Black carbon in Arctic snow, observational data from 1998-2018

This dataset is an archive of observational data of black carbon in snow from 1998 to 2018 from 21 studies. It's purpose is to be a resource in aerosol and climate model verification efforts to help constrain the impact of light-absorbing particles, including black carbon, on snow and ice melt in the Arctic. The dataset includes surface and sub-surface concentrations of black carbon in Arctic snowpacks analyzed using the thermal optical, single-particle soot photometer, dissolved black carbon, and integrating sphere/integrating sandwich spectrophotometer methods, as well as other ancillary data, such as snow age, density, and snow grain size, as they were reported in their original papers. As smoke transport and deposition to the Arctic from wildfires becomes increasingly frequent and intense, model verification with ground observations is imperative to improve the understanding of the rapidly changing environment.

本数据集是1998年至2018年间21项研究的积雪黑碳（black carbon）观测数据汇编。本数据集旨在为气溶胶与气候模型验证工作提供支撑，助力约束包括黑碳在内的吸光性粒子对北极冰雪消融的影响。数据集涵盖北极积雪包内表层与次表层的黑碳浓度数据，这些数据通过热光法（thermal optical）、单颗粒黑碳光度计（single-particle soot photometer）、溶解态黑碳（dissolved black carbon）法以及积分球/积分夹层分光光度计（integrating sphere/integrating sandwich spectrophotometer）法分析测定，同时收录原始文献中报道的积雪年龄、密度、雪粒粒径等辅助观测数据。随着野火产生的烟雾向北极输送并沉降的事件愈发频繁且剧烈，借助地面观测开展模型验证，对于加深对快速变化的北极环境的认知至关重要。