World Library  


 
  • Cover Image

Chaotic Behavior in the Flow Along a Wedge Modeled by the Blasius ...

By: B. Basu; A. S. Sharma; E. Foufoula-georgiou

Description: Department of Civil Engineering, University of Minnesota, Minneapolis, MN 55414, USA. The Blasius equation describes the properties of steady-state two dimensional boundary layer forming over a semi-infinite plate parallel to a unidirectional flow field. The flow is governed by a modified Blasius equation when the surface is aligned along the flow. In this paper, we demonstrate using numerical solution, that as the wedge angle increases, bifurcation occ...

Schwartz, L. W. and Eley, R. R.: Flow of architectural coatings on complex surfaces theory and experiment, J. Eng. Math., 43, 153–171, 2002.; Adomian, G.: A review of the decomposition method in applied mathematics, J. Math. Anal. Appl., 135, 501–544, doi:10.1016/0022-247X(88)90170-9, 1988.; Adomian, G.: A review of the decomposition method and some recent results for nonlinear equations, Comput. Math. Appl., 21(...

Read More
  • Cover Image

The Effect of Upstream Turbulence and Its Anisotropy on the Effici...

By: Z. Vörös; J. Šimkanin; D. Jankovičová

Description: Institute of Atmospheric Physics, Academy of Sciences of the Czech Republic, Prague, Czech Republic. The importance of space weather and its forecasting is growing as interest in studying geoeffective processes in the Sun – solar wind – magnetosphere – ionosphere coupled system is increasing. This paper introduces the proper selection criteria for solar wind magnetic turbulence events during duskward electric field and southward Bz dri...

Borovsky, J. E. and Funsten, H. O.: Role of solar wind turbulence in the coupling of the solar wind to the Earth's magnetosphere, J. Geophys. Res., 108(A6), 1246, doi:10.1029/2002JA009601, 2003.; Bruno, R. and Carbone, V.: The solar wind as a turbulence laboratory, Living Rev. Solar Phys., 4, 1–186, 2005.; Burlaga, L. F.: Intermittent turbulence in the solar wind, J. Geophys. Res., 96, 5847–5851, 1991.; Burlaga, L. F. and Forman, M. A.: Large-scale speed fluctuations at ...

Read More
  • Cover Image

Dromion Solutions for Nonlinear Electron Acoustic Waves in Space P...

By: G. S. Lakhina; A. Sen; S. S. Ghosh

Description: Indian Institute of Geomagnetism, Dr. Nanabhai Moos Marg, Colaba, Mumbai, 400 005, India. Recent high resolution measurements of POLAR and FAST satellites have revealed two-dimensional coherent structures in the polar cap boundary layer (PCBL) region. Since the ion temperature is often observed to be greater than the electron temperature in this region, electron acoustic waves can exist as a normal mode of the plasma system. It is shown t...

Read More
  • Cover Image

Provision of Boundary Conditions for a Convection-permitting Ensem...

By: T. Paccagnella; A. Montani; C. Marsigli

Description: ARPA-SIMC, HydroMeteoClimate Service of ARPA Emilia-Romagna, Bologna, Italy. The current resolution of the operational global models favours the possibility of driving convection-permitting limited-area model (LAM) simulations directly, sparing the necessity for an intermediate step with a coarser-resolution LAM. Though the resolution of global ensemble systems is generally lower than that of deterministic ones, it is also possible to consider this oppo...

Amengual, A., Romero, R., Homar, V., Ramis, C., and Alonso, S.: Impact of the lateral boundary conditions resolution on dynamical downscaling of precipitation in mediterranean Spain, Clim. Dynam., 29, 487–499, doi:10.1007/s00382-007-0242-0, 2007.; Buizza, R., Houtekamer, P. L.,Toth, Z.,Pellerin, G., Wei, M., and Zhu, Y.: A Comparison of the ECMWF, MSC, and NCEP Global Ensemble Prediction Systems, Mon. Weather Rev., ...

Read More
  • Cover Image

On the Entrainment Coefficient in a Forced Plume: Quantitative Eff...

