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  • 1
    Keywords: Atmospheric science. ; Measurement. ; Measuring instruments. ; Geographic information systems. ; Lasers. ; Outer space Exploration. ; Astronautics. ; Atmospheric Science. ; Measurement Science and Instrumentation. ; Geographical Information System. ; Laser. ; Space Exploration and Astronautics.
    Description / Table of Contents: Chapter 1. Rotational Raman scattering through narrow-band interference filters: investigating uncertainties using a new Rayleigh scattering code developed within ACTRIS -- Chapter 2. Performance of Low-Cost, Diode-Based HSRL System with Simplified Optical Setup -- Chapter 3. Sensitivity Study on the Performance of the Single Calculus Chain Aerosol Layering Module -- Chapter 4. Particle Complex Refractive Index From 3+2 HSRL/Raman Lidar Measurements: Conditions of Accurate Retrieval, Uncertainties and Constraints Provided by Information About RH -- Chapter 5. Field Testing of a Diode-Laser-Based Micro Pulse Differential Absorption Lidar System to Measure Atmospheric Thermodynamic Variables -- Chapter 6. SEMICONDUCTOR LIDAR FOR QUANTITATIVE ATMOSPHERIC PROFILING -- Chapter 7. Atomic Barium Vapor Filter for Ultraviolet High Spectral Resolution Lidar -- Chapter 8. Future Lidars for Cutting-Edge Sciences in Ionosphere-Thermosphere-Mesosphere-Stratosphere Physics and Space-Atmosphere Coupling -- Chapter 9. Polarization Lidar for Monitoring Dust Particle Orientation: First Measurements -- Chapter 10. Dust flow distribution measurement by low coherence Doppler lidar -- Chapter 11. A Multi-wavelength LED lidar for near ground atmospheric monitoring -- Chapter 12. Development of low-cost high-spectral-resolution lidar using compact multimode laser for air quality measurement -- Chapter 13. Deep Learning Based Convective Boundary Layer Determination for Aerosol and Wind Profiles observed by Wind Lidar -- Chapter 14. LITES: Laboratory Investigations of Atmospheric Aerosol Composition by Raman-Scattering and Fluorescence Spectra -- Chapter 15. Performance Simulation of a Raman Lidar for the Retrieval of CO2 Atmospheric Profiles -- Chapter 16. ALL FIBER FREE-RUNNING DUAL-COMB RANGING SYSTEM -- Chapter 17. gPCE Uncertainty Quantication Modeling of LiDAR for Bathymetric and Earth Science Applications -- Chapter 18. When can Poisson random variables be approximated as Gaussian? -- Chapter 19. Enhancing the Performance of the MicroPulse DIAL through Poisson Total Variation Signal Processing -- Chapter 20. Development of Micro Pulse Lidar Network (MPLNET) Level 3 Satellite Validation Products in Advance of the EarthCARE Mission -- Chapter 21. 3D Point Cloud Classification using Drone-based Scanning LIDAR and Signal Diversity -- Chapter 22. Design and Validation of an Elastic Lidar Simulator for Testing Potential New Systems for Aerosol Typing -- Chapter 23. Performance of Pulsed Wind Lidar Based on Optical Hybrid -- Chapter 24. Demonstrating Capabilities of Multiple-Beam Airborne Doppler Lidar Using a LES-based Simulator -- Chapter 25. All-Solid State Iron Resonance Lidar for Measurement of Temperature and Winds in the Upper Mesosphere and Lower Thermosphere -- Chapter 26. Improved Remote Operation Capabilities for the NASA GSFC Tropospheric Ozone Lidar for Routine Ozone Profiling for Satellite Evaluation -- Chapter 27. A wind, temperature, H2O and CO2 scanning lidar mobile observatory for a 3D thermodynamic view of