Nanjing University of Information Science and Technology

About: Nanjing University of Information Science and Technology is a education organization based out in Nanjing, China. It is known for research contribution in the topics: Precipitation & Aerosol. The organization has 14129 authors who have published 17985 publications receiving 267578 citations. The organization is also known as: Nan Xin Da.

Statistical behaviours of precipitation regimes in China and their links with atmospheric circulation 1960–2005

Abstract: In this study, we comprehensively analysed daily precipitation time series of 590 rain stations in China covering 1960–2005. Ten indices were defined to evaluate changing patterns of precipitation regimes and trend detection was performed using Mann–Kendall trend test and linear regressive technique. For the sake of better understanding of underlying causes behind changing properties of precipitation regimes, we also investigated spatial and temporal variations of atmospheric circulation of water vapour flux. The results revealed different changing properties of precipitation events across China. Generally, wet tendency was identified in the south China and dry tendency in north China. Besides, slight wet tendency could be found in northwest China. In addition, increasing precipitation intensity could be observed mainly in the lower Yangtze River basin and the Pearl River basin. Remarkable seasonal shifts of wet/dry conditions were also detected in China: wet tendency in winter and dry tendency in summer. Furthermore, this study revealed good agreement between spatial distribution of precipitation regimes and water vapour flux, showing tremendous influences of water vapour flux on the precipitation changes across China. Regions east to 100°E were dominated by increasing water vapour flux in winter. Weaker East Asian Summer Monsoon was the main cause responsible for decreasing northward propagation of water vapour flux, causing different wet (dry) tendency in south (north) China. This study can provide theoretical evidence for effective water resource management and sound arrangement of agriculture activities on river basin scale under the changing environment across China. Copyright © 2010 Royal Meteorological Society

Ultrasensitive strain sensor based on Vernier- effect improved parallel structured fiber-optic Fabry-Perot interferometer

Abstract: A novel parallel structured fiber-optic Fabry-Perot interferometer (FPI) based on Vernier-effect is theoretically proposed and experimentally demonstrated for ultrasensitive strain measurement. This proposed sensor consists of open-cavity and closed-cavity fiber-optic FPI, both of which are connected in parallel via a 3 dB coupler. The open-cavity is implemented for sensing, while the closed-cavity for reference. Experimental results show that the proposed parallel structured fiber-optic FPI can provide an ultra-high strain sensitivity of −43.2 pm/μe, which is 4.6 times higher than that of a single open-cavity FPI. Furthermore, the sensor is simple in fabrication, robust in structure, and stable in measurement. Finally, the parallel structured fiber-optic FPI scheme proposed in this paper can also be applied to other sensing field, and provide a new perspective idea for high sensitivity sensing.

Predictable climate dynamics of abnormal East Asian winter monsoon: once-in-a-century snowstorms in 2007/2008 winter

Abstract: In 2008 (January–February), East Asia (EA) experiences the most severe and long-persisting snowstorm in the past 100 years. Results in this study show that 2007/2008 winter is dominant by the third principal mode of the East Asian winter monsoon (EAWM) which explains 8.7% of the total surface air temperature variance over EA. Significantly distinguished from the first two leading modes, the third mode positive phase features an increased surface pressure over the northwestern EA, an enhanced central Siberian high (CSH), a strengthened and northwestward extended western Pacific subtropical high (WPSH) and anomalously strong moisture transport from western Pacific, Arabian Sea and Bay of Bengal to EA. It also exhibits an intimate linkage with the sea surface temperature anomalies (SSTAs) in the Arctic Ocean areas adjacent to northern Eurasian continent, central North Pacific and northeastern Pacific. Such SSTAs emerge in prior autumn and persist through ensuing winter, signifying precursory conditions for the anomalous third EAWM mode. Numerical experiments with a simple general circulation model demonstrate that the Arctic SSTAs excite geo-potential height anomalies over northern Eurasian continent and impacts on the CSH, while the extra-tropical Pacific SSTAs deform the WPSH. Co-effects of them play crucial roles on origins of the third EAWM mode. Based on these results, an empirical model is established to predict the third mode of the EAWM. Hindcast is performed for the 1957–2008 period, which shows a quite realistic prediction skill in general and good prediction ability in the extreme phase of the third mode of the EAWM such as 2007/2008 winter. Since all these predictors can be readily monitored in real time, this empirical model provides a real time forecast tool and may facilitate the seasonal prediction of high-impact weather associated with the abnormal EAWM.

A review of studies on green finance of banks, research gaps and future directions

Abstract: With growing global concern for environmental protection, climate change and sustainable development, policymakers and researchers have recently focused on green finance. In this study, existing st...

Diagnosing multistability by offset boosting

Abstract: An offset-boosting-based approach is developed for multistability identification in dynamical systems, where nonbifurcation operations are used for diagnosing multistability. Compared with the amplitude control method, the proposed approach has three distinguished features: easiness to introduce a parameter for offset boosting; reliability for finding coexisting attractors from arbitrary initial conditions; vigilance for identifying coexisting symmetric pairs of attractors. The proposed approach can identify coexisting hidden or self-excited attractors.