N: 90 S: -90 E: 180 W: -180
Description
The MCD19A2 Version 6 data product was decommissioned on July 31, 2023. Users are encouraged to use the MCD19A2 Version 6.1 data product.
The MCD19A2 Version 6 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
- The longname in the internal metadata is provided incorrectly. The correct longname is "MODIS/Terra and Aqua MAIAC Land Aerosol Optical Depth Daily L2G 1 km SIN Grid."
- Additional known issues are described on page 14 of the User Guide.
- For complete information about known issues please refer to the MODIS/VIIRS Land Quality Assessment website.
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 formatted as AYYYYDDD (A2002281), the Tile Identifier which is horizontal tile and vertical tile provided as hXXvYY (h33v11), the Version of the data collection (006), the Julian Date and Time of Production designated as YYYYDDDHHMMSS (2018017104530), and the Data Format (hdf).
Documents
USER'S GUIDE
ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD)
PRODUCT QUALITY ASSESSMENT
Publications Citing This Dataset
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| Aerosol characteristics from earth observation systems: A comprehensive investigation over South Asia (20002019) | Mhawish, Alaa, Sorek-Hamer, Meytar, Chatfield, Robert, Banerjee, Tirthankar, Bilal, Muhammad, Kumar, Manish, Sarangi, Chandan, Franklin, Meredith, Chau, Khang, Garay, Michael, Kalashnikova, Olga | Aerosol Optical Depth/Thickness, Aerosol Extinction, Sulfur Dioxide, Aerosol Extinction | |
| A Study from Space of Anomalous Variations of Various Geophysical Fields during the Preparation of a Series of Strong Earthquakes in Italy in 20162017 | Bondur, V. G., Tsidilina, M. N., Voronova, O. S., Feoktistova, N. V. | Aerosol Optical Depth/Thickness, 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 | |
| Investigation of an Intense Dust Outbreak in the Mediterranean Using XMed-Dry Network, Multiplatform Observations, and Numerical Modeling | Rizza, Umberto, Kandler, Konrad, Eknayan, Melanie, Passerini, Giorgio, Mancinelli, Enrico, Virgili, Simone, Morichetti, Mauro, Nolle, Michael, Eleftheriadis, Konstantinos, Vasilatou, Vasiliki, Ielpo, Pierina | 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 1.0), PARTICULATE MATTER (PM 10) | |
| Nighttime smoke aerosol optical depth over U.S. rural areasFirst retrieval from VIIRS moonlight observations | Zhou, Meng, Wang, Jun, Chen, Xi, Xu, Xiaoguang, Colarco, Peter R., Miller, Steven D., Reid, Jeffrey S., Kondragunta, Shobha, Giles, David Matthew, Holben, Brent | Aerosol Optical Depth/Thickness, Reflectance, Geopotential Height, Atmospheric Ozone, Pressure Thickness, Sea Level Pressure, Surface Pressure, Air Temperature, Upper Air Temperature, Atmospheric Water Vapor, Cloud Liquid Water/Ice, Cloud Fraction, U/V Wind Components, U/V Wind Components, Ozone Profiles | |
| Prospects for Long-Term Agriculture in Southern Africa: Emergent | Wei, Tiffany M., Barros, Ana P. | Aerosol Optical Depth/Thickness, Land Use/Land Cover Classification, Surface Pressure, Heat Flux, Longwave Radiation, Shortwave Radiation, Air Temperature, Specific Humidity, Evapotranspiration, Wind Speed, Rain, Snow, Soil Moisture/Water Content, Soil Temperature, Land Surface Temperature, Snow Cover, Snow Depth, Snow Water Equivalent, Runoff, Reflectance, Anisotropy, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Albedo, Precipitation, Precipitation Amount, Precipitation Rate, Emissivity | |
