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Publications

We will be growing a collection of publications relevant to the whole OceanPredict community on this website, updating it on a regular basis (every 3-4 months). The publications will cover research in the field of ocean predictions, areas covered by the OP task teams, and some publications further afield. This collection will be based on contributions we receive from the OP communities and by no means will claim completeness. We hope though, that in the next year we will be able to collect many interesting and relevant publications for the wider ocean community to benefit from.

The table below shows all publications provided from 2019 up to 1 Dec 2021. Please use the “Filter” option (at top of table) to search for any word, name or number you want to find. Applying several filter options narrows the search.

Please note that the filter will search for all of the added words, regardless of their order, so it is not possible to search for a combination of words. Publications are sorted by year and author (alphabetically).

Latest update: 13 April 2022

[Accepted] [2019] [2020] [2021] [2022]

Reference Group Publication (all published)
Accepted papers are marked (A)
2022                                                                                                                                                                                      Top
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
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
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 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
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
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
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 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
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
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
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
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 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
DA-TT Antonio Bonaduce1, 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
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
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 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 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
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 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
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 (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
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
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
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
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 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 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
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
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
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
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
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
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 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
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
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
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, 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
Accepted                                                                                                                                                                                      Top
N/A

 

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