Airborne and Ground-Based Measurements Using a High-Performance Raman Lidar

Journal of Atmospheric and Oceanic Technology - Tập 27 Số 11 - Trang 1781-1801 - 2010
David N. Whiteman1, Kurt Rush1, Scott D. Rabenhorst2, Wayne Welch3, Martin Cadirola4, Gerry McIntire5, Felicita Russo6, Mariana Adam7, D. D. Venable8, R. Connell8, Igor Veselovskii9, Ricardo Forno10, B. Mielke11, Bernhard Stein11, Thierry Leblanc12, Stuart McDermid12, Holger Vömel13
1NASA GSFC, Greenbelt, Maryland
2University of Maryland-College Park, College Park, Maryland.
3Welch Mechanical Designs, Belcamp, Maryland
4Ecotronics, LLC, Clarksburg, Maryland
5SGT, Lanham, Maryland
6CNR, Potenza, Italy
7European Commission JRC, Ispra, Italy
8Howard University, Washington, D.C.
9University of Maryland Baltimore County, Baltimore, Maryland
10Universidad Mayor de San Andres, La Paz, Bolivia
11Licel, Berlin, Germany
12Jet Propulsion Laboratory, California Institute of Technology, Table Mountain Facility, Table Mountain, California
13Lindenberg Observatory, Lindenberg, Germany

Tóm tắt

Abstract A high-performance Raman lidar operating in the UV portion of the spectrum has been used to acquire, for the first time using a single lidar, simultaneous airborne profiles of the water vapor mixing ratio, aerosol backscatter, aerosol extinction, aerosol depolarization and research mode measurements of cloud liquid water, cloud droplet radius, and number density. The Raman Airborne Spectroscopic Lidar (RASL) system was installed in a Beechcraft King Air B200 aircraft and was flown over the mid-Atlantic United States during July–August 2007 at altitudes ranging between 5 and 8 km. During these flights, despite suboptimal laser performance and subaperture use of the telescope, all RASL measurement expectations were met, except that of aerosol extinction. Following the Water Vapor Validation Experiment—Satellite/Sondes (WAVES_2007) field campaign in the summer of 2007, RASL was installed in a mobile trailer for ground-based use during the Measurements of Humidity and Validation Experiment (MOHAVE-II) field campaign held during October 2007 at the Jet Propulsion Laboratory’s Table Mountain Facility in southern California. This ground-based configuration of the lidar hardware is called Atmospheric Lidar for Validation, Interagency Collaboration and Education (ALVICE). During the MOHAVE-II field campaign, during which only nighttime measurements were made, ALVICE demonstrated significant sensitivity to lower-stratospheric water vapor. Numerical simulation and comparisons with a cryogenic frost-point hygrometer are used to demonstrate that a system with the performance characteristics of RASL–ALVICE should indeed be able to quantify water vapor well into the lower stratosphere with extended averaging from an elevated location like Table Mountain. The same design considerations that optimize Raman lidar for airborne use on a small research aircraft are, therefore, shown to yield significant dividends in the quantification of lower-stratospheric water vapor. The MOHAVE-II measurements, along with numerical simulation, were used to determine that the likely reason for the suboptimal airborne aerosol extinction performance during the WAVES_2007 campaign was a misaligned interference filter. With full laser power and a properly tuned interference filter, RASL is shown to be capable of measuring the main water vapor and aerosol parameters with temporal resolutions of between 2 and 45 s and spatial resolutions ranging from 30 to 330 m from a flight altitude of 8 km with precision of generally less than 10%, providing performance that is competitive with some airborne Differential Absorption Lidar (DIAL) water vapor and High Spectral Resolution Lidar (HSRL) aerosol instruments. The use of diode-pumped laser technology would improve the performance of an airborne Raman lidar and permit additional instrumentation to be carried on board a small research aircraft. The combined airborne and ground-based measurements presented here demonstrate a level of versatility in Raman lidar that may be impossible to duplicate with any other single lidar technique.

Từ khóa


Tài liệu tham khảo

Adam, 2007, Performance of the Howard University Raman lidar during 2006 WAVES campaign., J. Optoelec. Adv. Mater., 9, 3522

Adam, 2010, Water vapor measurements by Howard University Raman lidar during the WAVES 2006 campaign., J. Atmos. Oceanic Technol., 27, 42, 10.1175/2009JTECHA1331.1

Ansmann, 1990, Measurement of atmospheric aerosol extinction profiles with a Raman lidar., Opt. Lett., 15, 746, 10.1364/OL.15.000746

Ansmann, 1992, Independent measurement of extinction and backscatter profiles in cirrus clouds by using a combined Raman elastic–backscatter lidar., Appl. Opt., 31, 7113, 10.1364/AO.31.007113

Battan, 1957, Artificial Stimulation of Rain.

