Pukou, China

Nanjing University of Information Science and Technology , formerly the Meteorology College of Nanjing University, was established in 1960 by the China Meteorological Administration, then changed the name into Nanjing Institute of Meteorology in May, 1963. NUIST is the oldest institution of higher learning of meteorology science in China.The administration of NUIST handed over from China Meteorological Administration to Jiangsu province in February, 2000. Its present name of Nanjing University of Information Science and Technology was adopted in May, 2004 with authorization by Jiangsu Government and the Ministry of Education of PRC.NUIST offers Associate, Bachelor, Master and Doctorate degree programs in areas including Atmospheric Science, Information Science and Technology, Environmental Science, Engineering, management, literature, economics, laws and agriculture.At Autumn 2010 more than 150 foreign students from 27 countries were studying at NUIST.External PartnershipThe university has established with Yale University, University of Maryland, University of Wisconsin, University of Detroit, University of Edinburgh, University of Reading, University of Toronto, University of Hamburg, Germany, Ireland, Waterford Institute of Technology, Queensland University of Technology 48 famous universities a partnership of scientific research and personnel training, exchange of visiting scholars and students enrolled in undergraduate and graduate departments. The school has the scholarships from Chinese government, Hanban, the Jiangsu province to recruit students. In 2009, the school was founded the "Confucius class" in Bahamas, and it became the fourth Confucius class that Jiangsu Province has found in overseas universities, in 2011, "Confucius class" successfully upgraded to "Confucius Institute". The school has a "World Meteorological Organization Regional Training Center", which has trained more than 1,600 meteorological technicians and managers for 134 countries and regions, and successfully hosted the Tenth World Meteorological Organization Conference of Education and Training and the third session of " quantitative precipitation estimation and forecasting " international conference . In 2010, the World Meteorological Organization Executive Council session on 62 certificates in recognition of the important contribution of the school to make the international meteorological training. Wikipedia.

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Vaid B.H.,Nanjing University of Information Science and Technology
Pure and Applied Geophysics | Year: 2017

The association of the biweekly intraseasonal (BWI) oscillation in the Sea Surface Temperature (SST) over the South China Sea (SCS) and the Western North Pacific Summer Monsoon is authenticated using version 4 the Tropical Rainfall Measuring Mission Microwave Imager data (SST and rain) and heat fluxes from Ocean Atmosphere Flux project data during 1998–2012. The results suggest that the SCS involves ocean–atmosphere coupling on biweekly timescales. The positive biweekly SST anomalies lead the rain anomalies over the SCS by 3 days, with a significant correlation coefficient (r = 0.6, at 99 % significance levels) between the SST-rain anomalies. It is evident from lead/lag correlation between biweekly SST and zonal wind shear that warm ocean surface induced by wind shear may contribute to a favorable condition of the convective activity over the SCS. The present study suggests that ocean–to-atmospheric processes induced by the BWI oscillation in the SCS SST results in enhanced sea level pressure and surface shortwave radiation flux during the summer monsoon. Besides, it is observed that the SCS BWI oscillation in the changes of SST causes a feedback in the atmosphere by modifying the atmospheric instability. This suggests that the active/break biweekly cycle of the SST over the SCS is related by sea level pressure, surface heat fluxes and atmospheric instability. The potential findings here indicate that the biweekly SST over the SCS play an important role in the eastward and the southward propagation of the biweekly anomalies in the Western North Pacific. © 2015, Springer Basel.