the atmosphere -- Chapter 28. Low-Cost and Lightweight Hyperspectral Lidar for Mapping Vegetation Fluorescence -- Chapter 29. SO2 Plumes Observation with LMOL: Theory, Modeling, and Validation -- Chapter 30. Possible Use of Iodine Absorption/Fluorescence Cell in High-Spectral-Resolution Lidar -- Chapter 31. Ten Years of Interdisciplinary Lidar Applications at SCNU, Guangzhou -- Chapter 32. Feasibility studies of the dual-polarization imaging lidar based on the division-of-focal-plane scheme for atmospheric remote sensing -- Chapter 33. An Algorithm to Retrieve Aerosol Optical Properties from ATLID and MSI Measurements -- Chapter 34. Observation of Polar Stratospheric Clouds at Dome C, Antarctica -- Chapter 35. Laboratory Evaluation of the Lidar Particle Depolarization Ratio (PDR) of Sulfates, Soot, and Mineral Dust at 180.0° Lidar Backscattering Angle -- Chapter 36. Fresh biomass burning aerosol observed in Potenza with multiwavelength Raman Lidar and sun-photometer -- Chapter 37. Aerosol Studies with Spectrometric Fluorescence and Raman Lidar -- Chapter 38. Continuous Observations of Aerosol-Weather Relationship from a Horizontal Lidar to Simulate Monitoring of Radioactive Dust in Fukashima, Japan -- Chapter 39. Statistical Simulation of Laser Pulse Propagation through Cirrus-cloudy Atmosphere -- Chapter 40. Aerosol Spatial Distribution Observed by a Mobile Vehicle Lidar with Optics for Near Range Detection -- Chapter 41. Cloud Base Height Correlation between a Co-located Micro-Pulse Lidar and a Lufft CHM15k Ceilometer -- Chapter 42. Comparison of Local and Transregional Atmospheric Particles Over the Urmia Lake in Northwest Iran, Using a Polarization Lidar Recordings -- Chapter 43. Properties of Polar Stratospheric Clouds over the European Arctic from Ground-Based Lidar -- Chapter 44. Two decades analysis of cirrus cloud radiative effects by lidar observations in the frame of NASA MPLNET lidar network -- Chapter 45. Temporal Variability of the Aerosol Properties Using a Cimel Sun/Lunar Photometer over Thessaloniki, Greece: Synergy With the Upgraded THELISYS Lidar System -- Chapter 46. Long-Term Changes of Optical Properties of Mineral Dust and Its Mixtures Derived from Raman Polariza-tion Water Vapor Lidar in Central Europe -- Chapter 47. Planetary Boundary Layer Height Measurements Using MicroPulse DIAL -- Chapter 48. Performance Modeling of a Diode-Laser-Based Direct Detection Doppler Lidar -- Chapter 49. Observation of Water Vapor Profiles by Raman Lidar with 266 nm laser in Tokyo -- Chapter 50. A 355-NM DIRECT-DETECTION DOPPLER WIND LIDAR FOR VERTICAL ATMOSPHERIC MOTION -- Chapter 51. Aircraft Wake Vortex Recognition and Classification Based on Coherent Doppler Lidar and Convolutional Neural Networks -- Chapter 52. MicroPulse Differential Absorption Lidar for Temperature Retrieval in the Lower Troposphere -- Chapter 53. Long Term Calibration of a Pure Rotational Raman Lidar for Temperature Measurements Using Radiosondes and Solar Background -- Chapter 54. Powerful Raman-Lidar for water vapor in the free troposphere and lower stratosphere as well as temperature in the stratosphere and mesosphere -- Chapter 55. Observation of Rainfall Velocity and Raindrop Size Using Power Spectrum of Coherent Doppler Lidar -- Chapter 56. Comparison of Lower Tropospheric Water Vapor Vertical Distribution Measured with Raman lidar and DIAL and Their Impact of Data Assimilation in Numerical Weather Prediction Model -- Chapter 57. Temperature Variations in the Middle Atmosphere Studied with Rayleigh Lidar at Haikou (19.9°N, 110.3°E) -- Chapter 58. Convective boundary layer sensible and latent heat flux lidar observations and towards new model parametrizations -- Chapter 59. Observation of Structure of Marine Atmospheric Boundary Layer by Ceilometer over the Kuroshio Current.