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Publications

This is a collection of publications from the OceanPredict community. It is updated regularly (every 4-6 months). The publications cover new research and science activities in ocean predictions, ocean observations, areas covered by the OP task teams, and other efforts further afield. This collection will grow over time and will provide a resources and benefit for everyone in the ocean science community.

The table below shows all publications provided from 2018 to the present.

To find the publication you are interested in, please use the Filter option (at top of table) to search for any word, name or number you want to find.  Entering several words narrows the search.

Please note that the filter will search for all of the added words, regardless of their order. Publications are organised by year and author (alphabetically).

Latest update: 06 February 2024

[Accepted] [2018][2019] [2020] [2021] [2022] [2023] [2024]

Reference Group Publication (all published)
Accepted papers are marked (A)
2024                                                                                                                                                                                    Top
IV-TT, OPOS-WG Bonino, Giulia, Giuliano Galimberti, Simona Masina, Ronan McAdam, and Emanuela Clementi, 2024: Machine learning methods to predict Sea Surface Temperature and Marine Heatwave occurrence: a case study of the Mediterranean Sea
Ocean Science
https://egusphere.copernicus.org/preprints/2023/egusphere-2023-1847/
COSS-TT

 

Kawakami, Y., H. Nakano, L. S. Urakawa, T. Toyoda, K. Sakamoto, S. Nishikawa, T. Sugiyama, M. Kurogi, Y. Ishikawa, K. Sato, and G. Yamanaka, 2024: Future changes in marine heatwaves based on high-resolution ensemble projections for the northwestern Pacific Ocean. Journal of Oceanography
Journal of Oceanography
https://doi.org/10.1007/s10872-024-00714-y
COSS-TT Ølberg, Judith Thu, Patrik Bohlinger, Øyvind Breivik, Kai H Christensen, Birgitte R Furevik, Lars R Hole, Gaute Hope, Atle Jensen, Fabian Knoblauch, Ngoc-Thanh Nguyen, Jean Rabault,2024: Wave measurements using open source ship mounted ultrasonic altimeter and motion correction system during the one ocean circumnavigation
Ocean engineering
https://doi.org/10.1016/j.oceaneng.2023.116586
https://www.sciencedirect.com/science/article/pii/S0029801823029700
OPOS-WG Toyoda, T., K. Sakamoto, T. Toyota, H. Tsujino, L. S. Urakawa, Y. Kawakami, A. Yamagami, K. K. Komatsu, G. Yamanaka, T. Tanikawa, R. Shimada, and H. Nakano, 2024: Improvement of sea ice thermodynamics with variable sea ice salinity and melt pond parameterizations in an OGCM
Ocean Modelling
https://doi.org/10.1016/j.ocemod.2023.102288
https://www.sciencedirect.com/science/article/pii/S1463500323001282
COSS-TT Vassilios D. Vervatis, Pierre De Mey-Frémaux, John Karagiorgos, Bénédicte Lemieux-Dudon, Nadia Ayoub, Sarantis Sofianos, 2024: Regional ocean model uncertainties using stochastic parameterizations and a global atmospheric ensemble
Ocean Modelling
Reference Group Publication (all published)
Accepted papers are marked (A)
2023                                                                                                                                                                                     Top
MEAP-TT Álvarez, E., Cossarini, G., Teruzzi, A., Bruggeman, J., Bolding, K., Ciavatta, S., Vellucci, V., D’Ortenzio, F., Antoine, D., and Lazzari, P., 2023: Chromophoric dissolved organic matter dynamics revealed through the optimization of an optical–biogeochemical model in the northwestern Mediterranean Sea
Biogeosciences, 20 4591-4624
https://doi.org/10.5194/bg-20-4591-2023
https://bg.copernicus.org/articles/20/4591/2023/
DA-TT Aravind, H.M., V. Verma, S. Sarkar, M.A. Freilich, A. Mahadevan, P.J. Haley Jr., P.F.J. Lermusiaux, and M.R. Allshouse, 2023: Lagrangian Surface Signatures Reveal Upper-Ocean Vertical Displacement Conduits Near Oceanic Density Fronts
Ocean Modelling,181, 102136
https://doi:10.1016/j.ocemod.2022.102136
http://mseas.mit.edu/?p=5955
IV-TT, OPOS-WG, DA-TT Aydogdu A., Miraglio P., Escudier R., Clementi E., Masina S., 2023: The dynamical role of upper layer salinity in the Mediterranean Sea
State of the Planet,SP, 1-osr7, 6
https://doi.org/10.5194/sp-1-osr7-6-2023
https://sp.copernicus.org/articles/1-osr7/6/2023/
OSF Programme Bin Xiao, Fangli Qiao, Qi Shu, Xunqiang Yin, Guansuo Wang, and Shihong Wang,2023: Development and validation of a global 1/32◦ surface-wave–tide–circulation coupled ocean model: FIO-COM32
Geoscientific Model Development,16, 1755-1777
https://doi.org/10.5194/gmd-16-1755-2023
CP-TT, IV-TT Casati, B., Robinson, T., Lemay, F., Køltzow, M., Haiden, T., Mekis, E., Lespinas, F., Fortin, V., Gascon, G., Milbrandt, J. and Smith, G., 2023: Performance of the Canadian Arctic Prediction System during the YOPP Special Observing Periods
Atmosphere-Ocean,pp.1-27
https://doi.org/10.1080/07055900.2023.2191831
DA-TT Cheng, S., Chen, Y., Aydoğdu, A., Bertino, L., Carrassi, A., Rampal, P., and Jones, C. K. R. T., 2023: Arctic sea ice data assimilation combining an ensemble Kalman filter with a novel Lagrangian sea ice model for the winter 2019–2020
The Cryosphere,17, 1735–1754
https://doi.org/10.5194/tc-17-1735-2023
https://tc.copernicus.org/articles/17/1735/2023/
OP-DCC Ciliberti, S. A., Alvarez Fanjul, E., Pearlman, J., Wilmer-Becker, K., Bahurel, P., Ardhuin, F., Arnaud, A., Bell, M., Berthou, S., Bertino, L., Capet, A., Chassignet, E., Ciavatta, S., Cirano, M., Clementi, E., Cossarini, G., Coro, G., Corney, S., Davidson, F., Drevillon, M., Drillet, Y., Dussurget, R., El Serafy, G., Fennel, K., Garcia Sotillo, M., Heimbach, P., Hernandez, F., Hogan, P., Hoteit, I., Joseph, S., Josey, S., Le Traon, P.-Y., Libralato, S., Mancini, M., Matte, P., Melet, A., Miyazawa, Y., Moore, A. M., Novellino, A., Porter, A., Regan, H., Romero, L., Schiller, A., Siddorn, J., Staneva, J., Thomas-Courcoux, C., Tonani, M., Garcia-Valdecasas, J. M., Veitch, J., von Schuckmann, K., Wan, L., Wilkin, J., and Zufic, R., 2023: Evaluation of operational ocean forecasting systems from the perspective of the users and the experts
7th edition of the Copernicus Ocean State Report (OSR7), edited by: von Schuckmann, K., Moreira, L., Le Traon, P.-Y., Grégoire, M., Marcos, M., Staneva, J., Brasseur, P., Garric, G., Lionello, P., Karstensen, J., and Neukermans, G.
Copernicus Publications, State of the Planet,1-osr7, 2
https://doi.org/10.5194/sp-1-osr7-2-2023
https://sp.copernicus.org/articles/1-osr7/2/2023/
DA-TT Cipollone, A., Banerjee, D. S., Iovino, D., Aydogdu, A., and Masina, S., 2023: Bivariate sea-ice assimilation for global-ocean analysis–reanalysis
Ocean Sci.,19, 1375–1392
https://doi.org/10.5194/os-19-1375-2023
https://os.copernicus.org/articles/19/1375/2023/
IV-TT, OPOS-WG Coppini, G., Clementi, E., Cossarini, G., Salon, S., Korres, G., Ravdas, M., Lecci, R., Pistoia, J., Goglio, A. C., Drudi, M., Grandi, A., Aydogdu, A., Escudier, R., Cipollone, A., Lyubartsev, V., Mariani, A., Cretì, S., Palermo, F., Scuro, M., Masina, S., Pinardi, N., Navarra, A., Delrosso, D., Teruzzi, A., Di Biagio, V., Bolzon, G., Feudale, L., Coidessa, G., Amadio, C., Brosich, A., Miró, A., Alvarez, E., Lazzari, P., Solidoro, C., Oikonomou, C., and Zacharioudaki, A, 2023: The Mediterranean forecasting system. Part I: evolution and performance
Ocean Science,19, 1483–1516
https://doi.org/10.5194/os-19-1483-2023
https://os.copernicus.org/articles/19/1483/2023/
MEAP-TT Di Biagio, V., Martellucci, R., Menna, M., Teruzzi, A., Amadio, C., Mauri, E., and Cossarini, G., 2023: Dissolved oxygen as an indicator of multiple drivers of the marine ecosystem: the southern Adriatic Sea case study
State of the Planet, 1-osr7, 10
https://doi.org/10.5194/sp-1-osr7-10-2023
https://sp.copernicus.org/articles/1-osr7/10/2023/
COSS-TT Doshi, M.M., M.S. Bhabra, and P.F.J. Lermusiaux, 2023: Energy-Time Optimal Path Planning in Dynamic Flows: Theory and Schemes
Computer Methods in Applied Mechanics and Engineering,405, 115865
https://doi:10.1016/j.cma.2022.115865
http://mseas.mit.edu/?p=6020
MEAP-TT Fennel, K., Long, M. C., Algar, C., Carter, B., Keller, D., Laurent, A., Mattern, J. P., Musgrave, R., Oschlies, A., Ostiguy, J., Palter, J. B., and Whitt, D. B., 2023: Modelling considerations for research on ocean alkalinity enhancement (OAE), in: Guide to Best Practices in Ocean Alkalinity Enhancement Research, edited by: Oschlies, A., Stevenson, A., Bach, L. T., Fennel, K., Rickaby, R. E. M., Satterfield, T., Webb, R., and Gattuso, J.-P.
Copernicus Publications, State of the Planet,2-oae2023, 9
https://doi.org/10.5194/sp-2-oae2023-9-2023
https://sp.copernicus.org/articles/2-oae2023/9/2023/
MEAP-TT, DA-TT, COSS-TT, OSEval-TT Ford, D. A., Grossberg, S., Rinaldi, G., Menon, P. M., Palmer, M. R., Skákala, J., Smyth, T., Williams, C. A. J., Lorenzo Lopez, A., and Ciavatta, S., 2022: A solution for autonomous, adaptive monitoring of coastal ocean ecosystems: Integrating ocean robots and operational forecasts
Frontiers in Marine Science,9
https://doi.org/10.3389/fmars.2022.1067174
https://www.frontiersin.org/articles/10.3389/fmars.2022.1067174/full
MEAP-TT, DA-TT, OPOS-WG Fowler, A. M., Skákala, J., Ford, D., 2023: Validating and improving the uncertainty assumptions for the assimilation of ocean-colour-derived chlorophyll a into a marine biogeochemistry model of the Northwest European Shelf Seas
Quarterly Journal of the Royal Meteorological Society, 149(750), 300–324
https://doi.org/10.1002/qj.4408
https://rmets.onlinelibrary.wiley.com/doi/10.1002/qj.4408
OPOS-WG, DA-TT Fujii, Y. T. Yoshida, H. Sugimoto, I. Ishikawa, and S. Urakawa, 2023: Evaluation of a global ocean reanalysis generated by a global ocean data assimilation system based on a four-dimensional variational (4DVAR) method
Frontiers in  Climate, 4
https://doi.org/10.3389/fclim.2022.1019673
https://www.frontiersin.org/articles/10.3389/fclim.2022.1019673/full
SynObs Fujii, Y., 2023: Introduction of Synergistic Observing Network for Ocean Predictions (SynObs) (in Japanese with English abstract)
Ocean Newsletter, Ocean Policy Research Institute, Sasagawa Peach Foundation (ISSN 2187-8862),547
https://www.spf.org/opri/en/newsletter/547_1.html
SynObs Fujii, Y., M. Balmaseda, and Remy, E. , 2023: SynObs Flagship OSEs Guideline Version 1
OceanPredict
https://oceanpredict.org/docs/Documents/SynObs/SynObs_FlagshipOSE_Guideline_Ver1.pdf
OPOS-WG Good, S., Mills, B., Boyer, T., Bringas, F., Castelão, G., Cowley, R., Goni, G., Gouretski, V. and Domingues, C.M., 2023: Benchmarking of automatic quality control checks for ocean temperature profiles and recommendations for optimal sets
Frontiers in Marine Science,9
https://doi.org/10.3389/fmars.2022.1075510
https://www.frontiersin.org/articles/10.3389/fmars.2022.1075510/full
MEAP-TT, DA-TT, COSS-TT Gupta, A. and P.F.J. Lermusiaux, 2023: Bayesian Learning of Coupled Biogeochemical-Physical Models
Progress in Oceanography,216, 103050
https://doi:10.1016/j.pocean.2023.103050
http://mseas.mit.edu/?p=6134
SynObs Hackert, Eric, S. Akella, L. Ren, K. Nakada, J.A. Carton, A. Molod, 2023: Impact of the TAO/TRITON Array on Reanalyses and Predictions of the 2015 El Niño
JGR Oceans, Vol 128, issue 11
https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2023JC020039
MEAP-TT Higgs, I., Skákala, J., Bannister, R., Carrassi, A., and Ciavatta, S., 2023: Ecosystem connections in the shelf sea environment using complex networks
EGUsphere
https://doi.org/10.5194/egusphere-2023-475
https://egusphere.copernicus.org/preprints/2023/egusphere-2023-475/
COSS-TT Izhitskaya, E.S.; Egorov, A.V.; Zavialov, P.O., 2023: Seasonal variability of dissolved methane in the shallow coastal zone: The case study of the Golubaya Bay, northeastern part of the Black Sea
Journal of Marine Science and Engineering,140560
https://doi.org/10.3390/jmse11122284
https://www.mdpi.com/2077-1312/11/12/2284
OPOS-WG Karaki, T., K. Sakamoto, G. Yamanaka, S. Kimura, and A. Kasai, 2023: Inshore migration of Japanese eel Anguilla japonica encouraged by active horizontal swimming during the glass eel stage
Fisheries Oceanography
https://doi.org/10.1111/fog.12637
https://onlinelibrary.wiley.com/doi/abs/10.1111/fog.12637
COSS-TT Kurapov, A. L., 2023: El Niño-related stratification anomalies over the continental slope off Oregon in summer 2014 and 2015: The potential vorticity advection mechanism
Journal of Geophysical Research: Oceans,128, e2022JC019588
https://doi.org/10.1029/2022JC019588
COSS-TT Nguyen, Dung M; Hole, Lars R; Breivik, Øyvind; Nguyen, Thuy B; Pham, Ngoc Kh, 2023: Marine Plastic Drift from the Mekong River to Southeast Asia
Journal of Marine Science and Engineering
https://doi.org/10.3390/jmse11050925
https://www.mdpi.com/2077-1312/11/5/925
COSS-TT Nguyen-Duy Tung, N.K. Ayoub, P. De-Mey-Frémaux, Thanh Ngo-Duc,2023: How sensitive is a simulated river plume to uncertainties in wind forcing? A case study for the Red River plume (Vietnam)
Ocean Modelling,186, 102256
https://doi.org/10.1016/j.ocemod.2023.102256
COSS-TT Pavlov, Victor; James, Neil A; Masden, Elizabeth A; de Aguiar, Victor Cesar Martins; Hole, Lars Robert; Liimatainen, Henrikki; Pongrácz, Eva, 2023: Impacts of offshore oil spill accidents on island bird communities: A test run study around Orkney and Svalbard archipelagos
Environmental Pollution
https://doi.org/10.1016/j.envpol.2023.122193
https://www.sciencedirect.com/science/article/pii/S0269749123011958
COSS-TT Rabault, Jean; Müller, Malte; Voermans, Joey; Brazhnikov, Dmitry; Turnbull, Ian; Marchenko, Aleksey; Biuw, Martin; Nose, Takehiko; Waseda, Takuji; Johansson, Malin, 2023: A dataset of direct observations of sea ice drift and waves in ice
Scientific Data
https://doi.org/10.1038/s41597-023-02160-9
https://www.nature.com/articles/s41597-023-02160-9
MEAP-TT Richaud, B., Fennel, K., Oliver, E. C. J., DeGrandpre, M. D., Bourgeois, T., Hu, X., and Lu, Y., 2023: Underestimation of oceanic carbon uptake in the Arctic Ocean: ice melt as predictor of the sea ice carbon pump
The Cryosphere,17, 2665–2680
https://doi.org/10.5194/tc-17-2665-2023
https://tc.copernicus.org/articles/17/2665/2023/
COSS-TT Röhrs, Johannes; Halsne, Trygve; Sutherland, Graig; Dagestad, Knut-Frode; Hole, Lars Robert; Broström, Göran; Christensen, Kai H, 2023:  Current shear and turbulence during a near-inertial wave
Frontiers in Marine Science
https://www.frontiersin.org/articles/10.3389/fmars.2023.1115986/full
https://doi.org/10.3389/fmars.2023.1115986
MEAP-TT Sathyendranath, S., Brewin, R.J., Ciavatta, S., Jackson, T., Kulk, G., Jönsson, B., Vicente, V.M. and Platt, T., 2023: Ocean biology studied from space