By: A. Tarquis; P. López; J. M. Redondo; A. Matulka

Description: Department of Applied Physics, UPC, Barcelona, Spain. The behavior of a forced plume is mainly controlled by the source buoyancy and momentum fluxes and the efficiency of turbulent mixing between the plume and the ambient fluid (stratified or not). The interaction between the plume and the ambient fluid controls the plume dynamics and is usually represented by the entrainment coefficient ΑE. Commonly used one-dimensional models incorporating ...

Carazzo, G., Kaminski, E., and Tait, S.: The route to self-similarity in turbulent jets and plumes, J. Fluid. Mech., 547, 137–148, 2006.; Carazzo, G., Kaminski, E., and Tait, S.: On the rise of turbulent plumes: Quantitative effects of variable entrainment for submarine hydrothermal vents, terrestrial and extra terrestrial explosive volcanism, J. Geophys. Res., 113, 1–19, 2008.; Fischer, H. B., List, E. J., Koh, R. C., Imberger, J., and Brooks, N. H.: Mixing in inland an...

Read More
  • Cover Image

Cross Wavelet Analysis: Significance Testing and Pitfalls : Volume...

By: J. Kurths; D. Maraun

Description: Department of Physics, Potsdam University, D-14415 Potsdam, Germany. In this paper, we present a detailed evaluation of cross wavelet analysis of bivariate time series. We develop a statistical test for zero wavelet coherency based on Monte Carlo simulations. If at least one of the two processes considered is Gaussian white noise, an approximative formula for the critical value can be utilized. In a second part, typical pitfalls of wavelet cross sp...

Read More
  • Cover Image

Scaling Properties of Paleomagnetic Reversal Sequence : Volume 3, ...

By: S. S. Ivanov

Description: Department of Geophysics, P.P. Shirshov Institute of Oceanology, Russian Academy of Sciences, 23, Krasikova St., 117218. The history of reversals of main geomagnetic field during last 160 My is analyzed as a sequence of events, presented as a point set on the time axis. Different techniques were applied including the method of boxcounting, dispersion counter-scaling, multifractal analysis and examination of attracto...

Read More
  • Cover Image

Spectral Diagonal Ensemble Kalman Filters : Volume 2, Issue 1 (27/...

By: J. Mandel; M. Vejmelka; I. Kasanický

Description: Institute of Computer Science, Academy of Sciences of the Czech Republic, Prague, Czech Republic. A new type of ensemble Kalman filter is developed, which is based on replacing the sample covariance in the analysis step by its diagonal in a spectral basis. It is proved that this technique improves the aproximation of the covariance when the covariance itself is diagonal in the spectral basis, as is the case, e.g., for a second-order stationary rand...

Anderson, B. D. O. and Moore, J. B.: Optimal Filtering, Prentice-Hall, Englewood Cliffs, NJ, 1979.; Anderson, J. L.: An ensemble adjustment Kalman filter for data assimilation, Mon. Weather Rev., 129, 2884–2903, doi:2.0.CO;2>10.1175/1520-0493(2001)129<2884:AEAKFF>2.0.CO;2, 2001.; Beezley, J. D., Mandel, J., and Cobb, L.: Wavelet ensemble Kalman filters, in: Proceedings of IEEE IDAACS'2011, Prague, 15–17...

Read More
  • Cover Image

Using Ensemble Data Assimilation to Forecast Hydrological Flumes :...

By: T. Kauranne; A. Bibov; Z. Mussa; I. Amour

Description: Lappeenranta University of Technology, Lappeenranta, Finland. Data assimilation, commonly used in weather forecasting, means combining a mathematical forecast of a target dynamical system with simultaneous measurements from that system in an optimal fashion. We demonstrate the benefits obtainable from data assimilation with a dam break flume simulation in which a shallow-water equation model is complemented with wave meter measurements. Data assimilatio...