-Chapter 60. ABL Height Different Estimation by Lidar in the Frame of HyMeX SOP1 Campaign -- Chapter 61. Temporal Evolution of Wavelength and Orientation of Atmospheric Canopy Waves -- Chapter 62. Assessment of Planetary Boundary Layer Height Variations over a Mountain Region in Western Himalayas -- Chapter 63. Analysis of Updraft Characteristics from an Airborne Micro-Pulsed Doppler Lidar During FIREX-AQ -- Chapter 64. Diurnal Variability of MLH and Ozone in NYC Urban and Coastal Area from an Integrated Observation during LISTOS 2018 -- Chapter 65. Boundary Layer Dynamics, Aerosol Composition, and Air Quality in the Urban Background of Stuttgart in Winter -- Chapter 66. DIAL Ozone Measurement Capability Added to NASA’s HSRL-2 Instrument Demonstrates Troposheric Ozone Variability Over Houston Area -- Chapter 67. Trajectory Analysis of CO2 Concentration Increase Events in the Nocturnal Atmospheric Boundary Layer Observed by the Differential Absorption Lidar -- Chapter 68. Efficiency Assessment of Single Cell Raman Gas Mixture for DIAL Ozone Lidar -- Chapter 69. COmpact RamaN lidar for Atmospheric CO2 and ThERmodyNamic ProfilING - CONCERNING -- Chapter 70. Characterization of Recent Aerosol Events Occurring in the Subtropical North Atlantic Region Using a CIMEL CE376 GPN Micro-LiDAR -- Chapter 71. Tropospheric Ozone Differential Absorption Lidar (DIAL) Development at New York City -- Chapter 72. Accounting for the polarizing effects introduced from non ideal quarter-wave plates in lidar measurements of the circular depolarization ratio -- Chapter 73. Investigating the geometrical and optical properties of the persistent stratospheric aerosol layer observed over Thessaloniki, Greece during 2019 -- Chapter 74. New Lidar Data Processing Techniques for Improving the Detection Range and Accuracy of Atmospheric Gravity Wave Measurements -- Chapter 75. Extending the Useful Range of Fluorescence LIDAR Data by Applying the Layered Binning Technique -- Chapter 76. Interaction between sea wave and surface atmosphere by shallow angle LED lidar -- Chapter 77. First results of the COLOR (CDOM-proxy retrieval from aeOLus ObseRvations) project -- Chapter 78. Dual wavelength heterodyne LDA for velocity and size distribution measurements in ocean water flows -- Chapter 79. Mitigation Strategy for the Impact of Low Energy Laser Pulses in CALIOP Calibration and Level 2 Retrievals -- Chapter 80. Introducing the Cloud Aerosol Lidar for Global Scale Observations of the Ocean-Land-Atmosphere System – CALIGOLA -- Chapter 81. An Overview of the NASA Atmosphere Observing System Inclined Mission (AOS-I) and the Role of Backscatter Lidar -- Chapter 82. Proposal for the Space-borne Integrated Path Differential Absorption (IPDA) Lidar for Lower Tropospheric Water Vapor Observations -- Chapter 83. Assimilation of Aerosol Observations from the Future Spaceborne Lidar Onboard the AOS Mission into the MOCAGE Chemistry-Transport Model -- Chapter 84. Aerosol Optical Properties over Western Himalayas Region by Raman Lidar during the December 2019 Annular Solar Eclipse -- Chapte.
