N: 90 S: -90 E: 180 W: -180
Description
M2I3NXGAS (or inst3_3d_gas_Nx) is an instantaneous 2-dimensional 3-hourly 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 data field is available every three hour starting from 00:00 UTC, e.g.: 00:00, 03:00, … , 21:00 UTC.
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
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Publications Citing This Dataset
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| Hemispheric Synoptic Patterns Control Rainfall and Long-Range Aerosol | Machado, Luiz A. T., Gan, Manoel A., Barbosa, Henrique M. J., Holanda, Bruna A., Pozzer, Andrea, Poschl, Ulrich, Pohlker, Christopher | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, Aerosol Optical Depth/Thickness | |
| Enhanced Adiabatic Heating Drives Faster Warming of Early Summer Hot | Fang, Jiawei, Chen, Yang, Liao, Zhen | Aerosol Optical Depth/Thickness | |
| Remote Forcing of Super Typhoon Mawar on the 2023 Quebec Wildfires | Zhu, Anbao, Xue, Lian, Wang, Zilin, Ding, Ke, Liu, Yawen, Lou, Sijia, Zhou, Chen, Li, Tianshuai, Zhao, Jiuwei, Zhang, Leying, Huang, Xin, Ding, Aijun | Aerosol Optical Depth/Thickness | |
| Spatiotemporal dynamics and drivers of water and carbon use efficiency in the Yellow River basin with harmonized MODIS and GLASS data | Zhou, Shilun, Lyu, Ruiting, Wang, Feiyang, Guan, Xiaodan, Nie, Ning | Photosynthesis, Primary Production, Vegetation Productivity, Aerosol Optical Depth/Thickness, Longwave Radiation, Shortwave Radiation, Soil Heat Budget, Soil Heat Budget, Soil Temperature, Soil Temperature, Soil Infiltration, Soil Infiltration, Soil Moisture/Water Content, Surface Soil Moisture, Root Zone Soil Moisture, Soil Moisture/Water Content, Evaporation, Surface Water, Runoff Rate, Average Flow, Average Flow, Precipitation, Snow/Ice, Snow Depth, Snow Melt, Snow/Ice Temperature, Leaf Area Index (LAI), Leaf Area Index (LAI) | |
| A Comparative Study on CMAQ-based Predictors and Reanalysis AOD for Improving PM2. 5 Estimation in Thailand using Machine Learning | Sukprasert, Supitcha, Thanasutives, Pongpisit, Araki, Shin, Uranishi, Katsushige, Matsuo, Tomohito, Shimadera, Hikari | Aerosol Optical Depth/Thickness | |
| Aerosol composition retrieval from a combination of three different spaceborne instruments: information content analysis | Stoffelmair, Ulrike, Popp, Thomas, Vountas, Marco, Bosch, Hartmut | Dust/Ash/Smoke, Carbonaceous Aerosols, Organic Particles, Sulfate Particles, Sulfur Oxides, Sulfur Compounds, Sulfate, Sulfur Dioxide, Sulfur Oxides, Dimethyl Sulfide, Aerosol Particle Properties, Particulate Matter, Aerosols, Surface Pressure, Pressure Thickness, Relative Humidity, Sea Salt, Black Carbon, Air Mass/Density, Aerosol Optical Depth/Thickness | |
| Kilauea Volcanic Ash Induced a Massive Phytoplankton Bloom in the | Chow, C. H., Cheah, W., Letelier, R. M., Karl, D. M., Tai, J.H. | Aerosol Optical Depth/Thickness, Aerosols, Carbonaceous Aerosols, Dust/Ash/Smoke, Sulfur Dioxide, Sulfur Oxides, Sulfate, Sulfate Particles, Sulfur Oxides, Particulate Matter, Emissions, UV Aerosol Index, Gas/Aerosol Composition, Aerosol Extinction, Deposition | |
| Response of Vegetation to Extreme Climate in the Yellow River Basin: | Zhou, Shilun, Wang, Feiyang, Lyu, Ruiting, Liu, Maosheng, Nie, Ning | Aerosol Optical Depth/Thickness, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Leaf Characteristics, Photosynthetically Active Radiation | |
| Atmospheric correction for nighttime light image using radiative transfer model | Zhang, Hongqin, Ren, Huazhong, Li, Fengguang, Lin, Songyi, Ye, Hanlin, Jiang, Chenchen, Zhu, Jinshun, Wang, Baozhen | 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 | |
| Retrieval and Evaluation of Global Surface Albedo Based on AVHRR GAC | Li, Shaopeng, Xiao, Xiongxin, Neuhaus, Christoph, Wunderle, Stefan | Land Use/Land Cover Classification, Aerosol Optical Depth/Thickness | |
