A new phase in the production of quality-controlled sea level data
Sea level is an essential climate variable (ECV) that has a direct effect on many people through inundations of coastal areas, and it is also a clear indicator of climate changes due to external forcing factors and internal climate variability. Regional patterns of sea level change inform us on o...
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doaj-f8ae817ba8ec4f41a43a1c8ad40df22e2020-11-24T23:19:40ZengCopernicus PublicationsEarth System Science Data1866-35081866-35162017-08-01955757210.5194/essd-9-557-2017A new phase in the production of quality-controlled sea level dataG. D. Quartly0J.-F. Legeais1M. Ablain2L. Zawadzki3M. J. Fernandes4M. J. Fernandes5S. Rudenko6S. Rudenko7L. Carrère8P. N. García9P. Cipollini10O. B. Andersen11J.-C. Poisson12S. Mbajon Njiche13A. Cazenave14A. Cazenave15J. Benveniste16Plymouth Marine Laboratory, Plymouth, PL1 3DH, UKCLS, 31520 Ramonville-Saint-Agne, FranceCLS, 31520 Ramonville-Saint-Agne, FranceCLS, 31520 Ramonville-Saint-Agne, FranceFaculdade de Ciências, Universidade do Porto, 4169-007, Porto, PortugalCentro Interdisciplinar de Investigação Marinha e Ambiental (CIIMAR), 4450-208 Matosinhos, PortugalDeutsches Geodätisches Forschungsinstitut, Technische Universität München, 80333 Munich, GermanyHelmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Telegrafenberg 14473 Potsdam, GermanyCLS, 31520 Ramonville-Saint-Agne, FranceisardSAT, 08042 Barcelona, SpainNational Oceanography Centre, Southampton, SO14 3ZH, UKDTU Space, 2800 Kongens Lyngby, DenmarkCLS, 31520 Ramonville-Saint-Agne, FranceCGI, Leatherhead, KT22 7LP, UKLEGOS, 31400 Toulouse, FranceISSI, 3912 Bern, SwitzerlandESA/ESRIN, 00044 Frascati, ItalySea level is an essential climate variable (ECV) that has a direct effect on many people through inundations of coastal areas, and it is also a clear indicator of climate changes due to external forcing factors and internal climate variability. Regional patterns of sea level change inform us on ocean circulation variations in response to natural climate modes such as El Niño and the Pacific Decadal Oscillation, and anthropogenic forcing. Comparing numerical climate models to a consistent set of observations enables us to assess the performance of these models and help us to understand and predict these phenomena, and thereby alleviate some of the environmental conditions associated with them. All such studies rely on the existence of long-term consistent high-accuracy datasets of sea level. The Climate Change Initiative (CCI) of the European Space Agency was established in 2010 to provide improved time series of some ECVs, including sea level, with the purpose of providing such data openly to all to enable the widest possible utilisation of such data. Now in its second phase, the Sea Level CCI project (SL_cci) merges data from nine different altimeter missions in a clear, consistent and well-documented manner, selecting the most appropriate satellite orbits and geophysical corrections in order to further reduce the error budget. This paper summarises the corrections required, the provenance of corrections and the evaluation of options that have been adopted for the recently released v2.0 dataset (<a href="https://doi.org/10.5270/esa-sea_level_cci-1993_2015-v_2.0-201612" target="_blank">https://doi.org/10.5270/esa-sea_level_cci-1993_2015-v_2.0-201612</a>). This information enables scientists and other users to clearly understand which corrections have been applied and their effects on the sea level dataset. The overall result of these changes is that the rate of rise of global mean sea level (GMSL) still equates to ∼ 3.2 mm yr<sup>−1</sup> during 1992–2015, but there is now greater confidence in this result as the errors associated with several of the corrections have been reduced. Compared with v1.1 of the SL_cci dataset, the new rate of change is 0.2 mm yr<sup>−1</sup> less during 1993 to 2001 and 0.2 mm yr<sup>−1</sup> higher during 2002 to 2014. Application of new correction models brought a reduction of altimeter crossover variances for most corrections.https://www.earth-syst-sci-data.net/9/557/2017/essd-9-557-2017.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
