以“四化”路径推动区域科学教育创新发展

党的二十大报告提出,要“深入实施科教兴国战略”,“加快建设教育强国、科技强国、人才强国”。湖北省荆门市掇刀区积极贯彻落实党的二十大精神,切实把党中央关于科教兴国的决策部署转化为真抓实干的实际行动,从顶层设计、课程体系、教学模式、师资队伍等方面出发,积极探索区域中小学科学教育“四化”路径,创新基础教育拔尖人才早期培养模式,形成了中小学科学教育实验区建设“掇刀方案”。

积累数学活动经验的“四化”路径

数学学习过程是经验的累积、激活、改造和创生的过程。在数学新知课教学中,按照"情境—问题—知识—应用—经验"这一路径,可以实现"四化":情境—问题化,问题—知识化,知识—应用化,应用—经验化。这个"四化"路径可用于新知课教学过程中积累数学活动经验。

中国传媒经济“四化”路径与整体文化观

本文依据中国传媒经济的发展史和中国传媒经济理论体系的形成和发展史,科学地概括了中国传媒经济发展的'四化'路径,即服务化、产业化、融合化、传媒文化与经济社会发展一体化的路径;为促进我国传媒经济的健康发展,在深化文化体制改革、推动社会主义文化大发展大繁荣的背景条件下,提出了整体文化和整体传媒文化的概念并进行了概括性分析。

Numerical Simulation of a Landfall Typhoon Using a Bogus Data Assimilation Scheme

A typhoon bogus data assimilation scheme (BDA) using dimension-reduced projection four-dimen-sional variational data assimilation (DRP-4-DVar),called DRP-BDA for short,is built in the Advanced Regional Eta Model (AREM).As an adjoint-free approach,DRP-BDA saves time,and only several minutes are taken for the full BDA process.To evaluate its performance,the DRP-BDA is applied to a case study on a landfall ty-phoon,Fengshen (2008),from the Northwestern Pacific Ocean to Guangdong province,in which the bogus sea level pressure (SLP) is assimilated as a kind of observa-tion.The results show that a more realistic typhoon with correct center position,stronger warm core vortex,and more reasonable wind fields is reproduced in the analyzed initial condition through the new approach.Compared with the control run (CTRL) initialized with NCEP Final (FNL) Global Tropospheric Analyses,the DRP-BDA leads to an evidently positive impact on typhoon track forecasting and a small positive impact on typhoon inten-sity forecasting.Furthermore,the forecast landfall time conforms to the observed landfall time,and the forecast track error at the 36th hour is 32 km,which is much less than that of the CTRL (450 km).

The four dimensional variational data assimilation with multiple regularization parameters as a weak constraint(Tikh-4D-Var) and its preliminary application on typhoon initialization

Traditional variational data assimilation （VDA） with only one regularization parameter constraint cannot produce optimal error tuning for all observations. In this paper, a new data assimilation method of ＂four dimensional variational data assimilation （4D-Var） with multiple regularization parameters as a weak constraint （Tikh-4D-Var）＂ is proposed by imposing different reg- ularization parameters for different observations. Meanwhile, a new multiple regularization parameters selection method, which is suitable for actual high-dimensional data assimilation system, is proposed based on the posterior information of 4D-Var system. Compared with the traditional single regularization parameter selection method, computation of the proposed multiple regularization parameters selection method is smaller. Based on WRF3.3.1 4D-Vat data assimilation system, initiali- zation and simulation of typhoon Chaba （2010） with the new Tikh-4D-Var method are compared with its counterpart 4D-Var to demonstrate the effectiveness of the new method. Results show that the new Tikh-4D-Var method can accelerate the con vergence with less iterations. Moreover, compared with 4D-Var method, the typhoon track, intensity （including center surface pressure and maximum wind speed） and structure prediction are obviously improved with Tikh-4D-Var method for 72-h pre- diction. In addition, the accuracy of the observation error variances can be reflected by the multiple regularization parameters.