News Article | May 11, 2017
Site: www.eurekalert.org

Reduced dust slows winds, increases air stagnation over cities like Beijing; implications for US, other cities as well Man-made pollution in eastern China's cities worsens when less dust blows in from the Gobi Desert, according to a new study published May 11 in Nature Communications. Yes, you read that correctly: When less natural dust blows in, the air quality for millions of people worsens. That's because dust plays an important role in determining the air temperatures and thereby promoting winds to blow away man-made pollution. Less dust means the air stagnates, with man-made pollution becoming more concentrated and sticking around longer. The scientists found that reduced dust causes a 13 percent increase in man-made pollution over eastern China during the winter. Researchers say the broader question of how natural dust and man-made pollution interact is an important one for people across the globe, not just China. Many of the same forces that ease or worsen pollution in China are at play in many areas around the globe, including several cities in the United States. The paradoxical finding -- that more natural dust in the air improves air quality -- comes from a team of researchers from the Department of Energy's Pacific Northwest National Laboratory and Scripps Institution of Oceanography at the University of California at San Diego. Post-doctoral researcher Yang Yang of PNNL is first author of the paper, and Lynn Russell of Scripps is the corresponding author. In computer models together with historical data, the team found that reduced natural dust transported from the Gobi Desert in central and northern China translates to increased man-made air pollution in highly populated eastern China. The reason is that natural dust particles in the air help deflect sunlight. Fewer dust particles translates to a warmer-than-usual land surface and cooler-than-usual water. That reduces the temperature differential in winter between sea and the land, resulting in weaker winds -- and increased air stagnation. As a result, during the winter monsoon season, eastern China experiences weaker winds when there's less natural dust in the air. It's nothing a person would notice -- a reduction barely more than one-tenth of one mile per hour -- but on a large scale over an entire region, such a seemingly minor change has a profound effect on climate and air quality. "This is one of the first times we've really looked at the interactions between natural dust, wind, and anthropogenic pollution," said Yang. "It turns out that dust plays an important role in determining the quality of the air for many people in eastern China." The modeling results match observational data from dozen of sites in eastern China. The team found that two to three days after winds had brought dust into the region from western China, the air was cleaner than before the dust arrived. The researchers say man-made pollution is still the core of air pollution in cities like Beijing in eastern China but that it's important to understand the role of natural dust particles. In addition to authors from Scripps and PNNL, scientists from Nanjing University of Information Science and Technology and the Chinese Academy of Meteorological Sciences contributed to the study. Work was funded by the National Science Foundation and the Department of Energy Office of Science. Some of the research was performed at the National Energy Research Scientific Computing Center, an Office of Science national user facility on the campus of DOE's Lawrence Berkeley National Laboratory. Yang Yang, Lynn M. Russell, Sijia Lou, Hong Liao, Jianping Guo, Ying Liu, Balwinder Singh and Steven J. Ghan, Dust-wind interactions can intensify aerosol pollution over eastern China, Nature Communications, May 11, 2017, http://dx. .

News Article | May 2, 2017
Site: www.eurekalert.org

A new study by scientists from the Institute of Atmospheric Physics and Nanjing University of Information Science and Technology investigates the trends in the mean state and the day-to-day variability (DDV) of the surface weather conditions over northern and northeastern China (NNEC) using CN05.1 observational data. During 1961-2014, the surface temperature (wind speed) increased (decreased) over NNEC and the DDV of the surface temperatures and wind speeds decreased, indicating a trend towards a stable, warm and windless state of the surface weather conditions over NNEC. This finding implies a trend towards more persistent hot and windless episodes, which threaten human health and aggravate environmental problems. The trends were also examined in reanalysis data. Both the ERA-40 and NCEP data showed an increasing (decreasing) trend in the mean state of the surface temperatures (wind speeds). However, the reanalysis data only showed a consistent decreasing trend in the DDV of the surface weather conditions in spring. The underlying reason for the decreased DDV of the surface weather conditions was further analyzed, focusing on the spring season. "Essentially, the decreased DDV of the surface weather conditions can be attributed to a decrease in synoptic-scale wave activity, which is quantified using the 2-7-day bandpass filtered daily SLP [sea level pressure] in this study," explains Dr. SUN Bo, first author of the study. The authors found that the decreased synoptic-scale wave activity was caused by a decrease in the baroclinic instability. There was a contrasting change in the baroclinic instability over East Asia, showing a decreasing (increasing) trend north (south) of 40°N. This contrasting change in the baroclinic instability was primarily caused by a tropospheric cooling zone over East Asia at approximately 40°N, which led to a decreased (increased) meridional temperature gradient over the regions to the north (south) of 40°N.

