95 results on '"Zhou, Shujia"'
Search Results
2. Synergistic photocatalytic and Fenton-like degradation of MO by nanocatalyst La0.7Sr0.3Mn0.85Fe0.15O3
- Author
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Zhou, Shujia, Yan, Chengrong, Dang, Yunfei, Cao, Xuefang, and Wei, Zhixian
- Published
- 2021
- Full Text
- View/download PDF
3. Revisiting the evolution of the 2009–2011 meteorological drought over Southwest China
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Sun, Shanlei, Li, Qingqing, Li, Jinjian, Wang, Guojie, Zhou, Shujia, Chai, Rongfan, Hua, Wenjian, Deng, Peng, Wang, Jie, and Lou, Weiping
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- 2019
- Full Text
- View/download PDF
4. Cost Prediction Using a Survival Grouping Algorithm: An Application to Incident Prostate Cancer Cases
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Onukwugha, Eberechukwu, Qi, Ran, Jayasekera, Jinani, and Zhou, Shujia
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- 2016
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5. Impact of Land Model Calibration on Coupled Land–Atmosphere Prediction
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Santanello, Joseph A., Kumar, Sujay V., Peters-Lidard, Christa D., Harrison, Ken, and Zhou, Shujia
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- 2013
6. Design and synthesis of polyhydroxy steroids as selective inhibitors against AKR1B10 and molecular docking
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Chen, Wenli, Chen, Xinying, Zhou, Shujia, Zhang, Hong, Wang, Ling, Xu, Jun, Hu, Xiaopeng, Yin, Wei, Yan, Guangmei, and Zhang, Jingxia
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- 2016
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7. Naturally occurring marine steroid 24-methylenecholestane-3β,5α,6β,19-tetraol functions as a novel neuroprotectant
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Leng, Tiandong, Liu, Ailing, Wang, Youqiong, Chen, Xinying, Zhou, Shujia, Li, Qun, Zhu, Wenbo, Zhou, Yuehan, Su, Xingwen, Huang, Yijun, Yin, Wei, Qiu, Pengxin, Hu, Haiyan, Xiong, Zhi-gang, Zhang, Jingxia, and Yan, Guangmei
- Published
- 2016
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8. A component architecture for high-performance scientific computing
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Allan, Benjamin A., Armstrong, Robert, Bernholdt, David E., Bertrand, Felipe, Chiu, Kenneth, Dahlgren, Tamara L., Damevski, Kostadin, Elwasif, Wael R., Epperly, Thomas G.W., Govindaraju, Madhusudhan, Katz, Daniel S., Kohl, James A., Krishnan, Manoj, Kumfert, Gary, Larson, J. Walter, Lefantzi, Sophia, Lewis, Michael J., Malony, Allen D., McInnes, Lois C., Nieplocha, Jarek, Norris, Boyana, Parker, Steven G., Ray, Jaideep, Shende, Sameer, Windus, Theresa L., and Zhou, Shujia
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Modeling ,Quantum chemistry -- Analysis ,Computer architecture -- Analysis ,Parallel computers -- Analysis - Abstract
Abstract The Common Component Architecture (CCA) provides a means for software developers to manage the complexity of large-scale scientific simulations and to move toward a plug-and-play environment for high-performance computing. […]
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- 2006
9. Profiling and Improving I/O Performance of a Large-Scale Climate Scientific Application
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Liu, Zhuo, Wang, Bin, Wang, Teng, Tian, Yuan, Xu, Cong, Wang, Yandong, Yu, Weikuan, Cruz, Carlos A, Zhou, Shujia, Clune, Tom, and Klasky, Scott
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Computer Programming And Software - Abstract
Exascale computing systems are soon to emerge, which will pose great challenges on the huge gap between computing and I/O performance. Many large-scale scientific applications play an important role in our daily life. The huge amounts of data generated by such applications require highly parallel and efficient I/O management policies. In this paper, we adopt a mission-critical scientific application, GEOS-5, as a case to profile and analyze the communication and I/O issues that are preventing applications from fully utilizing the underlying parallel storage systems. Through in-detail architectural and experimental characterization, we observe that current legacy I/O schemes incur significant network communication overheads and are unable to fully parallelize the data access, thus degrading applications' I/O performance and scalability. To address these inefficiencies, we redesign its I/O framework along with a set of parallel I/O techniques to achieve high scalability and performance. Evaluation results on the NASA discover cluster show that our optimization of GEOS-5 with ADIOS has led to significant performance improvements compared to the original GEOS-5 implementation.
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- 2013
10. A Lightweight I/O Scheme to Facilitate Spatial and Temporal Queries of Scientific Data Analytics
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Tian, Yuan, Liu, Zhuo, Klasky, Scott, Wang, Bin, Abbasi, Hasan, Zhou, Shujia, Podhorszki, Norbert, Clune, Tom, Logan, Jeremy, and Yu, Weikuan
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Computer Programming And Software - Abstract
In the era of petascale computing, more scientific applications are being deployed on leadership scale computing platforms to enhance the scientific productivity. Many I/O techniques have been designed to address the growing I/O bottleneck on large-scale systems by handling massive scientific data in a holistic manner. While such techniques have been leveraged in a wide range of applications, they have not been shown as adequate for many mission critical applications, particularly in data post-processing stage. One of the examples is that some scientific applications generate datasets composed of a vast amount of small data elements that are organized along many spatial and temporal dimensions but require sophisticated data analytics on one or more dimensions. Including such dimensional knowledge into data organization can be beneficial to the efficiency of data post-processing, which is often missing from exiting I/O techniques. In this study, we propose a novel I/O scheme named STAR (Spatial and Temporal AggRegation) to enable high performance data queries for scientific analytics. STAR is able to dive into the massive data, identify the spatial and temporal relationships among data variables, and accordingly organize them into an optimized multi-dimensional data structure before storing to the storage. This technique not only facilitates the common access patterns of data analytics, but also further reduces the application turnaround time. In particular, STAR is able to enable efficient data queries along the time dimension, a practice common in scientific analytics but not yet supported by existing I/O techniques. In our case study with a critical climate modeling application GEOS-5, the experimental results on Jaguar supercomputer demonstrate an improvement up to 73 times for the read performance compared to the original I/O method.
