N: 90 S: -90 E: 180 W: -180
Description
This is Level-3 daily global gridded (0.25x0.25 degree) Nitrogen Dioxide Product (OMNO2d). OMNO2d data product is a Level-3 Gridded Product where pixel level data of good quality are binned and "averaged" into 0.25x0.25 degree global grids. This product contains Total column NO2 and Total Tropospheric Column NO2, for all atmospheric conditions, and for sky conditions where cloud fraction is less than 30 percent.
Nitrogen dioxide is an important chemical species in both, the stratosphere where it plays a key role in ozone chemistry, and in the troposphere where it is a precursor to ozone production. In the troposphere, it is produced in various combustion processes and in lightning and is an indicator of poor air quality.
The OMNO2d data are stored in version 5 EOS Hierarchical Data Format (HDF-EOS). Each file contains data from the day lit portion of the orbit (~14 orbits). The average file size for the OMNO2d data product is about 12 Mbytes.
Product Summary
Citation
Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.
Copy Citation
Documents
READ-ME
PUBLICATIONS
Publications Citing This Dataset
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| The Predictive Power of Combining Chemical and Dynamical Variables for | Strode, Sarah, Duncan, Bryan, Anderson, Daniel, Oman, Luke D., Orbe, Clara, Deushi, Makoto, Jockel, Patrick, Manyin, Michael | Tropopause, Surface Pressure, Air Temperature, Upper Air Temperature, Total Precipitable Water, Water Vapor, Cloud Height, Cloud Top Pressure, Cloud Top Temperature, Cloud Vertical Distribution, Emissivity, Sea Surface Temperature, Skin Temperature, Carbon Monoxide, Geopotential Height, Humidity, Water Vapor Profiles, Cloud Liquid Water/Ice, Outgoing Longwave Radiation, Methane, Atmospheric Ozone, Nitrogen Dioxide | |
| A Novel Machine Learning-Based Algorithm for Retrieving Remote-Sensing Reflectance from Multispectral Observations of the Geostationary Meteorological Satellite ... | An, Ni, Shi, Chong, Bao, Yuhai, Shang, Huazhe, Yin, Shuai, Tang, Chenqian, Yao, Ruijie, Letu, Husi | Nitrogen Dioxide | |
| Global Atmospheric Pollution During the Pandemic Period (COVID-19) | Alvim, Debora Souza, Suski, Cassio Aurelio, Herdies, Dirceu Luis, Fontana, Caio Fernando, de Toledo, Eliza Miranda, Khalid, Bushra, Oyerinde, Gabriel, dos Reis, Andre Luiz, da Costa Coelho, Simone Marilene Sievert, DAmelio Felippe, Monica Tais Siqueira, Lamano, Mauricio | Nitrogen Dioxide | |
| High-Resolution Machine-Learning Reconstruction and Spatio-Temporal Analysis of Tropospheric OMI NO2 over Bangladesh (20132023) | Swa, Mahbuba Hasnat, Malitha, Sadit Bihongo, Sarwaruddin Chowdhury, A.M. | Nitrogen Dioxide | |
| Machine Learning-Based Estimation of Surface NO2 Concentrations over China: A Comparative Analysis of Geostationary (GEMS) and Polar-Orbiting (TROPOMI) Satellite Data | Ma, Yijin, Wang, Yi, Wang, Jun, Tao, Minghui, Kim, Jhoon, Wu, Chenyang, Zhang, Shanshan | Nitrogen Dioxide | |
| Combining remote sensing and cell-phone users mobility data to monitor the impact of transportation on NO 2 concentrations in India * |
Grainger, Corbett, Theising, Adam, Zhang, Fan | Nitrogen Dioxide | |
| Decoupling anthropogenic and biogenic influences in the formation of HCHO over two hotspot regions of India | Malik, Priyanshu, Mallik, Chinmay | Nitrogen Dioxide, Carbon And Hydrocarbon Compounds | |
| Long-term ozone formation sensitivity in China: spatiotemporal evolution and machine learning attribution | Lin, Jinglan, Wu, Liqing, Chen, Chujun, Wu, Yongkang, Lin, Rui, Wang, Xuemei, Chen, Weihua | Nitrogen Dioxide, Carbon And Hydrocarbon Compounds | |
