Improved ozone profile retrievals from GOME data with degradation  correction in reflectance

Liu, X.; Chance, K.; Kurosu, Thomas P.

doi:10.5194/acp-7-1575-2007

Cited by 23 publications

(17 citation statements)

References 12 publications

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“…The first product is based on an optimal estimation technique by Liu et al (2007Liu et al ( , 2010 with modifications as described in Kim et al (2013), and is referred to as OMI/LIU hereafter. For OMI/LIU, errors for individual TCO retrievals are typically 2-5 DU (Liu et al, 2010).…”

Section: Two Omi Products For Tropospheric Column Ozonementioning

confidence: 99%

Improved simulation of tropospheric ozone by a global-multi-regional two-way coupling model system

et al. 2016

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Abstract. Small-scale nonlinear chemical and physical processes over pollution source regions affect the tropospheric ozone (O 3 ), but these processes are not captured by current global chemical transport models (CTMs) and chemistryclimate models that are limited by coarse horizontal resolutions (100-500 km, typically 200 km). These models tend to contain large (and mostly positive) tropospheric O 3 biases in the Northern Hemisphere. Here we use the recently built two-way coupling system of the GEOS-Chem CTM to simulate the regional and global tropospheric O 3 in 2009. The system couples the global model (at 2.5 • long. × 2 • lat.) and its three nested models (at 0.667 • long. × 0.5 • lat.) covering Asia, North America and Europe, respectively. Specifically, the nested models take lateral boundary conditions (LBCs) from the global model, better capture small-scale processes and feed back to modify the global model simulation within the nested domains, with a subsequent effect on their LBCs.

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Section: Two Omi Products For Tropospheric Column Ozonementioning

confidence: 99%

Improved simulation of tropospheric ozone by a global-multi-regional two-way coupling model system

et al. 2016

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“…Furthermore, degradation of satellite instruments in the UV is often observed (e.g., GOME, Snel , 2000;Tanzi et al, 2000;van der A et al, 2002, andSCIAMACHY, Noël et al, 2007;Bramstedt et al, 2009). Several methods have been published to correct measured reflectances with modeled reflectances (e.g., van der A et al, 2002;Krijger et al, 2005;van Soest et al, 2005) or by comparing measured reflectances to those at the beginning of the mission after removing both solar zenith angle and seasonal dependencies (Liu et al, 2007;Tilstra et al, 2012a). Cai et al (2012) provide an extensive analysis of both the spectral and the cross-track degradation of GOME-2 measurements with time compared with model simulations and derived an empirical radiometric correction.…”

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confidence: 99%

The direct fitting approach for total ozone column retrievals: a sensitivity study on GOME-2/MetOp-A measurements

et al. 2015

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Abstract. We present a sensitivity study of the direct fitting approach to retrieve total ozone columns from the clear sky Global Ozone Monitoring Experiment 2/MetOp-A (GOME-2/MetOp-A) measurements between 325 and 335 nm in the period 2007-2010. The direct fitting of the measurement is based on adjusting the scaling of a reference ozone profile and requires accurate simulation of GOME-2 radiances. In this context, we study the effect of three aspects that introduce forward model errors if not addressed appropriately:(1) the use of a clear sky model atmosphere in the radiative transfer demanding cloud filtering, (2) different approximations of Earth's sphericity to address the influence of the solar zenith angle, and (3) the need of polarization in radiative transfer modeling. We conclude that cloud filtering using the operational GOME-2 FRESCO (Fast Retrieval Scheme for Clouds from the Oxygen A band) cloud product, which is part of level 1B data, and the use of pseudo-spherical scalar radiative transfer is fully sufficient for the purpose of this retrieval. A validation with ground-based measurements at 36 stations confirms this showing a global mean bias of −0.1 % with a standard deviation (SD) of 2.7 %. The regularization effect inherent to the profile scaling approach is thoroughly characterized by the total column averaging kernel for each individual retrieval. It characterizes the effect of the particular choice of the ozone profile to be scaled by the inversion and is part of the retrieval product. Two different interpretations of the data product are possible: first, regarding the retrieval product as an estimate of the true column, a direct comparison of the retrieved column with total ozone columns from ground-based measurements can be done. This requires accurate a priori knowledge of the reference ozone profile and the column averaging kernel is not needed. Alternatively, the retrieval product can be interpreted as an effective column defined by the total column averaging kernel. This interpretation relies much less on the a priori knowledge of the reference ozone profile; however, for its validation, measurements of the vertical ozone distribution are needed. The different manners of data interpretation are demonstrated for simulated and real measurements using on-ground ozone column and ozonesonde measurements for validation.

