N: 90 S: -90 E: 180 W: -180
Description
M2IMNXGAS (or instM_3d_gas_Nx) is an instantaneous 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilation of aerosol optical depth analysis and aerosol optical depth analysis increment. The collection also includes the variance of parameters.
MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month.
Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file.
MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list.
Questions: If you have a question, please read "MERRA-2 File Specification Document", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).
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.
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READ-ME
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GENERAL DOCUMENTATION
IMPORTANT NOTICE
Publications Citing This Dataset
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| Heterogeneous effects of aerosols on terrestrial ecosystems in China | Lai, Xiuting, Fan, Hao, Jia, Yanhong, Zhang, Shiyu, Qi, Jiayun, Wang, Xu | Aerosol Optical Depth/Thickness | |
| How South Asian thunderstormdriven transport affects the atmospheric composition over the Tibetan Plateau and stratosphere | Li, Xiaotong, Wu, Xueke, Jia, Ding, Lin, Jiahao, Hu, Yuhang, Huang, Xiaoteng, Luo, Jiali, Hu, Guohao | Geopotential Height, Atmospheric Ozone, Sea Level Pressure, Surface Pressure, Upper Air Temperature, Vertical Profiles, Air Temperature, Specific Humidity, U/V Wind Components, U/V Wind Components, Ozone Profiles, Aerosol Optical Depth/Thickness | |
| Amplified dust cycle in Central Asia linked to desert expansion and environmental transformations since 1980 | Kang, Jian, Zan, Jinbo, Fang, Xiaomin, Zhang, Weilin, Azamdzhon, Murodov | Aerosol Optical Depth/Thickness, Atmospheric Ozone, Reflectance, Aerosol Optical Depth/Thickness, Aerosol Backscatter, Aerosol Extinction, 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, Humidity, Total Precipitable Water, Water Vapor Profiles, Cloud Condensation Nuclei, Cloud Droplet Concentration/Size, Cloud Liquid Water/Ice, Cloud Optical Depth/Thickness, Cloud Asymmetry, Cloud Ceiling, Cloud Frequency, Cloud Height, Cloud Top Pressure, Cloud Top Temperature, Cloud Vertical Distribution, Cloud Emissivity, Cloud Radiative Forcing, Cloud Reflectance, Rain Storms, Atmospheric Ozone, Aerosols, Sulfur Dioxide, Sulfur Oxides, Sulfate, Sulfur Oxides, Emissions, UV Aerosol Index, Gas/Aerosol Composition, Deposition, Atmospheric Ozone, Reflectance, Ultraviolet Radiation | |
| Observed and Modeled Trends in Downward Surface Shortwave Radiation Over Land: Drivers and Discrepancies | McKinnon, Karen A., Simpson, Isla R. | Aerosol Optical Depth/Thickness | |
| Industrial Pollution Management in West Africa: NEEDS Assessment for AI-Enhanced Monitoring and Response Systems | Chukwuka, Azubuike Victor, Nwabuisiaku, Chukwudi | Aerosol Optical Depth/Thickness, Aerosol Extinction, Aerosol Optical Depth/Thickness, Aerosol Optical Depth/Thickness, Aerosol Optical Depth/Thickness | |
| Temporal investigation of effects of wildfires and aerosols on air pollution changes in Nigeria: a multivariate modelling approach | Igbawua, Tertsea | 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) | |
| Structural Difference on the Response of Microphysical and Precipitation | He, Yuhang, Zhao, Pengguo, Xiao, Hui, Zhao, Chuanfeng | Aerosol Optical Depth/Thickness | |
