LABLE: A multi-institutional, student-led, atmospheric boundary layer experiment

Bulletin of the American Meteorological Society

Volumn 96, Issue 10, 2015, Pages 1743-1764

  Klein, P ^a   Bonin, T A ^a   Newman, J F ^a   Turner, D D ^b   Chilson, P B ^c   Wainwright, C E ^a   Blumberg, W G ^a   Mishra, S ^a   Carney, M ^a   Jacacobsen, E P ^a   Wharton, S ^d   Newsom, R K ^e  

^a UNIVERSITY OF OKLAHOMA   (United States)

^b NATIONAL SEVERE STORMS LABORATORY   (United States)

^c University of Oklahoma   (United States)

^d LAWRENCE LIVERMORE NATIONAL LABORATORY   (United States)

^e PACIFIC NORTHWEST NATIONAL LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC BOUNDARY LAYER; BOUNDARY LAYER FLOW; BOUNDARY LAYERS; OPTICAL RADAR; STUDENTS; TURBULENCE;

ABOVE GROUND LEVEL; BOUNDARY LAYER PROCESS; GRADUATE STUDENTS; HIGH TEMPORAL RESOLUTION; INFRARED GAS ANALYZERS; INTEGRATED SENSING; PRINCIPAL INVESTIGATORS; TEMPERATURE PROFILES;

ATMOSPHERIC THERMODYNAMICS;

EID: 84946012450     PISSN: 00030007     EISSN: None     Source Type: Journal    
DOI: 10.1175/BAMS-D-13-00267.1     Document Type: Article

References (84)

