Data Set ID: 

High Mountain Asia MODIS Aerosol Optical Depth, Version 1

This data set contains monthly mean MODIS Level 3 data from aboard the Aqua and Terra satellites. The parameters provided in this data set are aerosol optical depth (AOD) and Angstrom exponent (AE) at a spatial resolution of 1º by 1º.

This is the most recent version of these data.

Version Summary: 

Initial release

STANDARD Level of Service

Data: Data integrity and usability verified

Documentation: Key metadata and user guide available

User Support: Assistance with data access and usage; guidance on use of data in tools

See All Level of Service Details

Data Format(s):
  • ASCII Text
Spatial Coverage:
N: 48.5, 
S: 9.5, 
E: 99.5, 
W: 55.5
Platform(s):Aqua, Terra
Spatial Resolution:
  • 1º x 1º
Temporal Coverage:
  • 1 February 2000 to 31 March 2019
Temporal Resolution1 monthMetadata XML:View Metadata Record
Data Contributor(s):Si-Chee Tsay, Woogyung Kim

Geographic Coverage

Other Access Options

Other Access Options


As a condition of using these data, you must cite the use of this data set using the following citation. For more information, see our Use and Copyright Web page.

Tsay, S. and W. V. Kim. 2019. High Mountain Asia MODIS Aerosol Optical Depth, Version 1. [Indicate subset used]. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. doi: [Date Accessed].

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No technical references available for this data set.

How To

Programmatic Data Access Guide
Data from the NASA National Snow and Ice Data Center Distributed Active Archive Center (NSIDC DAAC) can be accessed directly from our HTTPS file system or through our Application Programming Interface (API). Our API offers you the ability to order data using specific temporal and spatial filters... read more
Filter and order from a data set web page
Many NSIDC data set web pages provide the ability to search and filter data with spatial and temporal contstraints using a map-based interface. This article outlines how to order NSIDC DAAC data using advanced searching and filtering.  Step 1: Go to a data set web page This article will use the... read more