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.
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PUBLICATIONS
Publications Citing This Dataset
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| Air pollution control: An analysis of China's industrial off-peak production policy through the Quasi-natural experiment method | Xu, Xindi, Wang, Qinyun, Hu, Haichao, Wang, Xinjun | Nitrogen Dioxide, Aerosols, Aerosol Extinction, Aerosol Optical Depth/Thickness, Angstrom Exponent, Aerosol Particle Properties, Carbonaceous Aerosols, Dust/Ash/Smoke, Organic Particles, Sulfate Particles, Sulfur Oxides, Sulfur Compounds, Sulfate, Sulfur Dioxide, Sulfur Oxides, Particulate Matter, Dimethyl Sulfide, Black Carbon, Sea Salt, PARTICULATE MATTER (PM 2.5), PARTICULATE MATTER (PM 1.0), PARTICULATE MATTER (PM 10) | |
| An Evaluation of the Impact of Pandemic Driven Lockdown on the Phytoplankton Biomass Over the North Indian Ocean Using Observations and Model | Seelanki, Vivek, Pant, Vimlesh | Nitrogen Dioxide | |
| Biogenic secondary organic aerosol formation in an urban area of eastern central India: Seasonal variation, size distribution and source characterization | Mahilang, Mithlesh, Deb, Manas Kanti, Pervez, Shamsh, Tiwari, Swapnil, Jain, Vikas Kumar | Nitrogen Dioxide | |
| Changes in tropospheric ozone associated with strong earthquakes and possible mechanism | Jing, Feng, Singh, Ramesh P. | 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 | |
| Identification of NO2 and SO2 pollution hotspots and sources in Jiangsu Province of China | Wang, Yu, Ali, Md. Arfan, Bilal, Muhammad, Qiu, Zhongfeng, Mhawish, Alaa, Almazroui, Mansour, Shahid, Shamsuddin, Islam, M. Nazrul, Zhang, Yuanzhi, Haque, Md. Nazmul | Nitrogen Dioxide, Aerosol Extinction, Aerosol Optical Depth/Thickness, Sulfur Dioxide | |
| Mapping high resolution national daily NO2 exposure across mainland China using an ensemble algorithm | Liu, Jianjun | Nitrogen Dioxide | |
| Long-Term (20112019) Trends of O3, NO2, and HCHO and Sensitivity Analysis of O3 Chemistry over the GBM (GangesBrahmaputraMeghna) Delta: Spatial and ... | Pavel, Md Riad Sarkar, Zaman, Shahid Uz, Jeba, Farah, Salam, Abdus | Nitrogen Dioxide, Carbon And Hydrocarbon Compounds | |
| Long-Term Variation in the Tropospheric Nitrogen Dioxide Vertical Column Density over Korea and Japan from the MAX-DOAS Network, 20072017 | Choi, Yongjoo, Kanaya, Yugo, Takashima, Hisahiro, Irie, Hitoshi, Park, Kihong, Chong, Jihyo | Nitrogen Dioxide, Nitrogen Dioxide | |
| Identifying the spatiotemporal variations in ozone formation regimes across China from 2005 to 2019 based on polynomial simulation and causality analysis | Li, Ruiyuan, Xu, Miaoqing, Li, Manchun, Chen, Ziyue, Zhao, Na, Gao, Bingbo, Yao, Qi | Nitrogen Dioxide | |
| Impact of COVID-19 Control Measures on Trace Gases (NO2, HCHO and SO2) and Aerosols over India during Pre-monsoon of 2020 | Biswas, Mriganka Sekhar, Ayantika, D.C. | Carbon And Hydrocarbon Compounds, Nitrogen Dioxide, Sulfur Dioxide | |
| Impact of COVID-19 pandemic lockdown on distribution of inorganic pollutants in selected cities of Nigeria | Fuwape, I. A., Okpalaonwuka, C. T., Ogunjo, S. T. | Nitrogen Dioxide, Atmospheric Ozone, Reflectance, Sulfur Dioxide | |
| Impacts of COVID-19 on air quality in India | Verma, Ram Lal, Kamyotra, Jatinder Singh | 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, Atmospheric Radiation, Longwave Radiation, Shortwave Radiation, Radiative Flux, Radiative Forcing, Surface Radiative Properties, Albedo, Cloud Properties, Cloud Fraction, Cloud Optical Depth/Thickness, Skin Temperature, Sea Surface Skin Temperature, Aerosols, Aerosol Extinction, Aerosol Optical Depth/Thickness, Angstrom Exponent, Aerosol Particle Properties, Carbonaceous Aerosols, Dust/Ash/Smoke, Organic Particles, Sulfate Particles, Sulfur Oxides, Sulfur Compounds, Sulfate, Sulfur Dioxide, Sulfur Oxides, Particulate Matter, Dimethyl Sulfide, Black Carbon, Sea Salt, PARTICULATE MATTER (PM 2.5), PARTICULATE MATTER (PM 10), PARTICULATE MATTER (PM 1.0), Atmospheric Carbon Monoxide | |