1. Acevedo, O. C., and D. R. Fitzjarrald, 2001: The early evening surface-layer transition: Temporal and spatial variability. J. Atmos. Sci., 58, 2650-2667, doi:10.1175/1520-0469(2001)058〈2650:TEESLT〉2 .0.CO;2.
2. Anderson, P. S., 2003: Fine-scale structure observed in a stable atmospheric boundary layer by sodar and kite-borne tethersonde. Bound.-Layer Meteor., 107, 323-351, doi:10.1023/A:1022171009297.
3. Baas, P., F. C. Bosveld, H. Klein Baltink, and A. A. M. Holtslag, 2009: A climatology of nocturnal low-level jet at Cabauw. J. Appl. Meteor. Climatol., 48, 1627-1642, doi:10.1175/2009JAMC1965.1.
4. Baklanov, A. A., and Coauthors, 2011: The nature, theory, and modeling of atmospheric planetary boundary layers. Bull. Amer. Meteor. Soc., 92, 123-128, doi:10.1175/2010BAMS2797.1.
5. Banta, R. M., 2008: Stable-boundary-layer regimes from the perspective of the low-level jet. Acta Geophys., 56, 58-87, doi:10.2478/s11600-007-0049-8.
6. R. K. Newsom, J. K. Lundquist, Y. L. Pichugina, R. L. Coulter, and L. Mahrt, 2002: Nocturnal low-level jet characteristics over Kansas during CASES-99. Bound.-Layer Meteor., 105, 221-252, doi:10.1023/A:1019992330866.
7. Y. L. Pichugina, and R. K. Newsom, 2003: Relationship between low-level jet properties and turbulence kinetic energy in the nocturnal stable boundary layer. J. Atmos. Sci., 60, 2549-2555, doi:10.1175/1520-0469(2003)060〈2549:RBLJPA〉2.0.CO;2.
8. W. A. Brewer, 2006: Turbulent velocity-variance profiles in the stable boundary layer generated by a nocturnal low-level jet. J. Atmos. Sci., 63, 2700-2719, doi:10.1175/JAS3776.1.
9. N. D. Kelley, R. M. Hardesty, and W. A. Brewer, 2013: Wind energy meteorology: Insight into wind properties in the turbine-rotor layer of the atmosphere from high-resolution Doppler lidar. Bull. Amer. Meteor. Soc, 94, 883-902, doi:10.1175/BAMS-D-11-00057.1.
10. Barthelmie, R. J., and Coauthors, 2014: 3D wind and turbulence characteristics of the atmospheric boundary layer. Bull. Amer. Meteor. Soc., 95, 743-756, doi:10.1175/BAMS-D-12-00111.1.
11. Beyrich, F., D. Kalass, and U. Weisensee, 1997: Influence of the nocturnal low-level jet on the vertical and mesoscale structure of the stable boundary layer as revealed from Doppler-sodar-observations. Acoustic Remote Sensing Applications, S. P. Singal, Ed., Narosa Publishing, 236-246.
12. Blackadar, A. K., 1957: Boundary layer wind maxima and their significance for the growth of nocturnal inversions. Bull. Amer. Meteor. Soc., 38, 283-290.
13. Bonin, T. A., 2015: Nocturnal boundary layer and low-level jet characteristics under different turbulence regimes. Ph.D. dissertation, University of Oklahoma, 169 pp.
14. W. G. Blumberg, P. M. Klein, and P. B. Chilson, 2015. Thermodynamic and turbulence characteristics of the southern Great Plains nocturnal boundary layer under differing turbulent regimes. Bound.-Layer Meteor., in press.
15. Bonner, W. D., 1968: Climatology of the low level jet. Mon. Wea. Rev., 96, 833-850, doi:10.1175/1520-0493(1968)096〈0833:COTLLJ〉2.0.CO;2.
16. Brook, R. R., 1985: The Koorin nocturnal low-level jet. Bound.-Layer Meteor., 32, 133-154, doi:10.1007/BF00120932.
17. Calhoun, R., R. Heap, M. Princevac, R. Newsom, H. Fernando, and D. Ligon, 2006: Virtual towers using coherent Doppler lidar during the Joint Urban 2003 dispersion experiment. J. Appl. Meteor. Climatol., 45, 1116-1126, doi:10.1175/JAM2391.1.
18. Cariou, J.-P., 2011: Pulsed lidars. Remote Sensing for Wind Energy, A. Peña and C. B. Hasager, Eds., Risø Rep. Ris0-I-3184(EN), 65-81.
19. Comstock, J. M., and Coauthors, 2007: An intercompari-son of microphysical retrieval for upper-tropospheric ice clouds. Bull. Amer. Meteor. Soc., 88, 191-204, doi:10.1175/BAMS-88-2-191.
20. Cook, D. R., 2011: Eddy correlation flux measurement system handbook. Department of Energy Rep. DOE/ SC-ARM/TR-052, 16 pp. [Available online at www .arm.gov/publications/tech-reports/handbooks/ecor-handbook.pdf?id=73.]
21. Coulter, R. L., and M. A. Kallistratova, 2004: Two decades of progress in SODAR techniques: A review of 11 ISARS proceedings. Meteor. Atmos. Phys., 85, 3-19, doi:10.1007/s00703-003-0030-2.
