ESA Sea Level Climate Change Initiative (Sea_Level_cci): Regional coastline profile of Vertical Land Motions in Europe and SE Asia/Oceania (2002-2020) from the JASON satellites, v1.1
This dataset contains vertical land motions that have been estimated as the difference between altimeter along-track sea level measurements SL_cci+ v1.1 dataset and tide gauge measurements from the PSMSL network.
Spatial interpolation has allowed the production of regularly spaced coastline profile of vertical land movements together with their uncertainties. Altimeter input data are the Jason-1, Jason-2 and Jason-3 missions during the period January 2002 - January 2020.
Point-wise VLM estimates are interpolated along the coastlines with Bayesian transdimensional regression for the macro-regions Europe and South-East-Asia/Australia (SEA_Australia). Based on the ESA SL_cci+ XTRACK/ALES dataset (v1.1, https://doi.org/10.5270/esa-sl_cci-xtrack_ales_sla-200206_201805-v1.1-202005), also available at https://catalogue.ceda.ac.uk/uuid/222cf11f49a94d2da8a6da239df2efc4 and monthly PSMSL tide gauge data. Altimetry data are combined according to the RMS criterium.
Altimeter along-track sea level measurements from the Jason-1, Jason -2 and Jason-3 satellite missions have been processed to produce high resolution (20 Hz, corresponding to an along-track distance of ~300m) sea level anomalies, in order to provide long-term homogeneous sea level time series as close to the coast as possible in six different coastal regions (North-East Atlantic, Mediterranean Sea, Western Africa, North Indian Ocean, South-East Asia and Australia). These six time series cover the period from 15 January 2002 to 30 May 2018.
The product benefits 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.
The main objective of this product is to provide accurate altimeter Sea Level Anomalies (SLA) time series as close to the coast as possible in order to assess whether the coastal sea level trends experienced at the coast are similar to the observed sea level trends in the open ocean and to determine the causes of the potential discrepancies.
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+). During the project, the product will be extended in spatial coverage and with additional altimeter missions. This version of the dataset is v1.1. (DOI: 10.5270/esa-sl_cci-xtrack_ales_sla-200206_201805-v1.1-202005)
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No related previous identifiers.
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.
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.
The SL_cci+ XTRACK/ALES product (V1.1) has been produced based on the L2 altimeter algorithms recommended by the SL_cci
|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.|