Creator: LANCEMODIS
Keywords: Aerosol Optical Depth/Thickness

Data at a Glance

Description

The Moderate Resolution Imaging Spectroradiometer (MODIS) Near Real Time (NRT) Combined Terra and Aqua Multi-Angle Implementation of Atmospheric Correction (MAIAC) Land Aerosol Optical Depth gridded Level 2 product (MCD19A2N) produced daily at 1 kilometer (km) pixel resolutions. The MCD19A2N product provides the atmospheric properties and view geometry used to calculate the MAIAC Land Surface Bidirectional Reflectance Factor (BRF) or surface reflectance, MCD19A1N product.

The Version 6.1 Level-1B (L1B) products have been improved by undergoing various calibration changes that include: changes to the response-versus-scan angle (RVS) approach that affects reflectance bands for Aqua and Terra MODIS, corrections to adjust for the optical crosstalk in Terra MODIS infrared (IR) bands, and corrections to the Terra MODIS forward look-up table (LUT) update for the period 2012 - 2017. A polarization correction has been applied to the L1B Reflective Solar Bands (RSB).

Product Summary

Platforms

Terra ,

Aqua

Instruments

MODIS

Spatial Extent

N: 90 S: -90 E: 180 W: -180

Spatial Resolution

1 Kilometers x 1 Kilometers

Location

GLOBAL

Coordinate System

CARTESIAN

Granule Spatial Representation

GEODETIC

Temporal Extent

2022-08-01 to Present

Data Partner

Land, Atmosphere Near real-time Capability for EOS (LANCE) Moderate Resolution Imaging Spectroradiometer (MODIS) (NASA/GSFC/EOS/ESDIS/LANCE MODIS)

Concept ID

C2407807500-LANCEMODIS

Data State

ACTIVE

Processing Level

Published

2022-08-01

Science Keywords

Aerosol Optical Depth/Thickness

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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Select a Citation Style:

NASA MODIS Science Data Support Team. (2022). MODIS/Terra+Aqua Land Aerosol Optical Depth Daily L2G Global 1km SIN Grid [Data set]. NASA LANCE MODIS at the MODAPS. https://doi.org/10.5067/MODIS/MCD19A2N.NRT.061 Date Accessed: 2026-05-03

Publications Citing This Dataset

Title	Year Sort ascending	Author	Topic
XIS-PM2.5: A daily spatiotemporal machine-learning model for PM2.5 in	2025	Just, Allan C., Arfer, Kodi B., Rush, Johnathan, Lyapustin, Alexei, Kloog, Itai	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 1.0), PARTICULATE MATTER (PM 10), Population Size, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI)