Donovan et al., 2013 - Google Patents
Practical depolarization-ratio-based inversion procedure: lidar measurements of the Eyjafjallajökull ash cloud over the NetherlandsDonovan et al., 2013
View HTML- Document ID
- 16076382803681905964
- Author
- Donovan D
- Apituley A
- Publication year
- Publication venue
- Applied Optics
External Links
Snippet
In this paper we present a technique for estimating optical backscatter and extinction profiles using lidar, which exploits the difference between the observed linear volume depolarization ratio at 355 nm and the corresponding expected aerosol-only depolarization ratio. The …
- 238000000034 method 0 title abstract description 113
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infra-red light
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/47—Scattering, i.e. diffuse reflection
- G01N21/49—Scattering, i.e. diffuse reflection within a body or fluid
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
- G01N21/63—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
- G01N21/636—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited using an arrangement of pump beam and probe beam; using the measurement of optical non-linear properties
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRA-RED, VISIBLE OR ULTRA-VIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colour
- G01J3/28—Investigating the spectrum
- G01J3/447—Polarisation spectrometry
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
- G01N33/26—Investigating or analysing materials by specific methods not covered by the preceding groups oils; viscous liquids; paints; inks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N25/00—Investigating or analyzing materials by the use of thermal means
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K11/00—Measuring temperature based upon physical or chemical changes not covered by groups G01K3/00, G01K5/00, G01K7/00 or G01K9/00
- G01K11/12—Measuring temperature based upon physical or chemical changes not covered by groups G01K3/00, G01K5/00, G01K7/00 or G01K9/00 using change of colour or translucency
- G01K11/125—Measuring temperature based upon physical or chemical changes not covered by groups G01K3/00, G01K5/00, G01K7/00 or G01K9/00 using change of colour or translucency using change in reflectance
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRA-RED, VISIBLE OR ULTRA-VIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Burton et al. | Calibration of a high spectral resolution lidar using a Michelson interferometer, with data examples from ORACLES | |
Lebsock et al. | The retrieval of warm rain from CloudSat | |
Cattrall et al. | Variability of aerosol and spectral lidar and backscatter and extinction ratios of key aerosol types derived from selected Aerosol Robotic Network locations | |
Delanoë et al. | A variational scheme for retrieving ice cloud properties from combined radar, lidar, and infrared radiometer | |
Kleidman et al. | Comparison of Moderate Resolution Imaging Spectroradiometer (MODIS) and Aerosol Robotic Network (AERONET) remote‐sensing retrievals of aerosol fine mode fraction over ocean | |
Takamura et al. | Tropospheric aerosol optical properties derived from lidar, sun photometer, and optical particle counter measurements | |
Liu et al. | Retrieval and analysis of a polarized high-spectral-resolution lidar for profiling aerosol optical properties | |
Chand et al. | Quantifying above‐cloud aerosol using spaceborne lidar for improved understanding of cloudy‐sky direct climate forcing | |
Okamoto et al. | An algorithm for retrieval of cloud microphysics using 95‐GHz cloud radar and lidar | |
Avery et al. | Cloud ice water content retrieved from the CALIOP space‐based lidar | |
Donovan et al. | Practical depolarization-ratio-based inversion procedure: lidar measurements of the Eyjafjallajökull ash cloud over the Netherlands | |
Tao et al. | Measurements of cirrus cloud backscatter color ratio with a two-wavelength lidar | |
Sicard et al. | Variational method for the retrieval of the optical thickness and the backscatter coefficient from multiangle lidar profiles | |
Bissonnette et al. | Multiple-scattering lidar retrieval method: tests on Monte Carlo simulations and comparisons with in situ measurements | |
Josset et al. | CALIPSO lidar ratio retrieval over the ocean | |
Nishizawa et al. | An algorithm that retrieves aerosol properties from dual‐wavelength polarized lidar measurements | |
Chiu et al. | Cloud optical depth retrievals from the Aerosol Robotic Network (AERONET) cloud mode observations | |
Qi et al. | Classification of atmospheric aerosols and clouds by use of dual-polarization lidar measurements | |
Oo et al. | Improving the CALIOP aerosol optical depth using combined MODIS‐CALIOP observations and CALIOP integrated attenuated total color ratio | |
Mao et al. | Anti-noise algorithm of lidar data retrieval by combining the ensemble Kalman filter and the Fernald method | |
Xie et al. | Retrievals of cloud fraction and cloud albedo from surface‐based shortwave radiation measurements: A comparison of 16 year measurements | |
Bissonnette et al. | Multiple-scattering-based lidar retrieval: method and results of cloud probings | |
Terai et al. | Satellite estimates of precipitation susceptibility in low‐level marine stratiform clouds | |
Kikuchi et al. | Development of algorithm for discriminating hydrometeor particle types with a synergistic use of CloudSat and CALIPSO | |
Kang et al. | Evaluation of MODIS and Himawari‐8 low clouds retrievals over the Southern Ocean with in situ measurements from the SOCRATES campaign |