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Dataset

 

ESA Sea Level Climate Change Initiative (Sea_Level_cci): A new network of virtual altimetry stations for measuring sea level along the world coastlines from 2002 to 2019 v2.2

Status: Underdevelopment
Publication State: Working
Publication Date:

Abstract

This dataset contains 17-year-long (January 2002 to December 2019 ), high-resolution (20 Hz), along-track sea level dataset in coastal zones of: Northeast Atlantic, Mediterranean Sea, whole African continent, North Indian Ocean, Southeast Asia, Australia and North and South America. 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 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: a total of 756 altimetry-based virtual coastal stations have been selected and sea level anomalies time series together with associated coastal sea level trends have been computed over the study time span.

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 (9999): ESA Sea Level Climate Change Initiative (Sea_Level_cci): A new network of virtual altimetry stations for measuring sea level along the world coastlines from 2002 to 2019 v2.2. Centre for Environmental Data Analysis, date of citation. https://catalogue.ceda.ac.uk/uuid/90049a6555d1480bb5ce9637051dede8
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:
Not defined

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

No variables found.

Coverage
Temporal Range
Start time:
2002-01-01T00:00:00
End time:
2019-12-31T23:59:59
Geographic Extent

 
60.0000°
 
-30.0000°
 
160.0000°
 
-45.0000°