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Dataset

 

ESA Sea Level Climate Change Initiative (Sea_Level_cci): A database of coastal sea level anomalies and associated trends from Jason satellite altimetry from 2002 to 2018

Status: Completed
Online Status: ONLINE
Publication State: Citable
Publication Date: 2020-10-12
Download Stats: last 12 months

Abstract

This dataset contains 17-year-long (June 2002 to May 2018 ), high-resolution (20 Hz), along-track sea level dataset in coastal zones of six regions: Mediterranean Sea, Northeast Atlantic, West Africa, North Indian Ocean, Southeast Asia and Australia. Up to now, satellite altimetry has provided global gridded sea level time series up to 10-15 km from the coast only, preventing the estimation of how sea level changes very close to the coast on interannual to decadal time scales.

This dataset has been derived from the ESA SL_cci+ v1.1 dataset of coastal sea level anomalies (also available in the catalogue, DOI:10.5270/esa-sl_cci-xtrack_ales_sla-200206_201805-v1.1-202005), which is based on the reprocessing of raw radar altimetry waveforms from the Jason-1, Jason-2 and Jason-3 satellite missions to derive satellite-sea surface ranges as close as possible to the coast (a process called ‘retracking’) and optimization of the geophysical corrections applied to the range measurements to produce sea level time series. This large amount of coastal sea level estimates has been further analysed to produce the present dataset: it consists in a selection of 429 portions of satellite tracks crossing land for which valid sea level time series are provided at monthly interval together with the associated sea level trends over the 17-year time span at each along-track 20-Hz point, from 20 km offshore to the coast.

The main objective of this dataset is to analyze the sea level trends close to the coast and compare them with the sea level trends observed in the open ocean and to determine the causes of the potential differences.

The product has been developed within the sea level project of the extension phase of the European Space Agency (ESA) Climate Change Initiative (SL_cci+). See 'The Climate Change Coastal Sea Level Team (2020). Sea level anomalies and associated trends estimated from altimetry from 2002 to 2018 at selected coastal sites. Scientific Data (Nature), in press'.

This dataset has a DOI: https://doi.org/10.17882/74354

Citable as:  The Climate Change Coastal sea level team (2020): ESA Sea Level Climate Change Initiative (Sea_Level_cci): A database of coastal sea level anomalies and associated trends from Jason satellite altimetry from 2002 to 2018. Centre for Environmental Data Analysis, date of citation. doi:10.17882/74354. http://dx.doi.org/10.17882/74354
Abbreviation: Not defined
Keywords: ESA CCI, SLA

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 product has been developed within the sea level project of the extension phase of the European Space Agency (ESA) Climate Change Initiative. A copy has been transferred to CEDA as part of the ESA CCI Open Data Portal project.

Data Quality:
The SL_cci+ XTRACK/ALES product (v1.1) has been produced based on the L2 altimeter algorithms recommended by the SL_cci.
File Format:
Data are netCDF formatted.

Process overview

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

Instrument/Platform pairings

Poseidon-2 Deployed on: JASON-1
Poseidon-3 Deployed on: JASON-2
Poseidon-3B Deployed on: JASON-3

Computation Element: 1

Title Computation of altimeter coastal sea level anomalies based on the XTRACK/ALES processing
Abstract The altimeter coastal sea level anomalies products are based on the XTRACK/ALES processing. The products benefit from the spatial resolution provided by high-rate data, the Adaptive Leading Edge Subwaveform Retracker (ALES) and the post-processing strategy of the along-track (X-TRACK) algorithm, both developed for the processing of coastal altimetry data, as well as the best possible set of geophysical corrections. For details of the processing see the Algorithm Theoretical Baseline Document in the linked documentation.
Input Description None
Output Description None
Software Reference None
Output Description None
  • units: m
  • var_id: distance_to_coast
  • long_name: Distance to GSHHS 1.3 coastline
  • names: Distance to GSHHS 1.3 coastline
  • units: mm/year
  • standard_name: tendency_of_sea_surface_height_above_sea_level
  • long_name: Geographical distribution of sea level trends
  • var_id: local_sla_trend
  • names: tendency_of_sea_surface_height_above_sea_level, Geographical distribution of sea level trends
  • units: mm/year
  • long_name: Geographical distribution of sea level trends errors
  • var_id: local_sla_trend_error
  • names: Geographical distribution of sea level trends errors
  • units: m
  • var_id: sla
  • standard_name: sea_surface_height_above_mean_sea_level
  • names: sea_surface_height_above_mean_sea_level

Co-ordinate Variables

  • units: degrees_north
  • standard_name: latitude
  • var_id: lat
  • long_name: Latitude
  • names: latitude, Latitude
  • units: degrees_east
  • standard_name: longitude
  • var_id: lon
  • long_name: Longitude
  • names: longitude, Longitude
  • standard_name: time
  • var_id: time
  • long_name: Time
  • names: time, Time
Coverage
Temporal Range
Start time:
2002-01-15T00:00:00
End time:
2018-05-30T23:59:59
Geographic Extent

 
60.0000°
 
-30.0000°
 
160.0000°
 
-45.0000°