Format:
XVI, 615 Seiten
,
Illustrationen
ISBN:
0471201715
Content:
Over the forty years since the invention of the laser, optical and electronic technology has made great strides, enabling the practical use of lidar in many fields. As lidar technology moves from being an object of research to providing data for other types of researchers to use, it becomes increasingly important to have a resource that explains the topic simply, yet thoroughly. Intended as a handbook for researchers, graduate students, and lidar users, Elastic lidar : theory, practice, and analysis methods bridges a twenty-year gap in the lidar literature and brings its subject into the twenty-first century. Focusing on elastic lidars, the most common type of lidars in use today, the authors, both researchers in the field, provide a comprehensive discussion of practical elastic lidar methodology and inversion techniques, data analysis methods, and the construction of elastic lidars. The book provides lidar professionals and students alike with clear and simple explanations of how lidars work, data inversion techniques, construction of elastic lidars, how to extract information from the data lidars provide. Based on their own professional experience, the authors provide readers with a straightforward explanation of what lidar technology can and cannot do with the methods currently available, while providing alternate viewpoints so that readers can draw their own conclusions.
Note:
MAB0014.001: AWI A14-06-0535
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CONTENTS: Preface. - Definitions. - 1 Atmospheric Properties. - 1.1. Atmospheric Structure. - 1.1.1. Atmospheric Layers. - 1.1.2. Convective and Stable Boundary Layers. - 1.1.3. Boundary Layer Theory. - 1.2. Atmospheric Properties. - 1.2.1. Vertical Profiles of Temperature, Pressure and Number Density. - 1.2.2. Tropospheric and Stratospheric Aerosols. - 1.2.3. Particulate Sizes and Distributions. - 1.2.4. Atmospheric Data Sets. - 2 Light Propagation in the Atmosphere. - 2.1. Light Extinction and Transmittance. - 2.2. Total and Directional Elastic Scattering of the Light Beam. - 2.3. Light Scattering by Molecules and Particulates: Inelastic Scattering. - 2.3.1. Index of Refraction. - 2.3.2. Light Scattering by Molecules (Rayleigh Scattering). - 2.3.3. Light Scattering by Particulates (Mie Scattering). - 2.3.4. Monodisperse Scattering Approximation. - 2.3.5. Polydisperse Scattering Systems. - 2.3.6. Inelastic Scattering. - 2.4. Light Absorption by Molecules and Particulates. - 3 Fundamentals of the Lidar Technique. - 3.1. Introduction to the Lidar Technique. - 3.2. Lidar Equation and lts Constituents. - 3.2.1. The Single-Scattering Lidar Equation. - 3.2.2. The Multiple-Scattering Lidar Equation. - 3.3. Elastic Lidar Hardware. - 3.3.1 Typical Lidar Hardware. - 3.4. Practical Lidar lssues. - 3.4.1. Determination of the Overlap Function. - 3.4.2. Optical Filtering. - 3.4.3. Optical Alignment and Scanning. - 3.4.4. The Range Resolution of a Lidar. - 3.5. Eye Safety Issues and Hardware. - 3.5.1. Lidar-Radar Combination. - 3.5.2. Micropulse Lidar. - 3.5.3. Lidars Using Eye-Safe Laser Wavelengths. - 4 Detectors, Digitizers, Electronics. - 4.1. Detectors. - 4.1.1. General Types of Detectors. - 4.1.2. Specific Detector Devices. - 4.1.3. Detector Performance. - 4.1.4. Noise. - 4.1.5. Time Response. - 4.2. Electric Circuits for Optical Detectors. - 4.3. A-D Converters/Digitizers. - 4.3.1. Digitizing the Detector Signal. - 4.3.2. Digitizer Errors. - 4.3.3. Digitizer Use. - 4.4. General. - 4.4.1. Impedance Matching. - 4.4.2. Energy Monitaring Hardware. - 4.4.3. Photon Counting. - 4.4.4. Variable Amplification. - 5 Analytical Solutions of the Lidar Equation. - 5.1. Simple Lidar-Equation Solution for a Homogeneaus Atmosphere: Slope Method. - 5.2. BasicTransformation of the Elastic Lidar Equation. - 5.3. Lidar Equation Solution for a Single-Component Heterogeneaus Atmosphere. - 5.3.1. Boundary Point Solution. - 5.3.2. Optical Depth Solution. - 5.3.3. Solution Based on a Power-Law Relationship Between Backscatter and Extinction. - 5.4. Lidar Equation Solution for a Two-Component Atmosphere. - 5.5. Which Solution is Best?. - 6 Uncertainty Estimation for Lidar Measurements. - 6.1. Uncertainty for the Slope Method. - 6.2. Lidar Measurement Uncertainty in a Two-Component Atmosphere. - 6.2.1. General Formula. - 6.2.2. Boundary Point Solution: Influence of Uncertainty and Location of the Specified Boundary Value on the Uncertainty δkw(r). - 6.2.3. Boundary-Point Solution: lnfl.uence of the Particulate Backscatter-to-Extinction Ratio and the Ratio Between Kp(r) and Km(r) on Measurement Accuracy. - 6.3. Background Constituent in the Original Lidar Signal and Lidar Signal Averaging. - 7 Backscatter-to-Extinction Ratio. - 7.1. Exploration of the Backscatter-to-Extinction Ratios: Brief Review. - 7.2. lnfluence of Uncertainty in the Backscatter-to-Extinction Ratio on the Inversion Result. - 7.3. Problem of a Range-Dependent Backscatter-to-Extinction Ratio. - 7.3.1. Application of the Power-Law Relationship Between