Surveys in Geophysics,44(5); 1287-308
https://doi.org/10.1007/s10712-023-09805-9
https://link.springer.com/article/10.1007/s10712-023-09805-9
OPOS-WG Smith, G.C., P. Pernica, Y. Lu, N. Soontiens, R. Horwitz, F. Dupont, M. Dunphy, Y. LeClainche, I. Gaboury, F. Davidson, C. Bourgault-Brunelle, A. Leroux, A. Holdsworth, D. Lavoie, R. Hourston, D. Schillinger, G. Sutherland, J.-P. Paquin, 2023: CONCEPTS Science Workshop Report
CMOS Bulleting
https://bulletin.cmos.ca
MEAP-TT Stoer, A.C., Yuichiro Takeshita, Y., Maurer, T.L., Begouen Demeaux, C., Bittig, H.C., Boss, E., Claustre, H., Dall’Olmo, G., Gordon, C., Greenan, B.J.W., S Johnson, K.S., Organelli, E., Sauzède, R., Schmechtig, C.M., Fennel, K., 2023: A Census of Quality-Controlled Biogeochemical-Argo Float Measurements
Frontiers in Marine Science, 10, 1233289
https://doi:10.3389/fmars.2023.1233289
https://www.frontiersin.org/articles/10.3389/fmars.2023.1233289/full
CP-TT Toyoda, T., L. S. Urakawa, H. Aiki, H. Nakano, E. Shindo, H. Yoshimura, Y. Kawakami, K. Sakamoto, A. Yamagami, Y. Ushijima, Y. Harada, C. Kobayashi, H. Tomita, T. Tozuka, and G. Yamanaka, 2023: Effective generation mechanisms of tropical instability waves as represented by high-resolution coupled atmosphere–ocean prediction experiments
Scientific Reports
https://doi.org/10.1038/s41598-023-41159-5
https://www.nature.com/articles/s41598-023-41159-5
OPOS-WG Valiente, N. G., Saulter, A., Gomez, B., Bunney, C., Li, J.-G., Palmer, T., and Pequignet, C., 2023: The Met Office operational wave forecasting system: the evolution of the regional and global models
Geoscientific Model Development,16, 2515–2538
https://doi.org/10.5194/gmd-16-2515-2023
https://gmd.copernicus.org/articles/16/2515/2023/
MEAP-TT Wang, B., Fennel, K., 2023: An assessment of vertical carbon flux parameterizations using backscatter data from BGC Argo
Geophysical Research Letters, e2022GL101220
http://dx.doi.org/10.1029/2022GL101220
https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2022GL101220
DA-TT Zedler, S. E., Polton, J. A., King, R. R., Wakelin, S. L., 2023: The effect of uncertain river forcing on the thermohaline properties of the North West European Shelf Seas
Ocean Modelling,183, 102196
https://doi.org/10.1016/j.ocemod.2023.102196
https://www.sciencedirect.com/science/article/pii/S1463500323000379?via%3Dihub
Reference Group Publication (all published)
Accepted papers are marked (A)
2022                                                                                                                                                                                     Top
COSS-TT Aghito, Manuel; Calgaro, Loris; Dagestad, Knut-Frode; Ferrarin, Christian; Marcomini, Antonio; Breivik, Øyvind; Hole, Lars Robert, 2022: ChemicalDrift 1.0: an open-source Lagrangian chemical fate and transport model for organic aquatic pollutants
Geoscientific Model Development Discussions
https://doi.org/10.5194/gmd-16-2477-2023
https://gmd.copernicus.org/articles/16/2477/2023/
COSS-TT Aksenov, Y., Rynders, S., Feltham, D. L., Hosekova, L., Marsh, R., Skliris, N., … & Heorton, H., 2022: Safer Operations in Changing Ice-Covered Seas: Approaches and Perspectives
In: Tuhkuri, J., Polojärvi, A. (eds) IUTAM Symposium on Physics and Mechanics of Sea Ice. IUTAM Bookseries, vol 39. Springer, Cham.,39
https://doi.org/10.1007/978-3-030-80439-8_12
CP-TT Bateson, A. W., Feltham, D. L., Schröder, D., Wang, Y., Hwang, B., Ridley, J. K., and Aksenov, Y., 2022: Sea ice floe size: its impact on pan-Arctic and local ice mass and required model complexity
The Cryosphere,16, 2565–2593
https://doi.org/10.5194/tc-16-2565-2022
IV-TT Bilge TA, Fournier N, Mignac D, Hume-Wright L, Bertino L, Williams T, Tietsche S, 2022: An Evaluation of the Performance of Sea Ice Thickness Forecasts to Support Arctic Marine Transport.
Journal of Marine Science and Engineering., 10(2):265
https://doi.org/10.3390/jmse10020265
COSS-TT Byrne, David; Polton, Jeff; Ribeiro, Joseph; Fernand, Liam; Holt, Jason, 2022: Designing a large scale autonomous observing network: A set theory approach Frontiers in Marine Science
https://doi.org/10.1175/JTECH-D-21-0182.1
http://nora.nerc.ac.uk/id/eprint/533161/
COSS-TT Castillo, Juan Manuel; Lewis, Huw W.; Mishra, Akhilesh; Mitra, Ashis; Polton, Jeff ; Brereton, Ashley; Saulter, Andrew; Arnold, Alex; Berthou, Segolene; Clark, Douglas; Crook, Julia; Das, Ananda; Edwards, John; Feng, Xiangbo; Gupta, Ankur; Joseph, Sudheer; Klingaman, Nicholas; Momin, Imranali; Pequignet, Christine; Sanchez, Claudio; Saxby, Jennifer; Valdivieso da Costa, Maria., 2022: The Regional Coupled Suite (RCS-IND1): application of a flexible regional coupled modelling framework to the Indian region at kilometre scale
Geoscientific Model Development
http://dx.doi.org/10.5194/gmd-15-4193-2022
http://nora.nerc.ac.uk/id/eprint/533280/
DA-TT Cazenave, Anny; Gouzenes, Yvan; Birol, Florence; Leger, Fabien; Passaro, Marcello; Calafat, Francisco M.; Shaw, Andrew; Nino, Fernando; Legeais, Jean François; Oelsmann, Julius; Restano, Marco; Benveniste, Jérôme., 2022: Sea level along the world’s coastlines can be measured by a network of virtual altimetry stations
Communications Earth & Environment
http://dx.doi.org/10.1038/s43247-022-00448-z
http://nora.nerc.ac.uk/id/eprint/532742/
COSS-TT Ciliberti, S.A.; Jansen, E.; Coppini, G.; Peneva, E.; Azevedo, D.; Causio, S.; Stefanizzi, L.; Creti’, S.; Lecci, R.; Lima, L.; Pinardi, N. and A.Palasov, 2022: The Black Sea Physics Analysis and Forecasting System within the Framework of the Copernicus Marine Service
J. Mar. Sci.Eng.2022,10,48
https://doi.org/10.3390/jmse10010048
DA-TT Costa, F. B., C. A. S. Tanajura, 2022: On the impact of vertical coordinate choice for innovation when assimilating hydrographic profiles into isopycnal ocean models
Ocean Modeling, 169
https://doi.org/10.1016/j.ocemod.2021.101917
SynObs Cucurull, L., D, Menemenlis, D. Du, K. Q. Zhang, S. Akella, E. Remy, K. Wilmer-Becker, S. Masuda, G. Yamanaka, Y. Takaya, and Y. Fujii, 2023: Joint workshop of the OS-Eval TT and CP-TT and SynObs Kick-Off. Workshop Summary.
Joint workshop of the OS-Eval TT and CP-TT and SynObs Kick-Off, 15-18 Nov 2022 at Tsukuba, Japan
https://oceanpredict.org/docs/Documents/Task%20Teams/OS-Eval-TT/Workshop-Nov2022/Summary/Summary_of_SynObs_Kickoff_workshop.pdf
COSS-TT de Aguiar, V., Dagestad, K. F., Hole, L. R., & Barthel, K., 2022: Quantitative assessment of two oil-in-ice surface drift algorithms
Marine Pollution Bulletin
http://dx.doi.org/10.1016/j.marpolbul.2022.113393
MEAP-TT Di Biagio, V., Salon, S., Feudale, L., and Cossarini, G., 2022: Subsurface oxygen maximum in oligotrophic marine ecosystems: mapping the interaction between physical and biogeochemical processes
Biogeosciences,19, 5553–5574
https://doi.org/10.5194/bg-19-5553-2022
https://bg.copernicus.org/articles/19/5553/2022/bg-19-5553-2022.html
MEAP-TT Dilmahamod, A.F., J. Karstensen, H. Dietze, U. Löptien, K. Fennel, 2022: Generation mechanisms of mesoscale eddies in the Mauritanian Upwelling Region
Journal of Physical Oceanography,52, 161-182
https://doi.org/10.1175/JPO-D-21-0092.1
https://journals.ametsoc.org/view/journals/phoc/52/1/JPO-D-21-0092.1.xml
ETOOFS and OceanPredict ETOOFS Expert Team on Operational Ocean Forecasting Systems, 2022: Implementing operational ocean monitoring and forecasting systems.
IOC-UNESCO publication: GOOS-275
https://doi.org/10.48670/ETOOFS
COSS-TT Fan, S., Zhang, B., Perrie, W., Mouche, A., Liu, G., Li, H., 2022: Observed Ocean Surface Winds and Mixed Layer Currents Under Tropical Cyclones: Asymmetric Characteristics
Journal of Geophysical Research: Oceans
https://doi.org/10.1029/2021JC017991
MEAP-TT Fennel, K., Mattern, J. P., Doney, S., Bopp, L., Moore, A., Wang, B., Yu, L., 2022: Ocean biogeochemical modelling
Nature Reviews Methods Primers
https://doi.org/10.1038/s43586-022-00154-2
DA-TT, OS-Eval TT, Met Office FOAM system Fiedler, E. K., Martin, M. J., Blockley, E., Mignac, D., Fournier, N., Ridout, A., Shepherd, A., and Tilling, R., 2022: Assimilation of sea ice thickness derived from CryoSat-2 along-track freeboard measurements into the Met Office’s Forecast Ocean Assimilation Model (FOAM)
The Cryosphere, 16, 61–85
https://doi.org/10.5194/tc-16-61-2022
MEAP-TT, DA-TT, COSS-TT, OSEval-TT Ford, D. A., Grossberg, S., Rinaldi, G., Menon, P. M., Palmer, M. R., Skákala, J., Smyth, T., Williams, C. A. J., Lorenzo Lopez, A., and Ciavatta, S., 2022: A solution for autonomous, adaptive monitoring of coastal ocean ecosystems: Integrating ocean robots and operational forecasts
Frontiers in Marine Science,9
https://doi.org/10.3389/fmars.2022.1067174
https://www.frontiersin.org/articles/10.3389/fmars.2022.1067174/full
MEAP-TT Frankel, L.T., M.A.M. Friedrichs, P. St-Laurent, A.J. Bever, R. N. Lipcius, G. Bhatt, G.W. Shenk, 2022: Nitrogen reductions have decreased hypoxia in the Chesapeake Bay: Evidence from empirical and numerical modeling
Science of the Total Environment, 814
https://doi.org/10.1016/j.scitotenv.2021.152722
COSS-TT Grayek, S., E. Stanev, N. Pham, A. Bonaduce and J. Staneva, 2022: Consistent data set of coastal sea level: The synergy between tidal gauge data and numerical modelling.
Journal of Operational Oceanography, issue 6, volume 15,
https://publications.hereon.de/id/51023
https://doi.org/10.1080/1755876X.2022.2095169
COSS-TT, DA-TT, JMA System Hirose, N., Usui, N., Sakamoto, K., Kohno, N. and Yamanaka, G., 2022: Superposition of coastal-trapped waves and Kuroshio warm water intrusions caused unusually high sea levels around the southern coasts of Japan in early September 1971
Journal of Oceanography
https://doi.org/10.1007/s10872-022-00655-4
COSS-TT Huang, X., Zhang, B., Perrie, W., Lu, Y., Wang, C., 2022: A Novel Deep Learning method for Marine Oil Spill Detection from Satellite Synthetic Aperture Radar Imagery
Marine Pollution Bulletin, Volume 179, 113666
https://doi.org/10.1016/j.marpolbul.2022.113666
IV-TT Iovino D, Selivanova J, Masina S and Cipollone A , 2022: The Antarctic Marginal Ice Zone and Pack Ice Area in CMEMS GREP Ensemble Reanalysis Product
Front. Earth Sci. , 517.968055555556
https://doi.org/10.3389/feart.2022.745274
CP-TT, JMA System Kawakami, Y., Nakano, H., Urakawa, L. S., Toyoda, T., Sakamoto, K., Yoshimura, H., Shindo, E., and Yamanaka, G., 2022: Interactions between ocean and successive typhoons in the Kuroshio region in 2018 in atmosphere-ocean coupled model simulations.
JGR Oceans
https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2021JC018203
COSS-TT Kurapov, A. L., D. L. Rudnick, B. T. Cervantes, C. M. Risien, 2022: Slope and shelf flow anomalies off Oregon influenced by the El Niño remote oceanic mechanism in 2014–2016.
Journal of Geophysical Research: Oceans, 127, e2022JC018604  
https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2022JC018604
OS-Eval TT Landy, J. C., Dawson, G. J., Tsamados, M., Bushuk, M., Stroeve, J. C., Howell, S. E., Krumpen, T., Babb, D.G., Komarov, A.S., Heorton, H.D.B.S., Belter, H. J. and Aksenov, Y., 2022: A year-round satellite sea-ice thickness record from CryoSat-2
Nature,609(7927), 517-522
https://doi.org/10.1038/s41586-022-05058-5
MEAP-TT Laurent, A., Zhang, H., and Fennel, K., 2022: Role of phosphorus in the seasonal deoxygenation of the East China Sea shelf
Biogeosciences,19, 5893–5910
https://doi.org/10.5194/bg-19-5893-2022
CP-TT, DA-TT Lea, D.J., While, J., Martin, M.J., Weaver, A., Storto, A. & Chrust, M, 2022: A new global ocean ensemble system at the Met Office: Assessing the impact of hybrid data assimilation and inflation settings
Quarterly Journal of the Royal Meteorological Society
https://doi.org/10.1002/qj.4292
CP-TT, DA-TT Leung, T.Y., Lawless, A.S., Nichols, N.K., Lea, D.J. & Martin, M.J, 2022: The impact of hybrid oceanic data assimilation in a coupled model: A case study of a tropical cyclone
Quarterly Journal of the Royal Meteorological Society
https://doi.org/10.1002/qj.4309
DA-TT Liu, C., Freeman, E., Kent, E. C., Berry, D. I., Worley, S. J., Smith, S. R., Huang, B., Zhang, H., Cram, T., Ji, Z., Ouellet, M., Gaboury, I., Oliva, F., Andersson, A., Angel, W. E., Sallis, A. R., & Adeyeye, A., 2022: Blending TAC and BUFR Marine in Situ Data for ICOADS Near-Real-Time Release 3.0.2
Journal of Atmospheric and Oceanic Technology
https://doi.org/10.1175/JTECH-D-21-0182.1
COSS-TT Mayorga-Adame C. G., Polton, J. A., Fox A. D., Henry L-A, 2022: Spatiotemporal scales of larval dispersal and connectivity among oil and gas structures in the North Sea
Marine Ecology Progress Series
https://doi.org/10.3354/meps13970
IV-TT McAdam, R., Masina, S., Balmaseda, M., Gualdi, S., Senan, R., & Mayer, M., 2022: Seasonal forecast skill of upper-ocean heat content in coupled high-resolution systems
Climate Dynamics
https://doi.org/10.1007/s00382-021-06101-3
DA-TT, OS-Eval TT, Met Office FOAM system Mignac, D., Martin, M., Fiedler, E., Blockley, E. & Fournier, N., 2022: Improving the Met Office’s Forecast Ocean Assimilation Model (FOAM) with the assimilation of satellite-derived sea-ice thickness data from CryoSat-2 and SMOS in the Arctic.
Q J R Meteorol Soc,
https://doi.org/10.1002/qj.4252
IV-TT Morioka, Y., Iovino, D., Cipollone, A., Masina, S., & Behera, S. K., 2022: Decadal Sea Ice Prediction in the West Antarctic Seas with Ocean and Sea Ice Initializations
Communications Earth & Environment
https://doi.org/10.1038/s43247-022-00529-z
DA-TT Nakanowatari T, J Xie, L Bertino, M Matsueda, A Yamagami, J Inoue, 2022: Ensemble forecast experiments of summertime sea ice in the Arctic Ocean using the TOPAZ4 ice-ocean data assimilation system
Environmental Research, 209
https://doi.org/10.1016/j.envres.2022.112769
OS-Eval TT Norman G. Loeb, Michael Mayer, Seiji Kato, John Fasullo, Hao Zuo, Retish Senan, John Miller Lyman, Gregory C. Johnson, Magdalena Alonso-Balmaseda, 2022: Evaluating Twenty-Year Trends in Earth’s Energy Flows from Observations
Journal of Geophysical Research – Atmospheres.,
https://www.essoar.org/doi/10.1002/essoar.10510650.1
COSS-TT Oliver, B., Veitch, J., & Reason, C. J. C., 2022: Variability in high wave energy events around the southern African coast
Journal of Geophysical Research: Oceans, 127
https://doi.org/10.1029/2021JC018255
COSS-TT Park, K., I. Federico, E. Di Lorenzo, T. Ezer, K. M. Cobb, N. Pinardi, G. Coppini, 2022: The contribution of hurricane remote ocean forcing to storm surge along the Southeastern U.S. coast
Coastal Engineering, Volume 173, 104098
https://doi.org/10.1016/j.coastaleng.2022.104098
COSS-TT Pavlov, V.; Aguiar, V.C.M.d.; Hole, L.R.; Pongrácz, E., 2022: A 30-Year
Probability Map for Oil Spill Trajectories in the Barents Sea to Assess
Potential Environmental and Socio-Economic Threats

