Drift-corrected Odin-OSIRIS ozone product: algorithm and updated stratospheric ozone trends

Bourassa, A. E.; Roth, Chris; Zawada, Daniel; Rieger, Landon; McLinden, Chris A.; Degenstein, D. A.

doi:10.5194/amt-11-489-2018

Cited by 47 publications

(43 citation statements)

References 25 publications

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“…Accordingly, we show in Figure a time series of near‐global ozone in the model upper stratosphere (~40 km) compared with observations. Figure a includes measurements of ozone at 40 km averaged over 55°N‐S, derived from merged SAGE II + OSIRIS satellite measurements during 1984–2015 (Bourassa et al, ) and also from the GOZCARDS data base (Froidevaux et al, ). The model shows good quantitative agreement with observations, highlighting decreases over circa 1979–1997 and (smaller) increases after circa 1998.…”

Section: Resultsmentioning

confidence: 99%

Troposphere‐Stratosphere Temperature Trends Derived From Satellite Data Compared With Ensemble Simulations From WACCM

Randel

Polvani

et al. 2017

JGR Atmospheres

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Decadal‐scale trends in tropospheric and stratospheric temperatures derived from satellite measurements over 1979–2014 are compared with ensemble simulations from the Whole Atmosphere Community Climate Model (WACCM). The model is forced with observed sea surface temperatures, changes in greenhouse gases, and ozone‐depleting substances, plus solar and volcanic effects, and results from five WACCM realizations (with slightly different initial conditions) are analyzed. We focus on the vertical structure of tropospheric warming and stratospheric cooling increasing with height, the latitudinal and seasonal dependence of trends, and on the temporal evolution of stratospheric temperatures in response to stratospheric ozone depletion and partial recovery. The model captures the observed trend structure in most respects, and the ensemble of simulations provides quantitative estimates of the impact of internal variability on trend estimates. In regions of low variability (e.g., over low latitudes) the ensemble mean trends agree with the observations, while in regions of high variability (e.g., the polar stratosphere) the observations mostly fall within the range of realizations. Temperature response to evolving stratospheric ozone is evaluated by computing separate trends over 1979–1997 (ozone depletion) and 1998–2014 (partial recovery). Robust changes in temperature trends between these periods occur in the global upper stratosphere and in the Antarctic spring lower stratosphere, with consistent behavior between model and observations. Observed lower stratospheric temperatures in the Antarctic show statistically significant warming after 1998, reflecting recently reported healing of the ozone hole.

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Section: Resultsmentioning

confidence: 99%

Troposphere‐Stratosphere Temperature Trends Derived From Satellite Data Compared With Ensemble Simulations From WACCM

Randel

Polvani

et al. 2017

JGR Atmospheres

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“…Currently, OSIRIS aerosol retrievals are processed using the version 5.07 algorithm and includes retrieval of NO 2 , aerosol extinction, and ozone (Degenstein et al, ). Since the release of version 5.07 a pointing adjustment to the instrument line of sight to correct a drift in the satellite attitude has been calculated, and this correction is also included in version 7 (Bourassa et al, ). This correction has important ramifications for long‐term ozone trends, but a smaller affect on aerosol profiles.…”

Section: Osiris Versionmentioning

confidence: 99%

A Multiwavelength Retrieval Approach for Improved OSIRIS Aerosol Extinction Retrievals

et al. 2019

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The Optical Spectrograph and InfraRed Imaging System (OSIRIS) on board the Odin satellite has been used to provide vertically resolved aerosol extinction since 2001. The OSIRIS version 5.07 aerosol product has been used in numerous studies and now provides a 17‐year record of global stratospheric aerosol. This work presents the new version 7 OSIRIS aerosol extinction retrieval. A multiwavelength aerosol extinction algorithm has been developed to reduce measurement geometry biases and improve extinction retrieval in the upper troposphere and lower stratosphere. The Chen et al. (2016, https://doi.org/10.5194/amt-9-1239-2016) cloud detection algorithm has been adapted for the OSIRIS wavelength range for improved cloud screening and polar stratospheric cloud detection, and comparisons after volcanic eruptions and with the CALIPSO‐GOCCP product show promising results. The version 7 product shows comparable agreement with version 5.07 when compared to coincident SAGE II and SAGE III measurements, and improved agreement with CALIPSO time series. The algorithm has been applied to the complete set of OSIRIS measurements, and the new data set is now publicly available.

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“…The World Climate Research Program (WCRP) Stratosphere-troposphere Process and their Role in Climate (SPARC) Long-term Ozone Trends and Uncertainties in the Stratosphere (LOTUS) activity recently assessed all available ozone composites and considered BASIC to be more robust to the effect of such outliers (Petropavlovskikh et al, 2019). We consider four BASIC composites; the dependencies of instruments and composites that form the BASIC composites are shown and referenced in Figure S1 ( Ball et al, 2018;Bourassa et al, 2017;Davis et al, 2016;Froidevaux et al, 2015;Frith et al, 2017;Petropavlovskikh et al, 2019;Sofieva et al, 2017). We consider four BASIC composites; the dependencies of instruments and composites that form the BASIC composites are shown and referenced in Figure S1 ( Ball et al, 2018;Bourassa et al, 2017;Davis et al, 2016;Froidevaux et al, 2015;Frith et al, 2017;Petropavlovskikh et al, 2019;Sofieva et al, 2017).…”

Section: Basic Observational Compositesmentioning

confidence: 99%

The Upper Stratospheric Solar Cycle Ozone Response

Ball¹,

Rozanov²,

Alsing

et al. 2019

Geophysical Research Letters

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The solar cycle (SC) stratospheric ozone response is thought to influence surface weather and climate. To understand the chain of processes and ensure climate models adequately represent them, it is important to detect and quantify an accurate SC ozone response from observations. Chemistry climate models (CCMs) and observations display a range of upper stratosphere (1–10 hPa) zonally averaged spatial responses; this and the recommended data set for comparison remains disputed. Recent data‐merging advancements have led to more robust observational data. Using these data, we show that the observed SC signal exhibits an upper stratosphere U‐shaped spatial structure with lobes emanating from the tropics (5–10 hPa) to high altitudes at midlatitudes (1–3 hPa). We confirm this using two independent chemistry climate models in specified dynamics mode and an idealized timeslice experiment. We recommend the BASICv2 ozone composite to best represent historical upper stratospheric solar variability, and that those based on SBUV alone should not be used.

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Drift-corrected Odin-OSIRIS ozone product: algorithm and updated stratospheric ozone trends

Cited by 47 publications

References 25 publications

Troposphere‐Stratosphere Temperature Trends Derived From Satellite Data Compared With Ensemble Simulations From WACCM

Troposphere‐Stratosphere Temperature Trends Derived From Satellite Data Compared With Ensemble Simulations From WACCM

A Multiwavelength Retrieval Approach for Improved OSIRIS Aerosol Extinction Retrievals

The Upper Stratospheric Solar Cycle Ozone Response

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