- Published
- 2013
11. Impact of Calibrated Land Surface Model Parameters on the Accuracy and Uncertainty of Land-Atmosphere Coupling in WRF Simulations
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Santanello, Joseph A., Jr, Kumar, Sujay V, Peters-Lidard, Christa D, Harrison, Ken, and Zhou, Shujia
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Earth Resources And Remote Sensing - Abstract
Land-atmosphere (L-A) interactions play a critical role in determining the diurnal evolution of both planetary boundary layer (PBL) and land surface temperature and moisture budgets, as well as controlling feedbacks with clouds and precipitation that lead to the persistence of dry and wet regimes. Recent efforts to quantify the strength of L-A coupling in prediction models have produced diagnostics that integrate across both the land and PBL components of the system. In this study, we examine the impact of improved specification of land surface states, anomalies, and fluxes on coupled WRF forecasts during the summers of extreme dry (2006) and wet (2007) land surface conditions in the U.S. Southern Great Plains. The improved land initialization and surface flux parameterizations are obtained through the use of a new optimization and uncertainty estimation module in NASA's Land Information System (LIS-OPT/UE), whereby parameter sets are calibrated in the Noah land surface model and classified according to a land cover and soil type mapping of the observation sites to the full model domain. The impact of calibrated parameters on the a) spinup of the land surface used as initial conditions, and b) heat and moisture states and fluxes of the coupled WRF simulations are then assessed in terms of ambient weather and land-atmosphere coupling along with measures of uncertainty propagation into the forecasts. In addition, the sensitivity of this approach to the period of calibration (dry, wet, average) is investigated. Finally, tradeoffs of computational tractability and scientific validity, and the potential for combining this approach with satellite remote sensing data are also discussed.
- Published
- 2012
12. Impact of Land Model Calibration on Coupled Land-Atmosphere Prediction
- Author
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Santanello, Joseph A., Jr, Kumar, Sujay V, Peters-Lidard, Christa D, Harrison, Ken, and Zhou, Shujia
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Meteorology And Climatology - Abstract
Land-atmosphere (L-A) interactions play a critical role in determining the diurnal evolution of both planetary boundary layer (PBL) and land surface heat and moisture budgets, as well as controlling feedbacks with clouds and precipitation that lead to the persistence of dry and wet regimes. Recent efforts to quantify the strength of L-A coupling in prediction models have produced diagnostics that integrate across both the land and PBL components of the system. In this study, we examine the impact of improved specification of land surface states, anomalies, and fluxes on coupled WRF forecasts during the summers of extreme dry and wet land surface conditions in the U.S. Southern Great Plains. The improved land initialization and surface flux parameterizations are obtained through calibration of the Noah land surface model using the new optimization and uncertainty estimation subsystem in NASA's Land Information System (LIS-OPT/UE). The impact of the calibration on the a) spinup of the land surface used as initial conditions, and b) the simulated heat and moisture states and fluxes of the coupled WRF simulations is then assessed. Changes in ambient weather and land-atmosphere coupling are evaluated along with measures of uncertainty propagation into the forecasts. In addition, the sensitivity of this approach to the period of calibration (dry, wet, average) is investigated. Results indicate that the offline calibration leads to systematic improvements in land-PBL fluxes and near-surface temperature and humidity, and in the process provide guidance on the questions of what, how, and when to calibrate land surface models for coupled model prediction.
- Published
- 2012
13. Synthesis and anti-glioma activity of 25(R)-spirostan-3β,5α,6β,19-tetrol
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Leng, TianDong, Zhang, JingXia, Xie, Jun, Zhou, ShuJia, Huang, YiJun, Zhou, YueHan, Zhu, WenBo, and Yan, GuangMei
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- 2010
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14. Design and Impacts of Land-Biogenic-Atmosphere Coupling in the NASA-Unified WRF (NU-WRF) Modeling System
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Tan, Qian, Santanello, Joseph A., Jr, Zhou, Shujia, Tao, Zhining, Peters-Lidard, Christa d, and Chn, Mian
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Meteorology And Climatology - Abstract
Land-Atmosphere coupling is typically designed and implemented independently for physical (e.g. water and energy) and chemical (e.g. biogenic emissions and surface depositions)-based models and applications. Differences in scale, data requirements, and physics thus limit the ability of Earth System models to be fully coupled in a consistent manner. In order for the physical-chemical-biological coupling to be complete, treatment of the land in terms of surface classification, condition, fluxes, and emissions must be considered simultaneously and coherently across all components. In this study, we investigate a coupling strategy for the NASA-Unified Weather Research and Forecasting (NU-WRF) model that incorporates the traditionally disparate fluxes of water and energy through NASA's LIS (Land Information System) and biogenic emissions through BEIS (Biogenic Emissions Inventory System) and MEGAN (Model of Emissions of Gases and Aerosols from Nature) into the atmosphere. In doing so, inconsistencies across model inputs and parameter data are resolved such that the emissions from a particular plant species are consistent with the heat and moisture fluxes calculated for that land cover type. In turn, the response of the atmospheric turbulence and mixing in the planetary boundary layer (PBL) acts on the identical surface type, fluxes, and emissions for each. In addition, the coupling of dust emission within the NU-WRF system is performed in order to ensure consistency and to maximize the benefit of high-resolution land representation in LIS. The impacts of those self-consistent components on' the simulation of atmospheric aerosols are then evaluated through the WRF-Chem-GOCART (Goddard Chemistry Aerosol Radiation and Transport) model. Overall, this ambitious project highlights the current difficulties and future potential of fully coupled. components. in Earth System models, and underscores the importance of the iLEAPS community in supporting improved knowledge of processes and innovative approaches for models and observations.
- Published
- 2011
15. Accelerating Climate and Weather Simulations through Hybrid Computing
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Zhou, Shujia, Cruz, Carlos, Duffy, Daniel, Tucker, Robert, and Purcell, Mark
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Computer Programming And Software - Abstract
Unconventional multi- and many-core processors (e.g. IBM (R) Cell B.E.(TM) and NVIDIA (R) GPU) have emerged as effective accelerators in trial climate and weather simulations. Yet these climate and weather models typically run on parallel computers with conventional processors (e.g. Intel, AMD, and IBM) using Message Passing Interface. To address challenges involved in efficiently and easily connecting accelerators to parallel computers, we investigated using IBM's Dynamic Application Virtualization (TM) (IBM DAV) software in a prototype hybrid computing system with representative climate and weather model components. The hybrid system comprises two Intel blades and two IBM QS22 Cell B.E. blades, connected with both InfiniBand(R) (IB) and 1-Gigabit Ethernet. The system significantly accelerates a solar radiation model component by offloading compute-intensive calculations to the Cell blades. Systematic tests show that IBM DAV can seamlessly offload compute-intensive calculations from Intel blades to Cell B.E. blades in a scalable, load-balanced manner. However, noticeable communication overhead was observed, mainly due to IP over the IB protocol. Full utilization of IB Sockets Direct Protocol and the lower latency production version of IBM DAV will reduce this overhead.
