研究报告
余锐,陈辰,谭浩波,孙丽颖,刘礼.MERRA-2再分析PM2.5资料在广东地区的适用性分析[J].环境科学学报,2022,42(11):339-350
MERRA-2再分析PM2.5资料在广东地区的适用性分析
- Applicability analysis of PM2.5 surface concentrations simulated by NASA’s MERRA-2 aerosol reanalysis over Guangdong
- 关键词：MERRA-2再分析资料 PM2.5 气象条件 广东 评估
- 基金项目：广东省科技计划项目（No. 2019B121201002）；广东省气象局科学技术研究项目（No. GRMC2019M30， GRMC2021XQ16）；广东省气象局科技创新团队项目（No. GRMCTD202003）；佛山市气象局科学技术研究项目（No. 201914， 202102）；佛山市气象局创新团队项目（No. 202003）
- 作者
- 单位
- 余锐
- 佛山市三水区气象局，佛山 528100;中山大学大气科学学院，珠海 519082;广东省环珠江口气候环境与空气质量变化野外科学观测研究站，广州 510275
- 陈辰
- 佛山市气象局，佛山 528315;广东省环珠江口气候环境与空气质量变化野外科学观测研究站，广州 510275
- 谭浩波
- 广东省气象局，广州 510062
- 孙丽颖
- 广州市增城区气象局，广州 511300;广东省环珠江口气候环境与空气质量变化野外科学观测研究站，广州 510275
- 刘礼
- 中国气象局广州热带海洋气象研究所，广州 510640
- 摘要：利用2015—2021年环境监测站点的PM2.5小时实测数据详细评估了美国航空航天总署（NASA）的现代气溶胶再分析资料第2版（MERRA-2）PM2.5资料在广东地区的适用性.结果表明，MERRA-2与实测PM2.5在低浓度范围（小于50 μg?m-3）较为接近，在污染严重时存在明显低估现象；其模拟性能具有明显的季节和区域依赖性，在湿季和实测浓度较低地区表现能力较好.通过对PM2.5浓度分级比较发现，MERRA-2与实测值之间的偏差随着污染程度的增加而显著增大.这主要是由于MERRA-2缺乏硝酸盐气溶胶的模拟以及排放清单的误差所造成.综合考虑气象条件的影响，本文基于2016年广州番禺气溶胶化学组分数据提出硝酸盐和铵盐参数化方法，对不利大气输送扩散条件下PM2.5的组分构成进行校正，校正结果能够有效减小MERRA-2与实测值之间的偏差，改善MERRA-2对高浓度PM2.5的低估.
- Abstract：This paper evaluated the performance of National Aeronautics and Space Administration （NASA）’s Modern-Era Retrospective Analysis for Research and Applications， Version 2 Reanalysis （MERRA-2） over Guangdong by validating its PM2.5 concentrations against that of the hourly observations from 2015 to 2021. The results show that PM2.5 of MERRA-2 were consistent with those of measured ones when the concentrations were less than 50 μg?m-3， but were obviously underestimated when the pollution was serious. Moreover， the simulation performance of MERRA-2 had obvious seasonal dependence， which performed better in the wet seasons than in dry seasons. The difference between MERRA-2 and observed values increased significantly with increasing pollution levels， mainly due to the lack of nitrate simulation and the errors of the emission inventory. Comprehensively considering the impact of meteorological conditions， a parameterized method for nitrate and ammonium was proposed based on the 2016 datasets of aerosol chemical compositions in Guangzhou Panyu atmospheric composition site， which was used to correct the aerosol composition of PM2.5 under unfavorable diffusion conditions. The correction results showed that the parameterization can effectively reduce the deviation between MERRA-2 and observations.
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