N: 90 S: -90 E: 180 W: -180
Description
The MCD19A2 Version 6.1 data product is a Moderate Resolution Imaging Spectroradiometer (MODIS) Terra and Aqua combined Multi-angle Implementation of Atmospheric Correction (MAIAC) Land Aerosol Optical Depth (AOD) gridded Level 2 product produced daily at 1 kilometer (km) pixel resolution. The MCD19A2 product provides the atmospheric properties and view geometry used to calculate the MAIAC Land Surface Bidirectional Reflectance Factor (BRF) or surface reflectance, MCD19A1 product.
The MCD19A2 AOD data product contains the following Science Dataset (SDS) layers: blue band AOD at 0.47 µm, green band AOD at 0.55 µm, AOD uncertainty, fine mode fraction over water, column water vapor over land and clouds (in cm), smoke injection height (m above ground), AOD QA, AOD model at 1km, cosine of solar zenith angle, cosine of view zenith angle, relative azimuth angle, scattering angle, and glint angle at 5km. A low-resolution browse image is also included showing AOD of the blue band at 0.47 µm created using a composite of all available orbits.
Each SDS layer within each MCD19A2 Hierarchical Data Format 4 (HDF4) file contains a third dimension that represents the number of orbit overpasses. This factor could affect the total number of bands for each SDS layer.
Known Issues
- Known issues are described in Section 6 of the User Guide.
- For complete information about known issues please refer to the MODIS/VIIRS Land Quality Assessment website.
- Users should be aware that they may see a dip in AOD values for the first 5 months of 2022. A fix is planned to be implemented in Collection 7.
Version Description
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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File Naming Convention
The file name begins with the Product Short Name (MCD19A2) followed by the Julian Date of Acquisition (AYYYYDDD), the Tile Identifier which is horizontal tile and vertical tile (h22v02), the Version of the data collection (061), the Julian Date of Production (YYYYDDDHHMMSS), and the Data Format (hdf).
Documents
USER'S GUIDE
ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD)
PRODUCT QUALITY ASSESSMENT
SCIENCE DATA PRODUCT VALIDATION
Publications Citing This Dataset
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| Explainable Machine Learning Confirms the Global Terrestrial | Zhu, Songyan, Xu, Jian, Zeng, Jingya, Feng, Xianbang, Wang, Yapeng, Bao, Shanning, Shi, Jiancheng | Reflectance, Anisotropy, Aerosol Optical Depth/Thickness, Atmospheric Ozone, Reflectance | |
| Machine learning driven by environmental covariates to estimate high-resolution PM2.5 in data-poor regions | Jin, XiaoYe, Ding, Jianli, Ge, Xiangyu, Liu, Jie, Xie, Boqiang, Zhao, Shuang, Zhao, Qiaozhen | Land Surface Temperature, Emissivity, Reflectance, Aerosol Optical Depth/Thickness | |
| LGHAPThe Long-term Gap-free High-resolution Air Pollutant concentration dataset, derived via tensor-flow-based multimodal data fusion | Bai, Kaixu, Li, Ke, Ma, Mingliang, Li, Kaitao, Li, Zhengqiang, Guo, Jianping, Chang, Ni-Bin, Tan, Zhuo, Han, Di | Aerosol Optical Depth/Thickness, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Introducing the VIIRS-based Fire Emission Inventory version 0 (VFEIv0) | Ferrada, Gonzalo A., Zhou, Meng, Wang, Jun, Lyapustin, Alexei, Wang, Yujie, Freitas, Saulo R., Carmichael, Gregory R. | Aerosol Optical Depth/Thickness, Land Use/Land Cover Classification | |
| Hourly mapping of surface air temperature by blending geostationary datasets from the two-satellite system of GOES-R series | Zhang, Zhenwei, Du, Qingyun | Aerosol Optical Depth/Thickness, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Hospitalization Due to Fire-Induced Pollution in the Brazilian Legal | Campanharo, Wesley Augusto, Morello, Thiago, Christofoletti, Maria A. M., Anderson, Liana O. | Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area, Aerosol Optical Depth/Thickness, Land Surface Temperature, Emissivity | |
| High spatiotemporal resolution PM2.5 concentration estimation with machine learning algorithmA case study for wildfire in California | Cui, Qian, Zhang, Feng, Fu, Shaoyun, Wei, Xiaoli, Ma, Yue, Wu, Kun | Aerosol Optical Depth/Thickness | |
| Impact of lockdown and crop stubble burning on air quality of India: a case study from wheat-growing region | Mohite, Jayantrao, Sawant, Suryakant, Pandit, Ankur, Pappula, Srinivasu | Aerosol Optical Depth/Thickness | |
| Saharan dust and childhood respiratory symptoms in Benin | McElroy, Sara, Dimitrova, Anna, Evan, Amato, Benmarhnia, Tarik | Aerosol Optical Depth/Thickness, Reflectance | |
| Potential assessment of photovoltaic power generation in China | Qiu, Tianzhi, Wang, Lunche, Lu, Yunbo, Zhang, Ming, Qin, Wenmin, Wang, Shaoqiang, Wang, Lizhe | Aerosol Optical Depth/Thickness | |
