Articles | Volume 17, issue 1
Nat. Hazards Earth Syst. Sci., 17, 17–30, 2017
https://doi.org/10.5194/nhess-17-17-2017

Special issue: Situational sea awareness technologies for maritime safety...

Nat. Hazards Earth Syst. Sci., 17, 17–30, 2017
https://doi.org/10.5194/nhess-17-17-2017

Research article 05 Jan 2017

Research article | 05 Jan 2017

Data assimilation of Argo profiles in a northwestern Pacific model

Zhaoyi Wang et al.

Related authors

BFM17 v1.0: a reduced biogeochemical flux model for upper-ocean biophysical simulations
Katherine M. Smith, Skyler Kern, Peter E. Hamlington, Marco Zavatarelli, Nadia Pinardi, Emily F. Klee, and Kyle E. Niemeyer
Geosci. Model Dev., 14, 2419–2442, https://doi.org/10.5194/gmd-14-2419-2021,https://doi.org/10.5194/gmd-14-2419-2021, 2021
Short summary
Implementing a finite-volume coupled physical-biogeochemical model to the coastal East China Sea
Jingui Liu, Shanglu Li, Xuanliang Ji, Guimei Liu, Qingqing Pan, and Yun Li
Ocean Sci. Discuss., https://doi.org/10.5194/os-2020-47,https://doi.org/10.5194/os-2020-47, 2020
Revised manuscript not accepted
Short summary
Using canonical correlation analysis to produce dynamically based and highly efficient statistical observation operators
Eric Jansen, Sam Pimentel, Wang-Hung Tse, Dimitra Denaxa, Gerasimos Korres, Isabelle Mirouze, and Andrea Storto
Ocean Sci., 15, 1023–1032, https://doi.org/10.5194/os-15-1023-2019,https://doi.org/10.5194/os-15-1023-2019, 2019
Short summary
Assimilation of SST data in the POSEIDON system using the SOSSTA statistical-dynamical observation operator
Gerasimos Korres, Dimitra Denaxa, Eric Jansen, Isabelle Mirouze, Sam Pimentel, Wang-Hung Tse, and Andrea Storto
Ocean Sci. Discuss., https://doi.org/10.5194/os-2018-158,https://doi.org/10.5194/os-2018-158, 2019
Preprint withdrawn
Short summary
Circulation of the Turkish Straits System under interannual atmospheric forcing
Ali Aydoğdu, Nadia Pinardi, Emin Özsoy, Gokhan Danabasoglu, Özgür Gürses, and Alicia Karspeck
Ocean Sci., 14, 999–1019, https://doi.org/10.5194/os-14-999-2018,https://doi.org/10.5194/os-14-999-2018, 2018
Short summary

Related subject area

Sea, Ocean and Coastal Hazards
Non-stationary analysis of water level extremes in Latvian waters, Baltic Sea, during 1961–2018
Nadezhda Kudryavtseva, Tarmo Soomere, and Rain Männikus
Nat. Hazards Earth Syst. Sci., 21, 1279–1296, https://doi.org/10.5194/nhess-21-1279-2021,https://doi.org/10.5194/nhess-21-1279-2021, 2021
Short summary
An efficient two-layer landslide-tsunami numerical model: effects of momentum transfer validated with physical experiments of waves generated by granular landslides
Martin Franz, Michel Jaboyedoff, Ryan P. Mulligan, Yury Podladchikov, and W. Andy Take
Nat. Hazards Earth Syst. Sci., 21, 1229–1245, https://doi.org/10.5194/nhess-21-1229-2021,https://doi.org/10.5194/nhess-21-1229-2021, 2021
Short summary
Oceanic response to the consecutive Hurricanes Dorian and Humberto (2019) in the Sargasso Sea
Dailé Avila-Alonso, Jan M. Baetens, Rolando Cardenas, and Bernard De Baets
Nat. Hazards Earth Syst. Sci., 21, 837–859, https://doi.org/10.5194/nhess-21-837-2021,https://doi.org/10.5194/nhess-21-837-2021, 2021
Short summary
Multilayer-HySEA model validation for landslide-generated tsunamis – Part 1: Rigid slides
Jorge Macías, Cipriano Escalante, and Manuel J. Castro
Nat. Hazards Earth Syst. Sci., 21, 775–789, https://doi.org/10.5194/nhess-21-775-2021,https://doi.org/10.5194/nhess-21-775-2021, 2021
Short summary
Multilayer-HySEA model validation for landslide-generated tsunamis – Part 2: Granular slides
Jorge Macías, Cipriano Escalante, and Manuel J. Castro
Nat. Hazards Earth Syst. Sci., 21, 791–805, https://doi.org/10.5194/nhess-21-791-2021,https://doi.org/10.5194/nhess-21-791-2021, 2021
Short summary

Cited articles

Barker, D., Huang, W., Guo, Y., Bourgeois, A., and Xiao, Q.: A Three-Dimensional Variational Data Assimilation System for MM5: Implementation and Initial Results, Mon. Weather Rev., 132, 897–914, 2004.
Byrd, R. H., Lu, P., Nocedal, J., and Zhu, C.: A limited memory algorithm for bound constrained optimization, SIAM J. Sci. Comput., 16, 1190–1208, 1995.
Cabanes, C., Grouazel, A., von Schuckmann, K., Hamon, M., Turpin, V., Coatanoan, C., Paris, F., Guinehut, S., Boone, C., Ferry, N., de Boyer Montégut, C., Carval, T., Reverdin, G., Pouliquen, S., and Le Traon, P.-Y.: The CORA dataset: validation and diagnostics of in-situ ocean temperature and salinity measurements, Ocean Sci., 9, 1–18, https://doi.org/10.5194/os-9-1-2013, 2013 (data available at: ftp://ftp.ifremer.fr/ifremer/argo/geo/pacific_ocean/).
Carton, J. A. and Giese, B.: A Reanalysis of Ocean Climate Using Simple Ocean Data Assimilation (SODA), Mon. Weather Rev., 136, 2999–3017, https://doi.org/10.1175/2007MWR1978.1, 2008 (data available at: http://dsrs.atmos.umd.edu).
Clark, M. P., Serreze, M. C., and Barry, R. G.: Characteristics of Arctic Ocean Climate based on COADS data, 1980–1993, Geophys. Res. Lett., 23, 1953–1956, 1996.
Download
Altmetrics
Final-revised paper
Preprint