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Description

The OMI/Aura Formaldehyde (HCHO) Total Column Daily L3 Weighted Mean Global 0.1deg Lat/Lon Grid (OMHCHOd). The formaldehyde values in each file are the average for 0.1 x 0.1 degree grid cell of cloud-screened total HCHO columns for a single day.

Other variables included in the files are the weight of each grid cell, the standard error of column averages, mean albedo, mean cloud fraction, mean cloud pressure, and surface height. The weight information is useful for combining data from several files and reducing the noise of the retrievals by co-adding in the temporal or spatial dimensions.

The OMHCHOd files are in the netCDF4 format which is compatible with most HDF5 readers and tools. Each file contains daily data from approximately 15 orbits. The maximum file size for the OMHCHOd data product is about 80 Mbytes.

Product Summary

Platforms
Aura
Instruments
OMI
Projects
Aura
Spatial Extent

N: 90 S: -90 E: 180 W: -180

Spatial Resolution
0.1 Decimal Degrees x 0.1 Decimal Degrees
Location
GLOBAL
Coordinate System
CARTESIAN
Granule Spatial Representation
CARTESIAN
Temporal Extent
2004-10-01 to Present
Data Partner
Goddard Earth Sciences Data and Information Services Center (formerly Goddard DAAC), Terrestrial Information Systems Laboratory, Earth Sciences Division, Science and Exploration Directorate, Goddard Space Flight Center, NASA (NASA/GSFC/SED/ESD/TISL/GESDI
Concept ID
C1626121562-GES_DISC
Data State
ACTIVE
Number of Files/Granules
7793
Processing Level
3
Published
Updated
Science Keywords
Carbon And Hydrocarbon Compounds

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

Chance, K. (2019). OMI/Aura Formaldehyde (HCHO) Total Column Daily L3 Weighted Mean Global 0.1deg Lat/Lon Grid V003 [Dataset]. NASA Goddard Earth Sciences Data and Information Services Center. https://doi.org/10.5067/AURA/OMI/DATA3010 Date Accessed: 2026-06-13