| Impacts of Northward Typhoons on Autumn Haze Pollution Over North China | Lin, Haoxian, Ding, Ke, Huang, Xin, Lou, Sijia, Xue, Lian, Wang, Zilin, Ma, Yue, Ding, Aijun | Atmospheric Ozone, Sea Level Pressure, Surface Pressure, U/V Wind Components, U/V Wind Components, Potential Vorticity, Vertical Wind Velocity/Speed, Vertical Profiles, Upper Air Temperature, Air Temperature, Relative Humidity, Specific Humidity, Atmospheric Water Vapor, Cloud Liquid Water/Ice, Altitude, Geopotential Height, Ozone Profiles, Dust/Ash/Smoke, Carbonaceous Aerosols, Organic Particles, Sulfate Particles, Sulfur Oxides, Sulfur Compounds, Sulfate, Sulfur Dioxide, Sulfur Oxides, Dimethyl Sulfide, Aerosol Particle Properties, Particulate Matter, Aerosols, Pressure Thickness, Sea Salt, Black Carbon, Air Mass/Density, Surface Temperature, Skin Temperature, Atmospheric Winds, Surface Winds, Atmospheric Pressure, Total Precipitable Water, Oxygen Compounds, Boundary Layer Winds, Aerosol Optical Depth/Thickness, Aerosol Backscatter, Aerosol Extinction, Angstrom Exponent, Aerosol Radiance, Cloud Condensation Nuclei, Nitrate Particles, Trace Gases/Trace Species, Atmospheric Emitted Radiation, Emissivity, Optical Depth/Thickness, Radiative Flux, Reflectance, Transmittance, Atmospheric Stability, Humidity, Water Vapor Profiles, Cloud Condensation Nuclei, Cloud Droplet Concentration/Size, 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, Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Impacts of 2019-20 Australian bushfires on solar photovoltaic generation | Isaza, Alejandra, Evans, Jason P., Kay, Merlinde, Prasad, Abhnil, Bremner, Stephen | 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) | |
| Diagnosing ozoneNOVOCaerosol sensitivity and uncovering causes of urbannonurban discrepancies in Shandong, China, using transformer-based ... | Tao, Chenliang, Peng, Yanbo, Zhang, Qingzhu, Zhang, Yuqiang, Gong, Bing, Wang, Qiao, Wang, Wenxing | Aerosol Optical Depth/Thickness, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Atmospheric Nitric Acid, Nitric Oxide, Nitrogen Dioxide, Nitrogen Oxides, Nitrous Oxide | |
| Coupling and coordination of rainfall erosivity and aerosols in the Pearl River Basin under multiple shared socio-economic pathways | Cao, Zhen, Zhu, Dayun, Zhao, Yingshan, Xiao, Hua, Li, Ronghan, Fu, Linjing | Aerosol Optical Depth/Thickness, Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Mapping of 10-km daily diffuse solar radiation across China from reanalysis data and a Machine-Learning method | Qi, Qinghai, Wu, Jinyang, Gueymard, Christran A., Qin, Wenmin, Wang, Lunche, Zhou, Zhigao, Niu, Jiayun, Zhang, Ming | Aerosol Optical Depth/Thickness | |
| Saharan dust impact on radiative heating rate errors inherent in reanalysis data in the African easterly wave development region | Burgess, Ruby W., Oyola-Merced, Mayra I. | Geopotential Height, Atmospheric Ozone, Surface Pressure, Air Temperature, Upper Air Temperature, Atmospheric Water Vapor, Specific Humidity, U/V Wind Components, U/V Wind Components, Ozone Profiles, Aerosol Optical Depth/Thickness, Dust/Ash/Smoke, Carbonaceous Aerosols, Organic Particles, Sulfate Particles, Sulfur Oxides, Sulfur Compounds, Sulfate, Sulfur Dioxide, Sulfur Oxides, Dimethyl Sulfide, Aerosol Particle Properties, Particulate Matter, Aerosols, Pressure Thickness, Relative Humidity, Sea Salt, Black Carbon, Air Mass/Density | |
| Under a not so white sky: visual impacts of stratospheric aerosol injection | Lemon, Ansar, Keith, David W, Albers, Steve | Aerosol Optical Depth/Thickness | |
| Atmospheric deposition of microplastics in an urban conglomerate near to the foothills of Indian Himalayas: investigating the quantity, chemical character, possible sources and transport mechanisms | Ankit, Yadav, Ajay, Kumar, Nischal, Sharma, Kaushal, Sahil, Kataria, Vishal, Dietze, Elisabeth, Anoop, Ambili | Aerosol Optical Depth/Thickness | |
