FN Archimer Export Format
PT J
TI The Sea State CCI dataset v1 : towards a Sea State Climate Data Record based on satellite observations
BT 
AF DODET, Guillaume
   PIOLLE, Jean-Francois
   QUILFEN, Yves
   Abdallah, Saleh
   ACCENSI, Mickael
   ARDHUIN, Fabrice
   Ash, Ellis
   Bidlot, Jean-Raymond
   Gommenginger, Christine
   MARECHAL, Gwendal
   Passaro, Marcello
   Quartly, Graham
   STOPA, Justin
   Timmermans, Ben
   Young, Ian
   Cipollini, Paolo
   Donlon, Craig
AS 1:1;2:1;3:1;4:2;5:1;6:11;7:3;8:2;9:4;10:11;11:5;12:6;13:7;14:4;15:8;16:9;17:10;
FF 1:PDG-ODE-LOPS-SIAM;2:PDG-ODE-LOPS-SIAM;3:PDG-ODE-LOPS-SIAM;4:;5:PDG-ODE-LOPS-SIAM;6:;7:;8:;9:;10:;11:;12:;13:;14:;15:;16:;17:;
C1 Laboratoire d’Océanographie Physique et Spatiale (LOPS), CNRS, IRD, Ifremer, IUEM,Univ. Brest, France
   European Centre for Medium-range Weather Forecasts, Reading, United Kingdom
   Satellite Oceanographic Consultants (SatOC), Coach House Farm, New Mills, Derbyshire, UK
   National Oceanography Centre (NOC), European Way, Southampton SO14 3ZH, United Kingdom
   Deutsches Geodätisches Forschungsinstitut der Technischen Universität München (DGFI-TUM), Arcisstrasse 21, 80333, München, Germany
   Plymouth Marine Laboratory (PML), Prospect Place, The Hoe, Plymouth, Devon, PL1 3DH, UK
   Department of Ocean Resources and Engineering, School of Ocean and Earth Science and Technology, University of Hawaii at Manoa, Honolulu, HI, USA
   Department of Infrastructure Engineering, University of Melbourne, Melbourne, Australia
   Telespazio VEGA, UK
   ESA Climate Office, ECSAT, Fermi Avenue, Harwell Campus Didcot, OX11 0FD, United Kingdom
   Laboratoire d’Océanographie Physique et Spatiale (LOPS), CNRS, IRD, Ifremer, IUEM,Univ. Brest, France
C2 IFREMER, FRANCE
   ECMWF, UK
   SATOC, UK
   NOC, UK
   UNIV MUNCHEN, GERMANY
   PML, UK
   UNIV HAWAII MANOA, USA
   UNIV MELBOURNE, AUSTRALIA
   TELESPAZIO VEGA, UK
   ESA, UK
   CNRS, FRANCE
SI BREST
SE PDG-ODE-LOPS-SIAM
UM LOPS
IN WOS Ifremer UMR
   WOS Cotutelle UMR
   DOAJ
   copubli-france
   copubli-europe
   copubli-int-hors-europe
TC 60
UR https://archimer.ifremer.fr/doc/00634/74633/74527.pdf
   https://archimer.ifremer.fr/doc/00634/74633/77549.pdf
LA English
DT Article
AB 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). 
PY 2020
PD SEP
SO Earth System Science Data
SN 1866-3516
PU Copernicus GmbH
VL 12
IS 3
UT 000569152200001
BP 1929
EP 1951
DI 10.5194/essd-12-1929-2020
ID 74633
ER

EF