| Spatio-temporal assessment of aerosol-induced atmospheric heating rates in Nigeria. | Igbawua, Tertsea, Tyonvenda, Alexander Aondongu, Sombo, Terver, Echi, Idugba Mathias | Atmospheric Radiation, Longwave Radiation, Shortwave Radiation, Radiative Flux, Radiative Forcing, Surface Radiative Properties, Albedo, Emissivity, Cloud Properties, Cloud Fraction, Cloud Optical Depth/Thickness, Skin Temperature, 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) | |
| Deciphering Air Pollution Dynamics and Drivers in Riverine Megacities Using Remote Sensing Coupled with Geospatial Analytics for Sustainable Development | Ayek, Almustafa Abd Elkader, Loho, Mohannad Ali, Alkhuraiji, Wafa Saleh, Eid, Safieh, Abd-Elmaboud, Mahmoud E., Nahas, Faten, M. Youssef, Youssef | Aerosol Optical Depth/Thickness, Aerosols, Aerosol Extinction, 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), 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 Carbon Monoxide | |
| Deciphering decadal urban ozone trends from historical records since 1980 | Wang, Haolin, Lu, Xiao, Palmer, Paul I, Zhang, Lin, Lu, Keding, Li, Ke, Nagashima, Tatsuya, Koo, Ja-Ho, Tanimoto, Hiroshi, Wang, Haichao, Gao, Meng, He, Cheng, Wu, Kai, Fan, Shaojia, Zhang, Yuanhang | Geopotential Height, Altitude, Surface Temperature, Skin Temperature, Upper Air Temperature, Dew Point Temperature, Air Temperature, Cloud Top Temperature, Atmospheric Winds, Surface Winds, U/V Wind Components, Upper Level Winds, U/V Wind Components, Vertical Wind Velocity/Speed, Atmospheric Pressure, Sea Level Pressure, Cloud Top Pressure, Sea Level Pressure, Surface Pressure, Specific Humidity, Total Precipitable Water, Cloud Liquid Water/Ice, Atmospheric Water Vapor, Atmospheric Ozone, Oxygen Compounds, Boundary Layer Winds, Total Ozone, Aerosol Optical Depth/Thickness | |
| Dust and climate interactions in the Middle East: Spatio-temporal analysis of aerosol optical depth and climatic variables | Mousavi, Hossein, Moshir Panahi, Davood, Kalantari, Zahra | Aerosol Optical Depth/Thickness | |
| Future Increase in Lightning Around the South China Sea Under Climate | Xu, Liangtao, Cao, Xi, Lan, Xiaoqing, Zhang, Wenjuan, Sun, Chenghu, Zhang, Yijun | Aerosol Optical Depth/Thickness, Lightning, Lightning | |
| Atmospheric Dust Forced Changes in the Precipitation Distribution Over Indian Homogeneous Regions | Saxena, Harshita, Pandey, Vivek Kumar, Das, Sushant | Aerosol Optical Depth/Thickness, Aerosol Backscatter, Aerosol Extinction, 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, Humidity, Total Precipitable Water, Water Vapor Profiles, Cloud Condensation Nuclei, Cloud Droplet Concentration/Size, Cloud Liquid Water/Ice, Cloud Optical Depth/Thickness, Cloud Asymmetry, Cloud Ceiling, Cloud Frequency, Cloud Height, Cloud Top Pressure, Cloud Top Temperature, Cloud Vertical Distribution, Cloud Emissivity, Cloud Radiative Forcing, Cloud Reflectance, Rain Storms, Atmospheric Ozone | |
| Increase asymmetric warming rates between daytime and nighttime temperatures over global land during recent decades | Liu, Ge, Guo, Yan, Xia, Haoming, Liu, Xingya, Song, Hongquan, Yang, Jia, Zhang, Yuqing | Aerosol Optical Depth/Thickness | |
| Towards an Improved Representation of Dust AerosolRainfall Relationship Influenced by 2018 Dust Event over Indian Region by Using Regional Climate Model ... | Saxena, Harshita, Pandey, Vivek Kumar | Aerosol Optical Depth/Thickness, Aerosols, Aerosol Extinction, 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) | |
