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 |
|---|---|---|---|
| Emergence of urban clustering among US cities under environmental stressors | Wang, Chenghao, Wang, Zhi-Hua, Li, Qi | Aerosol Optical Depth/Thickness, Land Surface Temperature, Emissivity | |
| Aerosol pattern changes over the dead sea from west to east - Using high-resolution satellite data | Lee, Sever, Pinhas, Alpert, Alexandra, Chudnovsky A. | Aerosol Optical Depth/Thickness | |
| A satellite-based high-resolution (1-km) ambient PM2.5 database for India over two decades (20002019)Applications for air quality management | Dey, Sagnik, Purohit, Bhavesh, Balyan, Palak, Dixit, Kuldeep, Bali, Kunal, Kumar, Alok, Imam, Fahad, Chowdhury, Sourangsu, Ganguly, Dilip, Gargava, Prashant, Shukla, V. K. | Aerosol Optical Depth/Thickness | |
| A satellite-based spatio-temporal machine learning model to reconstruct daily PM2. 5 concentrations across Great Britain | Schneider, Rochelle, Vicedo-Cabrera, Ana, Sera, Francesco, Masselot, Pierre, Stafoggia, Massimo, de Hoogh, Kees, Kloog, Itai, Reis, Stefan, Vieno, Massimo, Gasparrini, Antonio | Aerosol Optical Depth/Thickness, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Assessment of natural and anthropogenic aerosol air pollution in the | Ukhov, Alexander, Mostamandi, Suleiman, da Silva, Arlindo, Flemming, Johannes, Alshehri, Yasser, Shevchenko, Illia, Stenchikov, Georgiy | Aerosol Optical Depth/Thickness | |
| Application of low-cost fine particulate mass monitors to convert satellite aerosol optical depth to surface concentrations in North America and Africa | Malings, Carl, Westervelt, Daniel M., Hauryliuk, Aliaksei, Presto, Albert A., Grieshop, Andrew, Bittner, Ashley, Beekmann, Matthias | Aerosol Optical Depth/Thickness | |
| Anthropogenic forcing exacerbating the urban heat islands in India | Raj, Sarath, Paul, Saikat Kumar, Chakraborty, Arun, Kuttippurath, Jayanarayanan | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Total Surface Precipitation Rate, Land Surface Temperature, Emissivity, Aerosol Optical Depth/Thickness, Land Use/Land Cover Classification | |
| Climatic impacts of bushland to cropland conversion in Eastern Africa | Abera, Temesgen Alemayehu, Heiskanen, Janne, Pellikka, Petri K.E., Adhikari, Hari, Maeda, Eduardo Eiji | Aerosol Optical Depth/Thickness, Reflectance, Albedo, Anisotropy | |
| Ensemble-based deep learning for estimating PM2.5 over California with multisource big data including wildfire smoke | Li, Lianfa, Girguis, Mariam, Lurmann, Frederick, Pavlovic, Nathan, McClure, Crystal, Franklin, Meredith, Wu, Jun, Oman, Luke D., Breton, Carrie, Gilliland, Frank, Habre, Rima | Aerosol Optical Depth/Thickness, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Machine Learning-Based Integration of High-Resolution Wildfire Smoke | Zou, Yufei, ONeill, Susan M., Larkin, Narasimhan K., Alvarado, Ernesto C., Solomon, Robert, Mass, Clifford, Liu, Yang, Odman, M. Talat, Shen, Huizhong | Aerosol Optical Depth/Thickness | |
| MAIAC thermal technique for smoke injection height from MODIS | Lyapustin, Alexei, Wang, Yujie, Korkin, Sergey, Kahn, Ralph, Winker, David | Aerosol Optical Depth/Thickness | |