| Sub-seasonal and spatial variations in ozone formation and co-control potential for secondary aerosols in the Guanzhong basin, central China | Wang, Ruonan, Zhang, Ningning, Wu, Jiarui, Jiang, Qian, Yu, Jiaoyang, Lu, Yuxuan, Tie, Xuexi | Nitrogen Dioxide, Carbon And Hydrocarbon Compounds | |
| Toward Closing the Hydroxyl Radical (OH) Budget: Assessing the | Anderson, Daniel C., Duncan, Bryan N., Souri, Amir H., Liu, Junhua, Strode, Sarah, Ahn, Doyeon | Nitrogen Dioxide, Tropopause, Surface Pressure, Air Temperature, Upper Air Temperature, Total Precipitable Water, Water Vapor, Cloud Height, Cloud Top Pressure, Cloud Top Temperature, Cloud Vertical Distribution, Emissivity, Sea Surface Temperature, Skin Temperature, Carbon Monoxide, Geopotential Height, Humidity, Water Vapor Profiles, Cloud Liquid Water/Ice, Outgoing Longwave Radiation, Methane, Atmospheric Ozone, Reflectance, Aerosol Backscatter, Aerosol Extinction, Aerosol Optical Depth/Thickness, Angstrom Exponent, Aerosol Particle Properties, Aerosol Radiance, Carbonaceous Aerosols, Cloud Condensation Nuclei, Dust/Ash/Smoke, Nitrate Particles, Organic Particles, Particulate Matter, Sulfate Particles, Trace Gases/Trace Species, Atmospheric Emitted Radiation, Emissivity, Optical Depth/Thickness, Radiative Flux, Transmittance, Atmospheric Stability, Cloud Condensation Nuclei, Cloud Droplet Concentration/Size, Cloud Optical Depth/Thickness, Cloud Asymmetry, Cloud Ceiling, Cloud Frequency, Cloud Emissivity, Cloud Radiative Forcing, Cloud Reflectance, Rain Storms | |
| Modeling on the drought stress impact on the summertime biogenic isoprene emissions in South Korea | Jeong, Yong-Cheol, Wang, Yuxuan, Li, Wei, Kim, Hyeonmin, Park, Rokjin J., Momeni, Mahmoudreza | Carbon And Hydrocarbon Compounds, Nitrogen Dioxide | |
| Long-term trends and chemometric analysis of atmospheric air quality matrices in Nigeria (20032023) using NASA GIOVANNI satellite data | Omokpariola, Daniel Omeodisemi, Nduka, John Kanayochukwu, Anagboso, Martin Osita, Omokpariola, Patrick Leonard | Absorption, Radiative Forcing, Atmospheric Carbon Dioxide, Tropopause, Surface Pressure, Air Temperature, Upper Air Temperature, Total Precipitable Water, Water Vapor, Cloud Height, Cloud Top Pressure, Cloud Top Temperature, Cloud Vertical Distribution, Emissivity, Sea Surface Temperature, Skin Temperature, Carbon Monoxide, Geopotential Height, Humidity, Water Vapor Profiles, Cloud Liquid Water/Ice, Outgoing Longwave Radiation, Methane, Atmospheric Ozone, Sulfur Dioxide, Carbon And Hydrocarbon Compounds, Nitrogen Dioxide, Aerosol Optical Depth/Thickness, Atmospheric Ozone, Reflectance, Aerosol Extinction, Aerosol Optical Depth/Thickness, Aerosol Optical Depth/Thickness | |
| Impacts of Interannual Isoprene Variations on Methane Lifetimes and | Yoon, James (Young Suk), Wells, Kelley C., Millet, Dylan B., Swann, Abigail L. S., Thornton, Joel, Turner, Alexander J. | Nitrogen Dioxide, Carbon And Hydrocarbon Compounds, Atmospheric Chemistry, Carbon And Hydrocarbon Compounds, Air Quality, Carbon Monoxide, Atmospheric Temperature, Surface Temperature, Atmospheric Pressure, Surface Pressure, Atmospheric Water Vapor, Water Vapor Indicators, Water Vapor, Carbon Monoxide Profiles | |
| NO2 Emission Estimation in Ho Chi Minh City, Vietnam Using Modeling and OMI Satellite Data | Minh, Vo Thi Tam, Nguyen, Ly Sy Phu | Nitrogen Dioxide | |
| Nonlinear ozone response to extreme high temperature in a subtropical megacity basin: Integrated observation and modeling analysis | Xu, Tingting, Gao, Xilin, Jiang, Shuqiao, Hu, Kai, Peng, Zhuohao, Zhao, Xilin, Tang, Xiaolu | Carbon And Hydrocarbon Compounds, Nitrogen Dioxide | |