Backscattering and Total Scattering in Real Atmospheres: Overview. - 7.3.2. Application of a Range-Dependent Backscatter-to-Extinction Ratio in Two-Layer Atmospheres. - 7.3.3. Lidar Signal Inversion with an Iterative Procedure. - 8 Lidar Examination of Clear and Moderately Turbid Atmospheres. - 8.1. One-Directional Lidar Measurements: Methods and Problems. - 8.1.1. Application of a Particulate-Free Zone Approach. - 8.1.2. Iterative Method to Determine the Location of Clear Zones. - 8.1.3. Two-Boundary-Point and Optical Depth Solutions. - 8.1.4. Combination of the Boundary Point and Optical Depth Solutions. - 8.2. Inversion Techniques for a "Spotted" Atmosphere. - 8.2.1. General Principles of Localization of Atmospheric "Spots". - 8.2.2. Lidar-Inversion Techniques for Monitaring and Mapping Particulate Plumes and Thin Clouds. - 9 Multiangle Methods for Extinction Coefficient Determination. - 9.1. Angle-Dependent Lidar Equation and Its Basic Solution. - 9.2. Solution for the Layer-Integrated Form of the Anglenependent Lidar Equation. - 9.3. Solution for the Two-Angle Layer-Integrated Form of the
Lidar Equation. - 9.4. Two-Angle Solution for the Angle-Independent Lidar Equation. - 9.5. High-Altitude Tropospheric Measurements with Lidar. - 9.6. Which Method Is the Best?. - 10 Differential Absorption Lidar Technique (DIAL). - 10.1. DIAL Processing Technique: Fundamentals. - 10.1.1. General Theory. - 10.1.2. Uncertainty of the Backscatter Corrections in Atmospheres with Large Gradients of Aerosol Backscattering. - 10.1.3. Dependence of the DIAL Equation Correction Terms on the Spectral Range Interval Between the On and Off Wavelengths. - 10.2. DIAL Processing Technique: Problems. - 10.2.1. Uncertainty of the DIAL Solution for Column Content of the Ozone Concentration. - 10.2.2. Transition from Integrated to Range-Resolved Ozone
Concentration: Problems of Numerical Differentiation and Data Smoothing. - 10.3. Other Techniques for DIAL Data Processing. - 10.3.1. DIAL Nonlinear Approximation Technique for Determining Ozone Concentration Profiles. - 10.3.2. Compensational Three-Wavelength DIAL Technique. - 11 Hardware Solutions to the Inversion Problem. - 11.1. Use of N2 Raman Scattering for Extinction
Measurement. - 11.1.1. Method. - 11.1.2. Limitations of the Method. - 11.1.3. Uncertainty. - 11.1.4. Altemate Methods. - 11.1.5. Determination of Water Content in Clouds. - 11.2. Resolution of Particulate and Molecular Scattering by Filtration. - 11.2.1. Background. - 11.2.2. Method. - 11.2.3. Hardware. - 11.2.4. Atomic Absorption Filters. - 11.2.5. Sources of Uncertainty. - 11.3. Multiple-Wavelength Lidars. - 11.3.1. Application of Multiple-Wavelength Lidars for the Extraction of Particulate Optical Parameters. - 11.3.2. Investigation of Particulate Microphysical Parameters with Multiple-Wavelength Lidars. - 11.3.3. Limitations of the Method. - 12 Atmospheric Parameters from Elastic Lidar Data. - 12.1. Visual Range in Horizontal Directions. - 12.1.1. Definition of Terms. - 12.1.2. Standard Instrumentation and Measurement Uncertainties. - 12.1.3. Methods of the Horizontal Visibility Measurement with Lidar. - 12.2. Visual Range in Slant Directions. - 12.2.1. Definition of Terms and the Concept of the
Measurement. - 12.2.2. Asymptotic Method in Slant Visibility Measurement. - 12.3. Temperature Measurements. - 12.3.1. Rayleigh Scattering Temperature Technique. - 12.3.2. Metal Ion Differential Absorption. - 12.3.3. Differential Absorption Methods. - 12.3.4. Doppler Broadening of the Rayleigh Spectrum. - 12.3.5. Rotational Raman Scattering. - 12.4. Boundary Layer Height Determination. - 12.4.1. Profile Methods. - 12.4.2. Multidimensional Methods. - 12.5. Cloud Boundary Determination. - 13 Wind Measurement Methods from Elastic Lidar Data. - 13.1. Correlation Methods to Determine Wind Speed and Direction. - 13.1.1. Point Correlation Methods. - 13.1.2. Two-Dimensional Correlation Method. - 13.1.3. Fourier Cerrelation Analysis. - 13.1.4. Three-Dimensional Correlation Method. - 13.1.5. Multiple-Beam Technique. - 13.1.6. Uncertainty in Correlation Methods. - 13.2. Edge Technique. - 13.3. Fringe Imaging Technique. - 13.4. Kinetic Energy, Dissipation Rate, and Divergence. - Bibliography. - Index.
Language:
English
