首页> 外文期刊>Atmospheric Chemistry and Physics Discussions >The distribution of snow black carbon observed in the Arctic and compared to the GISS-PUCCINI model
【24h】

The distribution of snow black carbon observed in the Arctic and compared to the GISS-PUCCINI model

机译:在北极观察到的雪黑碳的分布,与甘锡模型相比

获取原文
           

摘要

In this study, we evaluate the ability of the latest NASA GISS composition-climate model, GISS-E2-PUCCINI, to simulate the spatial distribution of snow BC (sBC) in the Arctic relative to present-day observations. Radiative forcing due to BC deposition onto Arctic snow and sea ice is also estimated. Two sets of model simulations are analyzed, where meteorology is linearly relaxed towards National Centers for Environmental Prediction (NCEP) and towards NASA Modern Era Reanalysis for Research and Applications (MERRA) reanalyses. Results indicate that the modeled concentrations of sBC are comparable with present-day observations in and around the Arctic Ocean, except for apparent underestimation at a few sites in the Russian Arctic. That said, the model has some biases in its simulated spatial distribution of BC deposition to the Arctic. The simulations from the two model runs are roughly equal, indicating that discrepancies between model and observations come from other sources. Underestimation of biomass burning emissions in Northern Eurasia may be the main cause of the low biases in the Russian Arctic. Comparisons of modeled aerosol BC (aBC) with long-term surface observations at Barrow, Alert, Zeppelin and Nord stations show significant underestimation in winter and spring concentrations in the Arctic (most significant in Alaska), although the simulated seasonality of aBC has been greatly improved relative to earlier model versions. This is consistent with simulated biases in vertical profiles of aBC, with underestimation in the lower and middle troposphere but overestimation in the upper troposphere and lower stratosphere, suggesting that the wet removal processes in the current model may be too weak or that vertical transport is too rapid, although the simulated BC lifetime seems reasonable. The combination of observations and modeling provides a comprehensive distribution of sBC over the Arctic. On the basis of this distribution, we estimate the decrease in snow and sea ice albedo and the resulting radiative forcing. We suggest that the albedo reduction due to BC deposition presents significant space-time variations, with highest mean reductions of 1.25% in the Russian Arctic, which are much larger than those in other Arctic regions (0.39% to 0.64%). The averaged value over the Arctic north of 66 N is 0.4–0.6% during spring, leading to regional surface radiative forcings of 0.7, 1.1 and 1.0 W m?2 in spring 2007, 2008 and 2009, respectively.
机译:在这项研究中,我们评估了最新的NASA GISS组成 - 气候模型,甘地-E2-PUCCINI,模拟北极雪BC(SBC)的空间分布相对于当前观察的能力。还估计了由于BC沉积而导致的辐射强迫。分析了两套模型模拟,其中气象是对环境预测(NCEP)的国家中心线性放松,并朝向美国宇航局现代时代再分析研究和应用(Merra)Reanalyses。结果表明,SBC的模型浓度与北冰洋和周围的日期观察相当,除了俄罗斯北极的几个地点的明显低估。也就是说,该模型在其对北极的BC沉积的模拟空间分布中具有一些偏差。两个模型运行的模拟大致相等,表明模型和观察之间的差异来自其他来源。低估了欧亚北部北部的生物质燃烧排放可能是俄罗斯北极偏差的主要原因。 Barrow,Alert,Zeppelin和Nord站的长期表面观测模型的烟雾BC(ABC)的比较显示出在冬季和北极春季浓度的显着低估(阿拉斯加最重要的),尽管ABC的模拟季节性大大相对于早期模型版本改进。这与ABC的垂直曲线中的模拟偏差一致,低层和中间对流层低估但在上层和较低的平流层中高估,表明当前模型中的湿式去除过程也可能太弱或垂直运输也是如此快速,虽然模拟的BC寿命似乎是合理的。观察和建模的组合在北极方面提供了SBC的全面分布。在这种分布的基础上,我们估计雪和海冰冰块的减少和由此产生的辐射强制。我们建议由于BC沉积引起的反介质减少具有显着的时空变化,俄罗斯北极的最高平均减少1.25%,比其他北极地区(0.39%至0.64%)大得多。春季北极北部的平均值为0.4-0.6%,分别在2007年春季,2008年,2009年的区域辐射强制为0.7,1.1和1.0 W m?2。

著录项

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