首页> 外文期刊>Atmospheric Chemistry and Physics Discussions >An AeroCom assessment of black carbon in Arctic snow and sea ice
【24h】

An AeroCom assessment of black carbon in Arctic snow and sea ice

机译:北极雪和海冰中黑碳的气管评估

获取原文
           

摘要

Though many global aerosols models prognose surface deposition, only a few models have been used to directly simulate the radiative effect from black carbon (BC) deposition to snow and sea ice. Here, we apply aerosol deposition fields from 25 models contributing to two phases of the Aerosol Comparisons between Observations and Models (AeroCom) project to simulate and evaluate within-snow BC concentrations and radiative effect in the Arctic. We accomplish this by driving the offline land and sea ice components of the Community Earth System Model with different deposition fields and meteorological conditions from 2004 to 2009, during which an extensive field campaign of BC measurements in Arctic snow occurred. We find that models generally underestimate BC concentrations in snow in northern Russia and Norway, while overestimating BC amounts elsewhere in the Arctic. Although simulated BC distributions in snow are poorly correlated with measurements, mean values are reasonable. The multi-model mean (range) bias in BC concentrations, sampled over the same grid cells, snow depths, and months of measurements, are ?4.4 (?13.2 to +10.7) ng g1 for an earlier phase of AeroCom models (phase I), and +4.1 (?13.0 to +21.4) ng g1 for a more recent phase of AeroCom models (phase II), compared to the observational mean of 19.2 ng g1. Factors determining model BC concentrations in Arctic snow include Arctic BC emissions, transport of extra-Arctic aerosols, precipitation, deposition efficiency of aerosols within the Arctic, and meltwater removal of particles in snow. Sensitivity studies show that the model–measurement evaluation is only weakly affected by meltwater scavenging efficiency because most measurements were conducted in non-melting snow. The Arctic (60–90 N) atmospheric residence time for BC in phase II models ranges from 3.7 to 23.2 days, implying large inter-model variation in local BC deposition efficiency. Combined with the fact that most Arctic BC deposition originates from extra-Arctic emissions, these results suggest that aerosol removal processes are a leading source of variation in model performance. The multi-model mean (full range) of Arctic radiative effect from BC in snow is 0.15 (0.07–0.25) W m2 and 0.18 (0.06–0.28) W m2 in phase I and phase II models, respectively. After correcting for model biases relative to observed BC concentrations in different regions of the Arctic, we obtain a multi-model mean Arctic radiative effect of 0.17 W m2 for the combined AeroCom ensembles. Finally, there is a high correlation between modeled BC concentrations sampled over the observational sites and the Arctic as a whole, indicating that the field campaign provided a reasonable sample of the Arctic.
机译:虽然许多全球气溶胶模型预测表面沉积,但仅用于直接模拟从黑碳(BC)沉积到雪和海冰的辐射效果。在这里,我们将气溶胶沉积场从25种型号涂抹于观测和模型(Aerocom)项目之间的气溶胶比较两阶段,以模拟和评估在北极地区的雪地间BC浓度和辐射效果。我们通过从2004年至2009年的不同沉积场和气象条件驾驶社区地球系统模型的离线土地和海冰组件来实现这一目标,在此期间,北极雪中的BC测量的广泛场地运动。我们发现模型一般低估了俄罗斯北部和挪威的雪中的BC集中,同时高估了北极其他地方的BC量。虽然雪中的模拟BC分布与测量不良,但平均值是合理的。 BC浓度下的多模型平均值(范围)偏置,在相同的网格细胞,雪深和数月的测量中进行采样,是aurocom模型的早期阶段的4.4(?13.2至+10.7)ng g1(I相)和+4.1(α13.0至+21.4)NG G1,用于更新的Aerocom模型(II期)(II期),与19.2 Ng G1的观察平均值相比。确定北极雪中BC浓度的因素包括北极公共排放,北极地区的超北极气溶胶,沉淀,气溶胶沉积效率,融化雪中颗粒的熔融移除。敏感性研究表明,模型 - 测量评估仅受熔融疏水效率的弱影响,因为大多数测量是在非熔化的雪中进行的。 II期模型中BC的北极(60-90N)大气停留时间为3.7至23.2天,暗示本地BC沉积效率的大型模型间变化。结合大多数北极BC沉积源自北极排放的事实,这些结果表明气溶胶去除过程是模型性能变化的主要源。来自BC中BC中的北极辐射效果的多模型平均值(全系列)分别为0.15(0.07-0.25)W m 2和0.18(0.06-0.28)W m 2和II型模型。在抗震区的不同区域中观察到的BC浓度校正模型偏差之后,我们获得了0.17W M2的多模型平均抗动效果,用于组合的航空集体合并。最后,在观察位点和整体上采样的模型BC浓度之间存在高相关,表明场运动提供了北极的合理样本。
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号