Resources 11, no. 1: 1.
https://doi.org/10.3390/resources11010001
COSS-TT Pérez-Bello, Alexis, Ida Mitrani-Arenal, Oscar O. Díaz-Rodríguez, Cecilie Wettre, Lars Robert Hole, 2022: A numerical prediction system combining ocean, waves and atmosphere models in the Inter-American Seas and Cuba
Revista Cubana De Meteorología,
http://rcm.insmet.cu/index.php/rcm/article/view/459/623
COSS-TT Perrie, W., Meylan, M., Toulany,B., Caseym M., 2022: Modelling Wave-Ice Interactions in Three-Dimensions in the Marginal Ice Zone
Philosophical Transactions of The Royal Society A Mathematical Physical and Engineering Sciences 380(2235)
https://doi.org/10.1098/rsta.2021.0263
COSS-TT Perrie, W., Toulany, B., Casey, M., 2022: A Generalized Two – Scale Approximation for Ocean Wave Models Forecasting
Front. Mar. Sci., Sec. Physical Oceanography
https://doi.org/10.3389/fmars.2022.867423
COSS-TT Polton, J. A., Harle, J., Holt, J., Katavouta, A., Partridge, D., Jardine, J., Wakelin, S., Rulent, J., Wise, A., Hutchinson, K., Byrne, D., Bruciaferri, D., O’Dea, E., De Dominicis, M., Mathiot, P., Coward, A., Yool, A., Palmieri, J., Lessin, G., Mayorga-Adame, G., Le Guennec, V., Arnold, A., and Rousset, C.:, 2022: Reproducible and Relocatable Regional Ocean Modelling: Fundamentals and practices
Geoscientific Model Development
https://doi.org/10.5194/gmd-2022-217
https://gmd.copernicus.org/preprints/gmd-2022-217/
COSS-TT Pranavam Ayyappan Pillai, U., Pinardi, N., Federico, I., Causio, S., Trotta, F., Unguendoli, S., and Valentini, A., 2022: Wind-wave characteristics and extremes along the Emilia-Romagna coast
Nat. Hazards Earth Syst. Sci 22, 3413–3433
https://doi.org/10.5194/nhess-22-3413-2022
COSS-TT Ragoasha, M. N., Herbette, S., Veitch, J., Cambon, G., Reason, C. J. C., & Roy, C., 2022: Inter-annual variability of the along-shore Lagrangian transport success in the southern Benguela Current upwelling system
Journal of Geophysical Research: Oceans, 127
https://doi.org/10.1029/2020JC017114
COSS-TT Russo CS, Veitch J, Carr M, Fearon G and Whittle C, 2022: An Intercomparison of Global Reanalysis Products for Southern Africa’s Major Oceanographic Features
Frontiers in Marine Science,
https://doi.org/10.3389/fmars.2022.837906
MEAP-TT Rutherford, K., Fennel, K., 2022: Elucidating coastal ocean carbon transport processes: A novel approach applied to the northwest North Atlantic Shelf
Geophysical Research Letters
https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2021GL097614
COSS-TT Olgay Şen, Şehriban Saçu, Tarkan Erdik, İzzet Öztürk, Emil V. Stanev, 2022: Assessing the potential impacts of the Canal Istanbul on the physical oceanography of the Turkish Straits System
Continental Shelf Research, 240, 104723, ISSN 0278-4343.
https://doi.org/10.1016/j.csr.2022.104723
DA-TT Shah, Abhishek; Bertino, Laurent;  Counillon, Francois;  El Gharamti, Mohamad;  Xie, Jiping , 2022: Assimilation of semi-qualitative sea ice thickness data with the EnKF-SQ: a twin experiment
Tellus A, 72
https://doi.org/10.1080/16000870.2019.1697166
CP-TT Siddorn, John; Bernier, Natacha B.; Breivik, Øyvind; Christensen, Kai H.; Penny, Stephen G. and Wang, Keguang, 2022: Coupled Prediction: Integrated Atmosphere-Wave-Ocean forecasting.
In: Fanjul, E. Alvarez; Bahurel, P., (eds.) Implementing Operational Ocean Monitoring and Forecasting Systems
http://nora.nerc.ac.uk/id/eprint/532912/
CP-TT, IV-TT, COSS-TT, DA-TT Siddorn, J. ; Blair, G.; Boot, D.; Buck, J.; Kingdon, A. ; Kloker, A.; Kokkinaki, A.; Moncoiffe, G.; Blyth, E.; Fry, M.; Heaven, R.; Lewis, E.; Marchant, B.; Napier, B. ; Passmore, J.; Pepler, S.; Townsend, P.; Watkins, J.; Winfield, K.., 2022: An Information Management Framework for Environmental Digital Twins (IMFe)
IMFe Summary Report,23pp.
https://doi.org/10.5281/zenodo.7004350
http://nora.nerc.ac.uk/id/eprint/533054
DA-TT, MEAP-TT, Met Office FOAM system Skákala, J., Bruggeman, J., Ford, D., Wakelin, S., Akpınar, A., Hull, T., Kaiser, J., Loveday, B.R., O’Dea, E., Williams, C.A. and Ciavatta, S., 2022: The impact of ocean biogeochemistry on physics and its consequences for modelling shelf seas
Ocean Modelling,
https://doi.org/10.1016/j.ocemod.2022.101976
IV-TT, DA-TT, ECCC GIOPS and RIOPS systems Smith, G.C. and Fortin, A.-S., 2022: Verification of eddy properties in operational oceanographic analysis systems
Ocean Modelling, 172
https://doi.org/10.1016/j.ocemod.2022.101982
MEAP-TT Solidoro, C., Cossarini, G., Lazzari, P., Galli, G., Bolzon, G., Somot, S., Salon, S., 2022: Modeling Carbon Budgets and Acidification in the Mediterranean Sea Ecosystem Under Contemporary and Future Climate
Frontiers in Marine Science
https://doi.org/10.3389/fmars.2021.781522
https://www.frontiersin.org/articles/10.3389/fmars.2021.781522/full
COSS-TT Stanev, E. V., Wahle, K., & Staneva, J., 2022: The synergy of data from profiling floats, machine learning and numerical modeling: Case of the Black Sea euphotic zone.
Journal of Geophysical Research: Oceans, 127, e2021JC018012,
https://doi.org/10.1029/2021JC018012
COSS-TT Sutherland, G., de Aguiar, V., Hole, L. R., Rabault, J., Dabboor, M., & Breivik, Ø., 2022: Estimating a mean transport velocity in the
marginal ice zone using ice–ocean prediction systems.

