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

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发布于 2024-02-02 11:14:26

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发布于 2024-02-02 11:14:26

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

Name	Description	Min*	Max*	Units
NO2_column_number_density	Total vertical column of NO2 (ratio of the slant column density of NO2 and the total air mass factor).	-0.00051	0.0192	mol/m^2
tropospheric_NO2_column_number_density	tropospheric vertical column of NO2	-0.0005375	0.0192044	mol/m^2
stratospheric_NO2_column_number_density	stratospheric vertical column of NO2	0.0000086	0.000107	mol/m^2
NO2_slant_column_number_density	NO2 slant column density	0.0000148	0.003908	mol/m^2
tropopause_pressure	topopause pressure	6156	37345	Pa
absorbing_aerosol_index	Aerosol index (at wavelengths 354/388, i.e. the OMI pair) from the AER_AI level 2 product. See [Level 2 Algorithms - Aerosol Index](https://earth.esa.int/web/sentinel/technical-guides/sentinel-5p/level-2/aerosol-index).	-14.43	10.67	Dimensionless
cloud_fraction	Effective cloud fraction. See the [Sentinel 5P L2 Input/Output Data Definition Spec](https://sentinels.copernicus.eu/documents/247904/3119978/Sentinel-5P-Level-2-Input-Output-Data-Definition), p.220.	0	1	fraction
sensor_altitude	Altitude of the satellite with respect to the geodetic sub-satellite point (WGS84).	828543	856078	m
sensor_azimuth_angle	Azimuth angle of the satellite at the ground pixel location (WGS84); angle measured East-of-North.	-180	180	degrees
sensor_zenith_angle	Zenith angle of the satellite at the ground pixel location (WGS84); angle measured away from the vertical.	0.09	67	degrees
solar_azimuth_angle	Azimuth angle of the Sun at the ground pixel location (WGS84); angle measured East-of-North.	-180	180	degrees
solar_zenith_angle	Zenith angle of the satellite at the ground pixel location (WGS84); angle measured away from the vertical.	8	82	degrees

* = Values are estimated

影像属性：

Name	Type	Description
ALGORITHM_VERSION	String	The algorithm version used in L2 processing. It's separate from the processor (framework) version, to accommodate different release schedules for different products.
BUILD_DATE	String	The date, expressed as milliseconds since 1 Jan 1970, when the software used to perform L2 processing was built.
HARP_VERSION	Int	The version of the HARP tool used to grid the L2 data into an L3 product.
INSTITUTION	String	The institution where data processing from L1 to L2 was performed.
L3_PROCESSING_TIME	Int	The date, expressed as milliseconds since 1 Jan 1970, when Google processed the L2 data into L3 using harpconvert.
LAT_MAX	Double	The maximum latitude of the asset (degrees).
LAT_MIN	Double	The minimum latitude of the asset (degrees).
LON_MAX	Double	The maximum longitude of the asset (degrees).
LON_MIN	Double	The minimum longitude of the asset (degrees).
ORBIT	Int	The orbit number of the satellite when the data was acquired.
PLATFORM	String	Name of the platform which acquired the data.
PROCESSING_STATUS	String	The processing status of the product on a global level, mainly based on the availability of auxiliary input data. Possible values are "Nominal" and "Degraded".
PROCESSOR_VERSION	String	The version of the software used for L2 processing, as a string of the form "major.minor.patch".
PRODUCT_ID	String	Id of the L2 product used to generate this asset.
PRODUCT_QUALITY	String	Indicator that specifies whether the product quality is degraded or not. Allowed values are "Degraded" and "Nominal".
SENSOR	String	Name of the sensor which acquired the data.
SPATIAL_RESOLUTION	String	Spatial resolution at nadir. For most products this is `3.5x7km2`, except for `L2__O3__PR`, which uses `28x21km2`, and `L2__CO____` and `L2__CH4___`, which both use `7x7km2`. This attribute originates from the CCI standard.
TIME_REFERENCE_DAYS_SINCE_1950	Int	Days from 1 Jan 1950 to when the data was acquired.
TIME_REFERENCE_JULIAN_DAY	Double	The Julian day number when the data was acquired.
TRACKING_ID	String	UUID for the L2 product file.

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);