Aliparast, M.: Two-dimensional finite volume method for dam-break flow simulation, Int. J. Sediment Res., 24, 99–107, 2009.; Auvinen, H., Bardsley, J., Haario, H., and Kauranne, T.: The variational Kalman filter and an efficient implementation using limited memory BFGS, Int. J. Numer. Meth. Fl., 64, 314–335, 2009.; Baghlani, A.: Simulation of dam-break problem by a robust flux-vector splitting approach in Cartesian grid, Scientia Iranica, 18, 1061–1068, 2011.; Barcena, J...

Read More
  • Cover Image

The Comparative Study of Chaoticity and Dynamical Complexity of th...

By: I. A. Fuwape; J. A. Laoye; A. B. Rabiu; B. O. Ogunsua

Description: Space Physics Laboratory, Department of Physics, Federal University of Technology, Akure, Nigeria. The deterministic chaotic behavior and dynamical complexity of the space plasma dynamical system over Nigeria are analyzed in this study and characterized. The study was carried out using GPS (Global Positioning System) TEC (Total Electron Content) time series, measured in the year 2011 at three GPS receiver stations within Nigeria, which lies within the ...

Abdu, M. A.: Major Phenomena of the equatorial ionosphere thermosphere system under disturbed conditions, J. Atmos. Solar-Terr. Phys., 59, 1505–1519, 1997.; Anastasiadis, A., Costa, L., Gonzales, C., Honey, C., Szeliga, M., and Terhesiu, D.: Measures of Structural Complexity in Networks, in: Complex Systems Summer School 2005, Santa Fe, 2005.; Balan, N. and Rao, P. B.: Latitudinal variations of nighttime enhancements in total electron content, J. Geophys. Res., 92, 3436–...

Read More
  • Cover Image

Trend Analysis Using Non-stationary Time Series Clustering Based o...

By: M. Gorji Sefidmazgi; A. Homaifar; S. Liess; M. K. Jha; M. Sayemuzzaman

Description: North Carolina A&T State University, Dept. of Electrical Engineering, Greensboro, USA. In order to analyze low-frequency variability of climate, it is useful to model the climatic time series with multiple linear trends and locate the times of significant changes. In this paper, we have used non-stationary time series clustering to find change points in the trends. Clustering in a multi-dimensional non-stationary time series is challenging, since the pr...

Aster, R. C. and Thurber, C. H.: Parameter estimation and inverse problems, Academic Press, Waltham, MA, 2012.; Beaulieu, C., Chen, J., and Sarmiento, J. L.: Change-point analysis as a tool to detect abrupt climate variations, Philos. Trans. R. Soc. Math. Phys. Eng. Sci., 370, 1228–1249, 2012a.; Beaulieu, C., Sarmiento, J. L., Mikaloff Fletcher, S. E., Chen, J., and Medvigy, D.: Identification and characterization of abrupt changes in the land uptake of carbon, Glob. Bio...

Read More
  • Cover Image

On the Data-driven Inference of Modulatory Networks in Climate Sci...

By: G. A. Bello; M. P. Angus; I. K. Tetteh; N. F. Samatova; S. Srinivas; K. Padmanabhan; S. V. Pendse; F. Semazzi; J. Yu; D. L. González II; V. Kumar

Description: North Carolina State University, Raleigh, North Carolina 27695-8206, USA. Decades of hypothesis-driven and/or first-principles research have been applied towards the discovery and explanation of the mechanisms that drive climate phenomena, such as western African Sahel summer rainfall variability. Although connections between various climate factors have been theorized, not all of the key relationships are fully understood. We propose a data-driven appr...

Agrawal, R. and Srikant, R.: Fast algorithms for mining association rules in large databases, in: VLDB 1994, 487–499, 1994.; Agrawal, R., Imieli\'nski, T., and Swami, A.: Mining association rules between sets of items in large databases, Sigmod Record, 22, 207–216, 1993.; Bailey, T. L. and Gribskov, M.: Combining evidence using p-values: application to sequence homology searches, Bioinformatics, 14, 48–54, doi:10.1...

Read More
  • Cover Image

Atmospheric Gravity Waves in the Red Sea: a New Hotspot : Volume 1...

