Evaluation of ACCMIP outgoing longwave radiation from tropospheric ozone using TES satellite observations

Bowman, K. W.; Shindell, D. T.; Worden, H. M.; Lamarque, Jean‐François; Young, Paul; Stevenson, David S.; Qu, Zhen; Torre, Mayra de la; Bergmann, D.; Cameron-Smith, P. J.; Collins, William; Doherty, Ruth M.; Dalsøren, S. B.; Faluvegi, G.; Folberth, Gerd; Horowitz, Larry W.; Josse, B.; Lee, Y. H.; MacKenzie, Ian A.; Myhre, Gunnar; Nagashima, Tatsuya; Naik, Vaishali; Plummer, David A.; Rumbold, Steven T.; Skeie, Ragnhild Bieltvedt; Strode, Sarah A.; Sudo, Kengo; Szopa, Sophie; Voulgarakis, Apostolos; Zeng, Guang; Kulawik, S. S.; Aghedo, A. M.; Worden, J.

doi:10.5194/acp-13-4057-2013

Cited by 62 publications

(74 citation statements)

References 84 publications

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“…Bowman et al (2013) suggested that overestimation of the outgoing longwave radiation in the tropical seas of the east Atlantic Ocean and over southern Africa is associated with model ozone errors, a persistent feature in all ACCMIP models, which was also found in this study using the reanalysis. Validation of short-lived species is also important for evaluating the radiative forcing because simulated OH fields influence simulated climates through, for instance, their influences on methane .…”

Section: Implications Into Model Improvements and Climate Studiessupporting

confidence: 64%

“…A complete description of the models along with the experiment design can be found in Lamarque et al (2013). Both the ACCMIP models and chemical reanalysis are interpolated to a 2 • × 2.5 • spatial resolution and 67 levels, following Bowman et al (2013), and then compared with each other. Spatial correlations are computed with consideration of weighting for the latitude.…”

Section: Accmip Modelsmentioning

confidence: 99%

“…Representation of tropospheric ozone in chemical transport models (CTMs) and chemistryclimate models (CCMs) is also important in estimating its impact on the atmospheric radiative budget. A number of CTMs and CCMs have been developed and used to study variations in atmospheric environment and its impacts on climate (e.g., Bowman et al, 2013;Shindell et al, 2006Shindell et al, , 2013Stevenson et al, 2006Stevenson et al, , 2013Wild, 2007Young et al, 2013). However, current tropospheric ozone simulations still have large uncertainties because of the incomplete representation of model processes as well as the large uncertainty in precursor emissions.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of ACCMIP ozone simulations and ozonesonde sampling biases using a satellite-based multi-constituent chemical reanalysis

Miyazaki

Bowman

2017

Atmos. Chem. Phys.

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Abstract. The Atmospheric Chemistry Climate Model Intercomparison Project (ACCMIP) ensemble ozone simulations for the present day from the 2000 decade simulation results are evaluated by a state-of-the-art multi-constituent atmospheric chemical reanalysis that ingests multiple satellite data including the Tropospheric Emission Spectrometer (TES), the Microwave Limb Sounder (MLS), the Ozone Monitoring Instrument (OMI), and the Measurement of Pollution in the Troposphere (MOPITT) for [2005][2006][2007][2008][2009]. Validation of the chemical reanalysis against global ozonesondes shows good agreement throughout the free troposphere and lower stratosphere for both seasonal and year-to-year variations, with an annual mean bias of less than 0.9 ppb in the middle and upper troposphere at the tropics and midlatitudes. The reanalysis provides comprehensive spatiotemporal evaluation of chemistry-model performance that compliments direct ozonesonde comparisons, which are shown to suffer from significant sampling bias. The reanalysis reveals that the ACCMIP ensemble mean overestimates ozone in the northern extratropics by 6-11 ppb while underestimating by up to 18 ppb in the southern tropics over the Atlantic in the lower troposphere. Most models underestimate the spatial variability of the annual mean lower tropospheric concentrations in the extratropics of both hemispheres by up to 70 %. The ensemble mean also overestimates the seasonal amplitude by 25-70 % in the northern extratropics and overestimates the inter-hemispheric gradient by about 30 % in the lower and middle troposphere. A part of the discrepancies can be attributed to the 5-year reanalysis data for the decadal model simulations. However, these differences are less evident with the current sonde network. To estimate ozonesonde sampling biases, we computed model bias separately for global coverage and the ozonesonde network. The ozonesonde sampling bias in the evaluated model bias for the seasonal mean concentration relative to global coverage is 40-50 % over the western Pacific and east Indian Ocean and reaches 110 % over the equatorial Americas and up to 80 % for the global tropics. In contrast, the ozonesonde sampling bias is typically smaller than 30 % for the Arctic regions in the lower and middle troposphere. These systematic biases have implications for ozone radiative forcing and the response of chemistry to climate that can be further quantified as the satellite observational record extends to multiple decades.