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- 2011
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16. Application-Controlled Parallel Asynchronous Input/Output Utility
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Clune, Thomas and Zhou, Shujia
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Computer Programming And Software - Abstract
A software utility tool has been designed to alleviate file system I/O performance bottlenecks to which many high-end computing (HEC) applications fall prey because of the relatively large volume of data generated for a given amount of computational work. In an effort to reduce computing resource waste, and to improve sustained performance of these HEC applications, a lightweight software utility has been designed to circumvent bandwidth limitations of typical HEC file systems by exploiting the faster inter-processor bandwidth to move output data from compute nodes to designated I/O nodes as quickly as possible, thereby minimizing the I/O wait time. This utility has successfully demonstrated a significant performance improvement within a major NASA weather application.
- Published
- 2010
17. Accelerating Climate Simulations Through Hybrid Computing
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Zhou, Shujia, Sinno, Scott, Cruz, Carlos, and Purcell, Mark
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Meteorology And Climatology - Abstract
Unconventional multi-core processors (e.g., IBM Cell B/E and NYIDIDA GPU) have emerged as accelerators in climate simulation. However, climate models typically run on parallel computers with conventional processors (e.g., Intel and AMD) using MPI. Connecting accelerators to this architecture efficiently and easily becomes a critical issue. When using MPI for connection, we identified two challenges: (1) identical MPI implementation is required in both systems, and; (2) existing MPI code must be modified to accommodate the accelerators. In response, we have extended and deployed IBM Dynamic Application Virtualization (DAV) in a hybrid computing prototype system (one blade with two Intel quad-core processors, two IBM QS22 Cell blades, connected with Infiniband), allowing for seamlessly offloading compute-intensive functions to remote, heterogeneous accelerators in a scalable, load-balanced manner. Currently, a climate solar radiation model running with multiple MPI processes has been offloaded to multiple Cell blades with approx.10% network overhead.
- Published
- 2009
18. Refactoring and Componentizing Legacy Codes: GMI Case Study
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Kouatchou, Jules, Clune, Thomas, Oloso, Hamid, Sawyer, William, Zhou, Shujia, Damon, Megan, and Cruz, Carlos
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Computer Programming And Software - Abstract
As Earth science applications grow increasingly complex over time, maintenance of such software becomes a significant challenge. In general, the software subsystems were designed, implemented and integrated (over an extended period of time) by different groups that did not follow the same software design standard. The objective was understandably to obtain scientific results quickly, but this goal was often achieved at the expense of good software practices. With that pattern of development, the cost of incremental changes to the applications grow ominously large. This increase in effort, tends to squeeze development resources and largely prevent any systematic attempt to reintroduce better software practices and thereby enhance the maintainability of the software. In this paper, we present the process we used to incrementally refactor and componentize the Global Modeling Initiative code to make it more understandable, maintainable, flexible and extensible. The resulting product not only preserves the scientific integrity of the original code but also extends the capabilities of the code for several applications.
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- 2009
19. Impacts of the IBM Cell Processor to Support Climate Models
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Zhou, Shujia, Duffy, Daniel, Clune, Tom, Suarez, Max, Williams, Samuel, and Halem, Milt
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Computer Operations And Hardware - Abstract
NASA is interested in the performance and cost benefits for adapting its applications to the IBM Cell processor. However, its 256KB local memory per SPE and the new communication mechanism, make it very challenging to port an application. We selected the solar radiation component of the NASA GEOS-5 climate model, which: (1) is representative of column physics (approximately 50% computational time), (2) has a high computational load relative to transferring data from and to main memory, (3) performs independent calculations across multiple columns. We converted the baseline code (single-precision, Fortran) to C and ported it with manually SIMDizing 4 independent columns and found that a Cell with 8 SPEs can process 2274 columns per second. Compared with the baseline results, the Cell is approximately 5.2X, approximately 8.2X, approximately 15.1X faster than a core on Intel Woodcrest, Dempsey, and Itanium2, respectively. We believe this dramatic performance improvement makes a hybrid cluster with Cell and traditional nodes competitive.
- Published
- 2008
20. Data Registration, Match, and Model Component Coupling
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Zhou, Shujia and Cruz, Carlos
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Systems Analysis And Operations Research - Abstract
A coupling toolkit has been developed to reduce the complexity of model component coupling, in particular among hierarchical model components. The toolkit provides the services of data registration, data matching, data filtering, and model component coupling. In addition, it can generate diagrams to reveal the "producer"-to-"consumer" relations among the components. We have tested this toolkit with the operational NASA Goddard Earth Observing System (GEOS-5), which is built on the Earth System Modeling Framework (ESMF) and consists of several-level Earth system components.
