Arctic sea surface height maps from multi-altimeter combination

<p>We present a new Arctic sea level anomaly dataset based on the combination of three altimeter missions using an optimal interpolation scheme. Measurements from SARAL/AltiKa, CryoSat-2 and Sentinel-3A are blended together, providing an unprecedented resolution for this type of product. Such...

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Autores principales:	P. Prandi, J.-C. Poisson, Y. Faugère, A. Guillot, G. Dibarboure
Formato:	article
Lenguaje:	EN
Publicado:	Copernicus Publications 2021
Materias:	Environmental sciences GE1-350 Geology QE1-996.5
Acceso en línea:	https://doaj.org/article/702bd31bdcdc400a88e8665432954f68
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spelling	oai:doaj.org-article:702bd31bdcdc400a88e8665432954f682021-11-30T08:45:15ZArctic sea surface height maps from multi-altimeter combination10.5194/essd-13-5469-20211866-35081866-3516https://doaj.org/article/702bd31bdcdc400a88e8665432954f682021-11-01T00:00:00Zhttps://essd.copernicus.org/articles/13/5469/2021/essd-13-5469-2021.pdfhttps://doaj.org/toc/1866-3508https://doaj.org/toc/1866-3516<p>We present a new Arctic sea level anomaly dataset based on the combination of three altimeter missions using an optimal interpolation scheme. Measurements from SARAL/AltiKa, CryoSat-2 and Sentinel-3A are blended together, providing an unprecedented resolution for this type of product. Such high-resolution products are necessary to tackle some contemporaneous science questions in the basin. We use the adaptive retracker to process both open ocean and lead echoes on SARAL/AltiKa, thus removing the need to estimate a bias between open ocean and ice-covered areas. The usual processing approach, involving an empirical retracking algorithm on specular echoes, is applied on CryoSat-2 and Sentinel-3A synthetic aperture radar (SAR) mode echoes. SARAL/AltiKa also provides the baseline for the cross-calibration of CryoSat-2 and Sentinel-3A data. The final gridded fields cover all latitudes north of 50<span class="inline-formula"><sup>∘</sup></span> N, on a 25 <span class="inline-formula">km</span> EASE2 grid, with one grid every 3 d over 3 years from July 2016 to April 2019. When compared to tide gauge measurements available in the Arctic Ocean, the combined product exhibits a much better performance than mono-mission datasets with a mean correlation of 0.78 and a mean root-mean-square deviation (RMSd) of 5 <span class="inline-formula">cm</span>. The effective temporal resolution of the combined product is 3 times better than a single mission analysis. This dataset can be downloaded from <a href="https://doi.org/10.24400/527896/a01-2020.001">https://doi.org/10.24400/527896/a01-2020.001</a> <span class="cit" id="xref_paren.1">(<a href="#bib1.bibx38">Prandi</a>, <a href="#bib1.bibx38">2020</a>)</span>.</p>P. PrandiJ.-C. PoissonJ.-C. PoissonY. FaugèreA. GuillotG. DibarboureCopernicus PublicationsarticleEnvironmental sciencesGE1-350GeologyQE1-996.5ENEarth System Science Data, Vol 13, Pp 5469-5482 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Environmental sciences GE1-350 Geology QE1-996.5
spellingShingle	Environmental sciences GE1-350 Geology QE1-996.5 P. Prandi J.-C. Poisson J.-C. Poisson Y. Faugère A. Guillot G. Dibarboure Arctic sea surface height maps from multi-altimeter combination
description	<p>We present a new Arctic sea level anomaly dataset based on the combination of three altimeter missions using an optimal interpolation scheme. Measurements from SARAL/AltiKa, CryoSat-2 and Sentinel-3A are blended together, providing an unprecedented resolution for this type of product. Such high-resolution products are necessary to tackle some contemporaneous science questions in the basin. We use the adaptive retracker to process both open ocean and lead echoes on SARAL/AltiKa, thus removing the need to estimate a bias between open ocean and ice-covered areas. The usual processing approach, involving an empirical retracking algorithm on specular echoes, is applied on CryoSat-2 and Sentinel-3A synthetic aperture radar (SAR) mode echoes. SARAL/AltiKa also provides the baseline for the cross-calibration of CryoSat-2 and Sentinel-3A data. The final gridded fields cover all latitudes north of 50<span class="inline-formula"><sup>∘</sup></span> N, on a 25 <span class="inline-formula">km</span> EASE2 grid, with one grid every 3 d over 3 years from July 2016 to April 2019. When compared to tide gauge measurements available in the Arctic Ocean, the combined product exhibits a much better performance than mono-mission datasets with a mean correlation of 0.78 and a mean root-mean-square deviation (RMSd) of 5 <span class="inline-formula">cm</span>. The effective temporal resolution of the combined product is 3 times better than a single mission analysis. This dataset can be downloaded from <a href="https://doi.org/10.24400/527896/a01-2020.001">https://doi.org/10.24400/527896/a01-2020.001</a> <span class="cit" id="xref_paren.1">(<a href="#bib1.bibx38">Prandi</a>, <a href="#bib1.bibx38">2020</a>)</span>.</p>
format	article
author	P. Prandi J.-C. Poisson J.-C. Poisson Y. Faugère A. Guillot G. Dibarboure
author_facet	P. Prandi J.-C. Poisson J.-C. Poisson Y. Faugère A. Guillot G. Dibarboure
author_sort	P. Prandi
title	Arctic sea surface height maps from multi-altimeter combination
title_short	Arctic sea surface height maps from multi-altimeter combination
title_full	Arctic sea surface height maps from multi-altimeter combination
title_fullStr	Arctic sea surface height maps from multi-altimeter combination
title_full_unstemmed	Arctic sea surface height maps from multi-altimeter combination
title_sort	arctic sea surface height maps from multi-altimeter combination
publisher	Copernicus Publications
publishDate	2021
url	https://doaj.org/article/702bd31bdcdc400a88e8665432954f68
work_keys_str_mv	AT pprandi arcticseasurfaceheightmapsfrommultialtimetercombination AT jcpoisson arcticseasurfaceheightmapsfrommultialtimetercombination AT jcpoisson arcticseasurfaceheightmapsfrommultialtimetercombination AT yfaugere arcticseasurfaceheightmapsfrommultialtimetercombination AT aguillot arcticseasurfaceheightmapsfrommultialtimetercombination AT gdibarboure arcticseasurfaceheightmapsfrommultialtimetercombination
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Arctic sea surface height maps from multi-altimeter combination

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