measurements by Solar Backscatter Ultraviolet Radiometer (SBUV) (Bhartia et al, 1996), Global Ozone Monitoring Experiment (GOME) (Munro et al, 1998;Hoogen et al, 1999;Liu et al, 2005Liu et al, , 2006, GOME-2 (van Peet et al, 2009;Cai et al, 2012), Ozone Monitoring Instrument (OMI) (Liu et al, 2010a;Kroon et al, 2011), and limbscattering measurements by Shuttle Ozone Limb Sounding Experiment (SOLSE) (McPeters et al, 2000), Optical Spectrograph and InfraRed Imager System (OSIRIS) (von Savigny et al, 2003), and SCanning Imaging Absorption SpectroMeter for Atmospheric CHartographY (SCIAMACHY) (Eichman et al, 2004;Sellitto et al, 2012a,b)). The TIR measurements were performed from ground (Pougatchev et al, 1995;Hamdouni et al, 1997), aircraft (Toon et al, 1989;Blom et al, 1995), balloon (Clarmann et al, 1993;Toon et al, 2002), and spaceborne platforms (Atmospheric Trace Molecules Observed by Spectroscopy (ATMOS) (Gunson et al, 1990); Cryogenic Limb Array Etalon Spectrometer (CLAES) (Bailey et al, 1996); HALogen Occultation Experiment (HALOE) (Brühl et al, 1996); CRyogenic Infrared Spectrometers & Telescopes for the Atmosphere (CRISTA) (Riese et al, 1999); Atmospheric Chemistry Experiment (ACE) Boone et al, 2005), and Tropospheric Emission Spectrometer (TES) …”

Section: Introductionmentioning

confidence: 99%

Characterization of ozone profiles derived from Aura TES and OMI radiances

Worden

Liu

et al. 2013

We present satellite based ozone profile estimates derived by combining radiances measured at thermal infrared (TIR) wavelengths from the Aura Tropospheric Emission Spectrometer (TES) and ultraviolet (UV) wavelengths measured by the Aura Ozone Monitoring Instrument (OMI). The advantage of using these combined wavelengths and instruments for sounding ozone over either instrument alone is improved sensitivity near the surface as well as the capability to consistently resolve the lower troposphere, upper troposphere, and lower stratosphere for scenes with varying geophysical states. For example, the vertical resolution of ozone estimates from either TES or OMI varies strongly by surface albedo and temperature. Typically, TES provides 1.6 degrees of freedom for signal (DOFS) and OMI provides less than 1 DOFS in the troposphere. The combination provides 2 DOFS in the troposphere with approximately 0.4 DOFS for near surface ozone (surface to 700 hPa). We evaluated these new ozone profile estimates with ozonesonde measurements and found that calculated errors for the joint TES and OMI ozone profile estimates are in reasonable agreement with actual errors as derived by the root-mean-square (RMS) difference between the ozonesondes and the joint TES/OMI ozone estimates. We also used a common a priori profile in the retrievals in order to evaluate the capability of different retrieval approaches on capturing near-surface ozone variability. We found that the vertical resolution of the joint TES/OMI ozone profile estimates shows significant improvements on quantifying variations in near-surface ozone with RMS differences of 49.9% and correlation coefficient of R = 0.58 for the TES/OMI near-surface estimates as compared to 67.2% RMS difference and R = 0.33 for TES and 115.8% RMS difference and R = 0.09 for OMI. This comparison removes the impacts of using the climatological a priori in the retrievals. However, it results in artificially large sonde/retrieval differences. The TES/OMI ozone profiles from the production code of joint retrievals will use climatological a priori and therefore will have more realistic ozone estimates than those from using a common a priori volume mixing ratio profile