| Recent trends of land surface temperature in relation to the influencing factors using Google Earth Engine platform and time series products in megacities of India | Bera, Dipankar, Chatterjee, Nilanjana Das, Ghosh, Subrata, Dinda, Santanu, Bera, Sudip | Reflectance, Aerosol Optical Depth/Thickness, Land Surface Temperature, Emissivity, Albedo, Anisotropy | |
| Quantifying the impacts of DEM uncertainty on clear-sky surface | Ma, Yichuan, He, Tao, Liang, Shunlin, Xiao, Xiongxin | RADAR IMAGERY, Terrain Elevation, Topographical Relief Maps, Digital Elevation/Terrain Model (DEM), Aerosol Optical Depth/Thickness | |
| Multi-Criteria Assessment for City-Wide Rooftop Solar PV Deployment: A Case Study of Bandung, Indonesia | Sakti, Anjar Dimara, Ihsan, Kalingga Titon Nur, Anggraini, Tania Septi, Shabrina, Zahratu, Sasongko, Nugroho Adi, Fachrizal, Reza, Aziz, Muhammad, Aryal, Jagannath, Yuliarto, Brian, Hadi, Pradita Octoviandiningrum, Wikantika, Ketut | Aerosol Optical Depth/Thickness, Land Surface Temperature, Emissivity | |
| Spatiotemporal distributions of PM2.5 concentrations in the Beijing-Tianjin-Hebei region from 2013 to 2020 | Yang, Xiaohui, Xiao, Dengpan, Bai, Huizi, Tang, Jianzhao, Wang, Wei | Aerosol Optical Depth/Thickness | |
| The environmental story during the COVID-19 lockdownHow human activities affect PM2.5 concentration in China? | Tan, Zhenyu, Li, Xinghua, Gao, Meiling, Jiang, Liangcun | Aerosol Optical Depth/Thickness | |
| Temporal and spatial distribution mapping of particulate matter in southwest of Iran using remote sensing, GIS, and statistical techniques | Soleimany, Arezoo, Solgi, Eisa, Ashrafi, Khosro, Jafari, Reza, Grubliauskas, Raimondas | Aerosol Optical Depth/Thickness | |
| Spatiotemporal variation and provincial scale differences of the AOD across China during 20002021 | de Leeuw, Gerrit, Fan, Cheng, Li, Zhengqiang, Dong, Jiantao, Li, Yinna, Ou, Yang, Zhu, Sifeng | Aerosol Optical Depth/Thickness, Land Surface Temperature, Emissivity | |
| SmokeDriven Changes in Photosynthetically Active Radiation During the US Agricultural Growing Season | Corwin, Kimberley A., Corr, Chelsea A., Burkhardt, Jesse, Fischer, Emily V. | 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 | |
| Synergy between the Urban Heat Island and the Urban Pollution Island in | Mendez-Astudillo, Jorge, Caetano, Ernesto, Pereyra-Castro, Karla | Aerosol Optical Depth/Thickness | |
| Spatiotemporal pattern and long-term trend of global surface urban heat islands characterized by dynamic urban-extent method and MODIS data | Si, Menglin, Li, Zhao-Liang, Nerry, Francoise, Tang, Bo-Hui, Leng, Pei, Wu, Hua, Zhang, Xia, Shang, Guofei | Aerosol Optical Depth/Thickness, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Land Surface Temperature, Emissivity, Land Use/Land Cover Classification, Albedo, Anisotropy | |
| Spatiotemporal PM2.5 estimations in China from 2015 to 2020 using an improved gradient boosting decision tree | He, Weihuan, Meng, Huan, Han, Jie, Zhou, Gaohui, Zheng, Hui, Zhang, Songlin | Land Use/Land Cover Classification, Aerosol Optical Depth/Thickness, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| UrbanRural Gradient in Urban Heat Island Variations Responsive to LargeScale Human Activity Changes During Chinese New Year Holiday | Zhan, Wenfeng, Liu, Zihan, Bechtel, Benjamin, Li, Jiufeng, Lai, Jiameng, Fu, Huyan, Li, Long, Huang, Fan, Wang, Chunli, Chen, Yangyi | Albedo, Anisotropy, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Land Surface Temperature, Emissivity, Plant Phenology, Land Use/Land Cover Classification, Aerosol Optical Depth/Thickness, Surface Pressure, Heat Flux, Longwave Radiation, Shortwave Radiation, Air Temperature, Specific Humidity, Evapotranspiration, Wind Speed, Rain, Snow, Soil Moisture/Water Content, Soil Temperature, Snow Cover, Snow Depth, Snow Water Equivalent, Runoff | |
| Development of aerosol optical properties for improving the MESSy photolysis module in the GEM-MACH v2. 4 air quality model and application for ... | Majdzadeh, Mahtab, Stroud, Craig A., Sioris, Christopher, Makar, Paul A., Akingunola, Ayodeji, McLinden, Chris, Zhao, Xiaoyi, Moran, Michael D., Abboud, Ihab, Chen, Jack | 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) | |
| Development of China's first space-borne aerosol-cloud high-spectral-resolution lidar: retrieval algorithm and airborne demonstration | Ke, Ju, Sun, Yingshan, Dong, Changzhe, Zhang, Xingying, Wang, Zijun, Lyu, Liqing, Zhu, Wei, Ansmann, Albert, Su, Lin, Bu, Lingbing, Xiao, Da, Wang, Shuaibo, Chen, Sijie, Liu, Jiqiao, Chen, Weibiao, Liu, Dong | Land Use/Land Cover Classification, Aerosol Optical Depth/Thickness, Infrared Radiance, REFLECTED INFRARED, Visible Radiance | |
| Dust radiative effect characteristics during a typical springtime dust storm with persistent floating dust in the Tarim Basin, northwest China | Meng, Lu, Zhao, Tianliang, He, Qing, Yang, Xinghua, Mamtimin, Ali, Wang, Minzhong, Pan, Honglin, Huo, Wen, Yang, Fan, Zhou, Chenglong | Aerosol Optical Depth/Thickness |