Behrendt, 2002, Calculation of the calibration constant of polarization lidar and its dependency on atmospheric temperature., Opt. Express, 10, 805, 10.1364/OE.10.000805

Behrendt, 2007, Intercomparison of water vapor data measured with lidar during IHOP_2002. Part I: Airborne to ground-based lidar systems and comparisons with chilled-mirror hygrometer radiosondes., J. Atmos. Oceanic Technol., 24, 3, 10.1175/JTECH1924.1

Bendsten, 2000, High-resolution incoherent Fourier transform Raman spectrum of the fundamental band of 14N2., J. Raman Spectrosc., 31, 433, 10.1002/1097-4555(200005)31:5<433::AID-JRS554>3.0.CO;2-T

Boers, 2009, What are the demands on an observational program to detect trends in upper tropospheric water vapor anticipated in the 21st century?, Geophys. Res. Lett., 36, L19806, 10.1029/2009GL040044

Bukin, 1983, Investigation of Raman spectra of atmospheric gases., Zh. Prikkadnoi Spektrosk., 38, 776

Burris, 1998, Lidar temperature measurements during the Tropical Ozone Transport Experiment (TOTE)/Vortex OzoneTransport Experiment (VOTE) mission., J. Geophys. Res., 103, 3505, 10.1029/97JD03129

Burris, 2002, Validation of temperature measurements from the airborne Raman ozone temperature and aerosol lidar during SOLVE., J. Geophys. Res., 107, 8286, 10.1029/2001JD001028

Demoz, 2006, The dryline on 22 May 2002 during IHOP-2002: Convective-scale measurements at the profiling site., Mon. Wea. Rev., 134, 294, 10.1175/MWR3054.1

Di Girolamo, 2004, Rotational Raman lidar measurements of atmospheric temperature in the UV., Geophys. Res. Lett., 31, L01106, 10.1029/2003GL018342

Esselborn, 2008, Airborne high spectral resolution lidar for measuring aerosol extinction and backscatter coefficients., Appl. Opt., 47, 346, 10.1364/AO.47.000346

Eyring, 2007, Multimodel projections of stratospheric ozone in the 21st century., J. Geophys. Res., 112, D16303, 10.1029/2006JD008332

Ferrare, 1999, LASE measurements of water vapor, aerosols, and clouds during CAMEX-3.

Ferrare, 2006, Evaluation of daytime measurements of aerosols and water vapor made by an operational Raman lidar over the Southern Great Plains., J. Geophys. Res., 111, D05S08, 10.1029/2005JD005836

Hair, 2008, Airborne high spectral resolution lidar for profiling aerosol optical properties., Appl. Opt., 47, 6734, 10.1364/AO.47.006734

Harms, 1978, Geometrical compression of lidar return signals., Appl. Opt., 17, 1131, 10.1364/AO.17.001131

Heaps, 1996, Airborne Raman lidar., Appl. Opt., 35, 7128, 10.1364/AO.35.007128

Hobbs, 1980, The structures of summer convective clouds in eastern Montana. I: Natural clouds., J. Appl. Meteor., 19, 645, 10.1175/1520-0450(1980)019<0645:TSOSCC>2.0.CO;2

Inaba, 1972, Laser-Raman radar., Opto-Electron., 4, 101, 10.1007/BF01421175

Kamineni, 2003, Impact of high resolution water vapor cross-sectional data on hurricane forecasting., Geophy. Res. Lett., 30, 1234, 10.1029/2002GL016741

Kiemle, 2007, Water vapour and wind profiles from collocated airborne lidars during COPS 2007., Lidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing III, 10.1117/12.737931

Leblanc, 2008, Accuracy of Raman lidar water vapor calibration and its applicability to long-term measurements., Appl. Opt., 47, 5592, 10.1364/AO.47.005592

Melfi, 1989, Observation of atmospheric fronts using Raman lidar moisture measurements., J. Appl. Meteor., 28, 789, 10.1175/1520-0450(1989)028<0789:OOAFUR>2.0.CO;2

Melfi, 1997, Observation of Raman scattering by cloud droplets in the atmosphere., Appl. Opt., 36, 3551, 10.1364/AO.36.003551

