1.Center for Monsoon System Research, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100190, China 2.University of Chinese Academy of Sciences, Beijing 100049, China 3.Key Laboratory of Middle Atmosphere and Global Environment Observation, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100190, China 4.Russian State Hydrometeorological University, Malookhtinskii pr. 98, St. Petersburg 195196, Russia 5.Institute of Numerical Mathematics, Russian Academy of Sciences, ul.Gubkina 8, Moscow 11999, Russia Manuscript received: 2018-11-12 Manuscript revised: 2019-04-16 Manuscript accepted: 2019-04-30 Abstract:With the gradual yet unequivocal phasing out of ozone depleting substances (ODSs), the environmental crisis caused by the discovery of an ozone hole over the Antarctic has lessened in severity and a promising recovery of the ozone layer is predicted in this century. However, strong volcanic activity can also cause ozone depletion that might be severe enough to threaten the existence of life on Earth. In this study, a transport model and a coupled chemistry-climate model were used to simulate the impacts of super volcanoes on ozone depletion. The volcanic eruptions in the experiments were the 1991 Mount Pinatubo eruption and a 100× Pinatubo size eruption. The results show that the percentage of global mean total column ozone depletion in the 2050 RCP8.5 100× Pinatubo scenario is approximately 6% compared to two years before the eruption and 6.4% in tropics. An identical simulation, 100× Pinatubo eruption only with natural source ODSs, produces an ozone depletion of 2.5% compared to two years before the eruption, and with 4.4% loss in the tropics. Based on the model results, the reduced ODSs and stratospheric cooling lighten the ozone depletion after super volcanic eruption. Keywords: stratospheric ozone, volcanic eruptions, stratospheric aerosols, chemistry-climate model 摘要:随着平流层中臭氧损耗物质(ODSs)的不断清除,由南极上空臭氧空洞的发现所引发的环境危机正在减轻,并且臭氧层也在逐渐恢复。然而,强火山活动同样会造成严重的臭氧损耗,从而威胁地球上的生命。在本研究中,利用了一个大气输送模式和一个化学气候模式,来模拟超级火山爆发后造成的臭氧损耗。模拟的火山事件为1991年的皮纳图博(Pinatubo)火山以及一个100×Pinatubo级别的火山。结果表明,在2050 RCP8.5 100×Pinatubo情形下,全球平均臭氧损耗和爆发前两年相比大约为6%,赤道地区为6.4%。而一个理想情形,即100×Pinatubo在自然源ODSs全部清除,只剩自然源的背景下爆发后,全球平均臭氧损耗和爆发前两年相比为2.5%,赤道地区为4.4%。根据模式结果,ODSs含量的下降以及平流层降温能够减轻超级火山爆发后造成的臭氧损耗。 关键词:平流层臭氧, 火山爆发, 平流层气溶胶, 化学气候模式
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2.1. Model description
Two models were used in this research. One was the highly scalable Massive-Parallel Trajectory Calculations (MPTRAC), in which air parcel trajectories are calculated based on numerical integration using the wind field from global meteorological reanalysis (Hoffmann et al., 2016; R??ler et al., 2018). Diffusion is modeled by uncorrelated Gaussian random displacements of the air parcels with zero mean and standard deviations, $\sigma_x=\sqrt{D_x \Delta t}$ (horizontally) and $\sigma_z=\sqrt{D_z \Delta t}$ (vertically), where Dx and Dz are the horizontal and vertical diffusivities, respectively, and ? t is the time step for the trajectory calculations. Depending on the atmospheric conditions, actual values of Dx and Dz may vary by several orders of magnitude (e.g., Legras et al., 2003, Legras et al., 2005; Pisso et al., 2009). In our simulations, we followed the approach of (Stohl et al., 2005) and set Dx and Dz to 50 and 0 m2 s-1 in the troposphere, and 0 and 0.1 m2 s-1 in the stratosphere, respectively. A constant half lifetime of seven days was assumed for SO2 for the stratosphere, and 2.5 days was assumed for the troposphere. More detailed information about the MPTRAC model can be found in (Wu et al., 2018) and (Wu et al., 2017). A three-dimensional chemistry-climate model (CCM) developed at the Russian State Hydrometeorological University (RSHMU) was also used in this study. The model includes two important modules: a dynamic module developed at the Institute of Numerical Mathematics of the Russian Academy of Sciences, and a photochemical module developed at the RSHMU. The model resolution is 5°× 4° in longitude and latitude, with 39 sigma levels vertically from the Earth's surface up to 0.003 hPa. The time step is 12 min, and the time integration is conducted by a central-difference scheme combined with a semi-implicit scheme (gravity waves are treated implicitly). In the dynamic module, the equations of atmospheric thermohydrodynamics are solved by the finite-difference method on a C grid. The model also incorporates parametrizations of deep and shallow convection (Betts, 1986) and orographic (Palmer et al., 1986) and nonorographic