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  • News (3)
  • Tools (2)
  • News - Data Release news

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    FDR4ALT - ESA unveils new cutting-edge ERS/Envisat Altimeter and Microwave Radiometer Datasets

    The European Space Agency (ESA) has developed a comprehensive suite of innovative Earth system data records as part of the Fundamental Data Records for Altimetry project - FDR4ALT.

  • News - Success Stories

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    10 years of Envisat data help to illuminate ocean processes

    A decade after Envisat beamed its final image to the planet, the pioneering ESA mission is continuing to foster improved understanding of Earth’s systems.

  • News - Spotlight on EO community

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    Introducing Mirko Albani

    In this short introduction, ESA's Heritage Missions Programme Manager describes what he likes most about ESA's long term archive of satellite mission data and his role in the programme.

  • Tools - Apps

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    Heritage Missions app for iOS

    Download the Heritage Missions application to discover what the missions were about, how it worked and what the elements of the space and ground segment that make these missions unique.

  • Tools - Apps

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    Heritage Missions app for Android

    Download the Heritage Missions application to discover what the missions were about, how it worked and what the elements of the space and ground segment that make these missions unique.

  • Data - Fast Registration with immediate access (Open)

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    Envisat RA-2 Geophysical Data Record - GDR [RA2_GDR__2P]

    This is a RA-2 Geophysical Data Record (GDR) Full Mission Reprocessing (FMR) V3 product containing radar range and orbital altitude, wind speed, wave height, water vapour from the MWR and geophysical corrections. This FMR follows the first Envisat Altimetry reprocessing Version (V2.1) completed in 2012. The GDR and S-GDR data products were reprocessed for all cycles from 6 to 113 (May 2002 to April 2012) into a homogeneous standard in NetCDF format (close to Sentinel-3). For many aspects, the V3.0 reprocessed data are better than the previous dataset: In terms of available and valid data, the coverage is better, notably thanks to a better availability of MWR data at the beginning of the mission In terms of performance at cross-overs, the quality is improved: the annual signal and average of Mean SSH is decreased, as well as the standard deviation The new MWR characteristics were shown to improve largely the global quality of data. As well as the new tide model, the new MSS and the new orbit standard The Global and regional Mean Sea Level trend is very weakly impacted though the effort was put, this time, on the mesoscale restitution, rather than long term drift, as during V2.1 reprocessing. Please consult the Envisat RA-2/MWR Product Quality Readme file PDF before using the data.

  • Data - Fast Registration with immediate access (Open)

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    Envisat RA-2 Sensor and Geophysical Data Record - SGDR [RA2_MWS__2P]

    This is a RA-2 Sensor and Geophysical Data Record (SGDR) Full Mission Reprocessing (FMR) V3 product. This FMR follows the first Envisat Altimetry reprocessing Version (V2.1) completed in 2012. The GDR and S-GDR data products were reprocessed for all cycles from 6 to 113 (May 2002 to April 2012) into a homogeneous standard in NetCDF format (close to Sentinel-3). The Sensor Data Record (SGDR) Product from RA-2/MWR includes the data in the GDR product (RA-2 geophysical data, MWR data) and also RA-2 averaged waveforms (18Hz) and RA-2 individual waveforms (1800Hz). This product is a continuation of ERS RA data. This data product has a coverage of 1 pass and pole to pole, a spatial sampling of about 390 m along track and a size of 31 to 40 MB, depending on presence of individual waveforms. The radiometric accuracy is 0.2 dB and auxiliary data include: Orbit state vectors (DORIS, FOS), RA2 and MWR characterisation data, Platform attitude, Gain calibration, USO frequency, ECMWF data, time relation, leap second, Ionospheric corrections, geoid, mean sea surface, slope data, and tide model (ocean, earth, loading, pole). Please consult the Envisat RA-2/MWR Product Quality Readme file before using the data.