- Published
- 2007
21. Synergistic photocatalytic and Fenton-like degradation of MO by nanocatalyst La0.7Sr0.3Mn0.85Fe0.15O3.
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Zhou, Shujia, Yan, Chengrong, Dang, Yunfei, Cao, Xuefang, and Wei, Zhixian
- Subjects
- *
CATALYSIS , *PHOTODEGRADATION , *SURFACE analysis , *PHOTOCATALYSIS , *X-ray photoelectron spectroscopy , *CATALYTIC activity , *IRON-manganese alloys - Abstract
In this paper, a series of samples La0.7Sr0.3Mn1-xFexO3 (x = 0, 0.05, 0.10, 0.15, 0.2) were prepared. Among these samples, La0.7Sr0.3Mn0.85Fe0.15O3 showed better catalytic activity than the samples with undoped and other doped ones, so undoped iron La0.7Sr0.3MnO3 and doped iron La0.7Sr0.3Mn0.85Fe0.15O3 were characterized by X-ray diffraction (XRD), UV–Vis diffuse reflection analysis (UV–Vis DRS), vibrating sample magnetometer (VSM), transmission electron microscopy (TEM), scanning electron microscope (SEM), specific surface analysis (BET), and X-ray photoelectron spectroscopy (XPS). In addition, it takes methyl orange (MO) as the object of degradation, and the photocatalysis, Fenton-like reaction, and their synergistic catalytic effects as well as the catalytic mechanisms of La0.7Sr0.3Mn0.85Fe0.15O3 have been studied. The results show that La0.7Sr0.3Mn0.85Fe0.15O3 exhibits high solar-driven photocatalytic and Fenton-like catalytic activities for MO degradation. Moreover, there is an obvious synergistic catalytic effect of photocatalysis and Fenton-like catalytic activity. In addition, according to the free radical capture experiment, the hole, •OH and •O2− are the active substances in the synergistic catalytic process. The possible synergistic catalytic mechanism of La0.7Sr0.3Mn0.85Fe0.15O3 was also proposed. And the average pore size of the catalyst is 20.91 nm by BET. The near-superparamagnetic properties of La0.7Sr0.3Mn0.85Fe0.15O3 enable it to achieve simple separation in an external magnetic field, avoiding the disadvantages of ordinary catalysts that are difficult to separate. Therefore, La0.7Sr0.3Mn0.85Fe0.15O3 is an advanced multifunctional nanocatalyst and could be widely used in the field of wastewater treatment. The magnetic La0.7Sr0.3Mn0.85Fe0.15O3 was synthesized by hydrothermal method successfully, the photocatalysis, Fenton-like reaction and their synergistic catalytic effects as well as the catalytic mechanisms of La0.7Sr0.3Mn0.85Fe0.15O3 have been studied, It is not only a high efficient solar-driven photocatalyst, but also has Fenton -like catalytic properties, and both of them have synergistic catalytic effect. And those indicate that La0.7Sr0.3Mn0.85Fe0.15O3 is an advanced multi-functional catalyst. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
22. Synergistic photocatalytic and Fenton-like degradation of MO by nanocatalyst La0.7Sr0.3Mn0.85Fe0.15O3.
- Author
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Zhou, Shujia, Yan, Chengrong, Dang, Yunfei, Cao, Xuefang, and Wei, Zhixian
- Subjects
CATALYSIS ,PHOTODEGRADATION ,SURFACE analysis ,PHOTOCATALYSIS ,X-ray photoelectron spectroscopy ,CATALYTIC activity ,IRON-manganese alloys - Abstract
In this paper, a series of samples La
0.7 Sr0.3 Mn1-x Fex O3 (x = 0, 0.05, 0.10, 0.15, 0.2) were prepared. Among these samples, La0.7 Sr0.3 Mn0.85 Fe0.15 O3 showed better catalytic activity than the samples with undoped and other doped ones, so undoped iron La0.7 Sr0.3 MnO3 and doped iron La0.7 Sr0.3 Mn0.85 Fe0.15 O3 were characterized by X-ray diffraction (XRD), UV–Vis diffuse reflection analysis (UV–Vis DRS), vibrating sample magnetometer (VSM), transmission electron microscopy (TEM), scanning electron microscope (SEM), specific surface analysis (BET), and X-ray photoelectron spectroscopy (XPS). In addition, it takes methyl orange (MO) as the object of degradation, and the photocatalysis, Fenton-like reaction, and their synergistic catalytic effects as well as the catalytic mechanisms of La0.7 Sr0.3 Mn0.85 Fe0.15 O3 have been studied. The results show that La0.7 Sr0.3 Mn0.85 Fe0.15 O3 exhibits high solar-driven photocatalytic and Fenton-like catalytic activities for MO degradation. Moreover, there is an obvious synergistic catalytic effect of photocatalysis and Fenton-like catalytic activity. In addition, according to the free radical capture experiment, the hole, •OH and •O2 − are the active substances in the synergistic catalytic process. The possible synergistic catalytic mechanism of La0.7 Sr0.3 Mn0.85 Fe0.15 O3 was also proposed. And the average pore size of the catalyst is 20.91 nm by BET. The near-superparamagnetic properties of La0.7 Sr0.3 Mn0.85 Fe0.15 O3 enable it to achieve simple separation in an external magnetic field, avoiding the disadvantages of ordinary catalysts that are difficult to separate. Therefore, La0.7 Sr0.3 Mn0.85 Fe0.15 O3 is an advanced multifunctional nanocatalyst and could be widely used in the field of wastewater treatment. The magnetic La0.7Sr0.3Mn0.85Fe0.15O3 was synthesized by hydrothermal method successfully, the photocatalysis, Fenton-like reaction and their synergistic catalytic effects as well as the catalytic mechanisms of La0.7Sr0.3Mn0.85Fe0.15O3 have been studied, It is not only a high efficient solar-driven photocatalyst, but also has Fenton -like catalytic properties, and both of them have synergistic catalytic effect. And those indicate that La0.7Sr0.3Mn0.85Fe0.15O3 is an advanced multi-functional catalyst. [ABSTRACT FROM AUTHOR]- Published
- 2021
- Full Text
- View/download PDF
23. Spatiotemporal shifts in key hydrological variables and dominant factors over China.
- Author
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Sun, Shanlei, Bi, Zaoying, Zhou, Shujia, Wang, Hongzhou, Li, Qingqing, Liu, Yi, Wang, Guojie, Li, Shijie, Chen, Haishan, and Zhou, Yang
- Subjects
POPULATION of China ,WATER distribution ,SURFACE dynamics ,HYDROLOGIC cycle ,WATER supply ,EVAPOTRANSPIRATION - Abstract
Quantitatively and physically understanding changes in land surface hydrology is a hot topic in the hydro‐meteorological research, especially over China with high population density but uneven distribution of water resources. Therefore, the spatiotemporal dynamics (i.e., the 1980s [1981–1990] and 1990s [1991–2000] relative to the baseline of 1961–1980) in evapotranspiration (ET) and streamflow/runoff (Q) were examined across 426 hydrological divisions (HDs) of China. Both the 1980s and 1990s ET decreased over roughly 50% HDs mainly in the central and southeast parts of China, while the 1980s (1990s) Q decreased over slightly higher than 50% (63%) HDs generally in north and southwest China (the central and north parts of China). Relative to the 1980s, more HDs had strong changes in ET and Q in 1990s. Based on the separated contributions of precipitation (P), reference ET and Budyko‐type equation parameter n (an integrated variable of catchment property) to ET and Q changes, we found that in 1980s and 1990s, n dominated ET changes over about 60% HDs mainly in the south, with the dominant of P around 35% HDs generally in the north and northeast, while for Q changes, nearly 60% (slightly less than 40%) HDs were dominated by n (P). Moreover, the dominants for ET (Q) changes have shifted from 1980s to 1990s over 36% (45%) HDs, mainly changing from P to n. This study provides a framework for quantitatively understanding land surface hydrological dynamics from the perspectives of climatic and physiographic controls over regions. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
