47 citations as recorded by crossref.

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3. An Ensemble-Based Machine Learning Model for Estimation of Subsurface Thermal Structure in the South China Sea J. Qi et al. https://doi.org/10.3390/rs14133207
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5. The Assimilation of Jason-2 Significant Wave Height Data in the North Indian Ocean Using the Ensemble Optimal Interpolation P. Qi & L. Cao https://doi.org/10.1109/TGRS.2015.2456035
6. A weakly coupled data assimilation system of a coupled physical–biological model for the northeastern South China Sea X. LI & J. ZHU https://doi.org/10.1080/16742834.2016.1201788
7. An OSSE evaluation of the GNSS-R altimetry data for the GEROS-ISS mission as a complement to the existing observational networks J. Xie et al. https://doi.org/10.1016/j.rse.2018.02.053
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9. Evaluation of an Ocean Reanalysis System in the Indian and Pacific Oceans C. Yan & J. Zhu https://doi.org/10.3390/atmos14020220
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11. Analysis of the northern South China Sea counter-wind current in winter using a data assimilation model J. Xie et al. https://doi.org/10.1007/s10236-015-0817-y
12. Quality assessment of the TOPAZ4 reanalysis in the Arctic over the period 1991–2013 J. Xie et al. https://doi.org/10.5194/os-13-123-2017
13. A Reasonable Mean Dynamic Topography State on Improving the Ability of Assimilating the Altimetry Observations into a Coupled Climate System Model: An Example With CAS‐ESM‐C X. Dong et al. https://doi.org/10.1029/2020JC016760
14. Assessment of static ensembles on a global ocean assimilation system using EAKF L. Liu & X. Chen https://doi.org/10.1007/s10236-024-01620-z
15. A cost-effective data assimilation system for improving ROMS simulations in the Southwest Atlantic G. Dorfschäfer et al. https://doi.org/10.1371/journal.pone.0358351
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17. Assimilation of satellite surface-height anomalies data into a Hybrid Coordinate Ocean Model (HYCOM) over the Atlantic Ocean C. Tanajura et al. https://doi.org/10.1134/S0001437015050161
18. Assimilation of sea-level anomalies and Argo data into HYCOM and its impact on the 24 hour forecasts in the western tropical and South Atlantic F. Costa & C. Tanajura https://doi.org/10.1080/1755876X.2015.1014646
19. Sensitivity of Data Assimilation Configuration in WAVEWATCH III applying Ensemble Optimal Interpolation H. Lim et al. https://doi.org/10.5467/JKESS.2024.45.4.349
20. Modeling, Control and Experiments of a Novel Underwater Vehicle with Dual Operating Modes for Oceanographic Observation J. Cao et al. https://doi.org/10.3390/jmse10070921
21. Three-dimensional regional oceanic element field reconstruction with multiple underwater gliders in the Northern South China Sea R. Zhang et al. https://doi.org/10.1016/j.apor.2020.102405
22. On the impact of vertical coordinate choice for innovation when assimilating hydrographic profiles into isopycnal ocean models F. Costa & C. Tanajura https://doi.org/10.1016/j.ocemod.2021.101917
23. Could the two anticyclonic eddies during winter 2003/2004 be reproduced and predicted in the northern South China Sea? D. Xu et al. https://doi.org/10.5194/os-15-97-2019
24. Quantifying the Impact of Wind‐Current Feedback on Mesoscale Variability in Forced Simulation Experiments of the Agulhas Current Using an Eddy‐Tracking Algorithm L. Braby et al. https://doi.org/10.1029/2019JC015365
25. Assimilation of Middepth Velocities from Argo Floats in the Western South China Sea P. Wang et al. https://doi.org/10.1175/JTECH-D-18-0233.1
26. The roles of different mechanisms related to the tide-induced fronts in the Yellow Sea in summer S. Ren et al. https://doi.org/10.1007/s00376-014-3236-y
27. Subsurface Temperature and Salinity Structures Inversion Using a Stacking-Based Fusion Model from Satellite Observations in the South China Sea C. Luo et al. https://doi.org/10.1007/s00376-024-3312-x
28. Model sensitivity experiments on data assimilation, downscaling and tides for the representation of the Cape São Tomé Eddies R. Santana et al. https://doi.org/10.1007/s10236-019-01307-w
29. Assimilating operational SST and sea ice analysis data into an operational circulation model for the coastal seas of China Q. Ji et al. https://doi.org/10.1007/s13131-015-0691-y
30. Altimeter significant wave height data assimilation in the South China Sea using Ensemble Optimal Interpolation L. Cao et al. https://doi.org/10.1007/s00343-014-4252-6
31. Impact of Assimilation of Moored Velocity Data on Low‐Frequency Current Estimation in Northwestern Tropical Pacific D. Liu et al. https://doi.org/10.1029/2019JC015829
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33. Impact of assimilating altimeter data on eddy characteristics in the South China Sea J. Xie et al. https://doi.org/10.1016/j.ocemod.2020.101704
34. Effect of western Pacific current uncertainties on the forecasting of eddy shedding from the Kuroshio loop into the South China Sea: A case study D. Liu et al. https://doi.org/10.1016/j.ocemod.2023.102234
35. The Assimilation of Temperature and Salinity Profile Observations for Forecasting the River–Estuary–Shelf Waters Y. Liu et al. https://doi.org/10.1029/2020JC017043
36. Establishment and tests of EnOI assimilation module for WAVEWATCH III P. Qi & L. Cao https://doi.org/10.1007/s00343-015-4282-8
37. Using an eddy-tracking algorithm to understand the impact of assimilating altimetry data on the eddy characteristics of the Agulhas system M. de Vos et al. https://doi.org/10.1007/s10236-018-1174-4
38. Impact of 4D-Var data assimilation on modelling of the East China Sea dynamics Z. He et al. https://doi.org/10.1016/j.ocemod.2022.102044
39. Reanalyzing temperature and salinity on decadal time scales using the ensemble optimal interpolation data assimilation method and a 3D ocean circulation model of the Baltic Sea Y. Liu et al. https://doi.org/10.1002/jgrc.20384
40. Observing system experiments over the Atlantic Ocean with the REMO ocean data assimilation system (RODAS) into HYCOM C. Tanajura et al. https://doi.org/10.1007/s10236-019-01309-8
41. Analog ensemble data assimilation in a quasigeostrophic coupled model I. Grooms et al. https://doi.org/10.1002/qj.4446
42. The impact of mean dynamic topography on a sea-level anomaly assimilation in the South China Sea based on an eddy-resolving model D. Xu et al. https://doi.org/10.1007/s13131-012-0232-x
43. Spatiotemporal Variation of Anticyclonic Eddies in the South China Sea during 1993–2019 W. Shi & J. Hu https://doi.org/10.3390/rs15194720
44. Argo data assimilation into HYCOM with an EnOI method in the Atlantic Ocean D. Mignac et al. https://doi.org/10.5194/os-11-195-2015
45. Ensemble data assimilation in the Red Sea: sensitivity to ensemble selection and atmospheric forcing H. Toye et al. https://doi.org/10.1007/s10236-017-1064-1
46. Assimilating the along-track sea level anomaly into the regional ocean modeling system using the ensemble optimal interpolation G. Lyu et al. https://doi.org/10.1007/s13131-014-0469-7
47. Impacts of mean dynamic topography on a regional ocean assimilation system C. Yan et al. https://doi.org/10.5194/os-11-829-2015