Agency: European Commission | Branch: FP7 | Program: CP-FP | Phase: SPA.2013.3.2-01 | Award Amount: 2.63M | Year: 2013

PArtnership with chiNa on space DAta The objective of the PANDA Project is to establish a team of European and Chinese scientists who will jointly use space observations and in-situ data as well as advanced numerical models to monitor, analyse and forecast global and regional air quality. PANDA will provide to users and stakeholders knowledge, methodologies and toolboxes that will serve as a basis for global and regional air quality analysis and forecasts. It will provide science-based information that will improve air quality management by regional and local authorities. A strong dissemination and education activity will be established to train users to use the key products and data generated by the Project. Through the proposed cooperation between Europe and China, the following objectives will be reached before the completion of the Project: 1. Improvement of methods for monitoring air quality from combined space and in-situ observations 2. Elaboration of indicators for air quality, in support of European and Chinese policies 3. Development of toolboxes for air quality and emissions monitoring 4. Dissemination of information and educational activities The PANDA project is organized around 7 work-packages dealing with remote sensing data, in-situ observations, anthropogenic and natural emissions, integration of observations and models, toolbox development, cooperation, dissemination of knowledge and capacity building, and management and coordination. The project will support the European Space Policy and specifically the GMES Programme (Global Monitoring for Environment and Security). It will contribute to the development of the Global Earth Observation System of Systems (GEOSS).

Qiu Z.,Nanjing University of Information Science and Technology
Optics Express | Year: 2013

Distribution of the suspended particulate matter (SPM) concentration is a key issue for analyzing the deposition and erosion variety of the estuary and evaluating the material fluxes from river to sea. Satellite remote sensing is a useful tool to investigate the spatial variation of SPM concentration in estuarial zones. However, algorithm developments and validations of the SPM concentrations in Yellow River Estuary (YRE) have been seldom performed before and therefore our knowledge on the quality of retrieval of SPM concentration is poor. In this study, we developed a new simple optical model to estimate SPM concentration in YRE by specifying the optimal wavelength ratios (600-710 nm)/ (530-590 nm) based on observations of 5 cruises during 2004 and 2011. The simple optical model was attentively calibrated and the optimal band ratios were selected for application to multiple sensors, 678/551 for the Moderate Resolution Imaging Spectroradiometer (MODIS), 705/560 for the Medium Resolution Imaging Spectrometer (MERIS) and 680/555 for the Geostationary Ocean Color Imager (GOCI). With the simple optical model, the relative percentage difference and the mean absolute error were 35.4% and 15.6 gm-3 respectively for MODIS, 42.2% and 16.3 gm-3 for MERIS, and 34.2% and 14.7 gm -3 for GOCI, based on an independent validation data set. Our results showed a good precision of estimation for SPM concentration using the new simple optical model, contrasting with the poor estimations derived from existing empirical models. Providing an available atmospheric correction scheme for satellite imagery, our simple model could be used for quantitative monitoring of SPM concentrations in YRE. © 2013 Optical Society of America.

Geyi W.,Nanjing University of Information Science and Technology
IEEE Transactions on Antennas and Propagation | Year: 2013

This paper studies the optimum design of antennas. The objective function to be maximized is the ratio of gain to quality factor (Q) (i.e., the product of gain and bandwidth) in a specified direction. The theoretical upper bounds for the ratio of gain to Q are first rederived by using the IEEE standard definition of antenna Q. The ratio of gain to Q in a specified direction may be considered as a linear functional of the current distribution, and once it is maximized, an eigenvalue equation can be obtained from the variational principle. This eigenvalue equation can then be solved, yielding an optimum current distribution that maximizes the ratio of gain to Q in the specified direction. A number of numerical examples for small antennas have been presented to demonstrate how the theoretical upper bounds for the ratio of gain to Q can be approached by optimizing the current distributions as well as antenna geometries. © 1963-2012 IEEE.

Gu B.,Nanjing University of Information Science and Technology
Journal of the Optical Society of America B: Optical Physics | Year: 2012

We propose a single-photon-assisted entanglement concentration protocol (ECP) for nonlocal N-photon systems in a partially entangled pure W-class state with linear optical elements. Only one of the N parties in quantum communication prepares an ancillary photon and operates the entanglement concentration process for picking up the standard N-photon W state from each partially entangled pure W-class state by choosing the two-mode instances from a polarization beam splitter. Compared with other ECPs for W-class states, our protocol has some advantages. First, it requires only linear optical elements. Second, it requires an N-photon system and an ancillary photon for each round of concentration, not two systems. Third, only one party asks other parties to retain or discard their photons. All these advantages make our ECP more feasible and more convenient than others. © 2012 Optical Society of America.