| Variability of satellite-based tropospheric nitrogen dioxide column abundance in the last 20 years over ten Mexican metropolitan areas measured by the Ozone ... | Cardenas, Claudia I. Rivera, Hernandez, Karina Gonzalez | Nitrogen Dioxide, Nitrogen Dioxide | |
| Anthropogenic emissions dominate long-term trends of ozone production sensitivity in southeastern China derived from the ozone monitoring instrument | Hu, Baoye, Gao, Yue, Chen, Naihua, Zeng, Jinfeng, Liu, Taotao | Nitrogen Dioxide, Carbon And Hydrocarbon Compounds | |
| Comparative Spatial and Temporal Analysis of Atmospheric Pollutants Levels and Energy Consumption Emissions in Brazil: Pre and During COVID-19 Pandemic ... | Nadaleti, Willian Cezar, Correa, Anderson, De Souza, Eduarda Gomes, Cardozo, Emanuelle Soares, Dos Santos, Maele Costa, GOMES, Jeferson, Leandro, Diuliana | Nitrogen Dioxide | |
| Changing tropospheric NO2 dynamics across Indian air pollution hotspots | Biswal, Akash, Katoch, Varun, Singh, Tanbir, Ravindra, Khaiwal, Singh, Vikas, Mor, Suman | Nitrogen Dioxide | |
| Elucidating Contributions of Anthropogenic and Soil NOx Emissions Changes to O3 Trends Over China | Sha, Tong, Yang, Siyu, Chen, Qingcai, Wei, Jing, Ma, Mingchen, Gao, Yang, Zhu, Yufan, Hu, Yan, Boersma, K. Folkert, Wang, Jun | Nitrogen Dioxide, Carbon And Hydrocarbon Compounds | |
| Estimating daily surface O3 concentrations in China from 2005 to 2023 based on the STMO3Net model | Zeng, Qiaolin, Qi, Yaoyu, Fan, Meng, Chen, Liangfu, Tao, Jinhua, Zhu, Hao, Liu, Sizhu, Zhu, Yuanyuan | Nitrogen Dioxide, Atmospheric Ozone, Reflectance | |
| Investigating the influence of remote working conditions on tropospheric NO2 vertical column density over northern Italy observed by Aura/OMI | Engert, Rosina, Bichler, Renee, Bittner, Michael | Nitrogen Dioxide | |
| Large increase in anthropogenic emissions in an urban environment and their associated air quality implications | Ahmad, Mubarak, Ahmad, Maqbool, Alam, Khan, Zeb, Bahadar, Khan, Komal, Ditta, Allah | Nitrogen Dioxide, Sulfur Dioxide | |
| Air pollution modulates trends and variability of the global methane budget | Zhao, Yuanhong, Zheng, Bo, Saunois, Marielle, Ciais, Philippe, Hegglin, Michaela I., Lu, Shengmin, Li, Yifan, Bousquet, Philippe | Nitrogen Dioxide | |
| Air quality trends and regimes in South Korea inferred from 20152023 surface and satellite observations | Oak, Yujin J., Jacob, Daniel J., Pendergrass, Drew C., Dang, Ruijun, Colombi, Nadia K., Chong, Heesung, Lee, Seoyoung, Kuk, Su Keun, Kim, Jhoon | Sulfur Dioxide, Nitrogen Dioxide, Carbon And Hydrocarbon Compounds |
Variables
The table below lists the variables contained within a single granule for this dataset. Variables often contain observed or derived geophysical measurements collected from a variety of sources, including remote sensing instruments on satellite and airborne platforms, field campaigns, in situ measurements, and model outputs. The terms variable, parameter, scientific data set, layer, and band have been used across NASA’s Earth science disciplines; however, variable is the designated nomenclature in NASA’s Common Metadata Repository (CMR). Variable metadata attributes such as Name, Description, Units, Data Type, Fill Value, Valid Range, and Scale Factor allow users to efficiently process and analyze the data. The full range of attributes may not be applicable to all variables. Additional information on variable attributes is typically available in the data, user guide, and/or other product documentation.