The Cryosphere, 16(5), 2103-2114
https://doi.org/10.5194/tc-16-2103-2022
COSS-TT Thewes D, Stanev EV and Zielinski O, 2022: Steps Toward Modelling the Past and Future North Sea Ecosystem With a Focus on Light Climate
Front. Mar. Sci. 9:818383,
https://doi.org/10.3389/2022.818383
DA-TT Thouvenin-Masson, Clovis; Boutin, Jacqueline; Vergely, Jean-Luc; Reverdin, Gilles; Martin, Adrien C. H.; Guimbard, Sébastien; Reul, Nicolas; Sabia, Roberto; Catany, Rafael; Hembise Fanton-d’Andon, Odile., 2022: Satellite and in situ sampling mismatches: Consequences for the estimation of satellite sea surface salinity uncertainties
Remote Sensing,14 (8), 1878
http://dx.doi.org/10.3390/rs14081878
http://nora.nerc.ac.uk/id/eprint/532649/
COSS-TT Umesh Pranavam Ayyappan Pillai, N. Pinardi, J. Alessandri, I. Federico, S. Causio, S. Unguendoli, A. Valentini, J. Staneva: 2022: A Digital Twin modelling framework for the assessment of seagrass Nature Based Solutions against storm surges
Science of The Total EnvironmentVolume 847, 15 November 2022, 157603
http://dx.doi.org/10.1016/j.scitotenv.2022.157603
COSS-TT, DA-TT, JMA System Usui, N., and Ogawa, K., 2022: Sea level variability along the Japanese coast forced by the Kuroshio and its extension
Journal of Oceanography
https://doi.org/10.1007/s10872-022-00657-2
OS-Eval TT Winkelbauer, S., Mayer, M., Seitner, V., Zsoter, E., Zuo, H., and Haimberger, L, 2022:  Diagnostic evaluation of river discharge into the Arctic Ocean and its impact on oceanic volume transports
Hydrol. Earth Syst. Sci., Volume 26, 279–304
https://hess.copernicus.org/articles/26/279/2022/
COSS-TT Wise A, J Harle, D Bruciaferri, E O’Dea, J Polton, 2022: The effect of vertical coordinates on the accuracy of a shelf sea model
Ocean Modelling, 170
Https://doi.org/10.1016/j.ocemod.2021.101935
COSS-TT Wullenweber, Nellie, Lars R. Hole, Peygham Ghaffari, Inger Graves, Harald Tholo, and Lionel Camus., 2022: SailBuoy Ocean Currents: Low-Cost Upper-Layer Ocean Current Measurements
Sensors. 2022; 22(15):5553
https://doi.org/10.3390/s22155553
COSS-TT Zhang, B., Mouche, A., Perriem W., 2022: First Quasi-Synchronous Hurricane Quad-Polarization Observations by C-band Radar Constellation Mission and RADARSAT-2
IEEE Transactions on Geoscience and Remote Sensing (Volume: 60)
https://doi.org/10.1109/TGRS.2022.3161002
2021                                                                                                                                                                                      Top
COSS-TT Accarino, G., Chiarelli, M., Fiore, S., Federico, I., Causio, S., Coppini, G., & Aloisio, G., 2021: A multi-model architecture based on Long Short-Term Memory neural networks for multi-step sea level forecasting.
Future Generation Computer Systems, Volume 124, 1- 9
https://doi.org/10.1016/j.future.2021.05.008
COSS-TT Andersson, T. R., Hosking, J. S., Pérez-Ortiz, M., Paige, B., Elliott, A., Russell, C., … & Shuckburgh, E., 2021: Seasonal Arctic sea ice forecasting with probabilistic deep learning
Nature communications,12(1), 1-12
https://doi.org/10.1038/s41467-021-25257-4
COSS-TT Androulidakis, Yannis, Vassiliki Kourafalou, Maria Josefina Olascoaga, Francisco Javier Beron‑Vera, Matthieu Le Hénaff, Heesook Kang, Nektaria Ntaganou, 2021: Impact of Caribbean Anticyclones on Loop Current variability,
Ocean Dynamics volume 71, pages 935–956 (2021)
https://doi.org/10.1007/s10236-021-01474-9
https://link.springer.com/article/10.1007%2Fs10236-021-01474-9
COSS-TT Androulidakis, Yannis, Vassiliki Kourafalou, Matthieu Le Hénaff, HeeSook Kang, Nektaria Ntaganou, 2021: The role of mesoscale dynamics over Northwestern Cuba on the Loop Current evolution in 2010, during the Deepwater Horizon incident,
Journal of Marine Science and Engineering, 9, 188
https://doi.org/10.3390/jmse9020188
https://www.mdpi.com/2077-1312/9/2/188
COSS-TT Androulidakis, Yannis, Vassilis Kolovoyiannis, Christos Makris, Yannis Krestenitis, Vasilis Baltikas, Natassa Stefanidou, Andromachi Chatziantoniou, Konstantinos Topouzelis, Maria Moustaka-Gouni, 2021: Effects of ocean circulation on the eutrophication of a Mediterranean gulf with river inlets: the Northern Thermaikos Gulf,
Continental Shelf Research, 221, 104416
https://doi.org/10.1016/j.csr.2021.104416
https://www.sciencedirect.com/science/article/abs/pii/S027843432100073X?via%3Dihub
OS-Eval TT Balan-Sarojini, B., S. Tietsche, M. Mayer, M. Balmaseda, H. Zuo, P. de Rosnay, T. Stockdale and F. Vitart, 2021: Year-round Impact of Winter Sea Ice Thickness Observations on Seasonal Forecasts
The Cryosphere, 15, 325–344
https://tc.copernicus.org/articles/15/325/2021/
IV-TT Basconcillo, Joseph, Il-Ju Moon, Bin Wang and Malcolm Mistry, 2021: Possible influence of the Warm Pool ITCZ on compound climate extremes during the boreal summer,
Environmental Research Letters, 16, 114039
https://doi.org/10.1088/1748-9326/ac30f8
https://iopscience.iop.org/article/10.1088/1748-9326/ac30f8
OS-Eval TT, Mercator Ocean system Benkiran M., R. Giovanni, Greiner E., Le Traon P-Y., Rémy E., Lellouche J-M., Bourdallé-Badie R., Drillet Y., Tchonang B., 2021: Assessing the Impact of the Assimilation of SWOT Observations in a Global High-Resolution Analysis and Forecasting System Part 1: Methods,
Frontiers in Marine Science, 8, 947
https://doi.org/10.3389/fmars.2021.691955
https://www.frontiersin.org/articles/10.3389/fmars.2021.691955/full
MEAP-TT Bever, A.J., M.A.M. Friedrichs, P. St-Laurent, 2021: Real-time environmental forecasts of the Chesapeake Bay: Model setup, improvements and online visualization,
Environmental Modelling and Software, 105036
https://doi.org/10.1016/j.envsoft.2021.105036
https://www.sciencedirect.com/science/article/pii/S1364815221000797?via%3Dihub
DA-TT, OS-Eval TT Bonaduce A, Cipollone A, Johannessen JA, Staneva J, Raj RP and Aydogdu A, 2021: Ocean Mesoscale Variability: A Case Study on the Mediterranean Sea From a Re-Analysis Perspective,
Front. Earth Sci., 9724879
https://doi.org/10.3389/feart.2021.724879
https://www.frontiersin.org/articles/10.3389/feart.2021.724879
DA-TT Bonaduce, Antonio, Andrea Cipollone, Johnny A. Johannessen, Joanna Staneva, Roshin P. Raj and Ali Aydogdu, 2021: Ocean Mesoscale Variability: A Case Study on the Mediterranean Sea From a Re-Analysis Perspective
Frontiers in Earth Science, 16
https://doi.org/10.3389/feart.2021.724879
COSS-TT Byrne, D., Polton, J. and Bell, C., 2021: Creation of a global tide analysis dataset: Application of NEMO and an offline objective analysis scheme
Journal of Operational Oceanography, pp.1-14
https://doi.org/10.1080/1755876X.2021.2000249
MEAP-TT Chakraborty, K., Valsala, V., Bhattacharya, T., & Ghosh, J., 2021: Seasonal cycle of surface ocean pCO2 and pH in the northern Indian Ocean and their controlling factors
Progress in Oceanography
https://www.sciencedirect.com/science/article/pii/S0079661121001671
OP systems Chamberlain, M.A., Oke, P.R., Fiedler, R.A., Beggs, H.M., Brassington, G.B. and Divakaran, P., 2021. Next generation of Bluelink ocean reanalysis with multiscale data assimilation: BRAN2020.
Earth System Science Data Discussions, pp.1-31
https://doi.org/10.5194/essd-13-5663-2021
https://essd.copernicus.org/articles/13/5663/2021/
DA-TT, IV-TT, MEAP-TT Ciliberti, S.A., Grégoire, M., Staneva, J., Palazov, A., Coppini, G., Lecci, R., Peneva, E., Matreata, M., Marinova, V., Masina, S., Pinardi, N., Jansen, E., Lima, L., Aydoğdu, A., Creti’, S., Stefanizzi, L., Azevedo, D., Causio, S., Vandenbulcke, L., Capet, A., Meulders, C., Ivanov, E., Behrens, A., Ricker, M., Gayer, G., Palermo, F., Ilicak, M., Gunduz, M., Valcheva, N., Agostini, P. , 2021: Monitoring and Forecasting the Ocean State and Biogeochemical Processes in the Black Sea: Recent Developments in the Copernicus Marine Service, J. Mar. Sci. Eng., 9, 1146.
https://doi.org/10.3390/jmse9101146
https://www.mdpi.com/2077-1312/9/10/1146
COSS-TT Cirano, M., Charria, G., De Mey-Frémaux, P., Kourafalou, V. K., Stanev, E., 2021: Coastal Ocean Forecasting Science supported by GODAE OceanView Coastal Oceans and Shelf Seas Task Team (COSS-TT)—Part II
Ocean Dynamics,
https://doi.org/10.1007/s10236-021-01464-x
COSS-TT,  IV-TT Coppini G., Clementi E., Cossarini G., Korres G., Drudi m.,et al, 2021: The Copernicus Marine Service ocean forecasting system for the Mediterranean Sea
9th Eurogoos Conference, 574 https://doi.org/10.13155/83160
https://eurogoos-conference.ifremer.fr/content/download/155266/file/EuroGOOS_9th_Conference_Proceedings_Web-150Dpi_vf.pdf
MEAP-TT Cossarini, G., Feudale, L., Teruzzi, A., Bolzon, G., Coidessa, G., Solidoro, C., Di Biagio, V., Amadio, C., Lazzari, P., Brosich, A., Salon, S., 2021: High-Resolution Reanalysis of the Mediterranean Sea Biogeochemistry (1999–2019)
Frontiers in Marine Science
https://doi.org/10.3389/fmars.2021.741486
https://www.frontiersin.org/articles/10.3389/fmars.2021.741486/full
MEAP-TT Da, F., M.A.M. Friedrichs, P. St-Laurent, E.H. Shadwick, R.G. Najjar, K. Hinson, 2021: Mechanisms driving decadal changes in the carbonate system of a coastal plain estuary
JGR-Oceans, 126
https://doi.org/10.1029/2021JC017239
DA-TT de Paula, T. P., J. A. M. Lima, C. A. S. Tanajura, M. Andrioni, R. P. Martins, W. Z. Arruda, 2021: The impact of ocean data assimilation on the simulation of mesoscale eddies at São Paulo plateau (Brazil) using the Regional Ocean Modeling System
Ocean Modeling, 167
https://doi.org/10.1016/j.ocemod.2021.101889
OS-Eval TT Domingues, R., M. Le Hénaff, G. Halliwell, J.A. Zhang, F. Bringas, P. Chardon, H.-S. Kim, J. Morell, and G. Goni, 2021: The impact of ocean conditions on the intensification and forecasts of three major Atlantic hurricanes of 2017,
Monthly Weather Review, 149(5), pp.1265-1286
https://doi.org/10.1175/MWR-D-20-0100.1
https://journals.ametsoc.org/view/journals/mwre/aop/MWR-D-20-0100.1/MWR-D-20-0100.1.xml
DA-TT, Met Office FOAM system Dong, B., K. Haines, M. Martin, 2021: Improved High Resolution Ocean Reanalyses Using a Simple Smoother Algorithm
Journal of Advances in Modeling Earth Systems, 13
https://doi.org/10.1029/2021MS002626
DA-TT, IV-TT Escudier, Romain, Emanuela Clementi, Andrea Cipollone, Jenny Pistoia, Massimiliano Drudi, Alessandro Grandi, Vlyadyslav Lyubartsev, Rita Lecci, Ali Aydogdu, Damiano Delrosso, Mohamed Omar, Simona Masina, Giovanni Coppini and Nadia Pinardi, 2021: A high resolution reanalysis for the Mediterranean Sea,
Front. Earth Sci., 9, 1060
https://doi.org/10.3389/feart.2021.702285
https://www.frontiersin.org/articles/10.3389/feart.2021.702285/full
MEAP-TT, DA-TT Ford, D., 2021: Assimilating synthetic Biogeochemical-Argo and ocean colour observations into a global ocean model to inform observing system design,
Biogeosciences, 18, 509-534