Wang Z.,Nanjing University of Information Science and Technology
Journal of Geophysical Research: Oceans | Year: 2013

We investigate the responses of the Southern Hemisphere subpolar gyres to projected climate changes over the 21st century by Coupled Model Intercomparison Project Phase 3 and 5 models. Under increased greenhouse gas forcing, the Southern Hemisphere westerly winds consistently become intensified, resulting in increased cyclonic wind forcing in the subpolar region in these models. Under such wind forcing changes, it is a robust feature that there are consistent increases in the westward flow close to the coast of Antarctica, with strong implications to the mass balance of the Antarctic ice shelves and ice sheets. However, there are large discrepancies in the responses of the gyre axes and overall gyre strengths. Some models show equatorward expansions of the southern gyre limbs, resulting in consistent and large gyre strength increases, while some other models show poleward contractions of the gyres and generally small and less consistent gyre strength changes. These uncertainties are primarily a result of the uncertain simulations of eddy-driven circulations in the Antarctic Circumpolar Current. The associated buoyancy forcing changes play a secondary role in driving these oceanic responses. This study reveals that there are large uncertainties in the projections of the sub polar circulation in the current generation of coupled climate models, although CMIP5 models have considerably smaller inter-model spreads in the present-day and projected gyre strengths. To predict the subpolar circulation changes, future improved modelling studies need to particularly reduce the uncertainties in the projections of the westerly jet and to reduce the uncertainties in the eddy-driven circulation responses to wind forcing changes. © 2013. American Geophysical Union. All Rights Reserved.

Li F.,Nanjing University of Information Science and Technology
Microporous and Mesoporous Materials | Year: 2013

Iron-bearing minerals have been used as adsorbents for arsenic anions for many decades, but both the small surface area and the poorly defined pore structure limit their performance in removal of arsenic from aqueous systems. Herein, we report a sonochemical layer-by-layer (LBL) loading process for depositing of ferric species onto mesoporous silicas (i.e., MCM-41, SBA-15, and KIT-6). The surface area, pore size and volume, as well as the iron loading of these mesoporous silicas can be tailored and optimized with increasing in loading cycle via a LBL protocol. The surface functioned materials were characterized by X-ray diffraction (XRD), N2 physisorption, transmission electron microscopy (TEM), Fourier transform infrared (FTIR) spectrometry and zeta potential measurement. Their performance in As(V) adsorption was also tested. The results indicate that the iron-loaded mesoporous silicas retained their ordered pore structure as well as the large surface area, which enable them a good kinetic performance in uptake of As(V) anions. When iron loading is as much as 10 wt.%, two representative iron-loaded silicas Fe10MCM-41 and Fe10KIT-6, exhibited the best performance in trapping the As(V) anions, with an Fe/As molar ratio of about 5.77 and 5.10, respectively. The Fe/As molar ratio implies they belong to the iron-containing adsorbents with the highest adsorption performance for As(V), and therefore could be used as alternative adsorbents for As(V) adsorption. © 2012 Elsevier Inc. All rights reserved.

Wu L.,Nanjing University of Information Science and Technology | Zhao H.,Nanjing University of Information Science and Technology
Journal of Climate | Year: 2012

The study of the impact of global warming on tropical cyclone (TC) intensity is subject to uncertainty in historical datasets, especially in the western North Pacific (WNP) basin, where conflicting results have been found with the TC datasets archived in different organizations. In this study the basinwide TC intensity in the WNP basin is derived dynamically with a TC intensity model, based on the track data from the Joint Typhoon Warning Center (JTWC), the Regional Specialized Meteorological Center (RSMC) of Tokyo, and the Shanghai Typhoon Institute (STI) of the China Meteorological Administration. The dynamically derived TC intensity is compared to the three datasets and used to investigate trends in TC intensity. The associated contributions of changes in SST, vertical wind shear, and prevailing tracks are also examined. The evolution of the basinwide TC intensity in the JTWC best-track dataset can be generally reproduced over the period 1975-2007. Dynamically derived data based on the JTWC, RSMC, and STI track datasets all show an increasing trend in the peak intensity and frequency of intense typhoons, mainly because of the combined effect of changes in SST and vertical wind shear. This study suggests that the increasing intensity trend in the JTWC dataset is real, but that it may be overestimated. In contrast, the TC intensity trends in the RSMC and STI intensity datasets are dynamically inconsistent. Numerical simulations also suggest that the frequency of intense typhoons is more sensitive to changes in SST and vertical wind shear than the peak and average intensities defined in previous studies. © 2012 American Meteorological Society.

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