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“…3.1) this assumption can be regarded fulfilled but the earthshine radiance and, thus, the reflectance on the other hand depend strongly on highly variable atmospheric conditions such as clouds, trace gases, aerosols, or surface albedo and on the viewing angle. Therefore, retrievals using this correction may be inadequate for trend 20 studies (Liu et al, 2007). On the other hand, Garane et al (2018) have shown that using the latest version of the direct fitting approach GODFIT for ozone retrieval (GODFIT version 4) GOME (as well as OMI) performs in an extremely stable way and does not require any spectral soft calibration procedure.…”

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confidence: 99%

“…to degradation in the reflectance, which may affect for example ozone profile retrievals (van der A et al, 2002;Liu et al, 2007) or the determination of total ozone columns using a direct fitting approach (Lerot et al, 2014), because these algorithms are sensitive to absolutely calibrated reflectances. Correction approaches for the reflectance degradation have been developed in the past which rely on, e.g.…”

mentioning

confidence: 99%

“…Correction approaches for the reflectance degradation have been developed in the past which rely on, e.g. the comparison of experimental and simulated data (van der A et al, 2002;Cai et al, 2012), the comparison of satellite reflectance spectra with ground-based reference spectra (Lerot et al, 2014), or the comparison of 15 global average reflectance with respect to global average reflectance from the beginning of the mission (Liu et al, 2007;Tilstra et al, 2012). For the latter approach the underlying assumption is that the global average reflectance does not change in time.…”

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confidence: 99%

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The Global Ozone Monitoring Experiment: Review of in-flight performance and new reprocessed 1995–2011 level 1 product

Coldewey‐Egbers¹,

Slijkhuis²,

Aberle³

et al. 2018

Preprint

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Abstract. The Global Ozone Monitoring Experiment (GOME) on-board the second European Remote Sensing satellite provided measurements of atmospheric constituents such as ozone or other trace gases for the 16 year period from 1995 to 2011.In this paper we present a detailed analysis of the long-term performance of the sensor and introduce the new homogenized and fully calibrated level 1 product which has been generated using the recently developed GOME Data Processor level-0-to-1b (GDP-L1) Version 5.1. By means of the various in-flight calibration parameters we monitor the behavior and stability of the in-5 strument during the entire mission. Severe degradation of the optical components has led to a significant decrease in intensity in particular in channels 1 and 2 covering the spectral ranges of 240-316 nm and 311-405 nm, respectively. Thus, a soft correction based on using the sun as a stable calibration source is applied. Revision and optimization of other calibration algorithms such as the wavelength assignment, polarization correction, or dark current correction resulted in an improved and homogeneous level 1 product that can be regarded as the European satellite reference data for successor atmospheric composition sensors and 10 that provides an excellent prerequisite for further exploitation of GOME measurements.

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Improved ozone profile retrievals from GOME data with degradation correction in reflectance

Cited by 23 publications

References 12 publications

Improved simulation of tropospheric ozone by a global-multi-regional two-way coupling model system

Improved simulation of tropospheric ozone by a global-multi-regional two-way coupling model system

The direct fitting approach for total ozone column retrievals: a sensitivity study on GOME-2/MetOp-A measurements

The Global Ozone Monitoring Experiment: Review of in-flight performance and new reprocessed 1995–2011 level 1 product

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