| Impact of aerosols on surface ozone during COVID-19 pandemic in southern India: A multi-instrumental approach from ground and satellite observations, and model ... | Kalluri, Raja Obul Reddy, Gugamsetty, Balakrishnaiah, Tandule, Chakradhar Rao, Kotalo, Rama Gopal, Thotli, Lokeswara Reddy, Rajuru, Ramakrishna Reddy, Palle, Surya Nagi Reddy | Nitrogen Dioxide | |
| Impact of urbanization on air quality in the Yangtze River Delta during the COVID-19 lockdown in China | Shen, Lijuan, Wang, Honglei, Zhu, Bin, Zhao, Tianliang, Liu, Ankang, Lu, Wen, Kang, Hanqing, Wang, Yuesi | Nitrogen Dioxide | |
| Effect of SARS-CoV-2 pandemic induced lockdown on the aerosol loading over the coastal state, Goa | Shaikh, Atiba A., Sen, Avirup, Menon, Harilal B. | Nitrogen Dioxide | |
| COVID-19 lockdown-induced changes in NO2 levels across India observed by multi-satellite and surface observations | Biswal, Akash, Singh, Vikas, Singh, Shweta, Kesarkar, Amit P., Ravindra, Khaiwal, Sokhi, Ranjeet S., Chipperfield, Martyn P., Dhomse, Sandip S., Pope, Richard J., Singh, Tanbir, Mor, Suman | Nitrogen Dioxide, Nitrogen Dioxide | |
| Development and Validation of a Sub-National, Satellite-Based Land-Use Regression Model for Annual Nitrogen Dioxide Concentrations in North-Western China | Popovic, Igor, Magalhaes, Ricardo J. Soares, Yang, Shukun, Yang, Yurong, Ge, Erjia, Yang, Boyi, Dong, Guanghui, Wei, Xiaolin, Marks, Guy B., Knibbs, Luke D. | Nitrogen Dioxide | |
| Combing GOME-2B and OMI Satellite Data to Estimate Near-Surface NO2 of Mainland China | Li, Donghui, Qin, Kai, Cohen, Jason Blake, He, Qin, Wang, Shuo, Li, Ding, Zhou, Xiran, Ling, Xiaolu, Xue, Yong | Nitrogen Dioxide | |
| Environmental indicator for COVID19 nonpharmaceutical interventions | Lian, Xinbo, Huang, Jianping, Zhang, Li, Liu, Chuwei, Liu, Xiaoyue, Wang, Lina | Nitrogen Dioxide | |
| Estimating the Daily NO2 Concentration with High Spatial Resolution in the BeijingTianjinHebei Region Using an Ensemble Learning Model | Pan, Yanding, Zhao, Chen, Liu, Zhaorong | Nitrogen Dioxide | |
| Estimation of surface NO2 concentrations over Germany from TROPOMI satellite observations using a machine learning method | Chan, Ka Lok, Khorsandi, Ehsan, Liu, Song, Baier, Frank, Valks, Pieter | Nitrogen Dioxide | |
| Estimation of surface-level NO2 and O-3 concentrations using TROPOMI | Kang, Yoojin, Choi, Hyunyoung, Im, Jungho, Park, Seohui, Shin, Minso, Song, Chang-Keun, Kim, Sangmin | Land Use/Land Cover Classification, RADAR IMAGERY, Terrain Elevation, Digital Elevation/Terrain Model (DEM), Nitrogen Dioxide | |
| Ground-level NO2 concentration estimation based on OMI tropospheric NO2 and its spatiotemporal characteristics in typical regions of China | Chi, Yulei, Fan, Meng, Zhao, Chuanfeng, Sun, Lin, Yang, Yikun, Yang, Xingchuan, Tao, Jinhua | Nitrogen Dioxide | |
| Gauging the effects of the COVID-19 pandemic lockdowns on atmospheric pollution content in select countries | Mandal, Jayatra, Patel, Priyank Pravin | Nitrogen Dioxide | |
| GCAP 2.0: a global 3-D chemical-transport model framework for past, present, and future climate scenarios | Murray, Lee T., Leibensperger, Eric M., Orbe, Clara, Mickley, Loretta J., Sulprizio, Melissa | Sulfur Dioxide, Atmospheric Ozone, 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, Carbon And Hydrocarbon Compounds, 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, Reflectance, 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 |