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Ru Wang, Qingyu Zheng, Wei Li, Guijun Han, Xuan Wang and Song Hu
The uncertainty in the initial condition seriously affects the forecasting skill of numerical models. Targeted observations play an important role in reducing uncertainty in numerical prediction. The conditional nonlinear optimal perturbation (CNOP) meth...
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Changsheng Chen and Qichun Xu
An adjoint data assimilation method was incorporated into the ECOM-si coastal ocean circulation model and applied to assimilate the flow field on the southern flank of Georges Bank from March to June 1999. The model was driven by tidal forcing consisting...
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Zexun Wei, Haidong Pan, Tengfei Xu, Yonggang Wang and Jian Wang
As a ubiquitous movement in the ocean, tides are vital for marine life and numerous marine activities such as fishing and ocean engineering. Tidal dynamics are complicated in the East Asian marginal seas (EAMS) due to changing complex topography and coas...
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Qixiang Wang, Yibo Zhang, Yonggang Wang, Minjie Xu and Xianqing Lv
High-precision tidal harmonic constants are necessary for studies involving tides. This study proposes a new method combined with the adjoint assimilation model and the Chebyshev polynomial fitting (CPF) method to obtain the tidal harmonic constants in t...
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Xinping Wu, Minjie Xu, Guandong Gao, Baoshu Yin and Xianqing Lv
In this study, a triangular polynomial interpolation (TPI) scheme was developed to estimate the vertical eddy viscosity coefficient (VEVC) on the basis of the Ekman model with adjoint assimilation. In the twin experiments, the advantages and disadvantage...
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Shengyi Jiao, Shengmao Huang, Jianfeng Wang and Xianqing Lv
The setting of initial values is one of the key problems in ocean numerical prediction, with the accuracy of sea water temperature (SWT) simulation and prediction greatly affected by the initial field quality. In this paper, we describe the development o...
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Valery Agoshkov, Natalia Lezina and Tatiana Sheloput
One of the modern fields in mathematical modelling of water areas is developing hybrid coastal ocean models based on domain decomposition. In coastal ocean modelling a problem to be solved is setting open boundary conditions. One of the methods dealing w...
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Mingyang Zhang, Lifeng Zhang and Bin Zhang
A four-dimensional ensemble variational assimilation system for FY-3A satellite data is constructed using the Proper Orthogonal Decomposition (POD)-based ensemble four-dimensional variational (4DVar) assimilation method (referred to as POD-4DEnVar Satell...
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Sergei Soldatenko, Chris Tingwell, Peter Steinle and Boris A. Kelly-Gerreyn
The impact of the Australian Bureau of Meteorology?s in situ observations (land and sea surface observations, upper air observations by radiosondes, pilot balloons, wind profilers, and aircraft observations) on the short-term forecast skill provided by t...
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Xingxia Kou, Zhekun Huang, Hongnian Liu, Meigen Zhang, Si Shen and Zhen Peng
The four-dimensional variational data assimilation (4DVar) method is one of the most popular techniques used in numerical weather prediction. Nevertheless, the needs of the adjoint model and the linearization of the forecast model largely limit the wider...
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