Product Types Introduction

Sentinel-3 OLCI Product Types introduction

The OLCI product types distributed to Users are divided into three main products.

  • Level-1 Processing:

Level-1B product

The Level-1 product provides radiances for each pixel in the instrument grid, each view and each OLCI channel, plus annotation data associated to OLCI pixels.

In addition to the Level-1B OLCI product, the SENTINEL-3 SYN product is produced by combining products of OLCI and SLSTR instruments. More information on the SYN product can be found on the Sentinel-3 Synergy User Guide pages.

  • Level-2 Processing:

Level-2 Land products

The level-2 land product provides land and atmospheric geophysical parameters computed for full and Reduced Resolution.

OLCI Level2 Products are:

  • OL_2_LFR             Land Full Resolution
  • OL_2_LRR             Land Reduced Resolution

Level-2 water products

The Level-2 water product provides water and atmospheric geophysical parameters computed for Full and Reduced Resolution.

For further information about OLCI products, please see the Technical Guide Level-1 products or Level-2 products pages.

Sentinel 3 OLCI products can be associated with different timeliness:

  • The Near Real Time (NRT) timeliness implies a delivery in less than 3 hours after data acquisition. This timeliness is mainly used for marine meteorology and ocean-atmosphere gas transfer studies.
  • The Non-Time Critical (NTC) timeliness is typically defined for deliveries within 1 month after data acquisition. This additional delay allows consolidation of some auxiliary or ancillary data (e.g. precise orbit data) and the data are mainly used for geophysical studies and operational oceanography.

As consequences, OLCI L1/L2 scenes can be found twice, processed in NRT and NTC conditions and including the following suffix "NR" or "NT" in their filename.

The differences between NRT and NTC products are due to auxiliary data : consolidated Orbit files used in NTC processing; Forecast ECMWF Meteorological dataset used in NRT processing instead of analysis ECMWF data in NTC processing.

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