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  • 1
    Online Resource
    Online Resource
    San Diego :Elsevier Science & Technology,
    Keywords: Oceanography--Observations--Data processing. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (654 pages)
    Edition: 2nd ed.
    ISBN: 9780080477008
    Language: English
    Note: Cover -- Contents -- Preface -- Acknowledgments -- Data Acquisition and Recording -- Introduction -- Basic Sampling Requirements -- Sampling Interval -- Sampling Duration -- Sampling Accuracy -- Burst Sampling Versus Continuous Sampling -- Regularly Versus Irregularly Sampled Data -- Independent Realizations -- Temperature -- Mercury Thermometers -- The Mechanical Bathythermograph (MBT) -- Resistance Thermometers (Expendable Bathythermograph: XBT) -- Salinity/Conductivity-Temperature-Depth Profilers -- Dynamic Response of Temperature Sensors -- Response Times of CTD Systems -- Temperature Calibration of STD/CTD Profilers -- Sea Surface Temperature -- Ship Measurements -- Satellite-Sensed Sea Surface Temperature (Radiation Temperature) -- The Modern Digital Thermometer -- Potential Temperature and Density -- Salinity -- Salinity and Electrical Conductivity -- A Comparison of Two Modern CTDs -- The Practical Salinity Scale -- Nonconductive Methods -- Depth of Pressure -- Hydrostatic Pressure -- Free-Fall Velocity -- Echo Sounding -- Height above the Bottom -- Other Depth Sounding Methods -- Laser Induced Detection and Ranging (LIDAR) -- Synthetic Aperture Radar (SAR) -- Satellite Altimetry -- Sea-Level Measurement -- Specifics of Sea-Level Variability -- Tide and Pressure Gauges -- Satellite Altimetry -- Inverted Echo Sounder (IES) -- Wave Height and Direction -- Eulerian Currents -- Early Current Meter Technology -- Rotor-Type Current Meters -- The RCM Series of Current Meters -- The Vector Averaging Current Meter (VACM) -- Problems with the Savonious Rotor -- Vector Measuring Current Meter (VMCM) -- Nonmechanical Current Meters -- Acoustic Current Meters (ACM) -- Electromagnetic Current Meters (ECM) -- Profiling Acoustic Doppler Current Meters (ADCM) -- Acoustic Backscatter -- Comparisons of Current Meters -- Electromagnetic Methods. , Other Methods of Current Measurement -- Mooring Logistics -- Acoustic Releases -- Lagrangian Current Measurements -- Drift Cards and Bottles -- Modern Drifters -- Processing Satellite-Tracked Drifter Data -- Drifter Response -- Other Types of Surface Drifters -- Subsurface Floats -- Surface Displacements in Satellite Imagery -- Wind -- Precipitation -- Chemical Tracers -- Conventional Tracers -- Temperature and Salinity -- Dissolved Oxygen -- Nutrients -- Silicate -- Light Attenuation and Scattering -- Oxygen Isotope: Gamma18O -- Helium-3 -- Helium/Heat Ratio -- Transient Chemical Tracers -- Tritium -- Radiocarbon -- Chlorofluorocarbons -- Radon-222 -- Sulfur Hexafluoride -- Strontium-90 -- Data Processing and Presentation -- Introduction -- Calibration -- Interpolation -- Data Presentation -- Introduction -- Vertical Profiles -- Vertical Sections -- Horizontal Maps -- Map Projections -- Characteristic or Property Versus Property Diagrams -- Time-Series Presentation -- Histograms -- New Directions in Graphical Presentation -- Statistical Methods and Error Handling -- Introduction -- Sample Distributions -- Probability -- Cumulative Probability Functions -- Moments and Expected Values -- Unbiased Estimators and Moments -- Moment Generating Functions -- Common Probability Density Functions -- Central Limit Theorem -- Estimation -- Confidence Intervals -- Confidence Interval for mu (Sigma known) -- Confidence Interval for Mu (Sigma Unknown) -- Confidence Interval for Sigma2 -- Goodness-of-Fit Test -- Selecting the Sample Size -- Confidence Intervals for Altimeter Bias Estimates -- Estimation Methods -- Minimum Variance Unbiased Estimation -- Method of Moments -- Maximum Likelihood -- Linear Estimation (Regression) -- Method of Least Squares -- Standard Error of the