gravity-wave (Hines, 1997) resistance. The chemical module incorporates 74 basic atmospheric gas constituents directly or indirectly influencing the rates of photochemical changes in ozone. The model takes into account reactions of the oxygen, hydrogen, nitrogen, Cl, Br, and sulfur cycles, which makes it possible to treat the influence of chemical processes on the formation and evolution of not only ozone and its related gases but also atmospheric sulfate aerosols. The rates of chemical reactions are based on the JPL-2003 (Sander et al., 2003). The photolysis rates are calculated using the modified Delta-Eddington method (Dvortsov et al., 1992). Oxygen, nitrogen, Cl and Br families are considered and hydrogen species are calculated separately. Halogens (especially Cl and Br) play important roles in the destruction of stratospheric ozone (McCormick et al., 1995; Bobrowski et al., 2003; Cadoux et al., 2015). Recent model and observational studies all suggest significantly high ozone depletion with different halogen yields (Hunton et al., 2005; Cadoux et al., 2015; Klobas et al., 2017; Lurton et al., 2018). Therefore, halogens should be carefully considered after volcanic eruptions. All modeled species are transported independently, with a correction at each time step to conserve mass within families. Boundary emissions are taken from the World Meteorological Organization (WMO)/United Nations Environment Programme (WMO, 2007). Water vapor is specified in the troposphere according to its climatological values. Above the tropopause, water vapor is calculated like all other species, with supersaturation control. The model calculates photochemical production and destruction rates based on the adopted scheme of chemical and photolytic reactions, thus facilitating changes in the photochemical mechanisms. Parameterizations of heterogeneous chemistry on the surfaces of stratospheric sulfate aerosol and PSCs are employed in the model, including Br reactions, which can also play a significant role in stratospheric chemistry. Comparisons were made between the model calculations and observations on the ozone content and temperature by (Galin et al., 2007), and heterogeneous processes on the surface of PSCs were shown to be important for correct simulation of the spatial and temporal distribution of atmospheric ozone. (Smyshlyaev et al., 2010) also conducted model experiments on the evolution of the gas and aerosol compositions of the Arctic and Antarctic atmospheres. A detailed introduction to the parameterization of heterogeneous processes and the model can be found in (Smyshlyaev et al., 1998) and (Galin et al., 2007). The variable describing volcanic aerosols in our model is the SAD taken from the CMIP6 Stratospheric Aerosol Data Set for the historical simulation. For the period of 1979-2014, SAD data were based on satellite data from SAGE, SAM, SAGE II, CALIPSO and OSIRIS. Furthermore, CLAES satellite data were used for gap-filling of missing data for the period several months after the Pinatubo eruption. The data are monthly and zonal means averaged in latitudinal bands of five degrees. Data are provided as three-dimensional (time, altitude and latitude) arrays between 90°S and 90°N and from 5 km to 39.5 km at a resolution of 0.5 km. Figure 1 shows the global mean SAD of the CMIP6 Stratospheric Aerosol Data Set. The two eruptions of Mount El Chichón and Mount Pinatubo are clearly reflected in the SAD. For more detailed information about the SAD data, readers are referred to the CMIP6 website (http://www.wcrp-climate.org/wgcm-cmip/wgcm-cmip6). Figure1. Time-height sections of the global mean SAD (units: cm2 cm-3).
2 2.2. Data -->
2.2. Data
The primary dataset used in this study is ERA-Interim, which includes ozone, temperature, wind and SST data (Dee and Uppala, 2009). The ERA-Interim ozone data were used to compare the model's ability to reproduce the variability of ozone after volcanic eruptions. Since ENSO and the QBO have strong influences on ozone, linear regression was applied to remove the ENSO and QBO signals from the reanalysis data (Free and Lanzante, 2009). For the QBO index, the equatorial zonal mean zonal wind at 50 hPa was used, as in previous studies (Holton and Tan, 1980; Hamilton, 1993; Chen and Li, 2007; Wei et al., 2007). For ENSO, the Ni?o3.4 index was adopted, which is the average SST anomaly in the region bounded by 5°N to 5°S, from 170°W to 120°W. The ENSO index has a four-month lead time, which gives the best correlation for each level (Free and Angell, 2002; Lean and Rind, 2009).