https://doi.org/10.5194/bg-18-509-2021
https://bg.copernicus.org/articles/18/509/2021/
COSS-TT Franz G, Garcia CAE, Pereira J, de Freitas Assad LP, Rollnic M, Garbossa LHP, da Cunha LC, Lentini CAD, Nobre P, Turra A, Trotte-Duhá JR, Cirano M, Estefen SF, Lima JAM, Paiva AM, Noernberg MA, Tanajura CAS, Moutinho JL, Campuzano F, Pereira ES, Lima AC, Mendonça LFF, Nocko H, Machado L, Alvarenga JBR, Martins RP, Böck CS, Toste R, Landau L, Miranda T, dos Santos F, Pellegrini J, Juliano M, Neves R and Polejack A, 2021: Coastal Ocean Observing and Modeling Systems in Brazil: Initiatives and Future Perspectives
Frontiers of Marine Science,
https://doi.org/10.3389/fmars.2021.681619
COSS-TT Freitas, P. P., Paiva, A. M., Cirano, M. Mill, G. N., Costa, V. S., Gabioux, M., Fran, B. R. L., 2021: Coastal trapped waves propagation along the Southwestern Atlantic Continental Shelf
Continental Shelf Research,
https://doi.org/10.1016/j.csr.2021.104496
CP-TT, OS-Eval TT, DA-TT,  JMA System Fujii, Y., T. Ishibashi, T. Yasuda, Y. Takaya, C. Kobayashi, and I. Ishikawa, 2021: Improvements in tropical precipitation and sea surface air temperature fields in a coupled atmosphere–ocean data assimilation system,
Quarterly Journal of the Royal Meteorological Society, 147, 1317-1343
https://doi.org/10.1002/qj.3973
https://rmets.onlinelibrary.wiley.com/doi/10.1002/qj.3973
COSS-TT Fukai, D. T. , Oaquim, A. B. J. , Cirano, M., 2021: How Might the Ocean Change in the Future?
Frontiers of Young Minds,
https://kids.frontiersin.org/articles/10.3389/frym.2021.700622
DA-TT, Mercator Ocean system Gasparin, F., Cravatte, S., Greiner, E., Perruche, C., Hamon, M., Van Gennip, S., & Lellouche, J. M., 2021: Excessive productivity and heat content in tropical Pacific analyses: Disentangling the effects of in situ and altimetry assimilation,
Ocean Modelling, Vol 160
https://doi.org/10.1016/j.ocemod.2021.101768
https://www.sciencedirect.com/science/article/pii/S1463500321000184?via%3Dihub
DA-TT, OS-Eval TT Hanna- Kim, Young Ho Kim and Kyoung-Ok Kim, 2021: Application of data assimilation for spectral wave model in coastal regions of South Korea
Journal of Coastal Research, 114(SI), 76–80
https://doi.org/10.2112/JCR-SI114-016.1
MEAP-TT Hinson, K., M.A.M. Friedrichs, P. St-Laurent, F. Da, R.G. Najjar, 2021: Extent and causes of Chesapeake Bay warming
JAWRA,
https://doi.org/10.1111/1752-1688.12916
COSS-TT Hirose, Naoki, Tianran Liu, Katsumi Takayama, Katsuto Uehara, Takeshi Taneda, and Young Ho Kim, 2021: Vertical viscosity coefficient increased for high-resolution modeling of the Tsushima/Korea Strait,
J. Atmos. Oceanic Technol., 38, 1205-1215
https://doi.org/10.1175/JTECH-D-20-0156.1
https://journals.ametsoc.org/view/journals/atot/38/6/JTECH-D-20-0156.1.xml
IV-TT Hojin Kim , Ki-Young Heo, Nam-Hoon Kim and Jae-Il Kwon, 2021: Hindcasts of Sea Surface Wind around the Korean Peninsula Using the WRF Model: Added Value Evaluation and Estimation of Extreme Wind Speeds,
Atmosphere, 12(7), 895
https://doi.org/10.3390/atmos12070895
https://www.mdpi.com/2073-4433/12/7/895
COSS-TT Hole, L. R., de Aguiar, V., Dagestad, K. F., Kourafalou, V. H., Androulidakis, Y., Kang, H., … & Calzada, A, 2021: Long term simulations of potential oil spills around Cuba
Marine Pollution Bulletin
http://dx.doi.org/10.1016/j.marpolbul.2021.112285
COSS-TT Holdsworth, A., L. Zhai, Y. Lu, and J. Christian, 2021: Future changes in oceanography and biogeochemistry along the Canadian Pacific continental margin
Frontiers in Marine Sciences ,
https://www.frontiersin.org/articles/10.3389/fmars.2021.602991/full
MEAP-TT Hood, R.R., G. Shenk and co-authors, 2021: The Chesapeake Bay Program Modelling System:  overview and recommendations for future development
Ecological Modeling, 456
https://doi.org/10.1016/j.ecolmodel.2021.109635
IV-TT Hyeonji Bae, Dabin Lee, Jae Joong Kang, Jae Hyung Lee, Naeun Jo, Kwanwoo Kim, Hyo Keun Jang, Myung Joon Kim, Yejin Kim, Jae-Il Kwon and Sang Heon Lee, 2021: Satellite-Derived Protein Concentration of Phytoplankton in the Southwestern East/Japan Sea,
Journal of Marine Science and Engineering, 9, 189-203
https://doi.org/10.3390/jmse9020189
https://www.mdpi.com/2077-1312/9/2/189
COSS-TT Ilicak, M., Federico, I., Barletta, I., Mutlu, S., Karan, H., Ciliberti, S.A., Clementi, E., Coppini, G., Pinardi, N. , 2021: Modeling of the Turkish Strait System using a high resolution unstructured grid ocean circulation model
J. Mar. Sci. Eng., 9(7), 769;
https://doi.org/10.3390/jmse9070769
COSS-TT Jacob B and Stanev EV, 2021: Understanding the Impact of Bathymetric Changes in the German Bight on Coastal Hydrodynamics: One Step Toward Realistic Morphodynamic Modeling.
Front. Mar. Sci. 8:640214.,
https://doi.org/10.3389/fmars.2021.640214
IV-TT Jae-Youll Jin, Jong Dae Do, Jin-Soon Park, Jun Seok Park, Byunggil Lee, Sung-Doo Hong, Sung-Ju Moon, Keun Choon Hwang and Yeon S. Chang, 2021: Intelligent Buoy System (INBUS): Automatic Lifting Observation System for Macrotidal Coastal Waters,
Frontiers in Marine Science, 8, 668673
https://doi.org/10.3389/fmars.2021.668673
https://www.frontiersin.org/articles/10.3389/fmars.2021.668673/full
IV-TT Jong Dae Do, Jae-Youll Jin, Weon Mu Jeong, Byunggil Lee, Chang Hwan Kim, Yeon S. Chang, 2021: Observation of nearshore crescentic sandbar formation during storm wave conditions using satellite images and video monitoring data,
Marine Geology, 442, 106661
https://doi.org/10.1016/j.margeo.2021.106661
https://www.sciencedirect.com/science/article/pii/S0025322721002437?via%3Dihub
IV-TT Jong Dae Do, Jae-Youll Jin, Weon Mu Jeong,Byunggil Lee, Jin Yong Choi and Yeon S. Chang, 2021: Collapse of a Coastal Revetment Due to the Combined Effect of Anthropogenic and Natural Disturbances,
Sustainability, 13(7), 3712
https://doi.org/10.3390/su13073712
https://www.mdpi.com/2071-1050/13/7/3712
IV-TT Kamolov, Ahmadhon Akbarkhonovich and Suhyun Park, 2021: Prediction of Depth of Seawater Using Fuzzy C-Means Clustering Algorithm of Crowdsourced SONAR Data,
Sustainability, 13(11), 5823
https://doi.org/10.3390/su13115823
https://www.mdpi.com/2071-1050/13/11/5823
DA-TT, OS-Eval TT, Met Office FOAM system King, R. R. and Martin, M. J., 2021: Assimilating realistically simulated wide-swath altimeter observations in a high-resolution shelf-seas forecasting system
Ocean Science, 17, 1791–1813
https://doi.org/10.5194/os-17-1791-2021
CP-TT, OS-Eval TT, DA-TT,  JMA System Kobayashi, C., Y. Fujii, I. Ishikawa, 2021: Intraseasonal SST-Precipitation Relationship in a coupled reanalysis experiment using the MRI coupled atmosphere-ocean data assimilation system,
Climate Dynamics, 56, 2377-2388
https://doi.org/10.1007/s00382-020-05592-w
https://link.springer.com/article/10.1007%2Fs00382-020-05592-w
IV-TT Kyungman Kwon, Byoung-Ju Choi, Sung-Gwan Myoung and Han-Seul Sim, 2021: Propagation of a Meteotsunami from the Yellow Sea to the Korea Strait in April 2019,
Atmosphere, 12(8), 1083
https://doi.org/10.3390/atmos12081083
https://www.mdpi.com/2073-4433/12/8/1083
OS-Eval TT Landy, J. C., Bouffard, J., Wilson, C., Rynders, S., Aksenov, Y., & Tsamados, M., 2021: Improved Arctic sea ice freeboard retrieval from satellite altimetry using optimized sea surface decorrelation scales
Journal of Geophysical Research: Ocean,126(12), e2021JC017466
https://doi.org/10.1029/2021JC017466
MEAP-TT Laurent, A., Fennel, K., Kuhn, A., 2021: An observation-based evaluation and ranking of historical Earth system model simulations in the northwest North Atlantic Ocean
Biogeosciences, 18, 1803-1822
https://bg.copernicus.org/articles/18/1803/2021/bg-18-1803-2021.pdf
OS-Eval TT Le Hénaff, M., R. Domingues, G. Halliwell, J.A. Zhang, H.S. Kim, M. Aristizabal, T. Miles, S. Glenn, and G. Goni, 2021: The role of the Gulf of Mexico ocean conditions in the intensification of Hurricane Michael (2018),
Journal of Geophysical Research : Oceans, 126, p.e2020JC016969
https://doi.org/10.1029/2020JC016969
https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2020JC016969
Mercator Ocean system Lellouche J-M., E. Greiner, R. Bourdallé-Badie, G. Garric, A. Melet, M. Drévillon, C.  Bricaud, M. Hamon, O. Le Galloudec, C. Regnier, T. Candela, C-E. Testut, F. Gasparin, G. Ruggiero, M. Benkiran, Y. Drillet, P-Y. Le Traon, 2021: The Copernicus Global 1/12° Oceanic and Sea Ice GLORYS12 Reanalysis,
Frontiers in Earth Science, 9, 585
https://doi.org/10.3389/feart.2021.698876
https://www.frontiersin.org/article/10.3389/feart.2021.698876
DA-TT, ROMS Levin, J., H. Arango, B. Laughlin, E. Hunter, J. Wilkin, A. Moore, 2021: Observation impacts on the Mid-Atlantic Bight front and cross-shelf transport in 4D-Var ocean state estimates: Part II—The Pioneer Array,
Ocean Modelling, Vol 157, online publication
https://doi.org/10.1016/j.ocemod.2020.101731
DA-TT, ROMS Levin, J., H. Arango, B. Laughlin, E. Hunter, J. Wilkin, A. Moore, 2021: The impact of remote sensing observations on cross-shelf transport estimates from 4D-Var analyses of the Mid-Atlantic Bight,
Advances in Space Research, Vol 68, issue 2, pg 553-570
https://doi.org/10.1016/j.asr.2019.09.012
DA-TT Lima, L., Ciliberti, S.A., Aydoğdu, A., Masina, S., Escudier, R., Cipollone, A., Azevedo, D., Causio, S., Peneva, E., Lecci, R., Clementi, E., Jansen, E., Ilicak, M., Cretì, S., Stefanizzi, L., Palermo, F. and Coppini, G., 2021: Climate Signals in the Black Sea From a Multidecadal Eddy-Resolving Reanalysis,
Front. Mar. Sci., 8710973
https://doi.org/10.3389/fmars.2021.710973
https://www.frontiersin.org/articles/10.3389/fmars.2021.710973/full
COSS-TT Liu Y, J Xie, Z Liu, J Gan, J Zhu, 2021: The assimilation of temperature and salinity profile observations for forecasting the river–estuary–shelf waters
Journal of Geophysical Research: Oceans, 126(10)
https://doi.org/10.1029/2020JC017043
COSS-TT Liubartseva, Svitlana,  Ivan Federico, Giovanni Coppini, Rita Lecci., 2021: Stochastic oil spill modeling for environmental protection at the Port of Taranto (southern Italy)
Marine Pollution Bulletin, 171, 112744
https://doi.org/10.1016/j.marpolbul.2021.112744
MEAP-TT Lopez, A.G., R.G. Najjar, M.A.M. Friedrichs, M. A. Hickner, D.H. Wardrop, 2021: Estuaries as Filters for Riverine Microplastics: Simulations in a Large, Coastal-Plain Estuary
Frontiers in Marine Science
https://www.frontiersin.org/articles/10.3389/fmars.2021.715924/full
COSS-TT, Topical Collection II Mauro Cirano, Guillaume Charria, Pierre De Mey-Frémaux, Vassiliki H. Kourafalou & Emil Stanev, 2021: Coastal Ocean Forecasting Science supported by GODAE OceanView Coastal Oceans and Shelf Seas Task Team (COSS-TT)—Part II, Topical Collection on Coastal Ocean Forecasting Science supported by the GODAE OceanView Coastal Oceans and Shelf Seas Task Team (COSS-TT) – Part II;

