EOSDIS Standard Products
Since the 1990s, NASA Earth Science standard products resulting from peer-reviewed and competitively awarded science algorithms (and associated observing instruments) have been stored in the EOSDIS. Principal investigators (PIs) and Science Teams (STs) develop and maintain the algorithms and product generation software and ensure science quality and integrity of the products. The Distributed Active Archive Centers (DAACs) are committed to archive and distribute all EOSDIS Standard Products.
Standard Products, as defined by their PIs, consist of geophysical measurements from various types of instruments. The products often depict geophysical measurements in various geographic projections, grid resolutions, parameter and time aggregates, and algorithm versions. As such, they may be represented by multiple product dataset collections. Information about the product collections archived at the DAACs are recorded in NASA's Common Metadata Repository (CMR). Lists of these collections have been extracted from the CMR to summarize the standard products that are currently available. Three lists, current as of August 5, 2020 are available below:
- Standard Products available from Earth Observing System (EOS) missions (.xls)
- Standard Products available from Suomi NPP and NOAA-20 (.xls)
- Near Real-Time (NRT) Products (.xls)
Descriptions of the spreadsheet column metadata and how to use these tables:
This metadata field describes DAACs and their personnel or internal groups responsible for originating, processing, archiving, and/or distributing the data and metadata. The name maps to one of the DAACs.
Short Name and Version
The collection short name and version is defined by the PI, ST, and Science Investigator-led Processing System (SIPS) in coordination with the DAAC. The short name and version ID combination are unique.
This is the free-form title of the collection as defined by the PI, ST, and SIPS in coordination with the DAAC. It often includes the processing level, the geophysical parameter, the geographic or vertical map resolution, and the collection version. In some cases multiple collection names will be associated with a single standard product. The names may be used to indicate or suggest how their contents relate. For example, Moderate Resolution Imaging Spectroradiometer (MODIS) geolocation data files should be associated with the MODIS files having geophysical parameter names. Various reprojections, grid resolutions, or time aggregations may be stored in separate product collections.
Definitions from EOSDIS Terminology Specification 423-SPEC-002:
- Level 0 (L0): reconstructed, unprocessed instrument or platform data at full resolution.
- Level 1A (L1A): reconstructed, unprocessed instrument data at full resolution, time-referenced, and annotated with ancillary information, including radiometric and geometric calibration coefficients and georeferencing parameters, e.g., platform ephemeris, computed and appended but not applied to the Level 0 data.
- Level 1B (L1B): Level 1A data that have been processed to sensor units.
- Level 2 (L2): Derived geophysical variables at the same resolution and location as the Level 1 source data.
- Level 3 (L3): Level 3 data products are variables mapped on uniform space-time grid scales.
- Level 4 (L4): Level 4 data products are model output or results from analyses of lower level data, e.g., variables derived from multiple measurements.
This metadata field describes the relevant on-orbit platform used to acquire the data. For products that incorporate data from multiple missions, we assign the spacecraft name to the EOS or partner spacecraft (e.g., Suomi NPP, NOAA-20, GCOM-W).
Describes the time in which the data set was acquired or when the measurements occurred for a specific collection. The start time can represent the beginning data time, a single data time, or the data time for the period covered by the collection.
The definition of EOS Standard Products was derived from the Earth Science Reference Handbook (Edited by Parkinson, Ward, King), 2006.
Page Last Updated: Sep 10, 2020 at 11:38 AM EDT