Data Analysis Methods in Physical OceanographyNewnes, 2014 M07 14 - 728 páginas Data Analysis Methods in Physical Oceanography, Third Edition is a practical reference to established and modern data analysis techniques in earth and ocean sciences. Its five major sections address data acquisition and recording, data processing and presentation, statistical methods and error handling, analysis of spatial data fields, and time series analysis methods. The revised Third Edition updates the instrumentation used to collect and analyze physical oceanic data and adds new techniques including Kalman Filtering. Additionally, the sections covering spectral, wavelet, and harmonic analysis techniques are completely revised since these techniques have attracted significant attention over the past decade as more accurate and efficient data gathering and analysis methods. - Completely updated and revised to reflect new filtering techniques and major updating of the instrumentation used to collect and analyze data - Co-authored by scientists from academe and industry, both of whom have more than 30 years of experience in oceanographic research and field work - Significant revision of sections covering spectral, wavelet, and harmonic analysis techniques - Examples address typical data analysis problems yet provide the reader with formulaic "recipes for working with their own data - Significant expansion to 350 figures, illustrations, diagrams and photos |
Contenido
| 1 | |
Chapter 2 Data Processing and Presentation | 187 |
Chapter 3 Statistical Methods and Error Handling | 219 |
Chapter 4 The Spatial Analyses of Data Fields | 313 |
Chapter 5 Time Series Analysis Methods | 425 |
Chapter 6 Digital Filters | 593 |
| 639 | |
Appendix A Units in Physical Oceanography | 665 |
Appendix B Glossary of Statistical Terminology | 669 |
Appendix C Means Variances and MomentGenerating Functions for Some Common Continuous Variables | 673 |
Appendix D Statistical Tables | 675 |
Appendix E Correlation Coefficients at the 5 and 1 Levels of Significance for Various Degrees of Freedom ν | 687 |
Appendix F Approximations and Nondimensional Numbers in Physical Oceanography | 689 |
Appendix G Convolution | 697 |
| 701 | |
Otras ediciones - Ver todas
Data Analysis Methods in Physical Oceanography Richard E. Thomson,William J. Emery Sin vista previa disponible - 2014 |
Términos y frases comunes
acoustic ADCP amplitude analysis applied average buoy calculated calibration coastal coefficients components computed confidence interval correlation covariance function covariance matrix current meter curve cycle data points data series data set data values defined degrees of freedom density depth derived distribution drifter drogue equations error example Figure filter Fourier transform frequency input instrument interpolation Kalman filter length linear low-pass low-pass filter map units matrix maximum mean measurements ments method mixed layer mode mooring noise normal normal distribution Nyquist frequency observed obtained ocean oceanographic output Pacific parameter period periodogram phase pressure problem profiles quency random variable range record regression response salinity sample satellite scale sea surface sea-level sensor signal smoothing spatial specific spectral estimates spectrum speed standard deviation statistical technique temperature thermometer tidal tion tritium variance vector velocity vertical wave weights wind window zero