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  • 1
    Online Resource
    Online Resource
    Cambridge :Cambridge University Press,
    Keywords: Geophysics--Fluid models. ; Electronic books.
    Description / Table of Contents: Geophysical fluid dynamics illustrates the rich interplay between mathematical analysis, nonlinear dynamics, statistical theories, qualitative models and numerical simulations. This self-contained introduction will suit a multi-disciplinary audience ranging from beginning graduate students to senior researchers. It is the first book following this approach and contains many recent ideas and results.
    Type of Medium: Online Resource
    Pages: 1 online resource (565 pages)
    Edition: 1st ed.
    ISBN: 9780511167584
    DDC: 550
    Language: English
    Note: Cover -- Half-title -- Title -- Copyright -- Contents -- Preface -- 1 Barotropic geophysical flows and two-dimensional fluid flows: elementary introduction -- 1.1 Introduction -- 1.2 Some special exact solutions -- Fourier series tool kit -- 1.2.1 Exact solutions for the Euler equations -- 1.2.2 Exact solutions with beta-effect and generalized Kolmogorov forcing -- 1.2.3 Rossby waves -- 1.2.4 Topographic effect in steady states -- 1.2.5 A dynamical solution with beta-plane and layered topography -- 1.2.6 Beta-plane dynamics with large-scale shear flow -- A test problem for dissipative mechanisms -- 1.3 Conserved quantities -- 1.3.1 Conservation of energy -- Conservation of energy for periodic flows -- 1.3.2 Large-scale and small-scale flow interaction via topography -- 1.3.3 Infinite number of conserved quantities - generalized enstrophy -- 1.3.4 Several conserved quantities -- 1.3.5 Summary of conserved quantities: periodic geometry -- 1.4 Barotropic geophysical flows in a channel domain - an important physical model -- 1.4.1 The impulse and conserved quantities -- 1.4.2 Conservation of circulation -- 1.4.3 Summary of conserved quantities: channel geometry -- 1.5 Variational derivatives and an optimization principle for elementary geophysical solutions -- 1.5.1 Some important variational derivatives -- 1.5.2 An optimization principle for elementary geophysical solutions -- 1.6 More equations for geophysical flows -- 1.6.1 The models -- 1.6.2 Relationships between various models -- Derivation of the barotropic one-layer model from the continuously stratified model -- Derivation of the two-layer model from the continuously stratified model -- Derivation of the one- and one-half-layer model from the two-layer model -- Derivation of the barotropic quasi-geostrophic model from the F-plane model -- References -- 2 The response to large-scale forcing. , 2.1 Introduction -- A remarkable identity -- 2.2 Non-linear stability with Kolmogorov forcing -- 2.2.1 Non-linear stability in restricted sense -- 2.2.2 Finite-dimensional dynamics on the ground modes and non-linear stability -- Fourier representation for the dynamic equations -- 2.2.3 Counter-example of unstable ground state modes dynamics for truncated inviscid flows -- 2.3 Stability of flows with generalized Kolmogorov forcing -- References -- 3 The selective decay principle for basic geophysical flows -- 3.1 Introduction -- 3.2 Selective decay states and their invariance -- 3.3 Mathematical formulation of the selective decay principle -- The Rossby waves degenerate into generalized Taylor vortices in the absence of the geophysical beta-plane effect. -- 3.4 Energy-enstrophy decay -- 3.5 Bounds on the Dirichlet quotient, A (t) -- 3.6 Rigorous theory for selective decay -- 3.6.1 Convergence to an asymptotic state -- 3.6.2 Convergence to the selective decay state -- 3.6.3 Stability of the selective decay states -- 3.6.4 Underlying simplifying mechanisms -- 3.7 Numerical experiments demonstrating facets of selective decay -- 3.7.1 Measure of anisotropy -- 3.7.2 Explicit solutions of the sinh-Poisson equation -- 3.7.3 Numerical examples -- References -- Appendix 1 Stronger controls on A (t) -- Appendix 2 The proof of the mathematical form of the selective decay principle in the presence of the beta-plane effect -- 4 Non-linear stability of steady geophysical flows -- 4.1 Introduction -- 4.2 Stability of simple steady states -- 4.2.1 Non-linear stability and the energy method -- 4.2.2 Simple states with topography, but no mean flow or beta-effect -- 4.2.3 Simple states with topography, mean flow, and beta-effect -- 4.3 Stability for more general steady states -- 4.4 Non-linear stability of zonal flows on the beta-plane. , 4.5 Variational characterization of the steady states -- References -- 5 Topographic mean flow interaction, non-linear instability, and chaotic dynamics -- 5.1 Introduction -- 5.2 Systems with layered topography -- 5.2.1 Hamiltonian structure -- 5.3 Integrable behavior -- 5.3.1 The case h = 0 -- 5.3.2 The case Beta = 0 -- 5.3.3 Single mode topography -- 5.4 A limit regime with chaotic solutions -- 5.4.1 Single mode topography -- 5.4.2 Interaction of non-linear resonances -- 5.4.3 Two modes in the topography: a perturbative Melnikov analysis -- 5.5 Numerical experiments -- 5.5.1 Perturbation of single mode topography -- 5.5.2 Two-mode layered topography and topographic blocking events -- 5.5.3 Random perturbations with multi-mode topography -- 5.5.4 Symmetry breaking perturbations and topographic blocking events -- References -- Appendix 1 -- Appendix 2 -- 6 Introduction to information theory and empirical statistical theory -- 6.1 Introduction -- 6.2 Information theory and Shannon's entropy -- 6.3 Most probable states with prior distribution -- 6.4 Entropy for continuous measures on the line -- 6.4.1 Continuous measure on the line -- 6.4.2 Entropy and maximum entropy principle -- 6.4.3 Coarse graining and loss of information -- 6.4.4 Relative entropy as a "distance" function -- 6.4.5 Information theory and the finite-moment problem for probability measures -- 6.5 Maximum entropy principle for continuous fields -- 6.6.1 The Prior distribution -- 6.6.2 Constraints on the potential vorticity distribution -- 6.6.3 Statistical predictions of the maximum entropy principle -- 6.6.4 Determination of the multipliers and geophysical effect -- 6.7 Application of the maximum entropy principle to geophysical flows with topography and mean flow -- 6.7.1 One-point statistics for potential vorticity and large-scale mean velocity and Shannon entropy. , 6.7.2 The constraints on the one-point statistics -- 6.7.3 Maximum entropy principle and statistical prediction -- 6.7.4 Determination of the multipliers and geophysical effects -- References -- 7 Equilibrium statistical mechanics for systems of ordinary differential equations -- 7.1 Introduction -- 7.2 Introduction to statistical mechanics for ODEs -- 7.2.1 The Liouville property -- 7.2.2 Evolution of probability measures and the Liouville equation -- 7.2.3 Conserved quantities and their ensemble averages -- 7.2.4 Shannon entropy and the maximum entropy principle -- 7.2.5 The most probable state and Gibbs measure -- 7.2.6 Ergodicity and time averaging -- 7.2.7 A simple example violating the Liouville property -- 7.3 Statistical mechanics for the truncated Burgers-Hopf equations -- 7.3.1 The truncated Burgers-Hopf systems and their conserved quantities -- 7.3.2 The Liouville property -- 7.3.3 The Gibbs measure and the prediction of equipartition of energy -- 7.3.4 Numerical evidence of the validity of the statistical theory -- 7.3.5 Truncated Burgers-Hopf equation as a model with statistical features in common with atmosphere -- A scaling theory for temporal correlations -- Numerical evidence for the correlation scaling theory -- 7.4 The Lorenz 96 model -- 7.4.1 Geophysical properties of the Lorenz 96 model -- Rossby waves -- 7.4.2 Equilibrium statistical theory for the undamped unforced L-96 model -- 7.4.3 Statistical properties of the damped forced and undamped