Ocean Dynamics, vol. 71, pages 779–783 (2021)
https://doi.org/10.1007/s10236-021-01464-x
https://link.springer.com/article/10.1007/s10236-021-01464-x

IV-TT, Met Office (regional) FOAM system Mittermaier, M., North, R., Maksymczuk, J., Pequignet, C., and Ford, D, 2021: Using feature-based verification methods to explore the spatial and temporal characteristics of the 2019 chlorophyll-a bloom season in a model of the European Northwest Shelf,
Ocean Science, 17, 1527-1543
https://doi.org/10.5194/os-17-1527-2021
https://os.copernicus.org/articles/17/1527/2021/
DA-TT, ROMS Moore, A, H. Arango, 2021: On the behavior of ocean analysis and forecast error covariance in the presence of baroclinic instability,
Ocean Modelling, Vol 157, online publication
https://doi.org/10.1016/j.ocemod.2020.101733
DA-TT, ROMS Moore, A., J. Levin, H. Arango, J. Wilkin, 2021: Assessing the performance of an ocean observing, analysis and forecast System for the Mid-Atlantic Bight using array modes,
Ocean Modelling, Vol 164, online publication
https://doi.org/10.1016/j.ocemod.2021.101821
IV-TT Myung‑Seok Kim, Hyunmin Eom, Sung Hyup You, Seung‑Buhm Woo, 2021: Real-time pressure disturbance monitoring system in the Yellow Sea: pilot test during the period of March to April 2018,
Natural Hazards, 106, 1703–1728
https://doi.org/10.1007/s11069-020-04245-9
https://link.springer.com/article/10.1007%2Fs11069-020-04245-9
COSS-TT Nguyen-Duy Tung, N. Ayoub, P. Marsaleix, F. Toublanc, P. De Mey-Frémaux, V. Piton, M. Herrmann, T. Duhaut, Manh Tran, Ngo-Duc Thanh, 2021: Variability of the Red River Plume in the Gulf of Tonkin as Revealed by Numerical Modeling and Clustering Analysis
Frontiers in Marine Science, Frontiers Media, 2021, 8, pp.772139.
https://doi.org/10.3389/fmars.2021.772139 .⟨hal-03441704⟩
COSS-TT (B) Pascual, A, D Macias, 2021: Ocean science challenges for 2030;
CSIC Scientifc Challenges: Towards 2030, Full book
http://libros.csic.es/download.php?id=1491&pdf=products_pdfcomple&PHPSESSID=055174204ed7cdd9ce6c5061cd48aa92
COSS-TT Pein J, Eisele A, Sanders T, Daewel U, Stanev EV, van Beusekom JEE, Staneva J and Schrum C, 2021: Seasonal Stratification and Biogeochemical Turnover in the Freshwater Reach of a Partially Mixed Dredged Estuary
Front. Mar. Sci. 8:623714,
https://doi.org/10.3389/fmars.2021.623714
COSS-TT Peneva, Elisaveta , Emil Stanev, Stefania Ciliberti, Leonardo Lima, Ali Aydogdu, Veselka Marinova and Nadejda Valcheva, 2021: Interannual variations of the Black Sea Rim Current
Journal of Operational Oceanography, s53–s59.,
https://doi.org/10.1080/1755876X.2021.1946240
MEAP-TT Ross, A.C., C.A. Stock, K.W. Dixon, M.A.M. Friedrichs, R.R. Hood, M. Li, K. Pegion, V.
Saba, G. A. Vecchi, 2021: Estuarine forecasts at daily weather to subseasonal time scales,
Earth and Space Science, 7
https://doi.org/doi.org/10.1029/2020EA001179
https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2020EA001179
MEAP-TT Rutherford, K., Fennel, K., Atamanchuk, D., Wallace, D., and Thomas, H., 2021: A modeling study of temporal and spatial pCO2 variability on the biologically active and temperature-dominated Scotian Shelf
Biogeosciences
https://doi.org/10.5194/bg-18-6271-2021
https://bg.copernicus.org/articles/18/6271/2021/
DA-TT, OS-Eval TT Sang-Yeob Kim , Young-Gyu Park, Young Ho Kim, Seongbong Seo, Hyunkeun Jin, Gyundo Pak, and Ho Jin Lee, 2021: Origin, variability, and pathways of East Sea Intermediate Water in a High-Resolution Ocean Reanalysis,
Journal of Geophysical Research: Oceans, 126(6), 1-15
https://doi.org/10.1029/2020JC017158
https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2020JC017158
MEAP-TT Scavia, D., I. Bertani, J.M. Testa, A.J. Bever, J.D. Blomquist, M.A.M. Friedrichs, L.C. Linker, B.D. Michael, R.R. Murphy, G.W. Shenk, 2021: Advancing estuarine ecological forecasts: seasonal hypoxia in Chesapeake Bay
Ecological Applications, 31
https://doi.org/10.1002/eap.238
IV-TT Seongbong Seo and Young-Gyu Park , 2021: Tracking a Coastal Wave Buoy, Lost from the Southern Coast of Jeju Island, Using Lagrangian Particle Modeling,
Journal of Marine Science and engineering, 9(8), 795
https://doi.org/10.3390/jmse9080795
https://www.mdpi.com/2077-1312/9/8/795
MEAP-TT, DA-TT, Met Office FOAM system Skákala, J., Ford, D., Bruggeman, J., Hull, T., Kaiser, J., King, R. R., Loveday, B., Palmer, M. R., Smyth, T., Williams, C., and Ciavatta, S., 2021: Towards a multi-platform assimilative system for North Sea biogeochemistry,
Journal of Geophysical Research: Oceans, 126, e2020JC016649
https://doi.org/10.1029/2020JC016649
https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2020JC016649
COSS-TT Skliris N, Marsh R, Srokosz M, Aksenov Y, Rynders S, Fournier N, 2021: Assessing Extreme Environmental Loads on Offshore Structures in the North Sea from High-Resolution Ocean Currents, Waves and Wind Forecasting
Journal of Marine Science and Engineering.,9(10):1052
https://doi.org/10.3390/jmse9101052
MEAP-TT Silva, E, Counillon, F, Brajard, J, Korosov, A, Pettersson, LH, Samuelsen, A, Keenlyside, N, 2021: Twenty-One Years of Phytoplankton Bloom Phenology in the Barents, Norwegian, and North Seas
Frontiers in Marine Science, 8
http://dx.doi.org/10.3389/fmars.2021.746327
DA-TT, COSS-TT, IV-TT Smith, G.C., Y. Liu, M. Benkiran, K. Chikhar, D. Surcel Colan, C.-E. Testut, F. Dupont, J. Lei, F. Roy, J.-F. Lemieux and F. Davidson, 2021: The Regional Ice Ocean Prediction System v2: a pan-Canadian ocean analysis system,
Geoscientific Model Development, 14(3), 1445-1467
https://doi.org/10.5194/gmd-14-1445-2021
GMD – The Regional Ice Ocean Prediction System v2: a pan-Canadian ocean analysis system using an online tidal harmonic analysis (copernicus.org)
IV-TT/Clivar NORP Solomon A., C. Heuzé, B. Rabe, S. Bacon,  L. Bertino, P. Heimbach, J. Inoue, D. Iovino, R. Mottram, X. Zhang, Y. Aksenov, R. McAdam, A. Nguyen, R. Raj, and H. Tang, 2021: Freshwater in the Arctic Ocean 2010-2019
Ocean Science, vol 17, pp. 1081–1102
https://doi.org/10.5194/os-17-1081-2021
COSS-TT Stanev, E.V., Ricker, M., Grayek, S., Jacob, B., Haid, V. and Staneva, J, 2020: Numerical Eddy-Resolving Modeling of the Ocean: Mesoscale and Sub-Mesoscale Examples.
Physical Oceanography, [e-journal] 27(6), pp. 631-658,
https://doi.org/10.22449/1573-160X-2020-6-631-658
COSS-TT Stanev, E. V., Chtirkova, B., & Peneva, E., 2021: Geothermal convection and double diffusion based on profiling floats in the Black Sea.
Geophysical Research Letters, 48, e2020GL091788.,
https://doi.org/10.1029/2020GL091788
COSS-TT Stanev, E. V., & Chtirkova, B., 2021: Interannual change in mode waters: Case of the Black Sea.
Journal of Geophysical Research: Oceans, 126, e2020JC016429.,
https://doi.org/10.1029/2020JC016429
DA-TT Storto, A, Andriopoulos, P. , 2021: A new stochastic ocean physics package and its application to hybrid-covariance data assimilation,
Q J R Meteorol Soc., 1691– 1725
https://doi.org/10.1002/qj.3990
DA-TT, CLIVAR/GSOP Storto, A., Balmaseda, M. A., de Boisseson, E., Giese, B. S., Masina, S., & Yang, C., 2021: The 20th century global warming signature on the ocean at global and basin scales as depicted from historical reanalyses,
International Journal of Climatology, 41 (13), 5977– 5997
https://doi.org/10.1002/joc.7163
DA-TT Storto, A., G. De Magistris, S. Falchetti, and P. Oddo, 2021: A neural-network based observation operator for coupled ocean acoustic data assimilation,
Monthly Weather Review, 149(6), 1967-1985
https://doi.org/10.1175/MWR-D-20-0320.1
OS-Eval TT, Mercator Ocean system Tchonang B. C., Benkiran M., Le Traon P.-Y., Van Gennip S., Lellouche J.-M., Ruggiero G., 2021: Assessing the Impact of the Assimilation of SWOT Observations in a Global High-Resolution Analysis and Forecasting System Part 2: results,
Frontiers in Marine Science, 8, 1208
https://doi.org/10.3389/fmars.2021.687414
https://www.frontiersin.org/articles/10.3389/fmars.2021.687414/full
DA-TT, MEAP-TT Teruzzi, A., Bolzon, G., Feudale, L., Cossarini, G., 2021: Deep chlorophyll maximum and nutricline in the Mediterranean Sea: emerging properties from a multi-platform assimilated biogeochemical model experiment,
Biogeosciences, Preprint bg-2021-97
https://doi.org/10.5194/bg-2021-97
https://bg.copernicus.org/preprints/bg-2021-97/#discussion
MEAP-TT Terzić, E., Salon, S., Cossarini, G., Solidoro, C., Teruzzi, A., Miró, A., Lazzari, P., 2021: Impact of interannually variable diffuse attenuation coefficients for downwelling irradiance on biogeochemical modelling,
Ocean Modelling, 161, 101793
https://doi.org/10.1016/j.ocemod.2021.101793
https://www.sciencedirect.com/science/article/pii/S1463500321000433
COSS-TT Thewes, D., Stanev, E. V., & Zielinski, O., 2021: The North Sea light climate: Analysis of observations and numerical simulations.
Journal of Geophysical Research: Oceans, 126, e2021JC017697.
https://doi.org/10.1029/2021JC017697
COSS-TT, JMA System Toyoda, T., Sakamoto, K., Usui, N., Hirose, N., Tanaka, K., Katsumata, T., Takahashi, D., Niki, M., Kutuswada, K, Miyama, T., Nakano, H., Urakawa, L. S., Komatsu, K., Kawakami, Y., and Yamanaka, G., 2021: Surface-layer circulations in Suruga Bay induced by intrusions of Kuroshio branch water
Frontiers in Marine Science
https://doi.org/10.3389/fmars.2021.721500
COSS-TT Trotta, F., Federico, I., Pinardi, N., Coppini, G., Causio, S., Jansen, E., Iovino D., Masina S. , 2021: A relocatable ocean modeling platform for downscaling to shelf-coastal areas to support disaster risk reduction
Front. Mar. Sci.,
https://doi.org/10.3389/fmars.2021.642815
COSS-TT Vervatis, V.D., P. De Mey-Frémaux, N. Ayoub, J. Karagiorgos, S. Ciavatta, R.J.W. Brewin, S. Sofianos, 2021: Assessment of a regional physical–biogeochemical stochastic ocean model. Part 2: Empirical consistency
Ocean Modelling, 160, pp.101770
http://dx.doi.org/10.1016/j.ocemod.2021.101770 . ⟨hal-03441458⟩
MEAP-TT Wang, B., Fennel, K., Yu, L., 2021: Can assimilation of satellite observations improve subsurface biological properties in a numerical model? A case study for the Gulf of Mexico
Ocean Science, 17, 1141-1156
https://os.copernicus.org/articles/17/1141/2021/
DA-TT Weaver, A. T., Chrust, M., Ménétrier, B., Piacentini, A., 2021: An evaluation of methods for normalizing diffusion-based covariance operators in variational data assimilation
28Quarterly Journal of the Royal Meteorological Society
https://rmets-onlinelibrary-wiley-com.insu.bib.cnrs.fr/doi/10.1002/qj.3918
COSS-TT Wenfeng Lai, Jianping Gan, Ye Liu, Zhiqiang Liu, Jiping Xie, and Jiang Zhu, 2021: Assimilating In Situ and Remote Sensing Observations in a Highly Variable Estuary–Shelf Model,
Journal of Atmospheric and Oceanic Technology, 459–479
https://doi.org/10.1175/JTECH-D-20-0084.1
https://journals.ametsoc.org/view/journals/atot/aop/JTECH-D-20-0084.1/JTECH-D-20-0084.1.xml
CP-TT Wilson, C., Aksenov, Y., Rynders, S. et al., 2021: Significant variability of structure and predictability of Arctic Ocean surface pathways affects basin-wide connectivity
Commun Earth Environ,2, 164
https://doi.org/10.1038/s43247-021-00237-0
COSS-TT Wu, Y., A, Huang, Y. Lu, Lazhu, X. Yang, B. Qiu, Z. Zhang, and X. Zhang, 2021: Numerical Study of the Thermal Structure and Circulation in a Large and Deep Dimictic Lake over Tibetan Plateau
Journal of Geophysical Research – Oceans.,
https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2021JC017517
MEAP-TT Yao, Y., H. Tian, S. Pan, R.G. Najjar, M.A.M. Friedrichs, Z. Bian, et al., 2021: Riverine carbon cycling over the past century in the Mid‐Atlantic region of the United States
JGR-Biogeosciences,
https://doi.org/10.1029/2020JG005968