    Abstract: This volume presents papers from the biennial International Laser Radar Conference (ILRC), the world’s leading event in the field of atmospheric research using lidar. With growing environmental concerns to address such as air quality deterioration, stratospheric ozone depletion, extreme weather events, and changing climate, the lidar technique has never been as critical as it is today to monitor, alert, and help solve current and emerging problems of this century. The 30th occurrence of the ILRC unveils many of the newest results and discoveries in atmospheric science and laser remote sensing technology. The 30th ILRC conference program included all contemporary ILRC themes, leveraging on both the past events’ legacy and the latest advances in lidar technologies and scientific discoveries, with participation by young scientists particularly encouraged. This proceedings volume includes a compilation of cutting-edge research on the following themes: new lidar techniques and methodologies; measurement of clouds and aerosol properties; atmospheric temperature, wind, turbulence, and waves; atmospheric boundary layer processes and their role in air quality and climate; greenhouse gases, tracers, and transport in the free troposphere and above; the upper mesosphere and lower thermosphere; synergistic use of multiple instruments and techniques, networks and campaigns; model validation and data assimilation using lidar measurements; space-borne lidar missions, instruments and science; ocean lidar instrumentation, techniques, and retrievals; and past, present and future synergy of heterodyne and direct detection lidar applications. In addition, special sessions celebrated 50 years of lidar atmospheric observations since the first ILRC, comprising review talks followed by a plenary discussion on anticipated future directions.
    Type of Medium: Online Resource
    Pages: XXIV, 892 p. 374 illus., 352 illus. in color. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9783031378188
    Series Statement: Springer Atmospheric Sciences,
    DDC: 551.5
    Language: English
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    Publication Date: 2020-07-01
    Description: The U.S. Department of Energy Atmospheric Radiation Measurement (ARM) West Antarctic Radiation Experiment (AWARE) performed comprehensive meteorological and aerosol measurements and ground-based atmospheric remote sensing at two Antarctic stations using the most advanced instrumentation available. A suite of cloud research radars, lidars, spectral and broadband radiometers, aerosol chemical and microphysical sampling equipment, and meteorological instrumentation was deployed at McMurdo Station on Ross Island from December 2015 through December 2016. A smaller suite of radiometers and meteorological equipment, including radiosondes optimized for surface energy budget measurement, was deployed on the West Antarctic Ice Sheet between 4 December 2015 and 17 January 2016. AWARE provided Antarctic atmospheric data comparable to several well-instrumented high Arctic sites that have operated for many years and that reveal numerous contrasts with the Arctic in aerosol and cloud microphysical properties. These include persistent differences in liquid cloud occurrence, cloud height, and cloud thickness. Antarctic aerosol properties are also quite different from the Arctic in both seasonal cycle and composition, due to the continent’s isolation from lower latitudes by Southern Ocean storm tracks. Antarctic aerosol number and mass concentrations are not only non-negligible but perhaps play a more important role than previously recognized because of the higher sensitivities of clouds at the very low concentrations caused by the large-scale dynamical isolation. Antarctic aerosol chemical composition, particularly organic components, has implications for local cloud microphysics. The AWARE dataset, fully available online in the ARM Program data archive, offers numerous case studies for unique and rigorous evaluation of mixed-phase cloud parameterization in climate models.
    Print ISSN: 0003-0007
    Electronic ISSN: 1520-0477
    Topics: Geography , Physics
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    Publication Date: 2018-06-07
    Description: Polar cloud radiative forcing plays a crucial role in the determination of the surface and atmospheric energy balance through processes which are not yet fully understood. While there is a broad and fairly complete database of cloud measurements from several Arctic sites and field campaigns through the past two decades, the recent one-year long U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) West Antarctic Radiation Experiment (AWARE) field campaign at McMurdo Station has provided a hitherto unmatched multiple-instrument set of ground-based Antarctic cloud measurements. These observations are processed and used to derive the main cloud and liquid containing layer properties: occurrence fraction, cloud persistence and boundaries, and configuration relative to temperature and moisture inversions. The results are compared to previous Arctic observations. It is concluded that clouds and liquid-bearing layers over McMurdo Station are essentially less prevalent and persistent than their Arctic counterparts. However, they typically have higher bases and show a weaker temperature dependence than in the Arctic, suggesting a more “pristine” Antarctic atmosphere. In addition, the clouds (including both water phases) typically extend toward relatively lower altitudes, and their relation to inversions near cloud top is often similar to those observed in the Arctic. ©2018. American Geophysical Union. All Rights Reserved.
