Google Earth Engine ——数据全解析专辑（COPERNICUS/S5P/NRTI/L3_NO2） NO2 浓度的离线高分辨率图像数据集

OFFL/L3_NO2

This dataset provides offline high-resolution imagery of NO2 concentrations.

Nitrogen oxides (NO2 and NO) are important trace gases in the Earth’s atmosphere, present in both the troposphere and the stratosphere. They enter the atmosphere as a result of anthropogenic activities (notably fossil fuel combustion and biomass burning) and natural processes (wildfires, lightning, and microbiological processes in soils). Here, NO2 is used to represent concentrations of collective nitrogen oxides because during daytime, i.e. in the presence of sunlight, a photochemical cycle involving ozone (O3) converts NO into NO2 and vice versa on a timescale of minutes. The TROPOMI NO2 processing system is based on the algorithm developments for the DOMINO-2 product and for the EU QA4ECV NO2 reprocessed dataset for OMI, and has been adapted for TROPOMI. This retrieval-assimilation-modelling system uses the 3-dimensional global TM5-MP chemistry transport model at a resolution of 1x1 degree as an essential element. [More information]

OFFL/L3_NO2

该数据集提供了 NO2 浓度的离线高分辨率图像。

氮氧化物（NO2 和 NO）是地球大气中重要的微量气体，存在于对流层和平流层中。由于人为活动（特别是化石燃料燃烧和生物质燃烧）和自然过程（野火、闪电和土壤中的微生物过程），它们进入大气。在这里，NO2 用于表示集体氮氧化物的浓度，因为在白天，即在有阳光的情况下，涉及臭氧 (O3) 的光化学循环在几分钟的时间尺度上将 NO 转化为 NO2，反之亦然。 TROPOMI NO2 处理系统基于 DOMINO-2 产品和欧盟 QA4ECV NO2 再处理 OMI 数据集的算法开发，并已针对 TROPOMI 进行了调整。该检索-同化-建模系统使用分辨率为 1x1 度的 3 维全局 TM5-MP 化学输运模型作为基本要素。 [更多信息]

Dataset Availability

2018-06-28T10:24:07 - 2021-08-28T00:00:00

Dataset Provider

European Union/ESA/Copernicus

Collection Snippet

ee.ImageCollection("COPERNICUS/S5P/OFFL/L3_NO2")

Resolution

0.01 degrees

Bands Table

* = Values are estimated

影像属性：

var collection = ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_NO2')
  .select('NO2_column_number_density')
  .filterDate('2019-06-01', '2019-06-06');
var band_viz = {
  min: 0,
  max: 0.0002,
  palette: ['black', 'blue', 'purple', 'cyan', 'green', 'yellow', 'red']
};
Map.addLayer(collection.mean(), band_viz, 'S5P N02');
Map.setCenter(65.27, 24.11, 4);