利用新一代数值预报模式ARW(Advance Research WRF),模拟试验了在不同垂直分辨率条件下模式对"罗莎"台风的预报性能。试验结果表明,数值模式的垂直分辨率变化对台风路径预报效果的影响不大,但对台风强度和结构的预报效果有明...利用新一代数值预报模式ARW(Advance Research WRF),模拟试验了在不同垂直分辨率条件下模式对"罗莎"台风的预报性能。试验结果表明,数值模式的垂直分辨率变化对台风路径预报效果的影响不大,但对台风强度和结构的预报效果有明显影响。但是,对于一定的水平分辨率而言,有一个与之匹配的垂直分辨率,垂直分辨率低于或者高于这个相匹配的阈值,模式的预报性能都会下降。展开更多
An improved technique for order preference by similarity to ideal solution (TOPSIS) algorithm, SAE-TOPSIS, is proposed for the vertical handoff decision in heterogeneous wireless networks. The signal to interference...An improved technique for order preference by similarity to ideal solution (TOPSIS) algorithm, SAE-TOPSIS, is proposed for the vertical handoff decision in heterogeneous wireless networks. The signal to interference plus noise ratio (SINR) effects, analytic hierarchy process (AHP) and infor- mation entropy (SAE) weight method were introduced into the algorithm. Handoff decision meeting the multi-attribute quality of service (QoS) requirement is made according to an attribute matrix and weight vector using the TOPSIS algorithm. The simulation results have shown that the proposed algo- rithm can provide satisfactory performance fitted to the characteristics of the traffic.展开更多
文摘利用新一代数值预报模式ARW(Advance Research WRF),模拟试验了在不同垂直分辨率条件下模式对"罗莎"台风的预报性能。试验结果表明,数值模式的垂直分辨率变化对台风路径预报效果的影响不大,但对台风强度和结构的预报效果有明显影响。但是,对于一定的水平分辨率而言,有一个与之匹配的垂直分辨率,垂直分辨率低于或者高于这个相匹配的阈值,模式的预报性能都会下降。
基金Supported by the National Natural Science Foundation of China (No. 60872018), the Natural Science Foundation of Education Committee of Jiangsu Province ( No. 11KJB510014) and Scientific Research Foundation of NUPT ( No. NY210004).
文摘An improved technique for order preference by similarity to ideal solution (TOPSIS) algorithm, SAE-TOPSIS, is proposed for the vertical handoff decision in heterogeneous wireless networks. The signal to interference plus noise ratio (SINR) effects, analytic hierarchy process (AHP) and infor- mation entropy (SAE) weight method were introduced into the algorithm. Handoff decision meeting the multi-attribute quality of service (QoS) requirement is made according to an attribute matrix and weight vector using the TOPSIS algorithm. The simulation results have shown that the proposed algo- rithm can provide satisfactory performance fitted to the characteristics of the traffic.