By: I. B. Araújo; J. C. B. Da Silva; J. Pineda; J. M. Magalhaes; K. Davis; R. H. J. Grimshaw

Description: Centro de Oceanografia and Departamento de Engenharia Geográfica, Geofísica e Energia (DEGGE), Faculdade de Ciências da Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal. The region of the Middle East around the Red Sea (between 32° E and 44° E longitude and 12° N and 28° N latitude) is a currently undocumented hotspot for atmospheric gravity waves (AGWs). Satellite imagery shows evidence that this region is prone to relatively high occurren...

Alpers, W.: Theory of radar imaging of internal waves, Nature, 314, 245–247, 1985.; Alpers, W. and Stilke, G.: Observations of a nonlinear wave disturbance in marine atmosphere by synthetic aperture radar aboard the ERS 1 satellite, J. Geophys. Res., 101, 6512–6525, 1996.; Bedard, A. J., Canavero, F., and Einaudi, F.: Atmospheric gravity waves and aircraft turbulence encounters, J. Atmos. Sci., 43(23), 2838–2844, 1986.; Christie, D. R.: Long nonlinear waves in the lower ...

Read More
  • Cover Image

Complex Behaviour and Predictability of the European Dry Spell Reg...

By: C. Serra; A. Burgueño; X. Lana; M. D. Martínez

Description: Departament de Física i Enginyeria Nuclear, Universitat Politècnica de Catalunya, Barcelona, Spain. The complex spatial and temporal characteristics of European dry spell lengths, DSL, (sequences of consecutive days with rainfall amount below a certain threshold) and their randomness and predictive instability are analysed from daily pluviometric series recorded at 267 rain gauges along the second half of the 20th century. DSL are obtained by considering...

Burgueño, A., Martínez, M. D., Lana, X., and Serra, C.: Statistical distribution of the daily rainfall regime in Catalonia (NE Spain) for the years 1950–2000, Int. J. Climatol., 25, 1381–1403, 2005.; Cohen, A. and Procaccia, I.: Estimation of Kolmogorov entropy from time signals of dissipative and conservative dynamical systems, Phys. Rev. A, 31, 1872–1882, 1983.; Diks, C.: Nonlinear Time Series Analysis. Methods and Applications, in: Nonlinear Time Series and Chaos (4),...

Read More
  • Cover Image

Flash-flood Forecasting by Means of Neural Networks and Nearest Ne...

By: J. J. Napiórkowski; P.M. Rowiński; A. Piotrowski

Description: Institute of Geophysics, Polish Academy of Sciences, Warsaw, Poland. In this paper, Multi-Layer Perceptron and Radial-Basis Function Neural Networks, along with the Nearest Neighbour approach and linear regression are utilized for flash-flood forecasting in the mountainous Nysa Klodzka river catchment. It turned out that the Radial-Basis Function Neural Network is the best model for 3- and 6-h lead time prediction and the only reliable one for 9-h lead ...

Box, G. E. P. and Jenkins, G. M.: Time Series Analysis: Forecasting and Control, Holden-Day, London, UK, 1970.; Brath, A., Montanari, A., and Toth, E.: Neural networks and non-parametric methods for improving real-time flood forecasting through conceptual hydrological models, Hydrol. Earth Syst. Sci., 6(4), 627–640, 2002.; Giustolisi, O. and Laucelli, D.: Improving generalization of artificial neural networks in rainfall-runoff modelling, Hydrol. Sci. J., 50(3), 439–457,...

Read More
  • Cover Image

Corrigendum to Nonlinear Dynamics Approach to the Predictability o...

By: B. Kirtman; L. Siqueira

Description: Rosenstiel School of Marine and Atmospheric Science, University of Miami, Miami, USA. No abstract available.

Read More
  • Cover Image

Whistler Oscillitons Revisited: the Role of Charge Neutrality? : V...