Documents

Publications Citing This Dataset

Filters
Title Year Author Topic
A Multi-Agglomeration Assessment of Air Quality Responses to Top-Down NOx Emission Changes: Insights from Trends in Surface NO2 and O3 Across Urban China (20142021) Shen, Yang, Feng, Shuzhuang, Zhang, Rui, Peng, Chenchen, Yang, Zihan, Yang, Yuanyuan, Wei, Guoen Carbon And Hydrocarbon Compounds
Assessing the contribution of marine isoprene emissions to groundlevel ozone formation in East Asia Zheng, Songci, Jiang, Fei, Lai, Yong, Liu, Qian, Feng, Shuzhuang, Cui, Lehui, Zhu, Jialei, He, Zhonghua, He, Yue, Jia, Mengwei, Cai, Zhe, Lyu, Xiaopu Carbon And Hydrocarbon Compounds
Inferring drivers of tropical isoprene: competing effects of emissions and chemistry Yoon, James Young Suk, Wells, Kelley C., Millet, Dylan B., Frankenberg, Christian, Sanghavi, Suniti, Swann, Abigail L. S., Thornton, Joel A., Turner, Alexander J. Heat Flux, Air Temperature, Skin Temperature, Specific Humidity, Water Vapor, Precipitation Rate, Snow/Ice, Evaporation, Latent Heat Flux, Latent Heat Flux, Sensible Heat Flux, Diffusion, Surface Winds, Wind Speed, U/V Wind Components, Wind Stress, Wind Stress, Surface Roughness, Planetary Boundary Layer Height, Ice Fraction, Carbon And Hydrocarbon Compounds, Carbonaceous Aerosols, Nitrogen Oxides, Particulates, Hydrogen Cyanide, Emissions, Non-methane Hydrocarbons/Volatile Organic Compounds, Particulate Matter, Fire Occurrence, Nitrogen Oxides, Sulfur 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
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
Global OMI HCHO Level-3 oversampling dataset: high spatial resolution and lightweight uncertainty Xia, Hui, Wang, Dakang, Yang, Xiankun, Li, Xicheng, Zhu, Lei, Lu, Tianyu, Song, Zhaolong, Mo, Yongru, Yan, Chenglong, Pu, Dongchuan, Zuo, Xiaoxing, Sun, Wenfu, Wang, Jinnian, Gu, Xingfa Carbon And Hydrocarbon Compounds
Quantifying transport contributions and diagnosing ozone formation sensitivity: An integrated approach using machine learning with high-resolution gridded data and backward trajectories Hu, Baoye, Gao, Yue, Chen, Naihua, Zeng, Jinfeng, Chen, Shuyao, Zeng, Zhiwei, Wang, Zhenhong 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
Assessing Ambient Formaldehyde Exposure and Estimating Cancer Risks over India using the Ozone Monitoring Instrument Satellite Sensor Gautam, Deeksha, Philip, Sajeev, Dey, Sagnik, Johnson, Matthew S., Chaudhary, Ekta, Ayazpour, Zolal, Gonzalez Abad, Gonzalo Carbon And Hydrocarbon Compounds
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
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
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
Emission Control and Sensitivity Regime Shifts Drive the Decline in Extreme Ozone Concentration in the Sichuan Basin During 20152024 Kang, Hanqing, Liu, Bojun, Hong, Lei, Shi, Jingchuan, Lu, Hua, Zhang, Ying, Guo, Zhaobing Carbon And Hydrocarbon Compounds
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
Comparative analysis of the impact of rising temperatures on ozone levels in China and the United States Bao, Jiemeng, Li, Xin, Kong, Liuwei, Li, Jie, Chen, Qi, Zhang, Yuanhang Carbon And Hydrocarbon Compounds
Hourly Nitrogen Oxides Emissions Estimated From TEMPO and Comparison With Facility-Level Monitoring Data Sun, Kang, Saju, Jobaer Ahmed, Nowlan, Caroline R., Gonzalez Abad, Gonzalo, Liu, Xiong Carbon And Hydrocarbon Compounds
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
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
Changing ozone sensitivity in Fujian province, China, during 2012-2021: Importance of controlling VOC emissions Chen, Naihua, Yang, Yuxiang, Wang, Dongdong, You, Jianyong, Gao, Yue, Zhang, Limei, Zeng, Zhiwei, Hu, Baoye Carbon And Hydrocarbon Compounds, Nitrogen Dioxide
Long-term changes of surface ozone and ozone sensitivity over the North China Plain based on 20152021 satellite retrievals Zhu, Chuanyong, Gai, Yichao, Liu, Zhenguo, Sun, Lei, Fu, Siyuan, Liu, Kun, Yang, Leifeng, Pan, Guang, Wang, Baolin, Wang, Chen, Yang, Na, Li, Zhisheng, Xu, Chongqing, Yan, Guihuan Carbon And Hydrocarbon Compounds
Long-term trends of ozone precursors and ozone sensitivity in Jakarta Metropolitan Area: A view from space Kusumaningtyas, Sheila Dewi Ayu, Tonokura, Kenichi, Gunawan, Dodo, Iriana, Windy Carbon And Hydrocarbon Compounds
Long-term variations in surface ozone at the Longfengshan Regional Atmosphere Background Station in Northeast China and related influencing factors Zhang, Xiaoyi, Sun, Jingmin, Lin, Weili, Xu, Wanyun, Zhang, Gen, Wu, Yanling, Dai, Xin, Zhao, Jinrong, Yu, Dajiang, Xu, Xiaobin Nitrogen Dioxide, Carbon And Hydrocarbon Compounds
Insights into the long-term (20052021) spatiotemporal evolution of summer ozone production sensitivity in the Northern Hemisphere derived with the Ozone ... Johnson, Matthew S., Philip, Sajeev, Meech, Scott, Kumar, Rajesh, Sorek-Hamer, Meytar, Shiga, Yoichi P., Jung, Jia Nitrogen Dioxide, Carbon And Hydrocarbon Compounds
Impact of marine shipping emissions on ozone pollution during the warm seasons in China Zheng, Songci, Jiang, Fei, Feng, Shuzhuang, Liu, Huan, Wang, Xiaoyuan, Tian, Xudong, Ying, Chuanyou, Jia, Mengwei, Shen, Yang, Lyu, Xiaopu, Guo, Hai, Cai, Zhe Carbon And Hydrocarbon Compounds
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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 Description Units Data Type Fill Value Valid Range Scale Factor Offset
key_science_data/column_amount key_science_data/column_amount molecules/cm^2 float32 -1.0000000150475E+30 N/A N/A N/A
key_science_data/column_uncertainty key_science_data/column_uncertainty molecules/cm^2 float32 -1.0000000150475E+30 N/A N/A N/A
latitude latitude degrees_north float32 -1.0000000150475E+30 -90 to 90 N/A N/A
longitude longitude degrees_east float32 -1.0000000150475E+30 -180 to 180 N/A N/A
qa_statistics/data_quality_flag qa_statistics/data_quality_flag N/A int8 2 0 to 2 N/A N/A
qa_statistics/num_samples qa_statistics/num_samples 1 float32 -1 0 to 1000 N/A N/A
support_data/albedo support_data/albedo 1 float32 -1.0000000150475E+30 0 to 1 N/A N/A
support_data/amf support_data/amf 1 float32 -1.0000000150475E+30 0 to 100 N/A N/A
support_data/cloud_fraction support_data/cloud_fraction 1 float32 -1.0000000150475E+30 0 to 1 N/A N/A
support_data/cloud_pressure support_data/cloud_pressure hPa float32 -1.0000000150475E+30 0 to 1200 N/A N/A
support_data/sample_weight support_data/sample_weight 1 float32 -1.0000000150475E+30 0 N/A N/A
support_data/terrain_height support_data/terrain_height m int16 -30000 -1000 to 10000 N/A N/A
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