In this study,the relationship of tropical cyclone(TC)size change rate(SCR),within 24 hours,with size,intensity,and intensity change rate(ICR)are explored over the western North Pacific.TC size is defined as the azimu...In this study,the relationship of tropical cyclone(TC)size change rate(SCR),within 24 hours,with size,intensity,and intensity change rate(ICR)are explored over the western North Pacific.TC size is defined as the azimuthally averaged radius of gale-force wind of 17 m s−1(R17)based on the Multiplatform Tropical Cyclone Surface Winds Analysis data.The majority of SCRs are mainly distributed in the range from−20 to 80 km d−1.The correlation coefficients between SCR and size(SCR-R17),intensity,and ICR(SCR-ICR)are−0.43,−0.12,and 0.25,respectively.The sensitivity of the SCR-R17 and SCR-ICR relationships to size,intensity,and evolution stage are further examined.Results show that the SCR-R17 relationship is more sensitive to variations of size and evolution stage than that of intensity.The relationship of SCR-ICR is largely modulated by the evolution stage.The correlation coefficient of SCR-ICR can increase from 0.25 to 0.40 when only considering the lifetime stages concurrently before and after the lifetime maximum size(LMS)and lifetime maximum intensity.This demonstrates that ICR is a potential factor in predicting SCR during these evolution stages.Besides,the TC size expansion(shrinkage)is more likely to occur for TCs with smaller(larger)size and weaker(stronger)intensity.The complexity of size change during a TC's lifetime can be attributed to the fact that shrinkage or expansion could occur both before and after LMS.展开更多
The rapid development of information technology promotes the transformation and development of future air combat,frommechanization to informatization,intelligence,and multiplatform integration.For the multiplatform av...The rapid development of information technology promotes the transformation and development of future air combat,frommechanization to informatization,intelligence,and multiplatform integration.For the multiplatform avionics system in the unmanned aerial vehicle(UAV)-based network,we aim to address the data routing and sharing issues and propose an integrated communication effectiveness metric.The proposed integrated communication effectiveness is a hierarchical metric consisting of link effectiveness,node effectiveness,and data effectiveness.The link quality,link stability,node honesty,node ability,and data value are concurrently taken into account.We give the normal mathematical expression for the integrated communication effectiveness.We propose a hop-by-hop routing scheme based on a Q-learning algorithm considering the proposed effectiveness metric.Simulation results demonstrate that the proposed scheme is able to find the most efficient routing in the UAV network.展开更多
基金This study was supported by the National Natural Science Foundation of China[grant numbers 41975071 and 41775063].
文摘In this study,the relationship of tropical cyclone(TC)size change rate(SCR),within 24 hours,with size,intensity,and intensity change rate(ICR)are explored over the western North Pacific.TC size is defined as the azimuthally averaged radius of gale-force wind of 17 m s−1(R17)based on the Multiplatform Tropical Cyclone Surface Winds Analysis data.The majority of SCRs are mainly distributed in the range from−20 to 80 km d−1.The correlation coefficients between SCR and size(SCR-R17),intensity,and ICR(SCR-ICR)are−0.43,−0.12,and 0.25,respectively.The sensitivity of the SCR-R17 and SCR-ICR relationships to size,intensity,and evolution stage are further examined.Results show that the SCR-R17 relationship is more sensitive to variations of size and evolution stage than that of intensity.The relationship of SCR-ICR is largely modulated by the evolution stage.The correlation coefficient of SCR-ICR can increase from 0.25 to 0.40 when only considering the lifetime stages concurrently before and after the lifetime maximum size(LMS)and lifetime maximum intensity.This demonstrates that ICR is a potential factor in predicting SCR during these evolution stages.Besides,the TC size expansion(shrinkage)is more likely to occur for TCs with smaller(larger)size and weaker(stronger)intensity.The complexity of size change during a TC's lifetime can be attributed to the fact that shrinkage or expansion could occur both before and after LMS.
文摘The rapid development of information technology promotes the transformation and development of future air combat,frommechanization to informatization,intelligence,and multiplatform integration.For the multiplatform avionics system in the unmanned aerial vehicle(UAV)-based network,we aim to address the data routing and sharing issues and propose an integrated communication effectiveness metric.The proposed integrated communication effectiveness is a hierarchical metric consisting of link effectiveness,node effectiveness,and data effectiveness.The link quality,link stability,node honesty,node ability,and data value are concurrently taken into account.We give the normal mathematical expression for the integrated communication effectiveness.We propose a hop-by-hop routing scheme based on a Q-learning algorithm considering the proposed effectiveness metric.Simulation results demonstrate that the proposed scheme is able to find the most efficient routing in the UAV network.