Oman, 2008, Understanding the changes of stratospheric water vapor in coupled chemistry–climate model simulations., J. Atmos. Sci., 65, 3278, 10.1175/2008JAS2696.1

Poberaj, 2002, Airborne all-solid-state DIAL for water vapour measurements in the tropopause region: System description and assessment of accuracy., Appl. Phys., 75B, 165, 10.1007/s00340-002-0965-x

Reichardt, 2002, Correlations among the optical properties of cirrus-cloud particles: Implications for spaceborne remote sensing., Geophys. Res. Lett., 29, 1029, 10.1029/2002GL014836

Rizi, 2004, Raman lidar observations of cloud liquid water., Appl. Opt., 43, 6440, 10.1364/AO.43.006440

Russo, F. , 2007: An investigation of Raman lidar aerosol measurements and their application to the study of the aerosol indirect effect. Ph.D. dissertation, University of Maryland, Baltimore County, 209 pp.

Sherlock, 1999, Implementation and validation of a Raman lidar measurement of middle and upper tropospheric water vapor., Appl. Opt., 38, 5838, 10.1364/AO.38.005838

Slusher, 1975, Temperature dependence and cross sections of some Stokes and anti-Stokes Raman lines in Ice Ih., Appl. Opt., 14, 2116, 10.1364/AO.14.002116

Soden, 2005, The radiative signature of upper tropospheric moistening., Science, 310, 841, 10.1126/science.1115602

Veselovskii, 2000, Raman lidar for the study of liquid water and water vapor in the troposphere., Appl. Phys., 71B, 113, 10.1007/s003400000290

Vömel, 2007, Accuracy of tropospheric and stratospheric water vapor measurements by the cryogenic frost point hygrometer: Instrumental details and observations., J. Geophys. Res., 112, D08305, 10.1029/2007JD008698

Vömel, 2007, Validation of Aura Microwave Limb Sounder water vapor by balloonborne cryogenic frost point hygrometer measurements., J. Geophys. Res., 112, D24S37, 10.1029/2007JD008698

Vömel, 2007, Intercomparisons of sratospheric water vapor sensors: FLASH-B and NOAA/CMDL frost-point hygrometer., J. Atmos. Oceanic Technol., 24, 941, 10.1175/JTECH2007.1

Wang, 2004, A new way to measure cirrus cloud ice water content by using ice Raman scatter with Raman lidar., Geophys. Res. Lett., 31, L15101, 10.1029/2004GL020004

Weber, 1979, Raman Spectroscopy of Gases and Liquids., 10.1007/978-3-642-81279-8

Whiteman, 1999, Cloud liquid water, mean droplet radius and number density measurements using a Raman lidar., J. Geophys. Res., 104, 31411, 10.1029/1999JD901004

Whiteman, 1992, Raman lidar system for the measurement of water vapor and aerosols in the earth’s atmosphere., Appl. Opt., 31, 3068, 10.1364/AO.31.003068

Whiteman, 2001, Raman lidar measurements of water vapor and cirrus clouds during the passage of Hurricane Bonnie., J. Geophys. Res., 106, 5211, 10.1029/2000JD900621

Whiteman, 2001, Performance modeling of an airborne Raman water vapor lidar., Appl. Opt., 40, 375, 10.1364/AO.40.000375

Whiteman, 2004, Subtropical cirrus cloud extinction to backscatter ratios measured by Raman lidar during CAMEX-3., Geophys. Res. Lett., 31, L12105, 10.1029/2004GL020003

Whiteman, 2006, Raman water vapor lidar measurements during the International H2O Project. Part I: Instrumentation and analysis techniques., J. Atmos. Oceanic Technol., 23, 157, 10.1175/JTECH1838.1

Whiteman, 2006, Raman water vapor lidar measurements during the International H2O Project. Part II: Instrument comparisons and case studies., J. Atmos. Oceanic Technol., 23, 170, 10.1175/JTECH1839.1

Whiteman, 2007, Demonstration measurements of water vapor, cirrus clouds, and carbon dioxide using a high-performance Raman lidar., J. Atmos. Oceanic Technol., 24, 1377, 10.1175/JTECH2058.1

Wulfmeyer, 2006, Four-dimensional variational assimilation of water vapor differential absorption lidar data: The first case study within IHOP_2002., Mon. Wea. Rev., 134, 209, 10.1175/MWR3070.1

Zhang, 2006, Low-level jets over the mid-Atlantic states: Warm season climatology and a case study., J. Appl. Meteor. Climatol., 45, 194, 10.1175/JAM2313.1