COSS-TT Zavialov, P., 2021: Are Periodic Oscillations of Sea Surface Height Inherent to River Plumes?
Frontiers in Marine Science, Online publication
https://doi.org/10.3389/fmars.2021.679323
OSF Programme Yajuan Song, Qi Shu, Ying Bao, Xiaodan Yang and Zhenya Song, 2021: The Short-Term Climate Prediction System FIO-CPS v2.0 and its Prediction Skill in ENSO
Frontiers in Earth Science, 9, 759339
https://doi.org/10.3389/feart.2021.759339
2020                                                                                                                                                                                      Top
COSS-TT Arnold A, H Lewis, P Hyder,J Siddorn, E O’Dea, 2020: The Sensitivity of British Weather to Ocean Tides
GRL, 48
https://doi.org/10.1029/2020GL090732
IV-TT Chaewook Lim, Dong-Hoon Kim, Seung-Buhm Woo, Minsu Joh, Jooneun An, and Il-Ju Moon, 2020: Performance Comparisons on Parallel Optimization of Atmospheric and Ocean Numerical Circulation Models Using KISTI Supercomputer Nurion System,
Applied Sciences, 10(8), 2883
https://doi.org/10.3390/app10082883
https://www.mdpi.com/2076-3417/10/8/2883
MEAP-TT Chakraborty, K., Lotliker, A. A., Gupta, G. V. M., Narayanan Nampoothiri S, V., Paul, A., Ghosh, J., … & Samanta, A., 2020: Assessment of an ocean-ecosystem model in simulating the Indian coastal marine ecosystem dynamics
Journal of Operational Oceanography
https://doi.org/10.1080/1755876X.2020.1843298
DA-TT Cheng S., Aydoğdu A., Rampal P., Carrassi A., Bertino L., 2020: Probabilistic Forecasts of Sea Ice Trajectories in the Arctic: Impact of Uncertainties in Surface Wind and Ice Cohesion,
MDPI Oceans, 1(4), 326-342
https://doi.org/10.3390/oceans1040022
https://www.mdpi.com/2673-1924/1/4/22
DA-TT, IV-TT Cipollone, A., A. Storto, and S. Masina, 2020: Implementing a Parallel Version of a Variational Scheme in a Global Assimilation System at Eddy-Resolving Resolution,
J. Atmos. Oceanic Technol., 37(10), 1865-1876.
https://doi.org/10.1175/JTECH-D-19-0099.1
MEAP-TT Crear, D.P., B.E. Watkins, M.A.M. Friedrichs, P. St-Laurent, K.C. Weng, 2020: Estimating shifts in phenology and habitat use of cobia in Chesapeake Bay under climate change,
Frontiers in Marine Science, 11, 7:579135
https://doi.org/10.3389/fmars.2020.579135
https://www.frontiersin.org/articles/10.3389/fmars.2020.579135/full
MEAP-TT Crear, D.P., R.J. Latour, M.A.M. Friedrichs, P. St-Laurent, K.C. Weng, , 2020: Climate sensitivity of a shark nursery habitat,
Marine Ecology Progress Series, 652, 123-136
https://doi.org/10.3354.meps13843
https://www.int-res.com/abstracts/meps/v652/p123-136/
IV-TT, Met Office (regional) FOAM system Crocker, R., Maksymczuk, J., Mittermaier, M., Tonani, M., and Pequignet, C, 2020: An approach to the verification of high-resolution ocean models using spatial methods,
Ocean Science, 16, 831–845
https://doi.org/10.5194/os-16-831-2020
https://os.copernicus.org/articles/16/831/2020/
OS-Eval TT Dorfschäfer, G. S., C. A. S. Tanajura, F. B. Costa, R. C. Santana, 2020: A new approach for estimating salinity in the Southwest Atlantic and its application in a data assimilation evaluation experiment
Journal of Geophysical Research: Oceans, 125
https://doi.org/10.1029/2020JC016428
COSS-TT Durski, S. M., Kurapov, A. L., 2020: A high-resolution coupled ice-ocean model of winter circulation on the Bering Sea shelf. Part II: Polynyas and shelf salinity distribution,
Ocean Modelling, 156, 101696
https://doi.org/10.1016/j.ocemod.2020.101696
https://www.sciencedirect.com/science/article/pii/S1463500320301980?via%3Dihub
COSS-TT Fearon, G., Herbette, S., Veitch, J.,Cambon, G., Lucas, A. J., Lemarié, F., &Vichi, M., 2020: Enhanced vertical mixing in coastal upwelling systems driven by diurnal‐inertial resonance: Numerical experiments.
Journal of Geophysical Research: Oceans, 125 (9)
https://doi.org/10.1029/2020JC016208
COSS-TT Federico, I., Pinardi, N., Lyubartsev, V.,Maicu, F., Causio, S., Trotta, F., et al., 2020: Observational evidence of the basin‐wide gyre reversal in the Gulf of Taranto.
Geophysical Research Letters, , 47, e2020GL091030
https://doi.org/10.1029/2020GL091030
MEAP-TT, DA-TT Ford, D. A., 2020: Assessing the role and consistency of satellite observation products in global physical-biogeochemical ocean reanalysis,
Ocean Science, 16, 875-893
https://doi.org/10.5194/os-16-875-2020
https://os.copernicus.org/articles/16/875/2020/
OS-Eval TT Gasparin, F., Hamon, M., Rémy, E., & Le Traon, P. Y., 2020: How deep Argo will improve the deep ocean in an ocean reanalysis
Journal of Climate, vol. 33, no 1, p 77-94
https://doi.org/10.1175/JCLI-D-19-0208.1
SST Good S, Fiedler E, Mao C, Martin MJ, Maycock A, Reid R, Roberts-Jones J, Searle T, Waters J, While J, Worsfold M, 2020: The Current Configuration of the OSTIA System for Operational Production of Foundation Sea Surface Temperature and Ice Concentration Analyses,
Remote Sensing, 12 (4), 720
https://doi.org/10.3390/rs12040720
COSS-TT Haid, V., E. V. Stanev, J. Pein, J. Staneva and W. Chen, 2020: Secondary circulation in shallow ocean straits: Observations and numerical modeling of the Danish Straits
Ocean Modelling, 148,
https://doi.org/10.1016/j.ocemod.2020.101585
OS-Eval TT Halliwell, Jr., G. R., G. J. Goni, M. Mehari, V. H. Kourafalou, M. Baringer, and R. Atlas, 2020: OSSE Assessment of Underwater Glider Arrays to Improve Ocean Model Initialization for Tropical Cyclone Prediction,
J. Atmos. Oceanic Technol., 37(3), pp.467-487
https://doi.org/10.1175/JTECH-D-18-0195.1
https://journals.ametsoc.org/view/journals/atot/37/3/JTECH-D-18-0195.1.xml
COSS-TT Horwitz, R. M., S. Taylor, Y. Lu, J.-P. Paquin, D. Schillinger, and D. Greenberg, 2020: Rapid reduction of tidal amplitude due to form drag in a narrow channel
Continental Shelf Research,
https://www.sciencegate.app/document/10.1016/j.csr.2020.104299
DA-TT, ROMS Levin, J., H. Arango, B. Laughlin, E. Hunter, J. Wilkin, A. Moore, 2020: Observation impacts on the Mid-Atlantic Bight front and cross-shelf transport in 4D-Var ocean state estimates: Part I—Multiplatform analysis,
Ocean Modelling, Vol 156, online publication
https://doi.org/10.1016/j.ocemod.2020.101721
COSS-TT Li, R., Y. Lu, X. Hu, D. Guo, P. Zhao, N. Wang, K. Lee and B. Zhang, 2020: Space-time variations of sea-ice in Bohai Sea in the winter of 2009-2010 simulated with a coupled ocean and ice model
Journal of Oceanography,
https://link.springer.com/article/10.1007/s10872-020-00566-2
COSS-TT Liubartseva, S., Smaoui, M., Coppini, G., (…), Cretì, S., Federico, I. , 2020: Model-based reconstruction of the Ulysse-Virginia oil spill, October–November 2018
Marine Pollution Bulletin, Volume 154
https://doi.org/10.1016/j.marpolbul.2020.111002
OS-Eval TT, Met Office FOAM system Mao, C., R. King, R.A. Reid, M.J. Martin and S. Good, 2020: Assessing the Potential Impact of An Expanded Argo Array in An Operational Ocean Analysis System,
Front. Mar. Sci., Online publication
https://doi.org/10.3389/fmars.2020.588267
OS-Eval TT, Met Office FOAM system and Mercator Ocean system Martin, M. J., E. Remy, B. Tranchant, R. R. King, E. Greiner & C. Donlon, 2020: Observation impact statement on satellite sea surface salinity data from two operational global ocean forecasting systems,
Journal of Operational Oceanography, Online publication
https://doi.org/10.1080/1755876X.2020.1771815
COSS-TT Meyerjürgens, J., Ricker, M., Schakau, V., Badewien, T. H., & Stanev, E. V., 2020: Relative dispersion of surface drifters in the North Sea: The effect of tides on mesoscale diffusivity.
Journal of Geophysical Research: Oceans, 124, e2019JC015925,
https://doi.org/10.1029/2019JC015925
DA-TT, ROMS Moore, A., J. Zavala-Garay, H. Arango, C. Edwards, J. Anderson, T. Hoar, 2020: Regional and basin scale applications of ensemble adjustment Kalman filter and 4D-Var ocean data assimilation systems,
Progress in Oceanography, Vol 189, online publication
https://doi.org/10.1016/j.pocean.2020.102450
COSS-TT Nudds, S., Y. Lu, S. Higginson, S. P. Haigh, J.-P. Paquin, M. O’Flaherty-Sproul, S. Taylor, H. Blanken, G. Marcotte, G. C. Smith, N. Bernier, P. MacAulay, Y. Wu, L. Zhai, X. Hu, J. Chanut, M. Dunphy, F. Dupont, D. Greenberg, F. J. M. Davidson, and F. Page , 2020: Evaluation of structured and unstructured models for application in operational ocean forecasting in nearshore waters
Journal of Marine Science and Engineering,
https://www.mdpi.com/2077-1312/8/7/484
COSS-TT O’Dea E, M J. Bell, A Coward, J Holt,, 2020: Implementation and assessment of a flux limiter based wetting and drying scheme in NEMO
Ocean Modelling, 155
https://doi.org/10.1016/j.ocemod.2020.101708
COSS-TT Osadchiev, A. A., D. I. Frey, S. A. Shchuka, N. D. Tilinina, E. G. Morozov, P.O.Zavialov, 2020: Structure of the Freshened Surface Layer in the Kara Sea During Ice-Free Periods,
Journal of Geophysical Research : Oceans, 126, online publication
https://doi.org/10.1029/2020JC016486
COSS-TT, DA-TT Pasmans, I., Kurapov, A. L., Barth, J. A., Kosro, P. M., and Shearman, R. K., 2020: Ensemble 4DVAR (En4DVar) data assimilation in a coastal ocean circulation model. Part II: Implementation offshore Oregon–Washington, USA,
Ocean Modelling, 154, 101681
https://doi.org/10.1016/j.ocemod.2020.101681
https://www.sciencedirect.com/science/article/pii/S1463500320301839
COSS-TT, Topical Collection II Pavanathara Augustine Francis, Abraham Kaduvathazham Jithin, Abhisek Chatterjee, Arnab Mukherjee, Doraiswamy Shankar, Puthenveettil Narayanamenon Vinayachandran & Surireddi Satya Venkata Siva Ramakrishna, 2020: Structure and dynamics of undercurrents in the western boundary current of the Bay of Bengal, Topical Collection on Coastal Ocean Forecasting Science supported by the GODAE OceanView Coastal Oceans and Shelf Seas Task Team (COSS-TT) – Part II;
Ocean Dynamics, vol 70, pages 387–404 (2020)
https://doi.org/10.1007/s10236-019-01340-9
https://link.springer.com/article/10.1007/s10236-019-01340-9
SST Reid R, Good S, Martin MJ, 2020: Use of Uncertainty Inflation in OSTIA to Account for Correlated Errors in Satellite-Retrieved Sea Surface Temperature Data,
Remote Sensing, 12 (7), 1083
https://doi.org/10.3390/rs12071083
COSS-TT Ricker, M., Stanev, E. V., Badewien, T. H., Freund, H., Meyerjürgens, J., Wolff, J.-O., & Zielinski, O., 2020: Drifter observations and Lagrangian tracking of the 2018 easterly wind event in the North Sea
Journal of Operational Oceanography, 13(sup1), s155–s160.,
https://doi.org/10.1080/1755876X.2020.1785097
COSS-TT Ricker, M., & Stanev, E. V., 2020: Circulation of the European northwest shelf: a Lagrangian perspective.
Ocean Science, 16(3), 637–655,
https://doi.org/10.5194/os-16-637-2020
COSS-TT Rulent, J., Calafat, F.M., Banks, C.J., Bricheno, L.M., Gommenginger, C., Green, J.M., Haigh, I.D., Lewis, H. and Martin, A.C., 2020: Comparing water level estimation in coastal and shelf seas from satellite altimetry and numerical models.
Frontiers in Marine Science,7, p.549467
https://doi.org/10.3389/fmars.2020.549467
COSS-TT Saçu, Ş., Erdik, T., Stanev, E.V, Erdik, J.D., Öztürk, İ., 2020: Hydrodynamics of Canal Istanbul and its impact in the northern Sea of Marmara under extreme conditions
Ocean Dynamics,
https://doi.org/10.1007/s10236-020-01358-4
OS-Eval TT Santana, R., F. B. Costa, D. Mignac, A. N. Santana, V. R. S. Vidal, J. Zhu, C .A. S. Tanajura, 2020: Model sensitivity experiments on data assimilation, downscaling and tides for the representation of the Cape São Tomé Eddies
Ocean Dynamics, 70, 77–94
https://doi.org/10.1007/s10236-019-01307-w
MEAP-TT, Met Office FOAM system Skákala, J., Bruggeman, J., Brewin, R. J. W., Ciavatta, S., and Ford, D. A., 2020: Improved representation of underwater light field and its impact on ecosystem dynamics: a study in the North Sea,
