The version 3 OMI NO2 standard product
The version 3 OMI NO2 standard product
复制标题
DOI：
10.5194/amt-10-3133-2017
复制
发表时间：
2017-09-01
影响因子：
3.8
通讯作者：
Zara, Marina
中科院分区：
文献类型：
--
作者：
Krotkov, Nickolay A.;Lamsal, Lok N.;Zara, Marina
我们介绍了新版3.0 NASA臭氧监测仪(OMI)标准二氧化氮(NO2/Products)(SPv3)。这些产品和文件可从美国宇航局戈达德地球科学数据和信息服务中心(https://disc.gsfc.nasa.gov/datasets/OMNO2_V003/summary/).公开获得主要改进包括：(1)用于NO2斜柱密度(SCD)反演的新光谱拟合算法和(2)更高分辨率(1度纬度和1.25度经度)来自全球建模倡议(GMI)化学输送模式的先验NO2和温度分布，以计算将斜柱密度转换为垂直柱密度(VCD)所需的空气质量因子(AMF)。新的SCD系统性地低于之前版本2的估计值(类似于10%-40%)。SCD的大部分减少被传播到平流层VCD。在污染地区，尤其是西欧、美国东部和中国东部，对流层NO2 VCDs也减少了。对未受污染地区的初步评估表明，新的SPv3产品与独立的卫星和地面傅里叶变换红外(FTIR)测量结果更符合。然而，需要对污染地区的对流层VCDs进行进一步的评估，那里提高的空间分辨率和更精确的AMF估计可能会导致更好地表征污染热点。
We describe the new version 3.0 NASA Ozone Monitoring Instrument (OMI) standard nitrogen dioxide (NO2 /products (SPv3). The products and documentation are publicly available from the NASA Goddard Earth Sciences Data and Information Services Center (https://disc.gsfc.nasa.gov/datasets/OMNO2_V003/summary/). The major improvements include (1) a new spectral fitting algorithm for NO2 slant column density (SCD) retrieval and (2) higher-resolution (1 degrees latitude and 1.25 degrees longitude) a priori NO2 and temperature profiles from the Global Modeling Initiative (GMI) chemistry-transport model with yearly varying emissions to calculate air mass factors (AMFs) required to convert SCDs into vertical column densities (VCDs). The new SCDs are systematically lower (by similar to 10-40 %) than previous, version 2, estimates. Most of this reduction in SCDs is propagated into stratospheric VCDs. Tropospheric NO2 VCDs are also reduced over polluted areas, especially over western Europe, the eastern US, and eastern China. Initial evaluation over unpolluted areas shows that the new SPv3 products agree better with independent satellite- and ground-based Fourier transform infrared (FTIR) measurements. However, further evaluation of tropospheric VCDs is needed over polluted areas, where the increased spatial resolution and more refined AMF estimates may lead to better characterization of pollution hot spots.