2012
DOI: 10.5194/acpd-12-21615-2012
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Pre-industrial to end 21st century projections of tropospheric ozone from the Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP)

Abstract: Present day tropospheric ozone and its changes between 1850 and 2100 are considered, analysing 15 global models that participated in the Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP). The multi-model mean compares well against present day observations. The seasonal cycle correlates well, except for some locations in the tropical upper troposphere. Most (75%) of the models are encompassed with a range of global mean tropospheric ozone column estimates from satellite data, althoug… Show more

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Cited by 151 publications
(298 citation statements)
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“…This has important implications for current crop production considering that ground-level [O 3 ] during the Northern Hemisphere growing seasons frequently exceed 40 ppb (4), the threshold concentration for a cumulative exposure index used in Europe, as well as the concentration above which prolonged exposure leads to significant crop yield loss (5,6). Globally, [O 3 ] is projected to increase over this century if current high emissions continue (7). Although crop loss from O 3 has been estimated by extrapolating from experimental data to field conditions (8), until recently it has not been possible to quantitatively define crop loss due to O 3 pollution from actual yield data across the major US growing region.…”
mentioning
confidence: 99%
“…This has important implications for current crop production considering that ground-level [O 3 ] during the Northern Hemisphere growing seasons frequently exceed 40 ppb (4), the threshold concentration for a cumulative exposure index used in Europe, as well as the concentration above which prolonged exposure leads to significant crop yield loss (5,6). Globally, [O 3 ] is projected to increase over this century if current high emissions continue (7). Although crop loss from O 3 has been estimated by extrapolating from experimental data to field conditions (8), until recently it has not been possible to quantitatively define crop loss due to O 3 pollution from actual yield data across the major US growing region.…”
mentioning
confidence: 99%
“…In fact, Table 2, which gives the column ozone changes separated into stratospheric and tropospheric components, shows near cancelation of the stratospheric decrease and tropospheric increase in the global average total column, giving a net change of only -1.8 DU. Note that the PI to PD increase in the global average tropospheric column of 8.1 DU is equivalent to 88 Tg O3, which is quite close to the multimodel mean increase in tropospheric ozone between 1850 and 2000 found in ACCMIP of 98 Tg O3 [Young et al, 2013]. While the net change in column ozone is near zero in the global average, there are important hemispheric differences.…”
Section: Ozone Changes Since Preindustrial Timesmentioning
confidence: 59%
“…The extension of the chemistry into the troposphere has been a more recent addition to CMAM. Results from the CMAM version used here have been submitted to the Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP) and were found to compare well against the observations and fall well within the distribution of participating models for present-day (PD) and preindustrial (PI) conditions [Young et al, 2013]. Plots comparing zonal mean monthly climatologies of simulated present-day total and tropospheric column ozone with TOMS/SBUV and OMI-MLS TCO satellite retrievals, respectively, are presented in the supporting information.…”
Section: Model Description and Validationmentioning
confidence: 99%
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“…The Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP) was a multi-model initiative conducted to 5 investigate the atmospheric abundance of key climate forcing agents, including tropospheric ozone, and their change over time (e.g., Young et al, 2013;Stevenson et al, 2013;Lamarque et al, 2013). For our purposes, we use the ACCMIP climate model data as an example of a typical multi-model ensemble on which to perform the clustering.…”
Section: Overview Of Accmip Datasetsmentioning
confidence: 99%