摘要
为评估MERRA-2和TAP数据集在高原的适用性,基于珠峰、纳木错和瓦里关三站地面观测数据,验证两数据集大气黑碳(BC)的准确性.观测数据显示,纳木错站年均大气BC浓度最低(0.04μg/m^(3)),珠峰(0.26μg/m^(3))和瓦里关较高(0.28μg/m^(3)),呈现明显的冬春高、夏季低的季节模式.MERRA-2能较好捕捉大气BC季节和趋势特征;TAP在高原存在系统性高估,部分年份误差高达4倍,准确性低于MERRA-2.2021年3月南亚黑碳跨境输送事件中,MERRA-2再现能力较好,为明确南亚大气污染物向青藏高原跨境传输提供了直接科学证据.
To evaluate the applicability of the MERRA-2 and TAP datasets over the Plateau,ground-based observations from the Qomolangma,Nam Co,and Waliguan stations were utilized to validate the accuracy of atmospheric black carbon(BC)in both datasets.Results showed that Nam Co had the lowest annual mean BC concentration(0.04μg/m^(3)),while Qomolangma(0.26μg/m^(3))and Waliguan(0.28μg/m^(3))recorded higher levels.All stations exhibited a clear seasonal cycle,with higher concentrations in winter and spring and lower values in summer.MERRA-2 effectively reproduced the seasonal and temporal variations of BC,whereas TAP displayed a systematic overestimation across the Plateau,with annual deviations reaching up to four times in some years,indicating lower accuracy.During the March 2021 transboundary BC transport event from South Asia,MERRA-2 showed good capability in capturing the process,providing direct scientific evidence for cross-border pollutant transmission to the Plateau.
作者
赖静
谢民生
王亚强
康世昌
陈鹏飞
万欣
丛志远
LAI Jing;XIE Min-sheng;WANG Ya-qiang;KANG Shi-chang;CHEN Peng-fei;WAN Xin;CONG Zhi-yuan(Key Laboratory of Biodiversity and Environment on the Qinghai-Tibetan Plateau,Ministry of Education,School of Ecology and Environment,Xizang University,Lhasa 850000,China;State Key Laboratory of Severe Weather Meteorological Science and Technology,Chinese Academy of Meteorological Sciences,Beijing 100081,China;Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences,Lanzhou 730000,China;Institute of Mountain Hazards and Environment,Chinese Academy of Sciences,Chengdu 610213,China;State Key Laboratory of Tibetan Plateau Earth System,Environment and Resources,Institute of Tibetan Plateau Research Chinese Academy of Sciences,Beijing 100101,China)
出处
《中国环境科学》
2026年第3期1238-1246,共9页
China Environmental Science
基金
国家自然科学基金资助项目(42377103,42375104)
中国科学院青年创新促进会资助项目(CAS2023076)。