G. D. Quartly J.-F. Legeais M. Ablain L. Zawadzki M. J. Fernandes M. J. Fernandes S. Rudenko S. Rudenko L. Carrère P. N. García P. Cipollini O. B. Andersen J.-C. Poisson S. Mbajon Njiche A. Cazenave A. Cazenave J. Benveniste |
spellingShingle |
G. D. Quartly J.-F. Legeais M. Ablain L. Zawadzki M. J. Fernandes M. J. Fernandes S. Rudenko S. Rudenko L. Carrère P. N. García P. Cipollini O. B. Andersen J.-C. Poisson S. Mbajon Njiche A. Cazenave A. Cazenave J. Benveniste A new phase in the production of quality-controlled sea level data Earth System Science Data |
author_facet |
G. D. Quartly J.-F. Legeais M. Ablain L. Zawadzki M. J. Fernandes M. J. Fernandes S. Rudenko S. Rudenko L. Carrère P. N. García P. Cipollini O. B. Andersen J.-C. Poisson S. Mbajon Njiche A. Cazenave A. Cazenave J. Benveniste |
author_sort |
G. D. Quartly |
title |
A new phase in the production of quality-controlled sea level data |
title_short |
A new phase in the production of quality-controlled sea level data |
title_full |
A new phase in the production of quality-controlled sea level data |
title_fullStr |
A new phase in the production of quality-controlled sea level data |
title_full_unstemmed |
A new phase in the production of quality-controlled sea level data |
title_sort |
new phase in the production of quality-controlled sea level data |
publisher |
Copernicus Publications |
series |
Earth System Science Data |
issn |
1866-3508 1866-3516 |
publishDate |
2017-08-01 |
description |
Sea level is an essential climate variable (ECV) that has a direct effect on many
people through inundations of coastal areas, and it is also a clear indicator
of climate changes due to external forcing factors and internal climate
variability. Regional patterns of sea level change inform us on ocean
circulation variations in response to natural climate modes such as El
Niño and the Pacific Decadal Oscillation, and anthropogenic forcing.
Comparing numerical climate models to a consistent set of observations
enables us to assess the performance of these models and help us to
understand and predict these phenomena, and thereby alleviate some of the
environmental conditions associated with them. All such studies rely on the
existence of long-term consistent high-accuracy datasets of sea level. The
Climate Change Initiative (CCI) of the European Space Agency was established
in 2010 to provide improved time series of some ECVs, including sea level,
with the purpose of providing such data openly to all to enable the widest
possible utilisation of such data. Now in its second phase, the Sea Level CCI
project (SL_cci) merges data from nine different altimeter missions in a
clear, consistent and well-documented manner, selecting the most appropriate
satellite orbits and geophysical corrections in order to further reduce the
error budget. This paper summarises the corrections required, the provenance
of corrections and the evaluation of options that have been adopted for the
recently released v2.0 dataset
(<a href="https://doi.org/10.5270/esa-sea_level_cci-1993_2015-v_2.0-201612" target="_blank">https://doi.org/10.5270/esa-sea_level_cci-1993_2015-v_2.0-201612</a>). This information
enables scientists and other users to clearly understand which corrections
have been applied and their effects on the sea level dataset. The overall
result of these changes is that the rate of rise of global mean sea level
(GMSL) still equates to ∼ 3.2 mm yr<sup>−1</sup> during 1992–2015, but
there is now greater confidence in this result as the errors associated with
several of the corrections have been reduced. Compared with v1.1 of the
SL_cci dataset, the new rate of change is 0.2 mm yr<sup>−1</sup> less during
1993 to 2001 and 0.2 mm yr<sup>−1</sup> higher during 2002 to 2014. Application
of new correction models brought a reduction of altimeter crossover variances
for most corrections. |
url |
https://www.earth-syst-sci-data.net/9/557/2017/essd-9-557-2017.pdf |
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