Journal of Geophysical Research: Oceans, 125, e2020JC016122
https://doi.org/10.1029/2020JC016122
https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2020JC016122
COSS-TT, Topical Collection II Stanev, Emil Vassilev & Marcel Ricker, 2020: Interactions between barotropic tides and mesoscale processes in deep ocean and shelf regions, Topical Collection on Coastal Ocean Forecasting Science supported by the GODAE OceanView Coastal Oceans and Shelf Seas Task Team (COSS-TT) – Part II; Ocean Dynamics, vol 70, pages713–728 (2020)
https://doi.org/10.1007/s10236-020-01348-6
https://link.springer.com/article/10.1007/s10236-020-01348-6
DA-TT Storto A., Falchetti S., Oddo P., Jiang Y.-M., Tesei A., 2020: Assessing the Impact of Different Ocean Analysis Schemes On Oceanic and Underwater Acoustic Predictions,
Journal of Geophysical Research: Oceans, 125, e2019JC015636
https://doi.org/10.1029/2019JC015636
OS-Eval TT Tanajura, C. A. S., D. Mignac, A. N. Santana, F. B. Costa, L. N. Lima, K. P. Belyaev, J. Zhu , 2020: Observing system experiments over the Atlantic Ocean with the REMO ocean data assimilation system (RODAS) into HYCOM
Ocean Dynamics, 70, 115–138
http://dx.doi.org/10.1007/s10236-019-01309-8
COSS-TT Thewes D, Stanev EV and Zielinski O, 2020: Sensitivity of a 3D Shelf Sea Ecosystem Model to Parameterizations of the Underwater Light Field
Front. Mar. Sci. 6:816.,
https://doi.org/10.3389/fmars.2019.00816
COSS-TT Tianran Liu, Naoki Hirose, Hiroshi Yamada, Yasuyuki Ikegami, 2020: Estimation of ocean thermal energy potential in the Aguni Basin,
Applied Ocean Research, 101, 102185
https://doi.org/10.1016/j.apor.2020.102185
https://www.sciencedirect.com/science/article/pii/S014111871930985X
COSS-TT, DA-TT, JMA System Usui, N., K. Ogawa, K. Sakamoto, H. Tsujino, G. Yamanaka, T. Kuragano, and M. Kamachi, 2020: Unusually high sea level at the south coast of Japan in September 2011 induced by the Kuroshio,
Journal of Oceanography, 77, 447-461
https://doi.org/10.1007/s10872-020-00575-1
https://link.springer.com/article/10.1007%2Fs10872-020-00575-1
MEAP-TT Wang, B., Fennel, K., Yu, L., and Gordon, C., 2020: Assessing the value of biogeochemical Argo profiles versus ocean color observations for biogeochemical model optimization in the Gulf of Mexico
Biogeosciences
https://bg.copernicus.org/articles/17/4059/2020/bg-17-4059-2020.pdf
COSS-TT Wang, Y., J. Sheng, and Y. Lu, 2020: Examining tidal impact on seasonal circulation variability over the eastern Canadian shelf using a coupled circulation-ice regional model
Progress in Oceanography ,
https://www.sciencedirect.com/journal/progress-in-oceanography/vol/189/suppl/C
OS-Eval TT Xie J, M De Vos, L Bertino, J Zhu, F Counillon, 2020: Impact of assimilating altimeter data on eddy characteristics in the South China Sea
Ocean Modeling, 155, 101704
https://doi.org/10.1016/j.ocemod.2020.101704
IV-TT Yeon S. Changa, Jae-Youll Jina, Jin Yong Choia, Weon Mu Jeonga, Sang Kwon Hyunb, Chang Soo Chunga, Jong Dae Doa, 2020: Three dimensional numerical modeling using a multi-level nesting system for identifying a Water layer suitable for scallop farming in Tongyeong, Korea,
Aquacultural Engineering, 89, 102058
https://doi.org/10.1016/j.aquaeng.2020.102058
https://www.sciencedirect.com/science/article/pii/S0144860918301821?via%3Dihub
MEAP-TT Zhang, H., Fennel, K., Laurent, A., and Bian, C., 2020: A numerical model study of the main factors contributing to hypoxia and its interannual and short-term variability in the East China Sea
Biogeosciences
https://bg.copernicus.org/articles/17/5745/2020/bg-17-5745-2020.pdf
COSS-TT Zhang, Z., Stanev, E. V., & Grayek, S., 2020: Reconstruction of the basin-wide sea-level variability in the North Sea using coastal data and generative adversarial networks.
Geophysical Research: Oceans, 125, e2020JC016402.
https://doi.org/10.1029/2020JC016402
2019                                                                                                                                                                                      Top
COSS-TT, Topical Collection Aguiar, Eva, Baptiste Mourre, Mélanie Juza, Emma Reyes, Jaime Hernández-Lasheras, Eugenio Cutolo, Evan Mason & Joaquín Tintoré, 2019: Multi-platform model assessment in the Western Mediterranean Sea: impact of downscaling on the surface circulation and mesoscale activity, Topical Collection on Coastal Ocean Forecasting Science supported by the GODAE OceanView Coastal Oceans and Shelf Seas Task Team (COSS-TT) – Part II;
Ocean Dynamics, vol 70, pages 273–288 (2020)
https://doi.org/10.1007/s10236-019-01317-8
https://link.springer.com/article/10.1007/s10236-019-01317-8
MEAP-TT Chakraborty, K., Kumar, N., Girishkumar, M. S., Gupta, G. V. M., Ghosh, J., Udaya Bhaskar, T. V. S., & Thangaprakash, V. P., 2019: Assessment of the impact of spatial resolution on ROMS simulated upper-ocean biogeochemistry of the Arabian Sea from an operational perspective
Journal of Operational Oceanography
https://doi.org/10.1080/1755876X.2019.1588697
MEAP-TT Chakraborty, K., Maity, S., Lotliker, A. A., Samanta, A., Ghosh, J., Masuluri, N. K., … & Bright, R. P., 2019: Modelling of marine ecosystem in regional scale for short term prediction of satellite-aided operational fishery advisories
Journal of Operational Oceanography
https://doi.org/10.1080/1755876X.2019.1574951
COSS-TT, Topical Collection De Freitas, Pedro Paulo, Felipe de Luca Lopes Amorim, Guilherme Nogueira Mill, Vladimir Santos da Costa, Mariela Gabioux, Mauro Cirano & Afonso de Moraes Paiva, 2019: Observations of near-inertial oscillations along the Brazilian continental shelf break, Topical Collection on Coastal Ocean Forecasting Science supported by the GODAE OceanView Coastal Oceans and Shelf Seas Task Team (COSS-TT) – Part II;
Ocean Dynamics, vol 69, pages 1203–1215 (2019)
https://doi.org/10.1007/s10236-019-01296-w
https://link.springer.com/article/10.1007/s10236-019-01296-w
MEAP-TT, OceanObs19 Fennel, K., M. Gehlen, P. Brasseur, C.W. Brown, S. Ciavatta, G. Cossarini, A.M. Crise, C. Edwards, D. Ford, M.A.M. Friedrichs, M. Gregoire, E. Jones, H.-C. Kim, J. Lamouroux, R. Murtugudde and C. Perruche, 2019: Advancing marine biogeochemical and ecosystem reanalyses and forecasts as tools for monitoring and managing ecosystem health,
Frontiers in Marine Science, 6:89
https://doi:10.3389/fmars.2019.00089
http://memg.ocean.dal.ca/memg/pubs/Fennel_et_al_FMARS_2019.pdf
OS-Eval TT, OceanObs19 Fujii, Y., E. Rémy, H. Zuo, P. Oke, G. Halliwell, F. Gasparin, M. Benkiran, N. Loose, J. Cummings, J. Xie, Y. Xue, S. Masuda, G. C. Smith, M. Balmaseda, C. Germineaud, D. J. Lea, G. Larnicol, L. Bertino, A. Bonaduce, P. Brasseur, C. Donlon, P. Heimbach, Y. Kim, V. Kourafalou, P.-Y. Le Traon, M. Martin, S. Paturi, B. Tranchant, and N. Usui, 2019: Observing System Evaluation Based on Ocean Data Assimilation and Prediction Systems: On-Going Challenges and a Future Vision for Designing and Supporting Ocean Observational Networks,
Frontiers in Marine Science, 6, 417.
https://doi.org/10.3389/fmars.2019.00417
https://www.frontiersin.org/articles/10.3389/fmars.2019.00417/full
OS-Eval TT Gasparin, F., Guinehut, S., Mao, C., Mirouze, I., Rémy, E., King, R. R., & Masina, S., 2019: Requirements for an integrated in situ Atlantic Ocean observing system from coordinated observing system simulation experiments
Frontiers in Marine Science, 6, 83
https://doi.org/10.3389/fmars.2019.00417
COSS-TT, Topical Collection Goodliff, Michael , Bruening, Fabian Schwichtenberg, Xin Li, Anja Lindenthal, Ina Lorkowski & Lars Nerger, 2019: Temperature assimilation into a coastal ocean-biogeochemical model: assessment of weakly and strongly coupled data assimilation, Topical Collection on Coastal Ocean Forecasting Science supported by the GODAE OceanView Coastal Oceans and Shelf Seas Task Team (COSS-TT) – Part II;
Ocean Dynamics, vol 69, pages1217–1237 (2019)
https://doi.org/10.1007/s10236-019-01299-7
https://link.springer.com/article/10.1007/s10236-019-01299-7
OS-Eval TT Hamon, M., Greiner, E., Le Traon, P.Y., Remy, E.,, 2019: Impact of multiple altimeter data and mean dynamic topography in a global analysis and forecasting system
J. Atmos. Ocean. Technol.,
http://dx.doi.org/10.1175/JTECH-D-18- 0236.1
COSS-TT, Topical Collection Hirose, Nariaki , Norihisa Usui, Kei Sakamoto, Hiroyuki Tsujino, Goro Yamanaka, Hideyuki Nakano, Shogo Urakawa, Takahiro Toyoda, Yosuke Fujii & Nadao Kohno, 2019: Development of a new operational system for monitoring and forecasting coastal and open-ocean states around Japan, Topical Collection on Coastal Ocean Forecasting Science supported by the GODAE OceanView Coastal Oceans and Shelf Seas Task Team (COSS-TT) – Part II;
Ocean Dynamics, vol 69, pages 1333–1357 (2019)
https://doi.org/10.1007/s10236-019-01306-x
https://link.springer.com/article/10.1007/s10236-019-01306-x
COSS-TT Hole, L. R., Dagestad, K. F., Röhrs, J., Wettre, C., Kourafalou, V. H.,
Androulidakis, Y., Kang, H., Le Henaff, M. and Garcia-Pineda, O., 2019: The DeepWater Horizon oil slick: simulations of river front effects and oil droplet size distribution.
Journal of marine science and engineering, 7(10), p.329
https://doi.org/10.3390/jmse7100329
COSS-TT, Topical Collection Marta-Almeida, Martinho, Guilherme C. Lessa, Alessandro L. Aguiar, Fabiola N. Amorim & Mauro Cirano, 2019: Realistic modelling of shelf-estuary regions, Topical Collection on Coastal Ocean Forecasting Science supported by the GODAE OceanView Coastal Oceans and Shelf Seas Task Team (COSS-TT) – Part II;
Ocean Dynamics, vol 69, pages 1311–1331 (2019)
https://doi.org/10.1007/s10236-019-01304-z
https://link.springer.com/article/10.1007/s10236-019-01304-z
COSS-TT, Topical Collection Paquin, Jean-Philippe,  Youyu Lu, Stephanne Taylor, Hauke Blanken, Guillaume Marcotte, Xianmin Hu, Li Zhai, Simon Higginson, Shannon Nudds, Jérôme Chanut, Gregory C. Smith, Natacha Bernier & Frédéric Dupont, 2019: High-resolution modelling of a coastal harbour in the presence of strong tides and significant river runoff, Topical Collection on Coastal Ocean Forecasting Science supported by the GODAE OceanView Coastal Oceans and Shelf Seas Task Team (COSS-TT) – Part II;
Ocean Dynamics, vol 70, pages 365–385 (2020)
https://doi.org/10.1007/s10236-019-01334-7
https://link.springer.com/article/10.1007/s10236-019-01334-7
COSS-TT, Topical Collection Sakamoto, Kei, Hiroyuki Tsujino, Hideyuki Nakano, Shogo Urakawa, Takahiro Toyoda, Nariaki Hirose, Norihisa Usui & Goro Yamanaka, 2019: Development of a 2-km resolution ocean model covering the coastal seas around Japan for operational application, Topical Collection on Coastal Ocean Forecasting Science supported by the GODAE OceanView Coastal Oceans and Shelf Seas Task Team (COSS-TT) – Part II;
Ocean Dynamics, vol 69, pages 1181–1202 (2019)
https://doi.org/10.1007/s10236-019-01291-1
https://link.springer.com/article/10.1007/s10236-019-01291-1
2018                                                                                                                                                                                      Top
MEAP-TT Chakraborty, K., Valsala, V., Gupta, G. V. M., & Sarma, V. V. S. S., 2018: Dominant biological control over upwelling on pCO2 in sea east of Sri Lanka
Journal of Geophysical Research: Biogeosciences
https://doi.org/10.1029/2018JG004446
Accepted                                                                                                                                                                                      Top
N/A

 

 

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