| Detection of dilution due to turbulent mixing vs. precipitation scavenging effects on biomass burning aerosol concentrations using stable water isotope ratios ... | Henze, Dean, Noone, David, Toohey, Darin | Geopotential Height, Atmospheric Ozone, Sea Level Pressure, Surface Pressure, Upper Air Temperature, Vertical Profiles, Air Temperature, Specific Humidity, U/V Wind Components, U/V Wind Components, Ozone Profiles, Aerosol Optical Depth/Thickness, Atmospheric Water Vapor, Precipitation, Evapotranspiration, Latent Heat Flux | |
| Screening Approach of the Langley Calibration Station for Sun Photometers in China | Xun, Lina, Liu, Xue, Lu, Hui, Zhang, Jingjing, Yan, Qing | Aerosol Optical Depth/Thickness, Planetary Boundary Layer Height | |
| Recent changes in atmospheric input and primary productivity in the | Kuttippurath, J., Maishal, S., Anjaneyan, P., Sunanda, N., Chakraborty, Kunal | Aerosol Optical Depth/Thickness, Environmental Impacts, Sea Level Rise, Water Resources, Food Security | |
| A Climate Change Study: Downscaling of Climatic Parameters and Their Assessment Over East Rathong Glacier of Eastern Himalayan Region | Aggarwal, Anubha, Anbukumar, S., Mandal, Anubha | Aerosol Optical Depth/Thickness | |
| Distribution and Meteorological Control of PM2.5 and Its Effect on Visibility in Northern Thailand | Amnuaylojaroen, Teerachai, Kaewkanchanawong, Phonwilai, Panpeng, Phatcharamon | Aerosol Optical Depth/Thickness | |
| Time-series variation and attribution analysis of downward shortwave radiation over the Yunnan-Kweichow plateau from 1984 to 2018 | Cheng, Lijia, Tang, Bo-Hui, He, Zhiwei, Fu, Zhitao, Li, Menghua | Aerosol Optical Depth/Thickness | |
| Clusterenhanced ensemble learning for mapping global monthly surface ozone from 2003 to 2019 | Liu, Xiang, Zhu, Yijing, Xue, Lian, Desai, Ankur R., Wang, Haikun | Aerosol Optical Depth/Thickness, Nitrogen Dioxide, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Land Use/Land Cover Classification | |
| Erratic Asian summer monsoon 2020: COVID-19 lockdown initiatives possible cause for these episodes? | Kripalani, Ramesh, Ha, Kyung-Ja, Ho, Chang-Hoi, Oh, Jai-Ho, Preethi, B., Mujumdar, Milind, Prabhu, Amita | Aerosol Optical Depth/Thickness | |
| Projection of the Near-Future PM2.5 in Northern Peninsular Southeast Asia under RCP8.5 | Amnuaylojaroen, Teerachai, Surapipith, Vanisa, Macatangay, Ronald C. | Aerosol Optical Depth/Thickness | |
| Analysis of aerosol optical depth over Bahrain and Eastern Province of Saudi Arabia based on MERRA-2 model | Jassim, M. S., Coskuner, G., Zaid, M., Malik, U. | Aerosol Optical Depth/Thickness |
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 |
|---|---|---|---|---|---|---|---|
| AODANA | AODANA | 1 | float32 | 999999986991104 | N/A | N/A | N/A |
| AODINC | AODINC | 1 | float32 | 999999986991104 | N/A | N/A | N/A |
| lat | lat | degrees_north | float64 | N/A | N/A | N/A | N/A |
| lon | lon | degrees_east | float64 | N/A | N/A | N/A | N/A |
| time | time | minutes since 2025-11-01 00:00:00 | int32 | N/A | N/A | N/A | N/A |
| Var_AODANA | Var_AODANA | 1 1 | float32 | 999999986991104 | N/A | N/A | N/A |
| Var_AODINC | Var_AODINC | 1 1 | float32 | 999999986991104 | N/A | N/A | N/A |