MODIS/Aqua Total Precipitable Water Vapor 5-Min L2 Swath 1km and 5km V006

Metadata Updated: August 9, 2018

MODIS/Aqua Total Precipitable Water Vapor 5-Min L2 Swath 1km and 5km (MYD05_L2).

MODIS was launched aboard the Terra satellite on December 18, 1999 (10:30 am equator crossing time) as part of NASA's Earth Observing System (EOS) mission. MODIS with its 2330 km viewing swath width provides almost daily global coverage. It acquires data in 36 high spectral resolution bands between 0.415 to 14.235 microns with spatial resolutions of 250m(2 bands), 500m(5 bands),and 1000m (29 bands). MODIS sensor counts, calibrated radiances, geolocation products and all derived geophysical atmospheric and ocean products are archived at NASA Goddard DAAC and has been made available to public since April 2000.

The MYD05_L2 product consists of total atmospheric column water vapor amounts (and ancillary parameters) over clear land areas of the globe, over extended clear oceanic areas with the Sun glint, and above clouds over both land and ocean. The shortname for this level-2 MODIS total precipitable water vapor product is MYD05_L2. In Collection 6, MODIS column water vapor (MOD05) datasets continue to be separately available from infrared and near-infrared methods.

The estimates based on a near-infrared algorithm uses only daytime measurements with solar zenith angle less than 72 degrees. The retrieval algorithm relies on observations of water vapor attenuation of near-infrared solar radiation reflected by surfaces and clouds. The product is produced only over areas that have reflective surfaces in the near-infrared. The near-infrared algorithm refinement for this product is no longer being supported by NASA and as such there has been no update to this algorithm for Collection 6 (C6).

The clear-sky infrared-derived precipitable water vapor generated for both daytime and nighttime conditions is derived from the previously reprocessed Atmospheric Profile (MOD07) C6 product that included a new layer scheme for total precipitable water.

MYD05_L2 product files are stored in Hierarchical Data Format (HDF-EOS). The file contains 13 gridded parameters. Each of these gridded MOD05 parameters is stored as a Scientific Data Set (SDS) within the HDF-EOS file. The Water Vapor and Quality Assurance SDS's are stored at 1 kilometer (near-infrared) and 5 kilometer (for infrared) pixel resolution. All other SDS's (those relating to time, geolocation, and viewing geometry) are stored at 5 kilometer pixel resolution. The Cloud Mask SDS, copied from the MOD35_L2 Product is stored at 1 kilometer resolution.
The near-infrared water vapor estimates are very sensitive to boundary layer water vapor since they are derived from atmospheric attenuation of surface reflected radiances. This product is essential to the understanding of hydrological cycle, aerosol properties, aerosol-cloud interactions, energy budget, and climate.

For more information about the MYD05_L2 product, visit the MODIS-Atmosphere site at:


Visit the MODIS Science Team homepage:

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Metadata Created Date August 9, 2018
Metadata Updated Date August 9, 2018

Metadata Source

Harvested from NASA Data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date August 9, 2018
Metadata Updated Date August 9, 2018
Publisher Not provided
Unique Identifier C203234447-LAADS
Maintainer Email
Public Access Level public
Bureau Code 026:00
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Harvest Source Title NASA Data.json
Data First Published 2014-01-01T00:00:00.000Z
Language en-US
Metadata Type geospatial
Data Last Modified 2018-04-04T00:00:00Z
Program Code 026:001
Publisher Hierarchy U.S. Government > National Aeronautics and Space Administration > Not provided
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Source Hash f85faad6e9b3eaa4f2d768513f1dc45343fdce3a
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Temporal 2002-07-04T00:00:00Z/2018-04-04T00:00:00Z
Category AQUA, geospatial

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