Bias correction of sea surface temperature retrospective forecasts in the South China Sea-Reference-Cited by-同舟云学术

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Bias correction of sea surface temperature retrospective forecasts in the South China Sea

Published:2022-02 Issue:2 Volume:41 Page:41-50
ISSN:0253-505X
Container-title:Acta Oceanologica Sinica
language:en
Short-container-title:Acta Oceanol. Sin.

Author:

Han Guijun,Zhou Jianfeng,Shao Qi,Li Wei,Li Chaoliang,Wu Xiaobo,Cao Lige,Wu Haowen,Li Yundong,Zhou Gongfu

Publisher

Springer Science and Business Media LLC

Subject

Aquatic Science,Oceanography

Link

https://link.springer.com/content/pdf/10.1007/s13131-021-1880-5.pdf

Reference41 articles.

1. Abhilash S, Sahai A K, Borah N, et al. 2014. Does bias correction in the forecasted SST improve the extended range prediction skill of active-break spells of Indian summer monsoon rainfall?. Atmospheric Science Letters, 15(2): 114–119, doi: https://doi.org/10.1002/asl2.477

2. Ashfaq M, Skinner C B, Diffenbaugh N S. 2011. Influence of SST biases on future climate change projections. Climate Dynamics, 36(7–8): 1303–1319, doi: https://doi.org/10.1007/s00382-010-0875-2

3. Balmaseda M A, Mogensen K, Weaver A T. 2013. Evaluation of the ECMWF ocean reanalysis system ORAS4. Quarterly Journal of the Royal Meteorological Society, 139(674): 1132–1161, doi: https://doi.org/10.1002/qj.2063

4. Bhargava K, Kalnay E, Carton J A, et al. 2018. Estimation of systematic errors in the GFS using analysis increments. Journal of Geophysical Research: Atmospheres, 123(3): 1626–1637, doi: https://doi.org/10.1002/2017JD027423

5. Boutilier C, Patrascu R, Poupart P, et al. 2006. Constraint-based optimization and utility elicitation using the minimax decision criterion. Artificial Intelligence, 170(8–9): 686–713, doi: https://doi.org/10.1016/j.artint.2006.02.003

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