unforced L96 models -- Rescaling the damped forced L96 model -- Linear stability of the mean state -- The bulk behavior of the rescaled problem -- The climatology of different forcing regimes in rescaled coordinates -- References -- 8 Statistical mechanics for the truncated quasi-geostrophic equations -- 8.1 Introduction -- 8.2 The finite-dimensional truncated quasi-geostrophic equations. , 8.2.1 The spectrally truncated quasi-geostrophic equations -- 8.2.2 Conserved quantities for the truncated system -- 8.2.3 Non-linear stability of some exact solutions the truncated system -- 8.2.4 The Liouville property -- 8.3 The statistical predictions for the truncated systems -- 8.4 Numerical evidence supporting the statistical prediction -- 8.5 The pseudo-energy and equilibrium statistical mechanics for fluctuations about the mean -- 8.6 The continuum limit -- 8.6.1 The case with a large-scale mean flow -- 8.6.2 The case without large-scale mean flow but with generic topography -- 8.6.3 The case with no geophysical effects -- 8.6.4 The case with no large-scale mean flow but with topography having degenerate spectrum -- High energy subcase -- 8.7 The role of statistically relevant and irrelevant conserved quantities -- References -- Appendix 1 -- 9 Empirical statistical theories for most probable states -- 9.1 Introduction -- 9.2 Empirical statistical theories with a few constraints -- 9.2.1 The energy-circulation empirical theory with a general prior distribution -- 9.2.2 The energy-circulation impulse theory with a general prior distribution -- 9.3 The mean field statistical theory for point vortices -- 9.3.1 Derivation of the mean field point-vortex theory from an empirical statistical theory -- 9.3.2 Complete statistical mechanics for point vortices -- The dynamics of point vortices in the plane -- Liouville property -- The mean field limit equations as N … -- 9.4 Empirical statistical theories with infinitely many constraints -- 9.4.1 Maximum entropy principle incorporating all generalized enstrophies -- 9.4.2 The most probable state and the mean field equation -- 9.5 Non-linear stability for the most probable mean fields -- References. , 10 Assessing the potential applicability of equilibrium statistical theories for geophysical flows: an overview.
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  • 2
    Publication Date: 2014-05-04
    Description: Purpose To investigate the diffusion abnormalities in the brain of children with idiopathic generalized epilepsy (IGE) with generalized tonic-clonic seizure (GTCS) by using diffusion kurtosis imaging (DKI). Materials and Methods Twenty-one IGE children with GTCS and 16 controls were recruited. DKI was performed and maps of radial diffusivity (λ ⊥ ), axial diffusivity (λ // ), mean diffusivity (MD), fractional anisotropy (FA), radial kurtosis (K ⊥ ), axial kurtosis (K // ) and mean kurtosis (MK) were calculated. Voxel-based analyses were employed to compare diffusion metrics in epilepsy versus the controls. Results In the case group, MD was found significantly higher in the right temporal lobe, the right occipital lobe, hippocampus, and some subcortical regions, while FA increased in bilateral supplementary motor area and the left superior frontal lobe (false discovery rate corrected P  〈 0.05). Analysis of λ ⊥ and λ // showed that the increased MD was mainly due to the elevated λ // . Significantly decreased MK was also detected in bilateral temporo-occipital regions, the right hippocampus, the left insula, the left post-central area, and some subcortical regions (false discovery rate corrected P  〈 0.05). In most regions the changed MK were due to the decreased K // . Conclusion The kurtosis parameters (K ⊥ , K // , and MK) reflect different microstructural information in the IGE children with GTCS, and this support the value of DKI in studying children GTCS. J. Magn. Reson. Imaging 2014 . © 2014 Wiley Periodicals, Inc .