By: K. Sauer; J. F. McKenzie; T. Cattaert; F. Verheest; E. Dubinin

Description: Sterrenkundig Observatorium, Universiteit Gent, Krijgslaan 281, 9000 Gent, Belgium. When studying transverse modes propagating parallel to a static magnetic field, an apparent contradiction arises between the weakly nonlinear results obtained from the derivative nonlinear Schrödinger equation, predicting envelope solitons (where the amplitude is stationary in the wave frame, but the phase is not), and recent results for whistler oscillitons, indicating ...

Read More
  • Cover Image

The Use of Artificial Neural Networks to Analyze and Predict Along...

By: K. R. Bryan; G. Coco; B. G. Ruessink; B. Van Maanen

Description: National Institute of Water and Atmospheric Research (NIWA), P.O. Box 11-115, Hamilton, New Zealand. An artificial neural network (ANN) was developed to predict the depth-integrated alongshore suspended sediment transport rate using 4 input variables (water depth, wave height and period, and alongshore velocity). The ANN was trained and validated using a dataset obtained on the intertidal beach of Egmond aan Zee, the Netherlands. Root-mean-square deviati...

Bailard, J. A.: An energetics total load sediment transport model for a plane sloping beach, J. Geophys. Res., 86, 10938–10954, 1981.; Benítez, J. M., Castro, J. L., and Requena, I.: Are artifical neural networks black boxes?, IEEE Transactions on Neural Networks, 8, 1156–1164, 1997.; Bayram, A., Larson, M., Miller, H. C., and Kraus, N. C.: Cross-shore distribution of longshore sediment transport: comparison between predictive formulas and field measurements, Coast. Eng....

Read More
  • Cover Image

Stability and Nonlinear Regimes of Flow Over a Saturated Porous Me...

By: D. T. Baydina; D. V. Lyubimov; T. P. Lyubimova

Description: Institute of Continuous Media Mechanics, Ural Branch of RAS, Perm, Russia. The paper deals with the investigation of stability and nonlinear regimes of flow over the saturated porous medium applied to the problem of stability of water flow over the bottom covered with vegetation. It is shown that the velocity profile of steady plane-parallel flow has two inflection points, which results in instability of this flow. The neutral stability curves, the depe...

Chang, M. H., Chen, F., and Straughan, B.: Instability of Poiseuille flow in a fluid overlying a porous layer, J. Fluid Mech., 564, 287–303, doi:10.1017/S0022112006001583, 2006.; Chen, F. and Chen, C. F.: Onset of finger convection in a horizontal porous layer underlying a fluid layer, Heat Transf., 110, 403–409, doi:10.1115/1.3250499, 1988.; Ghisalberti, M. and Nepf, ...

Read More
  • Cover Image

Bayesian Neural Network Modeling of Tree-ring Temperature Variabil...

By: S. Maiti; R. K. Tiwari

Description: National Geophysical Research Institute (CSIR), Hyderabad-500007, India. A novel technique based on the Bayesian neural network (BNN) theory is developed and employed to model the temperature variation record from the Western Himalayas. In order to estimate an a posteriori probability function, the BNN is trained with the Hybrid Monte Carlo (HMC)/Markov Chain Monte Carlo (MCMC) simulations algorithm. The efficacy of the new algorithm is tested on the we...

Andrieu, C., de Freitas, N., Doucet, A., and Jordan, M.: An introduction to MCMC for machine learning, Mach. Learn., 50, 5–43, 2003.; Bishop, C. M.: Neural networks for pattern recognition, Oxford University Press, 1995.; Blanco, J. A., Seely, B., Welham, C., Kimmins, J. P., and Seebacher, T. M.: Testing the performance of FORECAST, a forest ecosystem model, against 29 years of field data in a Pseudotsuga menziesii plantation, Can. J. Forest Res., 37, 1808–1820, 2007.; B...

Read More
 
1
|
2
|
3
Records: 1 - 20 of 45 - Pages: 



Copyright © World Library Foundation. All rights reserved. eBooks from Hawaii eBook Library are sponsored by the World Library Foundation,
a 501c(4) Member's Support Non-Profit Organization, and is NOT affiliated with any governmental agency or department.