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Akademický článek

Improvement of Arctic Sea Ice Multi-Parameter Assimilation on Sea Ice Concentration Simulation

Autor: ZHANG Sihan, ZHAO Jiechen, ZOU Wenfeng, WU Jie, WANG Yingzheng, CHEN Ziyi, ZHAO Dinglong, MU Fangru

Publikováno v: Haiyang Kaifa yu guanli, Vol 41, Iss 6, Pp 3-14 (2024)

Based on the CICE sea ice model and the PDAF parallel data assimilation framework, this paper uses the local error subspace transform Kalman filter method (LESTKF) to assimilate the sea ice concentration, sea ice thickness and sea ice freeboard data

Externí odkaz: https://doaj.org/article/9e0701271c3d46b690de8e9d5f3fc239

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Akademický článek

Research on model predictive control model in application of shearer height-adjusting system

Autor: ZHANG Sihan, LIU Zhenjian, QIU Jinbo

Publikováno v: Gong-kuang zidonghua, Vol 44, Iss 5, Pp 42-46 (2018)

In view of the problems of lower stability and poor precision existed in present shearer height-adjustment system, which used electromagnetic switch valve to adjust height of drum, a model predictive control model of the shearer height-adjustment sys

Externí odkaz: https://doaj.org/article/9a1a20e034c74dd789db629ebe8694c9

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Reconstructing parton distribution function based on maximum entropy method

Autor: Zhang, Sihan, Wang, Xiaobin, Lin, Tao, Chang, Lei

A new method based on the maximum entropy principle for reconstructing the parton distribution function (PDF) from moments is proposed. Unlike traditional methods, the new method no longer needs to introduce any artificial assumptions. For the case o

Externí odkaz: http://arxiv.org/abs/2309.01417