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Dataset

 

ESA Sea Level Climate Change Initiative (Sea_level_cci): Arctic Sea Level Anomalies from ENVISAT and SARAL/Altika satellite altimetry missions (by CLS/PML)

Latest Data Update: 2021-12-09
Status: Completed
Online Status: ONLINE
Publication State: Published
Publication Date: 2021-12-16
Download Stats: last 12 months
Dataset Size: 3.71K Files | 545MB

Abstract

This dataset contains estimations of Arctic sea level anomalies produced by the ESA Sea Level Climate Change Initiative project (Sea_level_cci), based on satellite altimetry from the ENVISAT and SARAL/Altika satellites. It has been produced by Collecte Localisation Satellites (CLS) and the Plymouth Marine Laboratory (PML).

The retrieval of sea level in the Arctic sea ice covered region requires specific processing steps of the satellite altimetry measurements. For this dataset, a specific radar waveform classification method has been applied based on a neural network approach, and the waveform retracking is based on a new adaptive retracking that is able to process both open ocean and peaky echoes measured in leads without introducing any bias between the two types of surfaces. Editing and mapping processing steps have been optimized for this dataset

Citable as:  ESA Sea Level CCI project team (2021): ESA Sea Level Climate Change Initiative (Sea_level_cci): Arctic Sea Level Anomalies from ENVISAT and SARAL/Altika satellite altimetry missions (by CLS/PML). NERC EDS Centre for Environmental Data Analysis, date of citation. https://catalogue.ceda.ac.uk/uuid/b98db73607354c7b8ba9bc9347ceb9ed
Abbreviation: Not defined
Keywords: ESA, CCI, Sea level

Details

Previous Info:
No news update for this record
Previously used record identifiers:
No related previous identifiers.
Access rules:
Public data: access to these data is available to both registered and non-registered users.
Use of these data is covered by the following licence: http://licences.ceda.ac.uk/image/data_access_condition/esacci_sealevel_terms_and_conditions.pdf. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data lineage:

The dataset has been produced by the Sea Level project of the ESA Climate Change Initiative programme. It has been supplied to CEDA for archiving in the context of the CCI Open Data Portal.

Data Quality:
Data are as provided by the Sea Level CCI project team
File Format:
Data are in NetCDF format

Process overview

This dataset was generated by a combination of instruments deployed on platforms and computations as detailed below.

Instrument/Platform pairings

Radar Altimeter 2 (RA-2) Deployed on: Envisat
AltiKa Deployed on: SARAL (Satellite with ARGOS and AltiKa)

Computation Element: 1

Title Retrieval algorithm for the ESA Sea Level Climate Change Initiative (Sea_level_cci): Arctic Sea Level Anomalies from ENVISAT and SARAL/Altika satellite altimetry missions (by CLS/PML)
Abstract The retrieval of sea level in the Arctic sea ice covered region requires specific processing steps of the satellite altimetry measurements. For this dataset, a specific radar waveform classification method has been applied based on a neural network approach, and the waveform retracking is based on a new adaptive retracking that is able to process both open ocean and peaky echoes measured in leads without introducing any bias between the two types of surfaces. Editing and mapping processing steps have been optimized for this dataset
Input Description None
Output Description None
Software Reference None
Output Description

None

  • units: degree
  • var_id: LatLonMin
  • long_name: Latitude/Longitude of south/ouest corner
  • units: degrees_north
  • var_id: NbLatitudes
  • long_name: Latitudes
  • units: degrees_east
  • var_id: NbLongitudes
  • long_name: Longitudes
  • units: count
  • var_id: LatLon
  • long_name: No sense but necessary for some automatic tools
  • units: percent
  • var_id: Grid_0003
  • long_name: Sea Ice Fraction
  • units: m
  • var_id: Grid_0002
  • long_name: Sea Level Anomaly Standard Deviation
  • units: m
  • var_id: Grid_0001
  • long_name: Sea Level Anomaly in classes 1 and 2
  • units: degree
  • var_id: LatLonStep
  • long_name: latitude/longitude steps

Co-ordinate Variables

Coverage
Temporal Range
Start time:
2003-01-01T00:00:00
End time:
2016-09-29T23:59:59
Geographic Extent

 
82.0000°
 
-180.0000°
 
180.0000°
 
50.0000°