    Print ISSN: 1053-1807
    Electronic ISSN: 1522-2586
    Topics: Medicine
    Published by Wiley-Blackwell
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  • 3
    Publication Date: 2013-08-31
    Description: [1]  One of the primary goals for the Visible Infrared Imaging Radiometer Suite (VIIRS) onboard the Suomi National Polar-orbiting Partnership (SNPP) is to provide the science and user communities with the data continuity of the Environmental Data Records (EDR) (or Level-2 products) over global oceanic waters for various research and applications, including assessment of climatic and environmental variations. The ocean color EDR is one of the most important products derived from VIIRS. Since ocean color EDR is processed from the upstream Sensor Data Records (SDR) (or Level-1B data), the objective of this study is to evaluate the impact of the SDR on the VIIRS ocean color EDR. The quality of the SDR relies on pre-launch sensor characterizations as well as on-orbit radiometric calibrations, which are used to develop the sensor F-factor lookup tables (F-LUTs). VIIRS F-LUTs derived from solar and lunar calibrations have been used in processing data from the VIIRS Raw Data Records (RDR) (or Level-0 data) to SDR. In this study, three sets of F-LUTs with different generation schemes have been used to reprocess the SDR and then the ocean color EDR for product evaluations. VIIRS ocean color products are compared with in situ data from the Marine Optical Buoy (MOBY) and products from the Moderate Resolution Imaging Spectroradiometer (MODIS) on the satellite Aqua. It is found that the data quality of VIIRS operational ocean color products before 6 February 2012 is poor due to the inappropriate use of the at-launch F-LUTs for the SDR calibration, and that the recently updated VIIRS F-LUTs have significantly improved the SDR and ocean color EDR. Using reprocessed SDR with updated F-LUTs and including vicarious calibration, VIIRS ocean color EDR products are consistent with those from MODIS-Aqua in global deep waters. Although there are still some significant issues with VIIRS ocean color EDR, e.g., poor data quality over coastal regions, our results demonstrate that VIIRS has great potential to provide the science and user communities with consistently high quality global ocean color data records that are established from heritage ocean color sensors such as MODIS-Aqua.
    Print ISSN: 0148-0227
    Topics: Geosciences , Physics
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  • 4
    Publication Date: 2013-03-26
    Description: AmyP is a raw-starch-degrading α-amylase newly identified from a marine metagenome library. It shares low sequence similarity with characterized glycoside hydrolases and was classified into a new subfamily of GH13. In particular, it showed preferential degradation to raw rice starch. Full-length AmyP was cloned and overexpressed in Escherichia coli , then purified and crystallized in the presence of its substrate analogue β-cyclodextrin. X-ray diffraction data were collected to a resolution of 2.1 Å. The crystal belonged to space group P 2 1 2 1 2, with unit-cell parameters a = 129.824, b = 215.534, c = 79.699 Å, α = β = γ = 90°, and was estimated to contain two molecules in one asymmetric unit.
    Electronic ISSN: 1744-3091
    Topics: Biology , Chemistry and Pharmacology , Geosciences , Physics
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  • 5
    Publication Date: 2015-01-28
    Description: Abstract. The asymmetrical crystal [Na(15C5) 2 ][Na(15C5)] 2 (AsMo 12 O 40 )] · CH 3 CN ( 1 ) was synthesized. Interestingly, the huge α-keggin ion AsMo 12 is distorted by introduction of CH 3 CN molecules and adopts a chiral assembly with space group P 4 . In contrast, the analogous compound AsW 12 co-crystallizes with trace H 2 O molecules. The hydrogen atoms of H 2 O are positionally disordered with 50 % occupation to correlate with AsW 12 in space group P 4/ m . Solid and solution CD spectra indicate that the crystals of 1 are in R configuration. This leads to the conclusion that molybdenum has greater affinity toward organic CH 3 CN, whereas tungsten has greater affinity to inorganic H 2 O. Additionally, AsMo 12 shows greater deformability than AsW 12 . It is suggested that POMo shows a greater potential as chiral material than POW because of the flexibility of Mo. As a highlight, CH 3 CN can function as a general chiral inducer for the innovation of other chiral crystals, if fixed along one dimension.
    Print ISSN: 0044-2313
    Electronic ISSN: 1521-3749
    Topics: Chemistry and Pharmacology
    Published by Wiley-Blackwell
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  • 6
    Publication Date: 2014-08-13
    Description: P-n junction BiOBr/ZnO composites were prepared by a facile solvothermal process with double Br sources of CTAB and KBr. The samples were characterized by XRD, XPS, SEM, TEM, HRTEM, DRS, BET and PL. The BiOBr/ZnO composites exhibited much higher photocatalytic activity than single BiOBr and ZnO for the degradation of phenol under simulated sunlight irradiation. The enhanced photocatalytic activity of BiOBr/ZnO composites could be mainly ascribed to the high-efficiency separation of photogenerated electron-hole pairs through BiOBr/ZnO p-n junction. The reaction mechanism for the removal of phenol was also discussed. Hole and ·OH were the main reactive species. Moreover, the influence of disparate ratios of double Br sources to BiOBr/ZnO composites was also investigated. The results indicated that the BiOBr/ZnO composites prepared by double Br sources showed better photocatalytic activities than the sample prepared by single Br source. P-n junction BiOBr/ZnO composites were prepared by a facile solvothermal process with double Br sources and the composites exhibited higher photocatalytic activity than BiOBr and ZnO for the degradation of phenol, which could be ascribed to two reasons. One reason may be the high efficient separation of photogenerated electron-hole pairs through BiOBr/ZnO p-n junction. Another one would be the high surface area achieved by adjusting the content of CTAB.
