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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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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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Vladimir Zalesny, Valeriy Agoshkov, Victor Shutyaev, Eugene Parmuzin and Natalia Zakharova
The technology is presented for modeling and prediction of marine hydrophysical fields based on the 4D variational data assimilation technique developed at the Marchuk Institute of Numerical Mathematics, Russian Academy of Sciences (INM RAS). The technol...
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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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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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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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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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Ruixian Fang, Dan Gabriel Cacuci and Madalina Badea
This work uses the adjoint sensitivity model of the counter-flow cooling tower derived in the accompanying PART I to obtain the expressions and relative numerical rankings of the sensitivities, to all model parameters, of the following model responses: (...
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