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 |
|---|---|---|---|
| Megafire smoke exposure jeopardizes tree carbohydrate reserves and yield | Orozco, Jessica, Guzman-Delgado, Paula, Zwieniecki, Maciej A. | Reflectance, Aerosol Optical Depth/Thickness | |
| High resolution mapping of nitrogen dioxide and particulate matter in Great Britain (20032021) with multi-stage data reconstruction and ensemble machine learning methods | de la Cruz Libardi, Arturo, Masselot, Pierre, Schneider, Rochelle, Nightingale, Emily, Milojevic, Ai, Vanoli, Jacopo, Mistry, Malcolm N., Gasparrini, Antonio | Nitrogen Dioxide, Aerosol Optical Depth/Thickness, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Impact of wildfires on regional ozone and PM2. 5: Considering the light absorption of Brown carbon | Choi, Minsu, Zhang, Jie, Zhang, Yuwei, Fan, Jiwen, Li, Xinghua, Ying, Qi | Aerosol Optical Depth/Thickness, Land Surface Temperature, Fire Occurrence, Surface Thermal Properties, THERMAL ANOMALIES, Carbonaceous Aerosols, Nitrogen Oxides, Particulates, Hydrogen Cyanide, Emissions, Non-methane Hydrocarbons/Volatile Organic Compounds, Particulate Matter, Nitrogen Oxides, Sulfur Dioxide, Carbon And Hydrocarbon Compounds | |
| High-Resolution Daily PM2.5 Exposure Concentrations in South Korea Using | Kang, Jin-Goo, Lee, Ju-Yong, Lee, Jeong-Beom, Lim, Jun-Hyun, Yun, Hui-Young, Choi, Dae-Ryun | Aerosol Optical Depth/Thickness | |
| Improving assessment of population exposure and health impacts to | Zhao, Xia, Zhou, Yuyu, Li, Xi, Zhang, Tao, Wang, Yueying, Zhu, Zhengyuan, Zhang, Kai, Li, Deren | Aerosol Optical Depth/Thickness | |
| Is the smoke aloft? Caveats regarding the use of the Hazard Mapping System (HMS) smoke product as a proxy for surface smoke presence across the United States | Liu, Tianjia, Panday, Frances Marie, Caine, Miah C., Kelp, Makoto, Pendergrass, Drew C., Mickley, Loretta J., Ellicott, Evan A., Marlier, Miriam E., Ahmadov, Ravan, James, Eric P. | Aerosol Optical Depth/Thickness | |
| Satellite-Detected Anomalous Changes in Parameters of Various Geophysical Fields During Earthquakes of 6 M 7.8 in Turkiye in February 2023 | Bondur, Valeriy, Tsidilina, Marina, Efremycheva, Elena, Voronova, Olga, Gaponova, Mariya, Feoktistova, Natalya, Zima, Alla | Aerosol Optical Depth/Thickness | |
| Spatiotemporal Variability of Aerosol Optical Depth Over the Arabian Peninsula Using MODIS Data | Abuelgasim, Abdelgadir, Farahat, Ashraf | Aerosol Optical Depth/Thickness | |
| Spatial and temporal dynamics of urban heat environment at the township | Wang, Dongchao, Cao, Jianfei, Zhang, Baolei, Kong, Kangning, Wang, Run | Aerosol Optical Depth/Thickness | |
| Synergy of Urban Heat, Pollution, and Social Vulnerability in One of | Blackford, Andrew, Cowan, Trent, Nair, Udaysankar, Phillips, Christopher, Kaulfus, Aaron, Freitag, Brian | Aerosol Optical Depth/Thickness, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| urbisphere -Berlin campaign: Investigating multi-scale urban impacts on the atmospheric boundary layer | Fenner, Daniel, Christen, Andreas, Grimmond, Sue, Meier, Fred, Morrison, William, Zeeman, Matthias, Barlow, Janet, Birkmann, Jorn, Blunn, Lewis, Chrysoulakis, Nektarios, Clements, Matthew, Glazer, Russell, Hertwig, Denise, Kotthaus, Simone, Konig, Kai, Looschelders, Dana, Mitraka, Zina, Poursanidis, Dimitris, Tsirantonakis, Dimitris, Bechtel, Benjamin, Benjamin, Kit, Beyrich, Frank, Briegel, Ferdinand, Feigel, Gregor, Gertsen, Carlotta, Iqbal, Nimra, Kittner, Jonas, Lean, Humphrey, Liu, Yiqing, Luo, Zhiwen, McGrory, Megan, Metzger, Swen, Paskin, Matthew, Ravan, Marvin, Ruhtz, Thomas, Saunders, Bethany, Scherer, Dieter, Smith, Stefan Thor, Stretton, Megan, Trachte, Katja, Van Hove, Melania | Aerosol Optical Depth/Thickness, Land Surface Temperature, Emissivity | |