24. Study of hardness and deformation of brittle materials with a density functional theory.
- Author
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Zhou, Shujia, Zhou, Xiangyang, and Zhao, Yusheng
- Subjects
- *
HARDNESS , *DEFORMATIONS (Mechanics) , *BRITTLENESS , *DENSITY functionals , *SURFACE energy - Abstract
We investigated controlling parameters of hardness in brittle materials by exploring the correlation between hardness and shear mode cracking. Density functional theory was used to calculate the unstable stacking energies (shear resistance to irreversible deformation) and the surface energies (tension resistance to fracture) for comparison. We found that both the unstable stacking energies and the surface energies had a monotonic relationship with hardness in Ge, Si, 3C-SiC, cBN, and diamond. In particular, both the relationship between hardness and the unstable stacking energy and the relationship between hardness and surface energy are better characterized as power law than linear relationships. Moreover, the surface energy has a better correlation with hardness than the unstable stacking energy. Both the theoretical stress for a crack to form and the stress intensity factor for a crack to propagate, which depend on surface energies, have better correlation with hardness than the stress intensity factor for a crack to emit a dislocation, which depends on unstable stacking energies. The implication of these results for fracture and deformation mechanism during hardness measurement is also discussed. [ABSTRACT FROM AUTHOR]
- Published
- 2008
- Full Text
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25. Spatiotemporal Differences in Dominants of Dryness/Wetness Changes in Southwest China.
- Author
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Zhou, Shujia, Sun, Shanlei, Shi, Wanrong, Wang, Jiazhi, Li, Jinjian, Wang, Guojie, and Lou, Weiping
- Subjects
- *
CLIMATE change , *RURAL development , *ATMOSPHERIC models , *METEOROLOGICAL precipitation - Abstract
A full analysis of 3-month Standardized Precipitation-Evapotranspiration index (SPEI-3) changes and attribution analyses are of significance for deeply understanding dryness/wetness evolutions and thus formulating specific measures to sustain regional development. In this study, we analyze monthly and annual SPEI-3 changes over Southwest China (SWC; including Sichuan (SC), Chongqing (CQ), Guizhou (GZ), Yunnan (YN), and west Guangxi (wGX)) during 1961–2012, using the SPEI model and routine meteorological measurements at 269 weather sites. For SWC and each subregion (excluding wGX), annual SPEI-3 during 1961–2012 tends to decrease, and drying is at most of months in January and September–December, but wetting is in February–August (excluding March for wGX). Additionally, more than 50% of sites show declined and increased SPEI-3 in January, April, June, and August–December and the remaining months, respectively. Except for wGX with dominant of ET0, annual SPEI-3 changes in SWC and other four subregions have dominant of precipitation. Spatially, annual SPEI-3 changes at 59% of sites are because of precipitation, generally located in southeast SC, south YN, CQ, GZ, and south and northeast wGX. Nevertheless, dominants at regional and site scales vary among months, e.g., SWC, SC, CQ, and GZ, having dominant of precipitation (ET0) during September–December (most of months during January–August), YN always with dominant of precipitation, and wGX with dominant of precipitation (ET0) in February–April and July–December (January, May, and June). Importantly, this study provides a reference for quantitatively evaluating spatiotemporal dryness/wetness variations with climate change, especially for regions with significant drying/wetting. [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
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26. Dependence of 3‐month Standardized Precipitation‐Evapotranspiration Index dryness/wetness sensitivity on climatological precipitation over southwest China.
- Author
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Sun, Shanlei, Chen, Haishan, Li, Jinjian, Wei, Jiangfeng, Wang, Guojie, Sun, Ge, Hua, Wenjian, Zhou, Shujia, and Deng, Peng
- Subjects
EVAPOTRANSPIRATION ,METEOROLOGICAL precipitation ,CLIMATOLOGY ,REMOTE sensing ,DROUGHTS - Abstract
In this study, we estimated the respective contributions of precipitation and reference evapotranspiration (ET
0 ) to annual SPEI‐3 (3‐month Standardized Precipitation‐Evapotranspiration Index) anomalies over southwest China (SWC) using numerical experiments. Results show that the dominant factor (i.e., precipitation or ET0 ) for the dryness/wetness anomalies during 1961–2012 existed due to inter‐annual and inter‐decadal changes over SWC, which indicates the underlying mechanisms of dry/wet conditions have changed. On the other hand, we calculate the dryness/wetness sensitivity to precipitation or ET0 (defined as changes in SPEI‐3 per millimetre) and find that the dryness/wetness sensitivity to ET0 is higher than that to precipitation for the whole SWC and the overwhelming majority (99%) of the 269 sites. Overall, the above findings imply that the role of ET0 in the dry/wet condition evolution is vital and should be paid more attentions. For the magnitude of the dryness/wetness sensitivity to precipitation or ET0 , an evident increase from the southeast to northwest SWC is identified. Based on the analyses of the relationship between dryness/wetness sensitivity and climatological condition (i.e., precipitation, ET0 , and aridity), the sensitivity magnitude is dependent on climatological precipitation and generally decreases with its increase. This study provides a wealth of quantitative information (e.g., dryness/wetness anomalies [sensitivity] caused by [to] precipitation and ET0 ) for better understanding the underlying mechanisms of the dry/wet condition evolution. [ABSTRACT FROM AUTHOR]- Published
- 2018
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- View/download PDF
27. Changes in reference evapotranspiration over China during 1960–2012: Attributions and relationships with atmospheric circulation.