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Section: Implications Into Model Improvements and Climate Studiessupporting

confidence: 64%

Section: Accmip Modelsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Evaluation of ACCMIP ozone simulations and ozonesonde sampling biases using a satellite-based multi-constituent chemical reanalysis

Miyazaki

Bowman

2017

Atmos. Chem. Phys.

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“…Following Bowman et al (2013) to avoid different results due to different tropopause definitions [ Stevenson et al, 2004], we define a chemical tropopause as the 150 ppb ozone isopleth, also used by Young et al, (2013) and Rap et al, (2015). Therefore, Z TP in Eq.…”

Section: Long Wave Radiative Effect (Lwre)mentioning

confidence: 99%

“…For example, Bowman et al (2013) used TES retrieved O 3 and IRKs to reduce the inter-model uncertainty of the preindustrial-to-present O 3 RF of the chemistry-climate models participating in the Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP) by 30%. Their study also suggested that the vertical TOA flux sensitivity to tropospheric O 3 is highly variable but is structurally consistent with atmospheric opacity, which determines on the amount of upwelling longwave radiation available for O 3 absorption (Lacis and …”

Section: Introductionmentioning

confidence: 99%

Hydrological controls on the tropospheric ozone greenhouse gas effect

Kuai¹,

Bowman

Worden

et al. 2017

Elementa: Science of the Anthropocene

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The influence of the hydrological cycle in the greenhouse gas (GHG) effect of tropospheric ozone (O 3 ) is quantified in terms of the O 3 longwave radiative effect (LWRE), which is defined as the net reduction of top-of-atmosphere flux due to total tropospheric O 3 absorption. The O 3 LWRE derived from the infrared spectral measurements by Aura's Tropospheric Emission Spectrometer (TES) show that the spatiotemporal variation of LWRE is relevant to relative humidity, surface temperature, and tropospheric O 3 column. The zonally averaged subtropical LWRE is ~0.2 W m -2 higher than the zonally averaged tropical LWRE, generally due to lower water vapor concentrations and less cloud coverage at the downward branch of the Hadley cell in the subtropics. ) is due to strong water vapor absorption and cloudiness, both of which reduce the tropospheric O 3 absorption in the longwave radiation. These results show that changes in the hydrological cycle due to climate change could affect the magnitude and distribution of ozone radiative forcing.

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The SPARC Data Initiative: Comparison of upper troposphere/lower stratosphere ozone climatologies from limb‐viewing instruments and the nadir‐viewing Tropospheric Emission Spectrometer

et al. 2014

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We present the first comprehensive intercomparison of currently available satellite ozone climatologies in the upper troposphere/lower stratosphere (UTLS) (300-70 hPa) as part of the Stratosphere-troposphere Processes and their Role in Climate (SPARC) Data Initiative. The Tropospheric Emission Spectrometer (TES) instrument is the only nadir-viewing instrument in this initiative, as well as the only instrument with a focus on tropospheric composition. We apply the TES observational operator to ozone climatologies from the more highly vertically resolved limb-viewing instruments. This minimizes the impact of differences in vertical resolution among the instruments and allows identification of systematic differences in the large-scale structure and variability of UTLS ozone. We find that the climatologies from most of the limb-viewing instruments show positive differences (ranging from 5 to 75%) with respect to TES in the tropical UTLS, and comparison to a "zonal mean" ozonesonde climatology indicates that these differences likely represent a positive bias for p ≤ 100 hPa. In the extratropics, there is good agreement among the climatologies regarding the timing and magnitude of the ozone seasonal cycle (differences in the peak-to-peak amplitude of <15%) when the TES observational operator is applied, as well as very consistent midlatitude interannual variability. The discrepancies in ozone temporal variability are larger in the tropics, with differences between the data sets of up to 55% in the seasonal cycle amplitude. However, the differences among the climatologies are everywhere much smaller than the range produced by current chemistry-climate models, indicating that the multiple-instrument ensemble is useful for quantitatively evaluating these models.

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Evaluation of ACCMIP outgoing longwave radiation from tropospheric ozone using TES satellite observations

Cited by 62 publications

References 84 publications

Evaluation of ACCMIP ozone simulations and ozonesonde sampling biases using a satellite-based multi-constituent chemical reanalysis

Evaluation of ACCMIP ozone simulations and ozonesonde sampling biases using a satellite-based multi-constituent chemical reanalysis

Hydrological controls on the tropospheric ozone greenhouse gas effect

The SPARC Data Initiative: Comparison of upper troposphere/lower stratosphere ozone climatologies from limb‐viewing instruments and the nadir‐viewing Tropospheric Emission Spectrometer

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