Google Earth Engine ——数据全解析专辑（COPERNICUS/S5P/OFFL/L3_HCHO）大气甲醛 (HCHO) 浓度的离线高分辨率数据集

OFFL/L3_HCHO

This dataset provides offline high-resolution imagery of atmospheric formaldehyde (HCHO) concentrations.

Formaldehyde is an intermediate gas in almost all oxidation chains of non-methane volatile organic compounds (NMVOC), leading eventually to CO2. Non-Methane Volatile Organic Compounds (NMVOCs) are, together with NOx, CO and CH4, among the most important precursors of tropospheric O3. The major HCHO source in the remote atmosphere is CH4 oxidation. Over the continents, the oxidation of higher NMVOCs emitted from vegetation, fires, traffic and industrial sources results in important and localized enhancements of the HCHO levels. The seasonal and inter-annual variations of the formaldehyde distribution are principally related to temperature changes and fire events, but also to changes in anthropogenic activities. HCHO concentrations in the boundary layer can be directly related to the release of short-lived hydrocarbons, which mostly cannot be observed directly from space. [More information]

OFFL/L3_HCHO

该数据集提供了大气甲醛 (HCHO) 浓度的离线高分辨率图像。

甲醛是几乎所有非甲烷挥发性有机化合物 (NMVOC) 氧化链中的中间气体，最终会导致 CO2。非甲烷挥发性有机化合物 (NMVOC) 与 NOx、CO 和 CH4 一起，是对流层 O3 最重要的前体。偏远大气中的主要 HCHO 来源是 CH4 氧化。在各大洲，植被、火灾、交通和工业源排放的较高 NMVOC 的氧化导致 HCHO 水平的重要和局部提高。甲醛分布的季节性和年际变化主要与温度变化和火灾事件有关，但也与人为活动的变化有关。边界层中的 HCHO 浓度可能与短寿命碳氢化合物的释放直接相关，而这些碳氢化合物大多无法直接从太空中观察到。 [更多信息]

Dataset Availability

2018-12-05T12:14:36 - 2021-09-04T00:00:00

Dataset Provider

European Union/ESA/Copernicus

Collection Snippet

ee.ImageCollection("COPERNICUS/S5P/OFFL/L3_HCHO")

Resolution

0.01 degrees

Bands Table

* = Values are estimated

CLOSEIMPORT

代码：

var collection = ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_HCHO')
  .select('tropospheric_HCHO_column_number_density')
  .filterDate('2019-06-01', '2019-06-06');
var band_viz = {
  min: 0.0,
  max: 0.0003,
  palette: ['black', 'blue', 'purple', 'cyan', 'green', 'yellow', 'red']
};
Map.addLayer(collection.mean(), band_viz, 'S5P HCHO');
Map.setCenter(0.0, 0.0, 2);

影像：