- Author
-
Chai, Rongfan, Sun, Shanlei, Chen, Haishan, and Zhou, Shujia
- Subjects
EVAPOTRANSPIRATION ,WATER supply ,EVAPORATION (Meteorology) ,VAPOUR pressure measurement ,HYDROGEOLOGICAL modeling - Abstract
Abstract: This study investigates reference evapotranspiration (ET
0 ) trends in China from 1960 to 2012 based on the Penman–Monteith equation and gridded meteorological measurements. Under the combined impacts of factors influencing ET0 (i.e., net radiation [RN], mean temperature [TAVE], vapour pressure deficit [VPD], and wind speed [WND]), both seasonal and annual ET0 for the whole China and more than half of the grids decreased over the past 53 years. The attribution analyses suggest that for the whole China, the WND is responsible for annual and seasonal ET0 decreases (excluding summer, where RN is responsible). Across China, the annual cause of WND with the largest spatial extent (43.1% of grids) mainly derives from north of the Changjiang River Basin (CJRB), whereas VPD (RN) as a cause is dispersedly distributed (within and to the south of the CJRB). In summer, RN is dominant in more than half of the grids, but the dominance of VPD and WND accounts for approximately 90% of grids during the remaining seasons. Finally, the correlation coefficients between ET0 and the Atlantic Oscillation (AO), North AO, Indian Ocean Dipole (IOD), Pacific Decadal Oscillation (PDO), and El Niño Southern Oscillation (ENSO) indices with different lead times are calculated. For the whole China, annual and seasonal ET0 always significantly correlate with these indices (excluding the IOD) but with varied lead times. Additionally, near half of the grids show significant and maximum (i.e., the largest one between ET0 and a certain index with a lead time of 0–3 seasons) correlation coefficients of ET0 with PDO in spring and summer, ENSO in autumn, and AO in winter. This study is not only significant for understanding ET0 changes, but it also provides preliminary and fundamental reference information for ET0 prediction. [ABSTRACT FROM AUTHOR]- Published
- 2018
- Full Text
- View/download PDF
28. Intra‐annual differences of 3‐month Standardized Precipitation‐Evapotranspiration Index dryness/wetness sensitivity over southwest China.
- Author
-
Sun, Shanlei, Ren, Yongjian, Li, Qingqing, Zhou, Shujia, Zhao, Changyu, Chai, Rongfan, Deng, Peng, and Wang, Jie
- Subjects
EVAPOTRANSPIRATION ,DROUGHT forecasting ,CLIMATE research ,REGRESSION analysis ,AIR quality - Abstract
The monthly 3‐month Standardized Precipitation‐Evapotranspiration Index (SPEI‐3) over southwest China (SWC) shows obvious inter‐annual and inter‐decadal variability during 1961–2012. By examining the isolated contributions of precipitation and reference evapotranspiration (ET
0 ) alone to the monthly SPEI‐3 anomalies, we find out that although anomalous precipitation plays a predominant role, ET0 impacts cannot be neglected, particularly during February–May. The monthly dryness/wetness sensitivity to precipitation (Sp ; Set0 for ET0 ), that is, SPEI‐3 changes by per millimetre of precipitation (ET0 ) anomalies, is quantified as the slope of a linear regression, which has precipitation (ET0 ) contributions and anomalies during 1961–2012 as the dependent and the independent variables, respectively. Both SWC Sp and Set0 have evident intra‐annual differences, decreasing during February–August and increasing afterwards. Moreover, their magnitudes are dependent on climatological precipitation and generally decrease with precipitation increase. To sum up, the estimated respective contributions of monthly precipitation and ET0 anomalies are favourable for thoroughly understanding SWC dry/wet condition evolutions during the past 52 years. More importantly, Sp and Set0 are of significance for drought forecasting and emergency system over SWC. [ABSTRACT FROM AUTHOR]- Published
- 2018
- Full Text
- View/download PDF
29. The Impact of IBM Cell Technology on the Programming Paradigm in the Context of Computer Systems for Climate and Weather Models
- Author
-
Zhou, Shujia
- Subjects
IBM Cell processor ,climate model ,weather model ,Mathematics and Computing - Abstract
The call for ever-increasing model resolutions and physical processes in climate and weather models demands a continual increase in computing power. The IBM Cell processor's order-of-magnitude peak performance increase over conventional processors makes it very attractive to fulfill this requirement. However, the Cell's characteristics, 256KB local memory per SPE and the new low-level communication mechanism, make it very challenging to port an application. As a trial, we selected the solar radiation component of the NASA GEOS-5 climate model, which: (1) is representative of column physics components (half the total computational time), (2) has an extremely high computational intensity: the ratio of computational load to main memory transfers, and (3) exhibits embarrassingly parallel column computations. In this paper, we converted the baseline code (single-precision Fortran) to C and ported it to an IBM BladeCenter QS20. For performance, we manually SIMDize four independent columns and include several unrolling optimizations. Our results show that when compared with the baseline implementation running on one core of Intel's Xeon Woodcrest, Dempsey, and Itanium2, the Cell is approximately 8.8x, 11.6x, and 12.8x faster, respectively. Our preliminary analysis shows that the Cell can also accelerate the dynamics component (~;;25percent total computational time). We believe these dramatic performance improvements make the Cell processor very competitive as an accelerator.
- Published
- 2009
30. Visualization and Adaptive Subsetting of Earth Science Data in HDFS: A Novel Data Analysis Strategy with Hadoop and Spark.
- Author
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Yang, Xi, Liu, Si, Feng, Kun, Zhou, Shujia, and Sun, Xian-He
- Published
- 2016
- Full Text
- View/download PDF
31. A database-based distributed computation architecture with Accumulo and D4M: An application of eigensolver for large sparse matrix.
- Author
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Huang, Yin, Yesha, Yelena, and Zhou, Shujia
- Published
- 2015
- Full Text
- View/download PDF
32. Enabling scientific data storage and processing on big-data systems.
- Author
-
Biookaghazadeh, Saman, Xu, Yiqi, Zhou, Shujia, and Zhao, Ming
- Published
- 2015
- Full Text
- View/download PDF
33. A Hadoop-based visualization and diagnosis framework for earth science data.
- Author
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Zhou, Shujia, Yang, Xi, Li, Xiaowen, Matsui, Toshihisa, Liu, Si, Sun, Xian-He, and Tao, Weikuo
- Published
- 2015
- Full Text
- View/download PDF
34. PortHadoop: Support direct HPC data processing in Hadoop.
- Author
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Yang, Xi, Liu, Ning, Feng, Bo, Sun, Xian-He, and Zhou, Shujia
- Published
- 2015
- Full Text
- View/download PDF
35. A Scalable System for Community Discovery in Twitter During Hurricane Sandy.
- Author
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Huang, Yin, Dong, Han, Yesha, Yelena, and Zhou, Shujia
