The Sea State CCI dataset v1 : towards a Sea State Climate Data Record based on satellite observations
| Type | Article | ||||||||||||
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| Date | 2020-09 | ||||||||||||
| Language | English | ||||||||||||
| Author(s) | Dodet Guillaume 1, Piolle Jean-Francois1, Quilfen Yves1, Abdallah Saleh2, Accensi Mickael1, Ardhuin Fabrice11, Ash Ellis3, Bidlot Jean-Raymond2, Gommenginger Christine4, Marechal Gwendal11, Passaro Marcello5, Quartly Graham6, Stopa Justin7, Timmermans Ben4, Young Ian8, Cipollini Paolo9, Donlon Craig10 |
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| Affiliation(s) | 1 : Laboratoire d’Océanographie Physique et Spatiale (LOPS), CNRS, IRD, Ifremer, IUEM,Univ. Brest, France 2 : European Centre for Medium-range Weather Forecasts, Reading, United Kingdom 3 : Satellite Oceanographic Consultants (SatOC), Coach House Farm, New Mills, Derbyshire, UK 4 : National Oceanography Centre (NOC), European Way, Southampton SO14 3ZH, United Kingdom 5 : Deutsches Geodätisches Forschungsinstitut der Technischen Universität München (DGFI-TUM), Arcisstrasse 21, 80333, München, Germany 6 : Plymouth Marine Laboratory (PML), Prospect Place, The Hoe, Plymouth, Devon, PL1 3DH, UK 7 : Department of Ocean Resources and Engineering, School of Ocean and Earth Science and Technology, University of Hawaii at Manoa, Honolulu, HI, USA 8 : Department of Infrastructure Engineering, University of Melbourne, Melbourne, Australia 9 : Telespazio VEGA, UK 10 : ESA Climate Office, ECSAT, Fermi Avenue, Harwell Campus Didcot, OX11 0FD, United Kingdom 11 : Laboratoire d’Océanographie Physique et Spatiale (LOPS), CNRS, IRD, Ifremer, IUEM,Univ. Brest, France |
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| Source | Earth System Science Data (1866-3516) (Copernicus GmbH), 2020-09 , Vol. 12 , N. 3 , P. 1929-1951 | ||||||||||||
| DOI | 10.5194/essd-12-1929-2020 | ||||||||||||
| WOS© Times Cited | 60 | ||||||||||||
| Abstract | Sea state data are of major importance for climate studies, marine engineering, safety at sea, and coastal management. However, long-term sea state datasets are sparse and not always consistent, and sea state data users still mostly rely on numerical wave models for research and engineering applications. Facing the urgent need for a sea state Climate Data Record, the Global Climate Observing System has listed Sea State as an Essential Climate Variable (ECV), fostering the launch in 2018 of the Sea State Climate Change Initiative (CCI). The CCI is a program of the European Space Agency, whose objective is to realize the full potential of global Earth Observation archives established by ESA and its member states in order to contribute to the ECV database. This paper presents the implementation of the first release of the Sea State CCI dataset, the implementation and benefits of a high-level denoising method, its validation against in-situ measurements and numerical model outputs, and the future developments considered within the Sea State CCI project. The Sea State CCI dataset v1 is freely available on the ESA CCI website (http://cci.esa.int/data) at ftp://anon-ftp.ceda.ac.uk/neodc/esacci/sea_state/data/v1.1_release/. Three products are available: a multi-mission along-track L2P product (https://doi.org/10.5285/f91cd3ee7b6243d5b7d41b9beaf397e1, Piollé et al., 2020a), a daily merged multi mission along-track L3 product (https://doi.org/10.5285/3ef6a5a66e9947d39b356251909dc12b, Piollé et al., 2020b) and a multi-mission monthly gridded L4 product (https://doi.org/10.5285/47140d618dcc40309e1edbca7e773478, Piollé et al., 2020c). |
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