    Print ISSN: 0232-1300
    Electronic ISSN: 1521-4079
    Topics: Geosciences , Physics
    Published by Wiley-Blackwell
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  • 7
    Publication Date: 2015-08-27
    Description: The cloud water content (CWC) in rainy clouds is a crucial parameter to determine the onset and the growth rate of precipitation, and to quantify the associated latent heating rate. No direct retrieval of CWC in rainy cloud from satellite observations is reported due to the difficulties of separating cloud particles from precipitation sized particles. However, based on multiple cloud simulations from the Weather and Research Forecasting (WRF) model, we have found that the CWC profile in warm rains can be well determined by three macro-physical cloud properties of cloud water path (CWP), cloud top height (CTH), and cloud bottom height (CBH). The CBH can be estimated using CWP, CTH and near surface rain rate. We proposed an algorithm with a lookup table for estimating the CWC profile using CWP, CTH and near surface rain rate as inputs. The performance of this algorithm was tested with WRF model simulations and a real drizzle case observed by the CloudSat satellite. Testing verified that the algorithm can retrieve the vertical distribution of CWC correctly with few errors at different spatiotemporal scales. In addition, the algorithm is not confined to particular microphysics schemes and is valid for multiple cloud systems in different areas over the world. This algorithm is expected to improve current knowledge of cloud water content in rainy clouds.
    Print ISSN: 0148-0227
    Topics: Geosciences , Physics
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  • 8
    Publication Date: 2017-01-11
    Description: Unusual cold filaments are uncovered during the spring intermonsoon season in the South China Sea (SCS) using a suite of satellite observations. They have a width of about 100 km on average and extend several hundreds of kilometers offshore on the sea surface, providing significant cross-shelf transport of heat and nutrients. The eastward current associated with mesoscale eddies in spring in the western SCS is found to play an important role in the filament formation by advecting coastal cold waters far offshore. The meridional location of the cold filament displays considerable interannual variability ranging between 9 o N and 18 o N, which can be attributed to the interannual south-north shift of the eastward current associated with eddies. It is also found that in the spring, cold filaments have profound effects on the chlorophyll a concentration in the upper ocean and the overlying atmosphere. These findings provide new insights into the role of eddies in cross-shelf exchange and mesoscale air-sea interaction in the marginal seas.
    Print ISSN: 0148-0227
    Topics: Geosciences , Physics
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  • 9
    Publication Date: 2017-01-24
    Description: Agricultural production, rural areas, and farmers are three key aspects of agriculture related to sustainable economic and social development in China. Rural development is a process of multi-participation, which involves actors from governments, village committees, villagers, rural economic cooperatives, enterprises, financing institutions, and non-government organizations (NGOs). Based on social network analysis (SNA), this article analyzes the social network structures and characteristics of various actors in different stages of rural development in Yanhe village, Hubei Province, China. The results show that both the village committee and villagers have great influence on rural development; NGOs are the leaders of rural environmental improvement; village cooperatives are the promoters of rural economic development; enterprises are the accelerators of rural construction and development. The study outlines the rural development model in Yanhe village where the village committee is the leader and multiple forms of participation and cooperation are present; there are excellent partnerships and communication mechanisms among the participants. The endogenous and sustainable development model identified from Yanhe village is valuable for other villages in China to adopt.
    Print ISSN: 0017-4815
    Electronic ISSN: 1468-2257
    Topics: Geography , Economics
    Published by Wiley-Blackwell
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