| Improvement in air quality and its impact on land surface temperature in major urban areas across India during the first lockdown of the pandemic | Parida, Bikash Ranjan, Bar, Somnath, Roberts, Gareth, Mandal, Shyama Prasad, Pandey, Arvind Chandra, Kumar, Manoj, Dash, Jadunandan | Aerosol Optical Depth/Thickness, Land Surface Temperature, Emissivity, Aerosol Extinction, Aerosol Extinction, Aerosol Optical Depth/Thickness, Aerosol Optical Depth/Thickness, Aerosol Optical Depth/Thickness | |
| Impact of COVID-19 on the air quality over china and india using long-term (2009-2020) multi-satellite data | Soni, Manish, Verma, Sunita, Jethava, Hiren, Payra, Swagata, Lamsal, Lok, Gupta, Priyanshu, Singh, Janhavi | Nitrogen Dioxide, Aerosol Optical Depth/Thickness, Aerosol Extinction | |
| A Development of PM Concentration Reanalysis Method using CMAQ with Surface Data Assimilation and MAIAC AOD in Korea | Koo, Youn-Seo, Choi, Dae-Ryun, Yun, Hui-Young, Yoon, Geon-Woo, Lee, Joung-Beom | Aerosol Optical Depth/Thickness | |
| 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) | |
| 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 | |
| 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 | |
| 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 | |
| Validation of GRASP algorithm product from POLDER/PARASOL data and assessment of multi-angular polarimetry potential for aerosol monitoring | Chen, Cheng, Dubovik, Oleg, Fuertes, David, Litvinov, Pavel, Lapyonok, Tatyana, Lopatin, Anton, Ducos, Fabrice, Derimian, Yevgeny, Herman, Maurice, Tanre, Didier, Remer, Lorraine A., Lyapustin, Alexei, Sayer, Andrew M., Levy, Robert C., Hsu, N. Christina, Descloitres, Jacques, Li, Lei, Torres, Benjamin, Karol, Yana, Herrera, Milagros, Herreras, Marcos, Aspetsberger, Michael, Wanzenboeck, Moritz, Bindreiter, Lukas, Marth, Daniel, Hangler, Andreas, Federspiel, Christian | Aerosol Optical Depth/Thickness | |
| Investigating the significance of aerosols in determining the Coronavirus fatality rate among three European countries | Li, Wenzhao, Thomas, Rejoice, El-Askary, Hesham, Piechota, Thomas, Struppa, Daniele, Abdel Ghaffar, Khaled A. | Aerosol Optical Depth/Thickness | |
| 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) | |
| Effect of lockdown due to SARS COVID-19 on aerosol optical depth (AOD) over urban and mining regions in India | Ranjan, Avinash Kumar, Patra, A.K., Gorai, A.K. | Aerosol Optical Depth/Thickness | |
| 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 | |
| Limitations of cloud cover for optical remote sensing of agricultural areas across South America | Prudente, Victor Hugo Rohden, Martins, Vitor Souza, Vieira, Denis Corte, Silva, Nildson Rodrigues de Franca e, Adami, Marcos, Sanches, Ieda DelArco | Aerosol Optical Depth/Thickness, Crop/Plant Yields, Land Use Classes, Landscape Patterns, Cropland | |
| 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 | |
| Spatial and temporal variations of air pollution over 41 cities of India during the COVID-19 lockdown period | Vadrevu, Krishna Prasad, Eaturu, Aditya, Biswas, Sumalika, Lasko, Kristofer, Sahu, Saroj, Garg, J. K., Justice, Chris | Aerosol Optical Depth/Thickness | |
| The Influence of Seasonal Meteorology on Vehicle Exhaust PM2. 5 in the State of California: A Hybrid Approach Based on Artificial Neural Network and Spatial ... | Yu, Fan, Mohebbi, Amin, Cai, Shiqing, Akbariyeh, Simin, Russo, Brendan J., Smaglik, Edward J. | Aerosol Optical Depth/Thickness | |
| The Relationship Between MAIAC Smoke Plume Heights and Surface PM | Cheeseman, M., Ford, B., Volckens, J., Lyapustin, A., Pierce, J. R. | Aerosol Optical Depth/Thickness | |
| 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 |