Estimate -- Multivariate Regression -- A Computational Example of Matrix Regression. , Polynomial Curve Fitting with Least Squares -- Relationship between Least-Squares and Maximum Likelihood -- Relationship between Regression and Correlation -- The Effects of Random Errors on Correlation -- The Maximum Likelihood Correlation Estimator -- Correlation and Regression: Cause and Effect -- Hypothesis Testing -- Significance Levels and Confidence Intervals for Correlation -- Analysis of Variance and the F-Distribution -- Effective Degrees of Freedom -- Trend Estimates and the Integral Time Scale -- Editing and Despiking Techniques: The Nature of Errors -- Identifying and Removing Errors -- Propagation of Error -- Dealing with Numbers: The Statistics of Roundoff -- Gauss-Markov Theorem -- Interpolation: Filling the Data Gaps -- Equally and Unequally Spaced Data -- Interpolation Methods -- Linear Interpolation -- Polynomial Interpolation -- Lagrange's Method -- Spline Interpolation -- Interpolating Gappy Records: Practical Examples -- Interpolating Gappy Records for Time-Series Analysis -- Interpolating Satellite-Tracked Positional Data -- Interpolation Records from Nearby Stations -- Covariance and the Covariance Matrix -- Covariance and Structure Functions -- A Computational Example -- Multivariate Distributions -- The Bootstrap and Jackknife Methods -- Bootstrap Method -- Jackknife Method -- The Spatial Analyses of Data Fields -- Traditional Block and Bulk Averaging -- Objective Analysis -- Objective Mapping: Examples -- Empirical Orthogonal Functions -- Principal Axes of a Single Vector Time Series (Scatter Plot) -- EOF Computation using the Scatter Matrix Method -- EOF Computation using Singular Value Decomposition -- An Example: Deep Currents Near a Mid-Ocean Ridge -- Interpretation of EOFs -- Variations on Conventional EOF Analysis -- Normal Mode Analysis -- Vertical Normal Modes -- An Example: Normal Modes of Semidiurnal Frequency. , Coastal-Trapped Waves (CTWs) -- Inverse Methods -- General Inverse Theory -- Inverse Theory and Absolute Currents -- The Beta Spiral Method -- Wunsch's Method -- The IWEX Internal Wave Problem -- Summary of Inverse Methods -- Time-Series Analysis Methods -- Basic Concepts -- Stochastic Processes and Stationarity -- Correlation Functions -- Fourier Analysis -- Mathematical Formulation -- Discrete Time Series -- A Computational Example -- Fourier Analysis for Specified Frequencies -- The Fast Fourier Transform -- Harmonic Analysis -- A Least-Squares Method -- A Computational Example -- Harmonic Analysis of Tides -- Choice of Constituents -- A Computational Example for Tides -- Complex Demodulation -- Spectral Analysis -- Spectra of Deterministic and Stochastic Processes -- Spectra of Discrete Series -- Conventional Spectral Methods -- The Autocorrelation Method -- The Periodogram Method -- The Power Spectral Density for Periodic Data -- Variance-Preserving Spectra -- The Chi-Squared Property of Spectral Estimators -- Spectra of Vector Series -- Cartesian Component Rotary Spectra -- Rotary Component Spectra -- Rotary Spectra (Via Cartesian Components) -- Effect of Sampling on Spectral Estimates -- Effect of Finite Record Length -- Aliasing -- Nyquist Frequency Sampling -- Frequency Resolution -- Smoothing Spectral Estimates (Windowing) -- Desired Window Qualities -- Rectangular (Box-Car) and Triangular Windows -- Hanning and Hamming Windows (50% Overlap) -- Kaiser-Bessel Window (75% Overlap) -- Smoothing Spectra in the Frequency Domain -- Band Averaging -- Block Averaging -- Confidence Intervals on Spectra -- Confidence Intervals on a Logarithmic Scale -- Fidelity and Stability -- Zero-Padding and Prewhitening -- Spectral Analysis of Unevenly Spaced Time Series -- General Spectral Bandwidth and Q of the System. , Summary of the Standard Spectral Analysis Approach -- Spectral Analysis (Parametric Methods) -- Some Basic Concepts -- Autoregressive Power Spectral Estimation -- Autoregressive Parameter Estimation -- Order of the Autoregressive Process -- Maximum Entropy Method (MEM) -- An Autoregressive Model of Global Temperatures -- Maximum Likelihood Spectral Estimation -- Cross-Spectral Analysis -- Cross-Correlation Functions -- Cross-Covariance Method -- Fourier Transform Method -- Phase and Cross-Amplitude Functions -- Coincident and Quadrature Spectra -- Relationship of Co- and Quad-Spectra to Cross-Covariance -- Coherence Spectrum (Coherency) -- Confidence Levels -- Frequency Response of a Linear System -- Multi-Input Systems Cross-Spectral Analysis -- Rotary Cross-Spectral Analysis -- Rotary Analysis for a Pair of Time Series -- Wavelet Analysis -- The Wavelet Transform -- Wavelet Algorithms -- Oceanographic Examples -- The S-Transformation -- The Multiple Filter Technique -- Theoretical Considerations -- Digital Filters -- Introduction -- Basic Concepts -- Ideal Filters -- Bandwidth -- Gibbs' Phenomenon -- Recoloring -- Design of Oceanographic Filters -- Frequency Versus Time Domain Filtering -- Filter Cascades -- Running-Mean Filters -- Godin-Type Filters -- Lanczos-Window Cosine Filters -- Cosine Filters -- The Lanczos Window -- Practical Filter Design -- The Hanning (Von Hann) Window -- Butterworth Filters -- High-Pass and Band-Pass Filters -- Digital Formulation -- Tangent Versus Sine Filters -- Filter Design -- Filter Coefficients -- Frequency-Domain (Transform) Filtering -- Truncation Effects -- Fractals -- The Scaling Exponent Method -- The Yardstick Method -- Box Counting Method -- Correlation Dimension -- Dimensions of Multifractal Functions -- Predictability -- Appendices -- Units in Physical Oceanography -- Glossary of Statistical Terminology. , Means, Variances and Moment-Generating Functions for Some Common Continuous Variables.
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  • 2
    Online Resource
    Online Resource
    San Diego :Elsevier Science & Technology,
    Keywords: Oceanography. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (343 pages)
    Edition: 5th ed.
    ISBN: 9781483287263
    DDC: 551.46
    Language: English
    Note: Front Cover -- Descriptive Physical Oceanography: An Introduction -- Copyright Page -- Table of Contents -- Preface to the Fifth Edition -- Acknowledgements -- CHAPTER 1. Introduction -- CHAPTER 2. Ocean Dimensions, Shapes and Bottom Materials -- 2.1 Dimensions -- 2.2 Sea-floor Dimensions -- 2.3 Bottom Material -- CHAPTER 3. Physical Properties of Sea-Water -- 3.1 Vocabulary -- 3.2 Properties of Pure Water -- 3.3 Temperature -- 3.4 Salinity and Conductivity -- 3.5 Density -- 3.6 Other Characteristic Properties -- 3.7 Sound in the Sea -- 3.8 Light in the Sea -- 3.9 Colour of Sea-Water -- CHAPTER 4. Typical Distributions of Water Characteristics in the Oceans -- 4.1 Introduction -- 4.2 Temperature Distribution -- 4.3 Salinity Distribution -- 4.4 Density Distribution -- 4.5 Dissolved Oxygen Distribution -- 4.6 Other Water-Motion Tracers -- 4.7 Transparency of the upper ocean from Secchi disc measurements -- CHAPTER 5. Water, Salt and Heat Budgets of the Oceans -- 5.1 Conservation of Volume -- 5.2 Conservation of Salt -- 5.3 Conservation of Heat Energy -- the Heat Budget -- CHAPTER 6. Instruments and Methods -- 6.1 Introduction -- 6.2 Instruments -- 6.3 Platforms -- 6.4 Age of ocean water -- 6.5 Graphical Presentation of Data -- CHAPTER 7. Circulation and Water Masses of the Oceans -- 7.1 Introduction -- mechanisms -- 7.2 Southern Ocean -- 7.3 Atlantic Ocean -- 7.4 North Atlantic Adjacent Seas -- 7.5 Arctic Sea -- 7.6 Pacific Ocean -- 7.7 Indian Ocean -- 7.8 Red Sea and Persian Gulf -- CHAPTER 8. Coastal Oceanography -- 8.1 Introduction -- 8.2 Coastal Upwelling -- 8.3 Ekman Circulation in Shallow Water -- 8.4 Estuaries -- 8.5 Coral Reefs -- CHAPTER 9. Some Directions for Future Work -- APPENDIX: Units used in Descriptive Physical Oceanography -- Introduction -- Relevant SI Units -- Units used in Physical Oceanography and Some Numerical Examples. , Bibliography -- Index.