    Print ISSN: 2169-897X
    Electronic ISSN: 2169-8996
    Topics: Geosciences , Physics
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  • 4
    Publication Date: 2018-04-27
    Description: Liquid layers in clouds affect their microphysical processes, as well as the surface energy budget. Studies focusing on these and other areas of research are often in need of skillful estimation of liquid-bearing cloud layer boundaries. The bases of these layers are predominantly determined by ground-based lidar instruments. Most studies requiring liquid cloud base height (LCBH) information use either fixed lidar parameter (depolarization and/or backscatter cross section) thresholds or cloud base height data products that do not distinguish between ice and liquid, all of which might introduce inconsistencies and errors in the resolved LCBH. In this paper, two explicit LCBH detection algorithms are presented. The first algorithm uses the high spectral resolution lidar (HSRL) data. Examination of this algorithm in multiple cases and scenarios during numerous days and first-order comparison with microwave-radiometer data show satisfactory results. The second algorithm incorporates widely available micropulse lidar (MPL) data for the LCBH detection. A 1-year long comparison of data gathered at Barrow, Alaska, and McMurdo Station, Antarctica, which includes other cloud base detection methodologies (ceilometer, MPL value-added product cloud base height, and LCBHs detected using a fixed MPL depolarization threshold), emphasizes the merits of the presented MPL algorithm. Examination of several unusual LCBH configurations suggests that the current practice of operating lidar at a tilting angle of 4° off zenith may not be sufficient to avoid specular reflection from oriented ice crystals. Data collected at Madison Wisconsin are used to show that specular reflection may impact measurements even at 4°. ©2018. American Geophysical Union. All Rights Reserved.
    Print ISSN: 2169-897X
    Electronic ISSN: 2169-8996
    Topics: Geosciences , Physics
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  • 5
    Publication Date: 2019-01-01
    Description: The Cloud System Evolution in the Trades (CSET) study was designed to describe and explain the evolution of the boundary layer aerosol, cloud, and thermodynamic structures along trajectories within the North Pacific trade winds. The study centered on seven round trips of the National Science Foundation–National Center for Atmospheric Research (NSF–NCAR) Gulfstream V (GV) between Sacramento, California, and Kona, Hawaii, between 7 July and 9 August 2015. The CSET observing strategy was to sample aerosol, cloud, and boundary layer properties upwind from the transition zone over the North Pacific and to resample these areas two days later. Global Forecast System forecast trajectories were used to plan the outbound flight to Hawaii with updated forecast trajectories setting the return flight plan two days later. Two key elements of the CSET observing system were the newly developed High-Performance Instrumented Airborne Platform for Environmental Research (HIAPER) Cloud Radar (HCR) and the high-spectral-resolution lidar (HSRL). Together they provided unprecedented characterizations of aerosol, cloud, and precipitation structures that were combined with in situ measurements of aerosol, cloud, precipitation, and turbulence properties. The cloud systems sampled included solid stratocumulus infused with smoke from Canadian wildfires, mesoscale cloud–precipitation complexes, and patches of shallow cumuli in very clean environments. Ultraclean layers observed frequently near the top of the boundary layer were often associated with shallow, optically thin, layered veil clouds. The extensive aerosol, cloud, drizzle, and boundary layer sampling made over open areas of the northeast Pacific along 2-day trajectories during CSET will be an invaluable resource for modeling studies of boundary layer cloud system evolution and its governing physical processes.