22. Feltz, W. F., W. L. Smith, R. O. Knuteson, H. E. Revercomb, H. M. Woolf, and H. B. Howell, 1998: Meteorological applications of temperature and water vapor retrievals from the ground-based Atmospheric Emitted Radiance Interferometer (AERI). J. Appl. Meteor., 37, 857-875, doi:10.1175/1520-0450(1998)037〈0857:MAOTAW〉2.0.CO;2.
23. H. B. Howell, R. O. Knuteson, H. Woolf, and H. E. Revercomb, 2003: Near-continuous profiling of temperature, moisture, and atmospheric stability using the Atmospheric Emitted Radiance Interferometer (AERI). J. Appl. Meteor., 42, 584-597, doi:10.1175/1520-0450(2003)042〈0584:NPOTMA〉2.0.CO;2.
24. Fernando, H. J. S., and J. C. Weil, 2010: Whither the stable boundary layer? A shift in the research agenda. Bull. Amer. Meteor. Soc., 91, 1475-1484, doi:10.1175/2010BAMS2770.1.
25. Ferrare, R. A., and Coauthors, 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, doi:10.1029/2005JD005836.
26. Fischer, M. L., 2004: Carbon Dioxide Flux Measurement Systems (CO2FLX) handbook. Department of Energy Rep. DOE/SC-ARM/TR-048, 12 pp. [Available online at www.arm.gov/publications/tech-reports/handbooks/co2flx-handbook.pdf?id=44.]
27. Foken, T., 2008: Micrometeorology. Springer, 299 pp.
28. Friedrich, K., J. K. Lundquist, M. Aitken, E. A. Kalina, and R. F. Marshall, 2012: Stability and turbulence in the atmospheric boundary layer: A comparison of remote sensing and tower observations. Geophys. Res. Lett., 39, L03801, doi:10.1029/2011GL050413.
29. Gero, P. J., and D. D. Turner, 2011: Long-term trends in downwelling spectral infrared radiance over the U.S. southern Great Plains. J. Climate, 24, 4831-4843, doi:10.1175/2011JCLI4210.1.
30. Goldsmith, J. E. M., F. H. Blair, S. E. Bisson, and D. D. Turner, 1998: Turn-key Raman lidar for profiling water vapor, clouds, and aerosols. Appl. Opt., 37, 4979-4990, doi:10.1364/AO.37.004979.
31. Hall, F. F., Jr., J. G. Edinger, and W. D. Neff, 1975: Convec-tive plumes in the planetary boundary layer, investigated with an acoustic echo sounder. J. Appl. Meteor., 14, 513-523, doi:10.1175/1520-0450(1975)014〈0513:CPITPB〉2.0.CO;2.
32. Hoecker, W. H., 1963: Three southerly low-level jet systems delineated by the Weather Bureau special pibal network of 1961. Mon. Wea. Rev., 91, 573-582, doi:10.1175/1520-0493(1963)091〈0573:TSLJSD〉2.3.CO;2.
33. Højstrup, J., 1993: A statistical data screening procedure. Meas. Sci. Technol., 4, 153-157, doi:10.1088/0957-0233/4/2/003.
34. Holtslag, A. A. M., and Coauthors, 2013: Stable atmospheric boundary layers and diurnal cycles: Challenges for weather and climate models. Bull. Amer. Meteor. Soc., 94, 1691-1706, doi:10.1175/BAMS-D-11-00187.1.
35. Hu, X.-M., P. Klein, and M. Xue, 2013a: Evaluation of the updated YSU planetary boundary layer scheme within WRF for wind resource and air quality assessments. J. Geophys. Res. Atmos., 118, 10 490-10 505, doi:10.1002/jgrd.50823.
36. J. K. Lundquist, F. Zhang, and Y. Qi, 2013b: Impact of low-level jets on the nocturnal urban heat island intensity in Oklahoma City. J. Appl. Meteor. Climatol., 52, 1779-1802, doi:10.1175/JAMC-D-12-0256.1.
37. F. Zhang, D. Doughty, and J. Fuentes, 2013c: Impact of the vertical mixing induced by low-level jets on boundary layer ozone concentration. Atmos. Environ., 70, 123-130, doi:10.1016/j .atmosenv.2012.12.046.
38. Huffaker, R. M., and R. M. Hardesty, 1996: Remote sensing of atmospheric wind velocities using solidstate and CO2 coherent laser systems. Proc. IEEE, 84, 181-204, doi:10.1109/5.482228.
39. Lungo, G. V., Y.-T. Wu, and F. Porté-Agel, 2013: Field measurements of wind turbine wakes with lidars. J. Atmos. Oceanic Technol., 30, 274-287, doi:10.1175/JTECH-D-12-00051.1.
40. Kaimal, J. C., and J. J. Finnigan, 1994: Atmospheric Boundary Layer Flows: Their Structure and Measurement. Oxford University Press, 304 pp.
41. Klein, P. M., X.-M. Hu, and M. Xue, 2014: Impacts of mixing processes in the nocturnal atmospheric boundary layer on urban ozone concentrations. Bound.-Layer Meteor., 150, 107-130, doi:10.1007/s10546-013-9864-4.