- Published
- 2014
- Full Text
- View/download PDF
36. Simulated Annealing Partitioning: An Algorithm for Optimizing Grouping in Cancer Data.
- Author
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Qi, Ran and Zhou, Shujia
- Published
- 2013
- Full Text
- View/download PDF
37. Social Media Data Analytics Applied to Hurricane Sandy.
- Author
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Dong, Han, Halem, Milton, and Zhou, Shujia
- Abstract
Social media websites are an integral part of many people's lives in delivering news and other emergency information. This is especially true during natural disasters. Furthermore, the role of social media websites is becoming more important due to the cost of recent natural disasters. These online platforms are usually the first to deliver emergency news to a wide variety of people due to the significantly large number of users registered. During disasters, extracting useful information from this pool of social media data can be useful in understanding the sentiment of the public, this information can then be used to improve decision making. In this paper, we developed a prototype that automates the process of collecting and analyzing social media data from Twitter. Furthermore, we explore a variety of visualizations that can be generated by the tool in order to understand the public sentiment. We demonstrate an example of utilizing this tool on the Hurricane Sandy disaster between October 26, 2012 to October 30, 2012. Finally, we perform a statistical analysis to explore the causality correlation between an approaching hurricane and the sentiment of the public. [ABSTRACT FROM PUBLISHER]
- Published
- 2013
- Full Text
- View/download PDF
38. A Generic Coupler for Earth System Models
- Author
-
Zhou, Shujia and Spahr, Joseph
- Published
- 2006
- Full Text
- View/download PDF
39. Cross-Platform OpenCL Code and Performance Portability Investigated with a Climate and Weather Physics Model.
- Author
-
Dong, Han, Ghosh, Dibyajyoti, Zafar, Fahad, and Zhou, Shujia
- Abstract
Current generation of multicore computing platforms are vastly different. Sustenance of many core applications across heterogenous platforms is a daunting task, more so when dynamic nature of the application is factored in. Open Computing Language (OpenCL) was created to address this issue. Designed to run on CPUs, GPUs, FPGAs and other platforms. OpenCL is becoming a standard for cross-platform parallel programming. While current implementations of OpenCL compiler provide the capability to compile and run on the platforms mentioned above, most of the current literatures investigate the OpenCL performance on GPUs. In a previous work, Fahad et al \citefahad01 reported how low level implicit auto vectorization capability of OpenCL allows remarkable performance optimization on CPUs. In this paper we present our investigation results on OpenCL portability across CPU and GPU platforms in terms of code and performance via a representative climate and weather physics model, NASA's GEOS-5 solar radiation model (SOLAR). A single OpenCL implementation portable between CPUs and GPUs has been obtained. Through algorithm refactoring, OpenCL's vector-oriented programming paradigm and implicit vectorization led to significant performance gains. [ABSTRACT FROM PUBLISHER]
- Published
- 2012
- Full Text
- View/download PDF
40. Analysis of nonlinear effects in RSOA-Based OFDM-PON.
- Author
-
Guo, Xiaochuan, Lin, Rujian, Tan, Yin, Zhou, Shujia, and Zhang, Jian
- Abstract
In this paper, a numerical investigation on the nonlinear distortion of OFDM (Orthogonal Frequency Division Multiplexed) signals caused by RSOA (Reflective Semiconductor Optical Amplifier) as an intensity modulator in OFDM-PON system is undertaken. Based on curve fitting approach a fourth order polynomial is, for the first time, used to present the nonlinear gain of RSOA. The expression of in-band and adjacent-band noise due to nonlinear distortion is then derived. Besides, the EVM of system versus input signal power is simulated by VPItransmissionmaker7.6, the results indicate the nonlinear effects-induced degradation of transmission performance depends highly on the third order term of nonlinear distortion power, and the optimum input signal power is provided to improve the transmission performance. Finally, it's worth mentioning that the quantified analysis method is applicable for the nonlinearity analysis of any RSOA-Based OFDM-PON system. [ABSTRACT FROM PUBLISHER]
- Published
- 2011
- Full Text
- View/download PDF
41. Analysis of modulator-induced higher-order harmonics influence on flat and stable optical comb generation based on re-circulating frequency shifter for all-optical OFDM.
- Author
-
Zhang, Lin, Song, Yingxiong, Zhou, Shujia, Li, Yingchun, Ye, Jiajun, and Lin, Rujian
- Abstract
The influence of higher-order harmonics produced in modulator on flat and stable optical comb generation based on re-circulating frequency shifter (RFS) for all-optical OFDM is analyzed and demonstrated in this paper. We also theoretically analyze the condition for flatness of the optical frequency comb. The resulting theoretical analysis is confirmed by a 16 comb lines and 12.5 GHz spacing RFS generation system. The results demonstrate that flat and stable optical comb generation based on RFS can be a useful solution for multi-wavelength source in all-optical OFDM. [ABSTRACT FROM PUBLISHER]
- Published
- 2011
- Full Text
- View/download PDF
42. Performance of optical OFDM transmission over RoF system with Mach-Zehnder modulator.
- Author
-
Zhou, Shujia, Song, Yingxiong, Tan, Yin, Zhang, Lin, Li, Yingchun, Ye, Jiajun, and Lin, Rujian
- Abstract
This paper is concerned with the effect of the nonlinearity of an MZM (Mach-Zehnder modulator) on optical OFDM signal distortion. The optical OFDM signal output from the MZM is expressed as a Taylor series including third-order and fifth-order nonlinear distortion terms, by which we can easily establish a mathematical model of the optical OFDM signals in different formats and rates. According to the model, we can get the EVM at the optimized point. Moreover, the proposed theoretical model is proved in good agreement with experiment results of the RoF (Radio over Fiber) system. [ABSTRACT FROM PUBLISHER]