| The prototype NOAA Aerosol Reanalysis version 1.0: description of the modeling system and its evaluation | Wei, Shih-Wei, Pagowski, Mariusz, da Silva, Arlindo, Lu, Cheng-Hsuan, Huang, Bo | Aerosol Optical Depth/Thickness, Dust/Ash/Smoke, Carbonaceous Aerosols, Organic Particles, Sulfate Particles, Sulfur Oxides, Sulfur Compounds, Sulfate, Sulfur Dioxide, Sulfur Oxides, Dimethyl Sulfide, Aerosol Particle Properties, Particulate Matter, Aerosols, Surface Pressure, Pressure Thickness, Relative Humidity, Sea Salt, Black Carbon, Air Mass/Density | |
| First lunar-light mapping of nighttime dust season oceanic aerosol optical depth over North Atlantic from space | Zhou, Meng, Wang, Jun, Chen, Xi, Wang, Yi, Colarco, Peter R., Levy, Robert C., Miller, Steven D. | Atmospheric Ozone, Sea Level Pressure, Surface Pressure, U/V Wind Components, U/V Wind Components, Potential Vorticity, Vertical Wind Velocity/Speed, Vertical Profiles, Upper Air Temperature, Air Temperature, Relative Humidity, Specific Humidity, Atmospheric Water Vapor, Cloud Liquid Water/Ice, Altitude, Geopotential Height, Ozone Profiles, Aerosol Optical Depth/Thickness, Pressure Thickness, Cloud Fraction | |
| JEDIBased ThreeDimensional EnsembleVariational Data Assimilation System for Global Aerosol Forecasting at NCEP | Huang, Bo, Pagowski, Mariusz, Trahan, Samuel, Martin, Cory R., Tangborn, Andrew, Kondragunta, Shobha, Kleist, Daryl T. | 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, Optical Depth/Thickness, Radiative Flux, Reflectance | |
| Retrieval of nighttime aerosol optical depth by simultaneous consideration of artificial and natural light sources | Meng, Yizhen, Zhou, Ji, Wang, Ziwei, Tang, Wenbin, Ma, Jin, Zhang, Tao, Long, Zhiyong | Land Use/Land Cover Classification, Aerosol Optical Depth/Thickness | |
| Impacts of radiative effect of pre-monsoon biomass burning aerosols on atmospheric circulation and rainfall over Southeast Asia and southern China | Yang, Sixiao, Lau, William K. M., Ji, Zhenming, Dong, Wenjie, Yang, Song | 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, Geopotential Height, Sea Surface Topography, Surface Temperature, Skin Temperature, Upper Air Temperature, Atmospheric Winds, Surface Winds, Atmospheric Pressure, Sea Level Pressure, Surface Pressure, Total Precipitable Water, Cloud Liquid Water/Ice, Atmospheric Water Vapor, Atmospheric Ozone, Oxygen Compounds, Altitude, Boundary Layer Winds, Longwave Radiation, Shortwave Radiation, Humidity, Evapotranspiration, Rain, Snow, Soil Moisture/Water Content, Soil Temperature, Land Surface Temperature, Snow Water Equivalent, Runoff, Precipitation, Precipitation Amount, Aerosol Optical Depth/Thickness, Soil Heat Budget, Soil Heat Budget, Soil Temperature, Soil Infiltration, Soil Infiltration, Surface Soil Moisture, Root Zone Soil Moisture, Soil Moisture/Water Content, Surface Water, Runoff Rate, Average Flow, Average Flow, Snow Depth, Snow Melt, Snow/Ice Temperature, Leaf Area Index (LAI), Leaf Area Index (LAI), Aerosols, Carbonaceous Aerosols, Dust/Ash/Smoke, Sulfur Dioxide, Sulfur Oxides, Sulfate, Sulfate Particles, Sulfur Oxides, Particulate Matter, Emissions, UV Aerosol Index, Gas/Aerosol Composition, Aerosol Extinction, Deposition, U/V Wind Components, Potential Vorticity, Vertical Wind Velocity/Speed, Vertical Profiles, Relative Humidity, Ozone Profiles, Pressure Thickness, Cloud Fraction | |
| Dust Aerosol Impacts on the Time of Cloud Formation in the Badain Jaran Desert Area | Zhao, Xin, Zhao, Chuanfeng, Yang, Yikun, Sun, Yue, Xia, Yan | Aerosol Optical Depth/Thickness, Total Precipitable Water, Cloud Liquid Water/Ice, Atmospheric Water Vapor, Oxygen Compounds, Potential Temperature, Potential Temperature, Air Mass/Density |
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 | 1 | 0 |
| AODINC | AODINC | 1 | float32 | 999999986991104 | N/A | 1 | 0 |
| 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 2025-01-01 00:00:00 | int32 | N/A | N/A | N/A | N/A |