Abstract

Abstract. Constraints from ozone (O3) observations over oceans are needed in addition to those from terrestrial regions to fully understand global tropospheric chemistry and its impact on the climate. Here, we provide a large data set of ozone and carbon monoxide (CO) levels observed (for 11 666 and 10 681 h, respectively) over oceans. The data set is derived from observations made during 24 research cruise legs of R/V Mirai during 2012 to 2017, in the Southern, Indian, Pacific, and Arctic oceans, covering the region from 67∘ S to 75∘ N. The data are suitable for critical evaluation of the over-ocean distribution of ozone derived from global atmospheric chemistry models. We first give an overview of the statistics in the data set and highlight key features in terms of geographical distribution and air mass type. We then use the data set to evaluate ozone mixing ratio fields from the tropospheric chemistry reanalysis version 2 (TCR-2), produced by assimilating a suite of satellite observations of multiple species into a global atmospheric chemistry model, namely CHASER. For long-range transport of polluted air masses from continents to the oceans, during which the effects of forest fires and fossil fuel combustion were recognized, TCR-2 gave an excellent performance in reproducing the observed temporal variations and photochemical buildup of O3 when assessed from ΔO3∕ΔCO ratios. For clean marine conditions with low and stable CO mixing ratios, two focused analyses were performed. The first was in the Arctic (> 70∘ N) in September every year from 2013 to 2016; TCR-2 underpredicted O3 levels by 6.7 ppbv (21 %) on average. The observed vertical profiles from O3 soundings from R/V Mirai during September 2014 had less steep vertical gradients at low altitudes (> 850 hPa) than those obtained by TCR-2. This suggests the possibility of a more efficient descent of the O3-rich air from above than assumed in the models. For TCR-2 (CHASER), dry deposition on the Arctic ocean surface might also have been overestimated. In the second analysis, over the western Pacific equatorial region (125–165∘ E, 10∘ S to 25∘ N), the observed O3 level more frequently decreased to less than 10 ppbv in comparison to that obtained with TCR-2 and also those obtained in most of the Atmospheric Chemistry Climate Model Intercomparison Project (ACCMIP) model runs for the decade from 2000. These results imply loss processes that are unaccounted for in the models. We found that the model's positive bias positively correlated with the daytime residence times of air masses over a particular grid, namely 165–180∘ E and 15–30∘ N; an additional loss rate of 0.25 ppbv h−1 in the grid best explained the gap. Halogen chemistry, which is commonly omitted from currently used models, might be active in this region and could have contributed to additional losses. Our open data set covering wide ocean regions is complementary to the Tropospheric Ozone Assessment Report data set, which basically comprises ground-based observations and enables a fully global study of the behavior of O3.

Highlights

  • The global burden and distribution of tropospheric ozone (O3) have changed from preindustrial times to the present, and have induced a radiative forcing of +0.4 ± 0.2 W m−2 (IPCC, 2013) by interactions with the Earth’s radiative field

  • Values lower than 10 ppbv were recorded for a total of 800 h; this will be discussed

  • We compiled a large data set of shipborne in situ observations of O3 and carbon monoxide (CO) levels with a 1 h resolution, which were recorded on R/V Mirai over the Arctic, Bering, Pacific, Indian, and Southern oceans from 67◦ S to 75◦ N, during the period 2012 to 2017

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Summary

Introduction

The global burden and distribution of tropospheric ozone (O3) have changed from preindustrial times to the present, and have induced a radiative forcing of +0.4 ± 0.2 W m−2 (IPCC, 2013) by interactions with the Earth’s radiative field. Changes in atmospheric chemistry and their impacts on the climate are often investigated by using O3 distributions derived from global atmospheric chemistry model simulations. The model performance determines the accuracy of the assessment, requiring model evaluation against field observations of levels of O3 and its precursors. The models included in the Atmospheric Chemistry Climate Model Intercomparison Project (ACCMIP; Shindell et al, 2011; Lamarque et al, 2013) and the Chemistry–Climate Model Initiative (CCMI; Morgenstein et al, 2017) were carefully evaluated against field observations (e.g., Tilmes et al, 2016). An unprecedented comprehensive data set of O3 measurements was systematically compiled under a community-wide activity, i.e., the Tropospheric Ozone Assessment Report (TOAR) (Cooper et al, 2014; Schultz et al, 2017; Gaudel et al, 2018), and this provided additional constraints for model simulations

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