42. Knuteson, R. O., and Coauthors, 2004a: The Atmospheric Emitted Radiance Interferometer (AERI). Part I: Instrument design. J. Atmos. Oceanic Technol., 21, 1763-1776, doi:10.1175/JTECH-1662.1.
43. - Coauthors, 2004b: The Atmospheric Emitted Radiance Interferometer (AERI). Part II: Instrument performance. J. Atmos. Oceanic Technol., 21, 1777-1789, doi:10.1175/JTECH-1663.1.
44. Lenschow, D. H., V. Wulfmeyer, and C. Senff, 2000: Measuring second- through fourth-order moments in noisy data. J. Atmos. Oceanic Technol., 17, 1330-1347, doi:10.1175/1520-0426(2000)017〈1330:MSTFOM〉2.0.CO;2.
45. Lothon, M., D. H. Lenschow, and S. D. Mayor, 2006: Coherence and scale of vertical velocity in the convective boundary layer from a Doppler lidar. Bound.-Layer Meteor., 121, 521-536, doi:10.1007/s10546-006-9077-1.
46. Mace, G. G., T. P. Ackerman, P. Minnis, and D. F. Young, 1998: Cirrus layer microphysical properties derived from surface-based millimeter radar and infrared interferometer data. J. Geophys. Res., 103, 23 207-23 216, doi:10.1029/98JD02117.
47. Mahrt, L., 1999: Stratified atmospheric boundary layers. Bound.-Layer Meteor., 90, 375-396, doi:10.1023/A:1001765727956.
48. - 2014: Stably stratified atmospheric boundary layers. Annu. Rev. Fluid Mech., 46, 23-45, doi:10.1146/annurev-fluid-010313-141354.
49. Mather, J. H., and J. W. Voyles, 2013: The ARM Climate Research Facility: A review of structure and capabilities. Bull. Amer. Meteor. Soc., 94, 377-392, doi:10.1175/BAMS-D-11-00218.1.
50. Mitchell, M. K., R. W. Arritt, and K. Labas, 1995: An hourly climatology of the summertime Great Plains low-level jet using wind profiler observations. Wea. Forecasting, 10, 576-591, doi:10.1175/1520-0434(1995)010〈0576:ACOTWS〉2.0.CO;2.
51. Mlawer, E. J., V. H. Payne, J.-L. Moncet, J. S. Delamere, M. J. Alvarado, and D. C. Tobin, 2012: Development and recent evaluation of the MT-CKD model of continuum absorption. Philos. Trans. Roy. Meteor. Soc., 370A, 2520-2556, doi:10.1098/rsta.2011.0295.
52. Newman, J. F., 2015: Optimizing lidar scanning strategies for wind energy turbulence measurements. Ph.D. dissertation, University of Oklahoma, 212 pp.
53. Newsom, R. K., R. Calhoun, D. Ligon, and J. Allwine, 2008: Linearly organized turbulence structures observed over a suburban area by dual-Doppler lidar. Bound.-Layer Meteor., 127, 111-130, doi:10.1007/s10546-007-9243-0.
54. D. D. Turner, B. Mielke, M. Clayton, R. A. Ferrare, and C. Sivaraman, 2009: The use of simultaneous analog and photon counting detection for Raman lidar. Appl. Opt, 48, 3903-3914, doi:10.1364/AO.48.003903.
55. J. E. M. Goldsmith, 2013: Long-term evaluation of temperature profiles measured by an operational Raman lidar. J. Atmos. Oceanic Technol., 30, 1616-1634, doi:10.1175/JTECH-D-12-00138.1.
56. NRC, 2009: Observing Weather and Climate from the Ground Up: A Nationwide Network of Networks. Committee on Developing Mesoscale Meteorological Observational Capabilities to Meet Multiple National Needs, 250 pp.
57. - 2010: When Weather Matters: Science and Services to Meet Critical Societal Needs. Committee on Progress and Priorities of U.S. Weather Research and Research-to-Operations Activities, 198 pp.
58. Parish, T. R., A. R. Rodi, and R. D. Clark, 1988: A case study of the summertime Great Plains low level jet. Mon. Wea. Rev., 116, 94-105, doi:10.1175/1520 -0493(1988)116〈0094:ACSOTS〉2.0.CO;2.
59. Pearson, G., F. Davies, and C. Collier, 2009: An analysis of the performance of the UFAM pulsed Doppler lidar for observing the boundary layer. J. Atmos. Oceanic Technol., 26, 240-250, doi:10.1175/2008JTECHA1128.1.
60. Sathe, A., 2012: Influence of wind conditions on wind turbine loads and measurement of turbulence using lidars. Ph.D. thesis, Delft University, 158 pp.
61. - J. Mann, 2012: Turbulence measurements using six lidar beams. Extended Abstracts, 16th Int. Symp. for the Advancement of Boundary-Layer Remote Sensing, Boulder, CO, NOAA-CIRES, 302-305.
62. - J. Gottschall, and M. S. Courtney, 2011: Can wind lidars measure turbulence? J. Atmos. Oceanic Technol., 28, 853-868, doi:10.1175/JTECH -D-10-05004.1.
