Lag correlations between sea surface temperature anomalies （SSTA） in the southeastern tropical Indian Ocean （STIO） in fall and Nifio 3.4 SSTA in the eastern equatorial Pacific in the following fall are subjected t...Lag correlations between sea surface temperature anomalies （SSTA） in the southeastern tropical Indian Ocean （STIO） in fall and Nifio 3.4 SSTA in the eastern equatorial Pacific in the following fall are subjected to decadal variation, with positive correlations during some decades and negative correlations during others. Negative correlations are smaller and of shorter duration than positive correlations. Variations in lag correlations suggest that the use of the Indian Ocean Dipole （IOD） as a predictor of the E1 Nifio- Southern Oscillation （ENSO） at a lead time of one year is not effective during some decades. In this study, lag correlations between IOD and ENSO anomalies were analyzed to investigate why the IOD-ENSO teleconnection disappears during decades with negative correlations. Anomalies induced by the IOD in the equatorial Pacific Ocean during decades with negative correlations are still present, but at a greater depth than in decades with positive correlations, resulting in a lack of response to oceanic channel dynamics in the cold tongue SSTA. Lag correlations between oceanic anomalies in the west Pacific warm pool in fall and the equatorial Pacific cold tongue with a one-year time lag are significantly positive during decades with negative correlations. These results suggest that oceanic channel dynamics are overwhelmed by ocean- atmosphere coupling over the equatorial Pacific Ocean during decades with negative correlations. Therefore, the Indonesian throughflow is not effective as a link between IOD signals and the equatorial Pacific ENSO.展开更多
The rice planthopper,including brown planthopper(Nilaparvata hugens Stal)and white—backed planthopper(Sogata furcifera Hor-vath),is one kind of tropical pests.They im-migrate with the southeast monsoon from low—lati...The rice planthopper,including brown planthopper(Nilaparvata hugens Stal)and white—backed planthopper(Sogata furcifera Hor-vath),is one kind of tropical pests.They im-migrate with the southeast monsoon from low—latitude area into China at March of April.The global climatic anomaly especially the ElNi (?)o event and the Southern Oscillation(theENSO event)directly influence the rice plan-展开更多
From the point of view of atmospheric science and oceanography, the author explores the origin of abnormal climatic phenomena of El Nino and La Nina, the interaction between the two and their influence on climatic ano...From the point of view of atmospheric science and oceanography, the author explores the origin of abnormal climatic phenomena of El Nino and La Nina, the interaction between the two and their influence on climatic anomalies in China in general, and on precipitation in the Yangtze River Valley in particular.展开更多
In this paper,we proposes and analyzes the mixed 4th-order Runge-Kutta scheme of conditional nonlinear perturbation(CNOP)approach for the EI Ni˜no-Southern Oscillation(ENSO)model.This method consists of solving the EN...In this paper,we proposes and analyzes the mixed 4th-order Runge-Kutta scheme of conditional nonlinear perturbation(CNOP)approach for the EI Ni˜no-Southern Oscillation(ENSO)model.This method consists of solving the ENSO model by using a mixed 4th-order Runge-Kutta method.Convergence,the local and global truncation error of this mixed 4th-order Runge-Kutta method are proved.Furthermore,optimal control problem is developed and the gradient of the cost function is determined.展开更多
基金Supported by the National Basic Research Program of China(973 Program)(Nos.2012CB956000,2011CB403502)the National Natural Science Foundation of China(No.41176019)+1 种基金the China Meteorological Administration(No.GYHY201306018)the Strategic Priority Program of Chinese Academy of Sciences(No.XDA11010301)
文摘Lag correlations between sea surface temperature anomalies （SSTA） in the southeastern tropical Indian Ocean （STIO） in fall and Nifio 3.4 SSTA in the eastern equatorial Pacific in the following fall are subjected to decadal variation, with positive correlations during some decades and negative correlations during others. Negative correlations are smaller and of shorter duration than positive correlations. Variations in lag correlations suggest that the use of the Indian Ocean Dipole （IOD） as a predictor of the E1 Nifio- Southern Oscillation （ENSO） at a lead time of one year is not effective during some decades. In this study, lag correlations between IOD and ENSO anomalies were analyzed to investigate why the IOD-ENSO teleconnection disappears during decades with negative correlations. Anomalies induced by the IOD in the equatorial Pacific Ocean during decades with negative correlations are still present, but at a greater depth than in decades with positive correlations, resulting in a lack of response to oceanic channel dynamics in the cold tongue SSTA. Lag correlations between oceanic anomalies in the west Pacific warm pool in fall and the equatorial Pacific cold tongue with a one-year time lag are significantly positive during decades with negative correlations. These results suggest that oceanic channel dynamics are overwhelmed by ocean- atmosphere coupling over the equatorial Pacific Ocean during decades with negative correlations. Therefore, the Indonesian throughflow is not effective as a link between IOD signals and the equatorial Pacific ENSO.
文摘The rice planthopper,including brown planthopper(Nilaparvata hugens Stal)and white—backed planthopper(Sogata furcifera Hor-vath),is one kind of tropical pests.They im-migrate with the southeast monsoon from low—latitude area into China at March of April.The global climatic anomaly especially the ElNi (?)o event and the Southern Oscillation(theENSO event)directly influence the rice plan-
文摘From the point of view of atmospheric science and oceanography, the author explores the origin of abnormal climatic phenomena of El Nino and La Nina, the interaction between the two and their influence on climatic anomalies in China in general, and on precipitation in the Yangtze River Valley in particular.
基金supported in part by NSF of China(No.11371031),Technology Infrastructure Work(No.2014FY210100)Baoji Science and Technology Plan Projects(No.14SFGG-2-7),and the Key Project of Baoji University of Arts and Sciences(No.ZK15033).
文摘In this paper,we proposes and analyzes the mixed 4th-order Runge-Kutta scheme of conditional nonlinear perturbation(CNOP)approach for the EI Ni˜no-Southern Oscillation(ENSO)model.This method consists of solving the ENSO model by using a mixed 4th-order Runge-Kutta method.Convergence,the local and global truncation error of this mixed 4th-order Runge-Kutta method are proved.Furthermore,optimal control problem is developed and the gradient of the cost function is determined.