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  • 3
    Publication Date: 2017-04-04
    Description: The successful launch of panchromatic WorldView-1 and the planned launch of WorldView-2 will make a major contribution towards the advancement of the commercial remote sensing industry by providing improved capabilities, more frequent revisits and greater imaging flexibility with respect to the precursor QuickBird satellite. Remote sensing data from panchromatic systems have a potential for more detailed and accurate mapping of the urban environment with details of sub-meter ground resolution, but at the same time, they present additional complexities for information mining. In this study, very high-resolution panchromatic images from QuickBird and WorldView-1 have been used to accurately classify the land-use of four different urban environments: Las Vegas (U.S.A.), Rome (Italy), Washington D.C. (U.S.A.) and San Francisco (U.S.A.). The proposed method is based on the analysis of firstand second-order multi-scale textural features extracted from panchromatic data. For this purpose, textural parameters have been systematically investigated by computing the features over five different window sizes, three different directions and two different cell shifts for a total of 191 input features. Neural Network Pruning and saliency measurements made it possible to determine the most important textural features for sub-metric spatial resolution imagery of urban scenes. The results show that with a multi-scale approach it is possible to discriminate different asphalt surfaces, such as roads, highways and parking lots due to the different textural information content. This approach also makes it possible to differentiate building architectures, sizes and heights, such as residential houses, apartment blocks and towers with classification accuracies above 0.90 in terms of Kappa coefficient computed over more than a million independent validation pixels.
    Description: Published
    Description: 1276 – 1292
    Description: 1.10. TTC - Telerilevamento
    Description: JCR Journal
    Description: reserved
    Keywords: Multi-scale textural analysis ; Neural networks ; Urban land-use ; 05. General::05.01. Computational geophysics::05.01.02. Cellular automata, fuzzy logic, genetic alghoritms, neural networks
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 4
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    AMS (American Meteorological Society)
    In:  Journal of Atmospheric and Oceanic Technology, 3 (1). pp. 75-83.
    Publication Date: 2016-05-10
    Description: An XBT interface is described for use with Commodore and other 6502 based microprocessors. This interface takes the form of a single circuit board mounted inside the microcomputer and is completely software controlled. The application of this digital XBT system to the real-time computation of density and dynamic height, using historical or recent temperature-salinity relationships, is also described. Comparison between XBT and CTD measured temperatures from the Northeast Atlantic yield a mean temperature difference of −0.08°C and an rms temperature difference of 0.33°C for the upper 800 m. Examples of dynamic topography maps and a temperature section computed using this technique are also presented and comparison between objectively analyzed XBT and CTD dynamic topographies demonstrates the reliability of the method for mapping the baroclinic flow.
    Type: Article , PeerReviewed
    Format: text
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  • 5
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    Unknown
    In:  [Other] In: 2. ARGO Science Workshop, 14.03, Venice, Italy .
    Publication Date: 2012-02-23
    Type: Conference or Workshop Item , NonPeerReviewed
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  • 6
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    Unknown
    AMS (American Meteorological Society)
    In:  Journal of Physical Oceanography, 15 (7). pp. 885-897.
    Publication Date: 2020-08-04
    Description: Long-term temperature and current-meter records from moorings in the northern Canary Basin display strong current events with time scales between one and three months and large vertical scales of several thousand meters. The data are compared to hydrographic surveys in the area that show a meandering subtropical front. The strong current events are found to be related to the passage of the front through the mooring positions. An analysis of composite time series, for selected depths, indicates cases of westward and of eastward propagation of frontal meanders. The frontal pattern is also found in geopotential anomalies inferred from historical XBT data sets, suggesting that the front is a persistent feature of the density field. In two cases strong current events appear to be related to a Mediterranean Water lens.
    Type: Article , PeerReviewed
    Format: text
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