2 2.3. Experimental setup and methodology -->
2.3. Experimental setup and methodology
Two model runs were conducted using the MPTRAC model: a Pinatubo size run and a 100-times Pinatubo (100× Pinatubo) size run. For the Pinatubo size experiment, 1.7× 1011 kg of SO2 was injected in 100 000 air masses, each containing 170 000 kg of SO2, ranging from 1.5 to 25 km, centered at (15.13°N, 120.35°E) of Pinatubo's location, and distributed homogeneously within a radius of 30 km. For the 100× Pinatubo size experiment, 1.7× 1013 kg of SO2 was injected, ranging from 1.5 to 50 km, with the same distribution as the Pinatubo size experiment, but up to 50 km. The 100× Pinatubo experiment could be used to simulate a VEI-8 super volcanic eruption. The two experiments conducted using the MPTRAC model are summarized in Table 1. Based on these model outputs, the global sulfur aerosol distribution under different SO2 loading scenarios could be analyzed. In order to build the connections between the sulfur aerosol distribution and SADs, linear regression was adopted to construct the SADs for the 100× Pinatubo size eruption. The sulfur aerosol distribution at 30 hPa in the Pinatubo size eruption simulated by the MPTRAC model was used to regress the real SADs of the Pinatubo eruption from the CMIP6 datasets (we also used other levels of sulfur aerosol data, and the results did not show large differences). Thus, a linear regression between the SADs and sulfur aerosol was established, and then the SADs of the 100× Pinatubo eruption could be constructed for the simulations of the CCM. Figure 2 shows the constructed SADs for the 100× Pinatubo size eruption. Figure2. Constructed SADs for the 100× Pinatubo size eruption (units: cm2 cm-3).
We then performed four model experiments with the CCM. First, a basic run, utilizing all aspects of the model, with prescribed SAD from 1979 to 1999, was used to simulate the Mount Pinatubo eruption in June 1991. Then, to isolate the effects of volcanic aerosols, a fixed run was carried out with the SAD fixed at the 1979 level, which was considered as a baseline. The fixed run also started in 1979 and ended in 1999. As (Klobas et al., 2017) suggested, the response of the stratospheric ozone layer to enhanced aerosol loading is both a function of equivalent effective stratospheric chlorine (EESC) and stratospheric temperature. Meanwhile, model studies show that EESC is likely to decline rapidly (Engel et al., 2018) and the stratospheric temperature is likely to cool (Randel et al., 2016) in the near future. Thus, in order to simulate the stratospheric ozone layer response to a super volcanic eruption, two more model runs were performed with the Community Earth System Model (CESM) SST output of RCP8.5 2040-60 future simulations and future ODSs suggested by WMO (2007). The CESM SST output of RCP8.5 2040-60 was used to reproduce a colder stratosphere, and the 2050 100× Pinatubo experiment was set to erupt in June 2050 with approximately half the ODSs compared to the 1990s level. The background 100× Pinatubo experiment was incorporated with all anthropogenic ODSs (such as CFCs, CH3CCl3, CHClF2, C2H3FCl2, C2H3F2Cl, C2HF3Cl2, CF2ClBr and CF3Br) having disappeared and the remaining ODSs produced by natural processes only [mainly CH3Br (~7 ppbv) and CH3Cl (~483 ppbv)]. All the CCM model runs are listed in Table 2. Two different methods were adopted to analyze the effects of volcanic aerosols on stratospheric ozone: Method A used two years before the eruption as the baseline and determined two years after the eruption minus the baseline as the effects of volcanic aerosols (Free and Lanzante, 2009). This method was applied to both the model results and the reanalysis data. (Stenchikov et al., 2006) used a longer base period (six years for El Chichón and Mount Pinatubo), and (Lanzante, 2007) used two to four years, while (Santer et al., 2001) used just four to twelve months before the eruption as the baseline. We obtained similar results if other time slices were adopted, such as one or four years before and after the eruption (results not shown). Method B used the fixed run as the reference and determined the basic run results minus the fixed run results. Since the fixed run did not contain any SAD variations, it represented normal conditions with no volcanic aerosols. Method B only applied to model runs.