    Print ISSN: 0003-0007
    Electronic ISSN: 1520-0477
    Topics: Geography , Physics
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    Publication Date: 2020-10-06
    Description: Aerosol retrieval using ozone lidars in the ultraviolet spectral region is challenging but necessary for correcting aerosol interference in ozone retrieval and for studying the ozone–aerosol correlations. This study describes the aerosol retrieval algorithm for a tropospheric ozone lidar, quantifies the retrieval error budget, and intercompares the aerosol retrieval products at 299 nm with those at 532 nm from a high spectral resolution lidar (HSRL) and with those at 340 nm from an AErosol RObotic NETwork radiometer. After the cloud-contaminated data are filtered out, the aerosol backscatter or extinction coefficients at 30 m and 10 min resolutions retrieved by the ozone lidar are highly correlated with the HSRL products, with a coefficient of 0.95 suggesting that the ozone lidar can reliably measure aerosol structures with high spatiotemporal resolution when the signal-to-noise ratio is sufficient. The actual uncertainties of the aerosol retrieval from the ozone lidar generally agree with our theoretical analysis. The backscatter color ratio (backscatter-related exponent of wavelength dependence) linking the coincident data measured by the two instruments at 299 and 532 nm is 1.34±0.11, while the Ångström (extinction-related) exponent is 1.49±0.16 for a mixture of urban and fire smoke aerosols within the troposphere above Huntsville, AL, USA.
    Print ISSN: 1867-1381
    Electronic ISSN: 1867-8548
    Topics: Geosciences
    Published by Copernicus on behalf of European Geosciences Union.
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    Publication Date: 1995-01-01
    Print ISSN: 0148-0227
    Electronic ISSN: 2156-2202
    Topics: Geosciences
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  • 9
    Publication Date: 2020-02-01
    Print ISSN: 1545-598X
    Electronic ISSN: 1558-0571
    Topics: Architecture, Civil Engineering, Surveying , Geography , Geosciences
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    Publication Date: 2017-06-09
    Description: Multiband downwelling thermal measurements of zenith sky radiance, along with cloud boundary heights, were used in a retrieval algorithm to estimate cloud optical depth and effective particle diameter of thin ice clouds in the Canadian High Arctic. Ground-based thermal infrared (IR) radiances for 150 semitransparent ice clouds cases were acquired at the Polar Environment Atmospheric Research Laboratory (PEARL) in Eureka, Nunavut, Canada (80° N, 86° W). We analyzed and quantified the sensitivity of downwelling thermal radiance to several cloud parameters including optical depth, effective particle diameter and shape, water vapor content, cloud geometric thickness and cloud base altitude. A lookup table retrieval method was used to successfully extract, through an optimal estimation method, cloud optical depth up to a maximum value of 2.6 and to separate thin ice clouds into two classes: (1) TIC1 clouds characterized by small crystals (effective particle diameter  ≤  30 µm), and (2) TIC2 clouds characterized by large ice crystals (effective particle diameter  〉  30 µm). The retrieval technique was validated using data from the Arctic High Spectral Resolution Lidar (AHSRL) and Millimeter Wave Cloud Radar (MMCR). Inversions were performed over three polar winters and results showed a significant correlation (R2 =  0.95) for cloud optical depth retrievals and an overall accuracy of 83 % for the classification of TIC1 and TIC2 clouds. A partial validation relative to an algorithm based on high spectral resolution downwelling IR radiance measurements between 8 and 21 µm was also performed. It confirms the robustness of the optical depth retrieval and the fact that the broadband thermal radiometer retrieval was sensitive to small particle (TIC1) sizes.
    Print ISSN: 1867-1381
    Electronic ISSN: 1867-8548
    Topics: Geosciences
    Published by Copernicus on behalf of European Geosciences Union.
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