| Impacts of increased urbanization on surface temperature, vegetation, and aerosols over Bengaluru, India | Sussman, Heather S., Raghavendra, Ajay, Zhou, Liming | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Plant Phenology, Land Surface Temperature, Emissivity, Aerosol Optical Depth/Thickness, Land Use/Land Cover Classification | |
| The AFWA dust emission scheme for the GOCART aerosol model in WRF-Chem v3. 8.1 | LeGrand, Sandra L., Polashenski, Chris, Letcher, Theodore W., Creighton, Glenn A., Peckham, Steven E., Cetola, Jeffrey D. | Aerosol Optical Depth/Thickness | |
| Study Design, Protocol and Profile of the Maternal And Developmental | Bastain, Theresa M., Chavez, Thomas, Habre, Rima, Girguis, Mariam S., Grubbs, Brendan, Toledo-Corral, Claudia, Amadeus, Milena, Farzan, Shohreh F., Al-Marayati, Laila, Lerner, Deborah, Noya, David, Quimby, Alyssa, Twogood, Sara, Wilson, Melissa, Chatzi, Leda, Cousineau, Michael, Berhane, Kiros, Eckel, Sandrah P., Lurmann, Fred, Johnston, Jill, Dunton, Genevieve F., Gilliland, Frank, Breton, Carrie | Aerosol Optical Depth/Thickness | |
| Using gap-filled MAIAC AOD and WRF-Chem to estimate daily PM2.5 concentrations at 1 km resolution in the Eastern United States | Goldberg, Daniel L., Gupta, Pawan, Wang, Kai, Jena, Chinmay, Zhang, Yang, Lu, Zifeng, Streets, David G. | Aerosol Optical Depth/Thickness | |
| Connecting crop productivity, residue fires, and air quality over northern India | Jethva, Hiren, Torres, Omar, Field, Robert D., Lyapustin, Alexei, Gautam, Ritesh, Kayetha, Vinay | Aerosol Optical Depth/Thickness, Land Surface Temperature, Fire Occurrence, Surface Thermal Properties, THERMAL ANOMALIES, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Aerosol Extinction | |
| Acute effects of air pollution on mortality: a 17-year analysis in Kuwait | Achilleos, Souzana, Al-Ozairi, Ebaa, Alahmad, Barrak, Garshick, Eric, Neophytou, Andreas M., Bouhamra, Walid, Yassin, Mohamed F., Koutrakis, Petros | Aerosol Optical Depth/Thickness | |
| Accuracy assessment of MODIS land aerosol optical thickness algorithms using AERONET measurements over North America | Jethva, Hiren, Torres, Omar, Yoshida, Yasuko | Aerosol Optical Depth/Thickness, Reflectance, 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 | |
| Assessing uncertainties of a geophysical approach to estimate surface fine particulate matter distributions from satellite-observed aerosol optical depth | Jin, Xiaomeng, Fiore, Arlene M., Curci, Gabriele, Lyapustin, Alexei, Civerolo, Kevin, Ku, Michael, van Donkelaar, Aaron, Martin, Randall V. | Aerosol Optical Depth/Thickness | |
| First Provisional Land Surface Reflectance Product from Geostationary | Li, Shuang, Wang, Weile, Hashimoto, Hirofumi, Xiong, Jun, Vandal, Thomas, Yao, Jing, Qian, Lexiang, Ichii, Kazuhito, Lyapustin, Alexei, Wang, Yujie, Nemani, Ramakrishna | Aerosol Optical Depth/Thickness, Reflectance, Snow Grain Size, Snow Cover | |
| MODIS collection 6 MAIAC algorithm | Lyapustin, Alexei, Wang, Yujie, Korkin, Sergey, Huang, Dong | Aerosol Optical Depth/Thickness, Reflectance, Snow Grain Size, Snow Cover | |
| Ground-Level PM2.5 Concentration Estimation from Satellite Data in the | Li, Ying, Xue, Yong, Guang, Jie, She, Lu, Fan, Cheng, Chen, Guili | Aerosol Optical Depth/Thickness |