OMDOAO3: Aura Satellite Ozone Column Measurements

OMI/Aura DOAS Total Column Ozone 1-Orbit L2 Swath 13x24 km V003 (OMDOAO3) is a NASA satellite dataset providing global total ozone column measurements. The data are derived from the Ozone Monitoring Instrument using the Differential Absorption Spectroscopy technique on UV radiance between 331.1 and 336.1 nm. Each file contains pixel-level data from the sunlit portion of an orbit, including auxiliary parameters like cloud fraction, scene reflectivity, and quality flags.

Use Cases

• Monitoring stratospheric ozone depletion and recovery based on daily global column measurements.
• Assessing the influence of cloud cover on ozone retrievals using the included cloud fraction and cloud pressure data.
• Validating other satellite or model-based ozone data using the detailed geolocation and quality flag information.
• Analyzing spatial and temporal trends in UV-absorbing aerosols via the scene reflectivity and radiance parameters.

Strengths

• Provides high-resolution global data at a pixel resolution of 13x24 km at nadir.
• Contains a detailed set of derived and ancillary parameters, including ozone slant column density, air mass factor, and viewing angles.
• Data is hosted by NASA's authoritative GES DISC and has a designated lead scientist (Dr. J. Pepijn Veefkind).

Limitations

• Key metadata such as row count, column names, and exact temporal coverage are unavailable across all sources.
• The core data was processed in late 2011 using an algorithm version (1.2.3) from that era, which may not reflect the latest scientific methods.
• Documentation is described as being in multiple formats (BIN, PDF, etc.), which may complicate access for some users.

Provenance

Source

NASA Goddard Earth Sciences Data and Information Services Center (GES DISC)

Collection Method

Satellite remote sensing via the Aura spacecraft's Ozone Monitoring Instrument (OMI), using the Differential Absorption Spectroscopy (DOAS) fitting technique.

Time Range

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Freshness

2026-04-09 23:17:49.823173

Geography

Global