| Wavelet local multiple correlation analysis of long-term AOD, LST, and NDVI time-series over different climatic zones of India | Kadaverugu, Rakesh, Nandeshwar, Sukeshini, Biniwale, Rajesh | Reflectance, Aerosol Optical Depth/Thickness, Land Surface Temperature, Emissivity | |
| Two decades of aerosol trends over India: seasonal characteristics and | Namdeo, Prathmesh, Chakraborty, TC, Chakraborty, Abhishek | Aerosol Optical Depth/Thickness | |
| 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 | |
| Dust over water: Analyzing the impact of lake desiccation on dust storms | Ahrari, Amirhossein, Panchanathan, Anandharuban, Torabi Haghighi, Ali | Aerosol Optical Depth/Thickness | |
| A Novel Flexible Geographically Weighted Neural Network for | Wang, Dongchao, Cao, Jianfei, Zhang, Baolei, Zhang, Ye, Xie, Lei | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Aerosol Optical Depth/Thickness | |
| A Multivariate Geostatistical Framework to Assess the Spatio-Temporal Dynamics of Air Pollution and Land Surface Temperature in Bangladesh | Rahaman, Sk Nafiz, Nelson, Jake, Ali, Al Artat Bin, Shermin, Nishat, Pricope, Narcisa G., Al Kafy, Abdulla, Sabuj, Md Shahaduzzaman, Toa, Sharmin Sultana | Aerosol Optical Depth/Thickness, Land Surface Temperature, Emissivity | |
| Annual 30-m maps of global grassland class and extent (20002022) based on spatiotemporal Machine Learning | Parente, Leandro, Sloat, Lindsey, Mesquita, Vinicius, Consoli, Davide, Stanimirova, Radost, Hengl, Tomislav, Bonannella, Carmelo, Teles, Nathalia, Wheeler, Ichsani, Hunter, Maria, Ehrmann, Steffen, Ferreira, Laerte, Mattos, Ana Paula, Oliveira, Bernard, Meyer, Carsten, Sahin, Murat, Witjes, Martijn, Fritz, Steffen, Malek, Ziga, Stolle, Fred | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Aerosol Optical Depth/Thickness, Land Surface Temperature, Emissivity | |
| Assessment of smoke plume height products derived from multisource satellite observations using lidar-derived height metrics for wildfires in the western US | Huang, Jingting, Loria-Salazar, S. Marcela, Deng, Min, Lee, Jaehwa, Holmes, Heather A. | Aerosol Optical Depth/Thickness, Angstrom Exponent | |
| An analysis of roadside particulate matter pollution and population | Wu, Y, Lee, H F, Deng, R R, Yim, S H L | Aerosol Optical Depth/Thickness | |
| Exploring spatial machine learning techniques for improving land surface temperature prediction | Arunab, K.S., Mathew, Aneesh | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Reflectance, Land Surface Temperature, Emissivity, Land Use/Land Cover Classification, Aerosol Optical Depth/Thickness | |
| Estimating the daily mean blue-sky land surface albedo on the Tibetan Plateau using convolutional neural network | Ma, Bin, Ma, Yaoming, Ma, Weiqiang, Xie, Zhipeng, Han, Cunbo, Wang, Binbin | Albedo, Anisotropy, Snow Cover, Aerosol Optical Depth/Thickness, Reflectance | |
| Estimation of global ground-level PM10 concentrations using a stacking model | Xu, Xiankang, Chen, Min, Shen, Jingwei | 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, Land Use/Land Cover Classification, Aerosol Optical Depth/Thickness, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Green spaces provide substantial but unequal urban cooling globally | Li, Yuxiang, Svenning, Jens-Christian, Zhou, Weiqi, Zhu, Kai, Abrams, Jesse F., Lenton, Timothy M., Ripple, William J., Yu, Zhaowu, Teng, Shuqing N., Dunn, Robert R., Xu, Chi | Aerosol Optical Depth/Thickness, Albedo, Anisotropy | |
| Heatwave vulnerability of large metropolitans in Bangladesh: An evaluation | Adnan, Mohammed Sarfaraz Gani, Kabir, Irfat, Hossain, Md Alamgir, Chakma, Salit, Tasneem, Syeda Nazifa, Saha, Champa Rani, Hassan, Quazi K., Dewan, Ashraf | Aerosol Optical Depth/Thickness |