- Published
- 2011
- Full Text
- View/download PDF
43. X10-enabled MapReduce.
- Author
-
Dong, Han, Zhou, Shujia, and Grove, David
- Published
- 2010
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- View/download PDF
44. Case study for running HPC applications in public clouds.
- Author
-
He, Qiming, Zhou, Shujia, Kobler, Ben, Duffy, Dan, and McGlynn, Tom
- Published
- 2010
- Full Text
- View/download PDF
45. Accelerating Climate and Weather Simulations Through Hybrid Computing.
- Author
-
Zhou, Shujia, Cruz, Carlos, Duffy, Daniel, Tucker, Robert, and Purcell, Mark
- Published
- 2010
- Full Text
- View/download PDF
46. Accelerating climate and weather simulations through hybrid computing.
- Author
-
Zhou, Shujia, Cruz, Carlos, Duffy, Daniel, Tucker, Robert, and Purcell, Mark
- Subjects
HYBRID computer simulation ,MULTICORE processors ,MESSAGE passing (Computer science) ,COMPUTER interfaces ,ETHERNET ,GIGABIT communications - Abstract
SUMMARY Unconventional multi- and many-core processors (e.g. IBM
® Cell B.E.TM and NVIDIA® GPU) have emerged as effective accelerators in trial climate and weather simulations. Yet these climate and weather models typically run on parallel computers with conventional processors (e.g. Intel® , AMD® , and IBM) using Message Passing Interface. To address challenges involved in efficiently and easily connecting accelerators to parallel computers, we investigated using IBM's Dynamic Application VirtualizationTM (IBM DAV) software in a prototype hybrid computing system with representative climate and weather model components. The hybrid system comprises two Intel blades and two IBM QS22 Cell B.E. blades, connected with both InfiniBand® (IB) and 1-Gigabit Ethernet. The system significantly accelerates a solar radiation model component by offloading compute-intensive calculations to the Cell blades. Systematic tests show that IBM DAV can seamlessly offload compute-intensive calculations from Intel blades to Cell B.E. blades in a scalable, load-balanced manner. However, noticeable communication overhead was observed, mainly due to IP over the IB protocol. Full utilization of IB Sockets Direct Protocol and the lower latency production version of IBM DAV will reduce this overhead. Copyright © 2011 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]- Published
- 2012
- Full Text
- View/download PDF
47. Cross-organization interoperability experiments of weather and climate models with the Earth System Modeling Framework.
- Author
-
Zhou, Shujia, Balaji, V., Cruz, Carlos, da Silva, Arlindo, Hill, Chris, Kluzek, Erik, Smithline, Shep, Trayanov, Atanas, and Yang, Weiyu
- Subjects
COMPUTER software ,WEATHER ,EARTH (Planet) ,COUPLINGS (Gearing) ,COMPUTERS ,SIMULATION methods & models - Abstract
Typical weather and climate models need a software tool to couple sub-scale model components. The high-performance computing requirements and a variety of model interfaces make the development of such a coupling tool very challenging. In this paper, we describe the approach of the Earth System Modeling Framework, in particular its component and coupling mechanism, and present the results of three cross-organization model interoperability experiments. [ABSTRACT FROM AUTHOR]
- Published
- 2007
- Full Text
- View/download PDF
48. Molecular dynamics of very large systems.
- Author
-
Lomdahl, Peter S., Beazley, David M., Zhou, Shujia, and Holian, Brad L.
- Published
- 1997
- Full Text
- View/download PDF
49. Phase Change Materials Application in Battery Thermal Management System: A Review.
- Author
-
Liu, Changcheng, Xu, Dengji, Weng, Jingwen, Zhou, Shujia, Li, Wenjuan, Wan, Yongqing, Jiang, Shuaijun, Zhou, Dechuang, Wang, Jian, and Huang, Que
- Subjects
PHASE transitions ,BATTERY management systems ,PHASE change materials ,HEAT storage devices ,CONSTRUCTION materials ,ENERGY density ,FINS (Engineering) - Abstract
The purpose of a battery thermal management system (BTMS) is to maintain the battery safety and efficient use as well as ensure the battery temperature is within the safe operating range. The traditional air-cooling-based BTMS not only needs extra power, but it could also not meet the demand of new lithium-ion battery (LIB) packs with high energy density, while liquid cooling BTMS requires complex devices to ensure the effect. Therefore, phase change materials (PCMs)-based BTMS is becoming the trend. By using PCMs to absorb heat, the temperature of a battery pack could be kept within the normal operating range for a long time without using any external power. PCMs could greatly improve the heat dissipation efficiency of BTMS by combining with fillers such as expanded graphite (EG) and metal foam for their high thermal conductivity or coordinating with fins. In addition, PCMs could also be applied in construction materials, solar thermal recovery, textiles and other fields. Herein, a comprehensive review of the PCMs applied in thermal storage devices, especially in BTMS, is provided. In this work, the literature concerning current issues have been reviewed and summarized, while the key challenges of PCM application have been pointed out. This review may bring new insights to the PCM application. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
50. Capacity of Satellite-Based and Reanalysis Precipitation Products in Detecting Long-Term Trends across Mainland China.
- Author
-
Sun, Shanlei, Shi, Wanrong, Zhou, Shujia, Chai, Rongfan, Chen, Haishan, Wang, Guojie, Zhou, Yang, and Shen, Huayu
- Subjects
RAIN gauges ,WATER supply ,REGIONAL differences ,STATISTICAL correlation - Abstract
Despite numerous assessments of satellite-based and reanalysis precipitation across the globe, few studies have been conducted based on the precipitation linear trend (LT), particularly during daytime and nighttime, when there are different precipitation mechanisms. Herein, we first examine LTs for the whole day (LT
wd ), daytime (LTd ), and nighttime (LTn ) over mainland China (MC) in 2003–2017, with sub-daily observations from a dense rain gauge network. For MC and ten Water Resources Regions (WRRs), annual and seasonal LTwd , LTd , and LTn were generally positive but with evident regional differences. Subsequently, annual and seasonal LTs derived from six satellite-based and six reanalysis popular precipitation products were evaluated using metrics of correlation coefficient (CC), bias, root-mean-square-error (RMSE), and sign accuracy. Finally, metric-based optimal products (OPs) were identified for MC and each WRR. Values of each metric for annual and seasonal LTwd , LTd , or LTn differ among products; meanwhile, for any single product, performance varied by season and time of day. Correspondingly, the metric-based OPs varied among regions and seasons, and between daytime and nighttime, but were mainly characterized by OPs of Tropical Rainfall Measuring Mission (TRMM) 3B42, ECMWF Reanalysis (ERA)-Interim, and Modern Era Reanalysis for Research and Applications (MERRA)-2. In particular, the CC-based (RMSE-based) OPs in southern and northern WRRs were generally TRMM3B42 and MERRA-2, respectively. These findings imply that to investigate precipitation change and obtain robust related conclusions using precipitation products, comprehensive evaluations are necessary, due to variation in performance within one year, one day and among regions for different products. Additionally, our study facilitates a valuable reference for product users seeking reliable precipitation estimates to examine precipitation change across MC, and an insight (i.e., capacity in detecting LTs, including daytime and nighttime) for developers improving algorithms. [ABSTRACT FROM AUTHOR]- Published
- 2020
- Full Text
- View/download PDF
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