Skip to content
DraconiticResearch
Search Sources API
203,234 studies31 sourcesUpdated 2 min ago
PreprintCC BY 4.0EGUsphere

LFS-SEnDA: a global ocean forecast system with an efficient Sliding-Ensemble-based Data Assimilation scheme

Related

  1. Ensemble Forecast Updates without Model Re-integration Based on Ultra-rapid Data Assimilation: Idealized Experiments with a Heavy Rainfall Case
    Fumitoshi Kawasaki, Kenta Kurosawa, Atsushi Okazaki +1
    arXivPreprintarXiv licenceFull textAtmospheric science & meteorologyGeophysics & seismologyarXiv
  2. Subseasonal forecast improvements from sea ice concentration data assimilation in the Antarctic
    Yong-Fei Zhang, Mitchell Bushuk, Michael Winton +4
    The CryospherePeer-reviewedCC BY 4.0Full textAtmospheric science & meteorologyCrossref
  3. Latent Autoencoder Ensemble Kalman Filter for Nonlinear Data Assimilation
    Xin T. Tong, Yanyan Wang, Liang Yan
    SIAM Journal on Scientific ComputingPeer-reviewedLicence not statedFull text6 citedAtmospheric science & meteorologyOpenAlex
  4. IEnSF: Iterative ensemble score filter for reducing error in posterior score estimation in nonlinear data assimilation
    Zezhong Zhang, Feng Bao, Guannan Zhang
    Journal of Computational PhysicsPeer-reviewedLicence not statedFull text14 citedAtmospheric science & meteorologyOpenAlex
  5. Uncertainty analysis of a machine learning-aided ensemble forecast for coastal flood maps
    Jeremy Rohmer, Sophie Lecacheux, Déborah Idier +5
    Stochastic Environmental Research and Risk AssessmentPeer-reviewedPublic domainFull text1 citedClimate scienceHAL
BibTeX
@misc{zhou2026lfssenda,
  title = {{LFS-SEnDA: a global ocean forecast system with an efficient Sliding-Ensemble-based Data Assimilation scheme}},
  author = {Yanzhi Zhou and Zipeng Yu and Tao Zhang and Jiangfeng Yu and Maoxue Yu and Kai Xu and Weipeng Zheng and Hailong Liu and Pengfei Lin},
  howpublished = {EGUsphere},
  year = {2026},
  month = oct,
  doi = {10.5194/egusphere-2026-4602},
  url = {https://doi.org/10.5194/egusphere-2026-4602},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - LFS-SEnDA: a global ocean forecast system with an efficient Sliding-Ensemble-based Data Assimilation scheme
AU  - Yanzhi Zhou
AU  - Zipeng Yu
AU  - Tao Zhang
AU  - Jiangfeng Yu
AU  - Maoxue Yu
AU  - Kai Xu
AU  - Weipeng Zheng
AU  - Hailong Liu
AU  - Pengfei Lin
PY  - 2026
DA  - 2026/10/30
PB  - EGUsphere
DO  - 10.5194/egusphere-2026-4602
UR  - https://doi.org/10.5194/egusphere-2026-4602
ER  -