A global total column ozone climate data record

Bodeker, G. E.; Nitzbon, Jan; Tradowsky, Jordis S.; Kremser, Stefanie; Schwertheim, Alexander; Lewis, Jared

doi:10.5194/essd-13-3885-2021

Cited by 12 publications

(10 citation statements)

References 24 publications

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“…While ozone can change over the course of a day, these changes are too large to be realistic and are probably also due to clock errors. According to the NIWA-BS total column ozone global database [43], ozone amounts never exceed 340 DU at this site. The above archives are being updated accordingly.…”

Section: Spectrometer Datamentioning

confidence: 95%

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Relationship between ozone and biologically relevant UV at 4 NDACC sites

McKenzie

Liley

Kotkamp

et al. 2022

Photochem Photobiol Sci

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Clouds and aerosols, as well as overhead ozone, can have large effects on ultraviolet (UV) irradiances. We use statistical methods to remove cloud effects and mean aerosol effects from spectral UV irradiance measurements to investigate the relationship between UV and total column ozone. We show that for fixed solar zenith angles (SZA), seasonal changes in ozone lead to marked changes in clear-sky UV irradiances. Such effects are larger at mid-latitudes than in the tropics. At mid-latitudes, the minimum ozone amount over the course of a year can be about 50 percent of its maximum, with the lowest values in autumn and the highest values in spring. These seasonal ozone changes lead to UV Index (UVI) values in autumn that can exceed those in spring at the same SZA by nearly a factor of two. Differences are even larger for UV spectra weighted by the action spectra for DNA-damaging UV, and for cutaneous previtamin D production. In some cases, the seasonal increase exceeds a factor of 4. The analysis experimentally demonstrates the limits of applicability of the concept of constant Radiative Amplification Factors (RAFs) for estimating effects of changes in ozone for some weighting functions. Changes in DNA-weighted UV and erythemally weighted UV are well represented by the published RAFs. However, there are large SZA dependencies in the case of UVB and vitamin D-weighted UV. For all weightings considered, RAFs calculated from the observations as a function of SZA show similar dependencies between sites, in good agreement with published values, independently of the ozone data source. Graphical abstract

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Section: Spectrometer Datamentioning

confidence: 95%

“…2. Also included is the corresponding ozone time series for this site from the NIWA-BS data set [43].…”

Section: Spectrometer Datamentioning

confidence: 99%

Relationship between ozone and biologically relevant UV at 4 NDACC sites

McKenzie

Liley

Kotkamp

et al. 2022

Photochem Photobiol Sci

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“…We use observational data from the Bodeker Scientific Filled Total Column Ozone Database V3.5.2 (BS-TCO) . This database combines TCO data from multiple different satellite-based instruments at a resolution of 1.25° longitude by 1° latitude and spanning the period of October 31, 1978to December 31, 2019and Bodeker, Nitzbon, et al (2021 use a machine learning approach to account for missing data, which is especially important for this paper as we make use of the polar regions. See Bodeker, Nitzbon, et al (2021) for more information.…”

Section: Observations and Model Datamentioning

confidence: 99%

“…Bodeker, Kremser, & Tradowsky, 2021 and Bodeker, Nitzbon, et al. ( 2021 ) use a machine learning approach to account for missing data, which is especially important for this paper as we make use of the polar regions. See Bodeker, Nitzbon, et al.…”

Section: Observations and Model Datamentioning

confidence: 99%

On Recent Large Antarctic Ozone Holes and Ozone Recovery Metrics

Stone

Solomon

Kinnison

et al. 2021

Geophysical Research Letters

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Indeed, Solomon et al. (2016) showed through the use of a chemistry climate model that Antarctic ozone depletion during September has begun to recover. Additionally, Kuttippurath et al. (2018) showed a reduced frequency of ozone loss saturation between 13 and 21 km. However, detecting recovery in observations can be hampered by a combination of large variability and limited years over the recovery period, that is, since

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“…Gaps are present in these datasets, originating from gaps in the records of individual instruments, due to the finite lifetimes of instruments, difficulty of measuring during polar night (Bowman and Krueger, 1985;Randel and Wu, 1999) as well as funding concerns, leading to an incomplete picture of atmospheric ozone that is particularly prevalent over polar regions (Bodeker et al, 2020). Several statistical infilling methods have been developed to address these observational gaps creating spatially and temporally complete ozone datasets (e.g., Bodeker et al, 2013;Davis et al, 2016) for use as continuous climatologies and for the running of climate models which do not simulate chemistry.…”

Section: Introductionmentioning

confidence: 99%

A continuous vertically resolved ozone dataset from the fusion of chemistry climate models with observations using a Bayesian neural network

Amos¹,

Sengupta²,

Young³

et al. 2021

Preprint

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Continuous historic datasets of vertically resolved stratospheric ozone, support the case for ozone recovery, are necessary for the running of offline models and increase understanding of the impacts of ozone on the wider atmospheric system. Vertically resolved ozone datasets are typically constructed from multiple satellite, sonde and ground-based measurements that do not provide continuous coverage. As a result, several methods have been used to infill these gaps, most commonly relying on regression against observed time series. However, these existing methods either provide low accuracy infilling especially over polar regions, unphysical extrapolation, or an incomplete estimation of uncertainty. To address these methodological shortcomings we used and further developed an infilling framework that fuses observations with output from an ensemble of chemistry-climate models within a Bayesian neural network. We used this deep learning framework to produce a continuous record of vertically resolved ozone with uncertainty estimates. Under rigorous testing the infilling framework extrapolated and interpolated skillfully and maintained realistic interannual variability due to the inclusion of physically and chemically realistic models. This framework and the ozone dataset it produced, enables a more thorough investigation of vertically resolved trends throughout the atmosphere.

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A global total column ozone climate data record

Cited by 12 publications

References 24 publications

Relationship between ozone and biologically relevant UV at 4 NDACC sites

Relationship between ozone and biologically relevant UV at 4 NDACC sites

On Recent Large Antarctic Ozone Holes and Ozone Recovery Metrics

A continuous vertically resolved ozone dataset from the fusion of chemistry climate models with observations using a Bayesian neural network

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