GEMS ozone profile retrieval: impact and validation of version 3.0 improvements

Abstract. This study presents the first comprehensive description of the operational GEMS (Geostationary Environment Monitoring Spectrometer) ozone profile retrieval algorithm and evaluates the performance of the reprocessed version 3.0 dataset. The retrieval operates in the 310–330 nm spectral range and yields total degrees of freedom for ozone ranging from 1.5 to 3. Although the vertical sensitivity is limited, GEMS achieves an effective vertical resolution of 5–10 km and is capable of separating tropospheric and stratospheric ozone layers. This work highlights significant algorithmic and calibration improvements in version 3.0. Radiometric offsets in irradiance measurements are corrected using a scaling factor derived from the average ratio to a solar reference, while residual wavelength-dependent biases in the normalized radiance are further mitigated through soft calibration. In addition, shift corrections are applied separately to irradiance and radiance wavelengths. As a result, version 3.0 significantly reduces spectral fitting residuals, lowering them from 0.8 % in version 2.0 to 0.2 % under nominal conditions. This improvement also mitigates altitude-dependent oscillating biases observed in the previous version (+40 DU in the troposphere, −20 DU in the stratosphere). The version 3 ozone profiles show agreements within ±10 DU of ozonesonde observations, with a mean bias of −7.7 % in tropospheric ozone columns and within 5 % in the stratosphere. Furthermore, the retrievals capture day-to-day vertical ozone variability, as demonstrated by comparisons with daily ozonesonde launches in February and March 2024. Integrated ozone columns derived from the profiles also show improved consistency with ground-based total ozone measurements, yielding a mean bias of −3.6 DU and outperforming the GEMS operational total column ozone product.

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Journal
Atmospheric measurement techniques
Published
2026-01-06
DOI
https://doi.org/10.5194/amt-19-119-2026
Primary Topic
Atmospheric Ozone and Climate
Type
article
Field-Weighted Citation Impact
0.00

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article

GEMS ozone profile retrieval: impact and validation of version 3.0 improvements

Gonzalo González Abad, Cheolhee Kim, Arno Keppens, Klaus-Peter Heue et al.
Atmospheric measurement techniques
Atmospheric Ozone and Climate
article

GEMS ozone profile retrieval: impact and validation of version 3.0 improvements

Gonzalo González Abad, Cheolhee Kim, Arno Keppens, Klaus-Peter Heue, Dae‐Ki Choi, Juseon Bak, Joowan Kim, Kai Yang, Won‐Jin Lee, Ja‐Ho Koo, Xiong Liu, Sungjae Hong, YeonJin Jung, Wonbae Jeon, Jhoon Kim, Hyo-Jung Lee, Jean-Christopher Lambert, Kanghyun Baek, Hyunkee Hong, Jae-Hwan Kim
article en

Abstract

Abstract. This study presents the first comprehensive description of the operational GEMS (Geostationary Environment Monitoring Spectrometer) ozone profile retrieval algorithm and evaluates the performance of the reprocessed version 3.0 dataset. The retrieval operates in the 310–330 nm spectral range and yields total degrees of freedom for ozone ranging from 1.5 to 3. Although the vertical sensitivity is limited, GEMS achieves an effective vertical resolution of 5–10 km and is capable of separating tropospheric and stratospheric ozone layers. This work highlights significant algorithmic and calibration improvements in version 3.0. Radiometric offsets in irradiance measurements are corrected using a scaling factor derived from the average ratio to a solar reference, while residual wavelength-dependent biases in the normalized radiance are further mitigated through soft calibration. In addition, shift corrections are applied separately to irradiance and radiance wavelengths. As a result, version 3.0 significantly reduces spectral fitting residuals, lowering them from 0.8 % in version 2.0 to 0.2 % under nominal conditions. This improvement also mitigates altitude-dependent oscillating biases observed in the previous version (+40 DU in the troposphere, −20 DU in the stratosphere). The version 3 ozone profiles show agreements within ±10 DU of ozonesonde observations, with a mean bias of −7.7 % in tropospheric ozone columns and within 5 % in the stratosphere. Furthermore, the retrievals capture day-to-day vertical ozone variability, as demonstrated by comparisons with daily ozonesonde launches in February and March 2024. Integrated ozone columns derived from the profiles also show improved consistency with ground-based total ozone measurements, yielding a mean bias of −3.6 DU and outperforming the GEMS operational total column ozone product.

Atmospheric measurement techniquesVol. 19(1)
Goddard Space Flight Center (US), Smithsonian Astrophysical Observatory (US), Yonsei University (KR), Royal Belgian Institute for Space Aeronomy (BE), Kongju National University (KR), Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) (DE), Center for Astrophysics Harvard & Smithsonian (US), Pusan National University (KR), National Institute of Environmental Research (KR), University of Maryland, College Park (US), Pukyong National University (KR)
National Aeronautics and Space Administration, European Space Agency, National Research Foundation, Nuclear Safety and Security Commission, National Research Foundation of Korea, National Institute of Environmental Research
Openalex Percentile: Top 95%
Atmospheric Ozone and Climate
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