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The representation of solar cycle signals in stratospheric ozone – Part?2: Analysis of global models

机译:平流层臭氧中太阳循环信号的表示 - 部分?2:全球模型分析

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The impact of changes in incoming solar irradiance on stratospheric ozone abundances should be included in climate simulations to aid in capturing the atmospheric response to solar cycle variability. This study presents the first systematic comparison of the representation of the 11-year solar cycle ozone response (SOR) in chemistry–climate models (CCMs) and in pre-calculated ozone databases specified in climate models that do not include chemistry, with a?special focus on comparing the recommended protocols for the Coupled Model Intercomparison Project Phase 5 and Phase 6 (CMIP5 and CMIP6). We analyse the SOR in eight CCMs from the Chemistry–Climate Model Initiative (CCMI-1) and compare these with results from three ozone databases for climate models: the Bodeker Scientific ozone database, the SPARC/Atmospheric Chemistry and Climate (ACC) ozone database for CMIP5 and the SPARC/CCMI ozone database for CMIP6. The peak amplitude of the annual mean SOR in the tropical upper stratosphere (1–5hPa) decreases by more than a?factor of 2, from around 5 to 2%, between the CMIP5 and CMIP6 ozone databases. This substantial decrease can be traced to the CMIP5 ozone database being constructed from a?regression model fit to satellite and ozonesonde measurements, while the CMIP6 database is constructed from CCM simulations. The SOR in the CMIP6 ozone database therefore implicitly resembles the SOR in the CCMI-1 models. The structure in latitude of the SOR in the CMIP6 ozone database and CCMI-1 models is considerably smoother than in the CMIP5 database, which shows unrealistic sharp gradients in the SOR across the middle latitudes owing to the paucity of long-term ozone measurements in polar regions. The SORs in the CMIP6 ozone database and the CCMI-1 models show a?seasonal dependence with enhanced meridional gradients at mid- to high latitudes in the winter hemisphere. The CMIP5 ozone database does not account for seasonal variations in the SOR, which is unrealistic. Sensitivity experiments with a?global atmospheric model without chemistry (ECHAM6.3) are performed to assess the atmospheric impacts of changes in the representation of the SOR and solar spectral irradiance (SSI) forcing between CMIP5 and CMIP6. The larger amplitude of the SOR in the CMIP5 ozone database compared to CMIP6 causes a?likely overestimation of the modelled tropical stratospheric temperature response between 11-year solar cycle minimum and maximum by up to 0.55K, or around 80% of the total amplitude. This effect is substantially larger than the change in temperature response due to differences in SSI forcing between CMIP5 and CMIP6. The results emphasize the importance of adequately representing the SOR in global models to capture the impact of the 11-year solar cycle on the atmosphere. Since a?number of limitations in the representation of the SOR in the CMIP5 ozone database have been identified, we recommend that CMIP6 models without chemistry use the CMIP6 ozone database and the CMIP6 SSI dataset to better capture the climate impacts of solar variability. The SOR coefficients from the CMIP6 ozone database are published with this paper.
机译:在气候模拟中应包括在平衡层臭氧丰度对平流层臭氧丰度的影响,以帮助捕捉到太阳循环变异性的大气反应。本研究提出了在化学 - 气候模型(CCMS)中的11年太阳循环臭氧响应(SOR)的代表和在气候模型中规定的预先计算的臭氧数据库中的第一次系统比较,不包括化学,其中包含?特别关注比较耦合型号互通项目阶段5和第6阶段(CMIP5和CMIP6)的推荐协议。从化学 - 气候模型计划(CCMI-1)中,将SOR分析到八个CCM中,并将这些结果与三个臭氧数据库的结果进行比较:Bodeker Scientific臭氧数据库,SPARC /大气化学和气候(ACC)臭氧数据库对于CMIP5和CMIP6的SPARC / CCMI臭氧数据库。在CMIP5和CMIP6臭氧数据库之间,热带上层平流层(1-5HPA)中的年平均SOR在热带上层(1-5HPA)中的峰值幅度减少了大约5至2%。这种实质性降低可以追溯到CMIP5臭氧数据库被从卫星和臭氧地区的拟合构成的CMIP5臭氧数据库,而CMIP6数据库是由CCM仿真构成的。 CMIP6臭氧数据库中的SOR在CCMI-1型号中隐含地类似于SOR。 CMIP6臭氧数据库和CCMI-1模型中的SOR纬度的结构比CMIP5数据库相当更平滑,这在中间纬度地区的SOR中显示出不切实际的尖锐渐变,因为由于极性的长期臭氧测量的缺乏缺乏地区。 CMIP6臭氧数据库中的SORS和CCMI-1模型显示了冬季半球中的增强的子午线梯度的季节依赖。 CMIP5臭氧数据库不考虑SOR的季节变化,这是不现实的。敏感性实验与无化学体(ECHAM6.3)的全局大气模型(ECHAM6.3)进行评估,评估SOR和太阳光谱辐照度(SSI)表示的变化的大气影响(SSI)强制在CMIP5和CMIP6之间强制。与CMIP6相比,CMIP5臭氧数据库中的SOR的较大幅度会导致a?可能会高估11年的太阳循环最小和最高0.55k的建模的热带地流层温度响应,或大约80%的总幅度。由于CMIP5和CMIP6之间的SSI差异,这种效果基本上大于温度响应的变化。结果强调了充分代表全球模型中SOR的重要性,以捕获11年太阳循环对大气层的影响。由于识别了CMIP5臭氧数据库中SOR表示的限制数,我们建议使用CMIP6臭氧数据库和CMIP6 SSI数据集的CMIP6型号,以更好地捕捉太阳能变异性的气候影响。 CMIP6臭氧数据库的SOR系数用本文发布。
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