For questions on a specific variable, please use the Earthdata Forum.
| Name Sort descending | Description | Units | Data Type | Fill Value | Valid Range | Scale Factor | Offset |
|---|---|---|---|---|---|---|---|
| HDFEOS/GRIDS/ColumnAmountNO2/Data_Fields/ColumnAmountNO2 | Field=ColumnAmountNO2,StdField=ColumnAmountNO2Std,SolarZenithAngle=[0:85],VcdQualityFlags=~19,XTrackQualityFlagsModified=~[1:254],TerrainReflectivity=[0:1000] | molec/cm2 | float32 | -1.2676506002282E+30 | N/A | 1 | 0 |
| HDFEOS/GRIDS/ColumnAmountNO2/Data_Fields/ColumnAmountNO2CloudScreened | Field=ColumnAmountNO2,StdField=ColumnAmountNO2Std,SolarZenithAngle=[0:85],CloudFraction=[0:300],VcdQualityFlags=~19,XTrackQualityFlagsModified=~[1:254],TerrainReflectivity=[0:1000] | molec/cm2 | float32 | -1.2676506002282E+30 | N/A | 1 | 0 |
| HDFEOS/GRIDS/ColumnAmountNO2/Data_Fields/ColumnAmountNO2Trop | Field=ColumnAmountNO2Trop,StdField=ColumnAmountNO2TropStd,SolarZenithAngle=[0:85],VcdQualityFlags=~19,XTrackQualityFlagsModified=~[1:254],TerrainReflectivity=[0:1000] | molec/cm2 | float32 | -1.2676506002282E+30 | N/A | 1 | 0 |
| HDFEOS/GRIDS/ColumnAmountNO2/Data_Fields/ColumnAmountNO2TropCloudScreened | Field=ColumnAmountNO2Trop,StdField=ColumnAmountNO2TropStd,SolarZenithAngle=[0:85],CloudFraction=[0:300],VcdQualityFlags=~19,XTrackQualityFlagsModified=~[1:254],TerrainReflectivity=[0:1000] | molec/cm2 | float32 | -1.2676506002282E+30 | N/A | 1 | 0 |
| HDFEOS/GRIDS/ColumnAmountNO2/Data_Fields/Weight | None | NoUnits | float32 | -1.2676506002282E+30 | N/A | 1 | 0 |
| HDFEOS/GRIDS/ColumnAmountNO2/XDim | HDFEOS/GRIDS/ColumnAmountNO2/XDim | degrees_east | float32 | N/A | N/A | N/A | N/A |
| HDFEOS/GRIDS/ColumnAmountNO2/YDim | HDFEOS/GRIDS/ColumnAmountNO2/YDim | degrees_north | float32 | N/A | N/A | N/A | N/A |
| HDFEOS_INFORMATION/StructMetadata_0 | HDFEOS_INFORMATION/StructMetadata_0 | N/A | string | N/A | N/A | N/A | N/A |