63. Song, J., K. Liao, R. L. Coulter, and B. M. Lesht, 2005: Climatology of the low-level jet at the Southern Great Plains Atmospheric Boundary Layer Experiments site. J. Appl. Meteor., 44, 1593-1606, doi:10.1175/JAM2294.1.
64. Stensrud, D. J., 1996: Importance oflow-level jets to climate: A review. J. Climate, 9, 1698-1711, doi:10.1175/1520-0442(1996)009〈1698:IOLLJT〉2.0.CO;2.
65. Strauch, R. G., D. A. Merritt, K. P. Moran, K. B. Earnshaw, and D. V. De Kamp, 1984: The Colorado Wind-Profiling Network. J. Atmos. Oceanic Technol., 1, 37-49, doi:10.1175/1520-0426(1984)001〈0037:TCWPN〉2.0.CO;2.
66. Stull, R. B., 1988: An Introduction to Boundary Layer Meteorology. Springer, 684 pp.
67. Tobin, D. C., and Coauthors, 1999: Downwelling spectral radiance observation at the SHEBA ice station: Water vapor continuum measurements from 17 to 26 urn. J. Geophys. Res., 104, 2081-2092, doi:10.1029/1998JD200057.
68. Träumner, K., C. Kottmeier, U. Corsmeier, and A. Wiser, 2011: Convective boundary-layer entrainment: Short review and progress using Doppler lidar. Bound.-Layer Meteor., 141, 369-391, doi:10.1007/s10546-011-9657-6.
69. Turner, D. D., 2007: Improved ground-based liquid water path retrievals using a combined infrared and microwave approach. J. Geophys. Res., 112, D15204, doi:10.1029/2007JD008530.
70. - 2008: Ground-based retrievals of optical depth, effective radius, and composition of airborne mineral dust above the Sahel. J. Geophys. Res., 113, D00E03, doi:10.1029/2008JD010054.
71. - and J. E. M. Goldsmith, 1999: Twenty-four-hour Raman lidar water vapor measurements during the Atmospheric Radiation Measurement program's 1996 and 1997 water vapor intensive observation periods. J. Atmos. Oceanic Technol., 16, 1062-1076, doi:10.1175/1520-0426(1999)016〈1062:TFHRLW〉2.0.CO;2.
72. U. Löhnert, 2014: Information content and uncertainties in thermodynamic profiles and liquid cloud properties retrieved from the ground-based Atmospheric Emitted Radiance Interferometer (AERI). J. Appl. Meteor. Climatol., 53, 752-771, doi:10.1175/JAMC-D-13-0126.1.
73. R. A. Ferrare, L. A. Heilman Brasseur, W. F. Feltz, and T. P. Tooman, 2002: Automated retrievals of water vapor and aerosol profiles from an operational Raman lidar. J. Atmos. Oceanic Technol., 19, 37-50, doi:10.1175/1520-0426(2002)019〈0037:AROWVA〉2.0.CO;2.
74. - Coauthors, 2004: The QME AERI LBLRTM: A closure experiment for downwelling high spectral resolution infrared radiance. J. Atmos. Sci., 61, 2657-2675, doi:10.1175/JAS3300.1.
75. V. Wulfmeyer, L. K. Berg, and J. H. Schween, 2014: Water vapor turbulence profiles in stationary continental convective mixed layers. J. Geophys. Res. At-mos., 119,11 151-11 165, doi:10.1002/2014JD022202.
76. Vickers, D., and L. Mahrt, 1997: Quality control and flux sampling problems for tower and aircraft data. J. Atmos. Oceanic Technol., 14, 512-526, doi:10.1175/1520-0426(1997)014〈0512:QCAFSP〉2 .0.CO;2.
77. Walters, C. K., J. A. Winkler, R. P. Shadbolt, J. van Ravensway, and G. D. Bierly, 2008: A long-term climatology of southerly and northerly low-level jets for the central United States. Ann. Assoc. Amer. Geogr., 98, 521-552, doi:10.1080/00045600802046387.
78. Wang, Y., C. L. Klipp, D. M. Garvey, D. A. Ligon, C. C. Williamson, S. S. Chang, R. K. Newsom, and R. Calhoun, 2007: Nocturnal low-level-jet-dominated atmospheric boundary layer observed by a Doppler lidar over Oklahoma City during 2003. J. Appl. Meteor. Climatol., 46, 2098-2109, doi:10.1175/2006JAMC1283.1.
79. Webb, E. K., G. I. Pearman, and R. Leuning, 1980: Correction of flux measurements for density effects due to heat and water vapour transfer. Quart. J. Roy. Meteor. Soc., 106, 85-100, doi:10.1002/qj.49710644707.
80. Whiteman, C. D., X. Bian, and S. Zhong, 1997: Low-level jet climatology from enhanced rawinsonde observations at a site in the southern Great Plains. J. Appl. Meteor., 36, 1363-1376, doi:10.1175/1520-0450(1997)036〈1363:LLJCFE〉2.0.CO;2.
81. Wulfmeyer, V., S. Pal, D. D. Turner, and E. Wagner, 2010: Can water vapour Raman lidar resolve profiles of turbulent variables in the convective boundary layer? Bound.-Layer Meteor., 136, 253-284, doi:10.1007/s10546-010-9494-z.
82. Wyngaard, J. C., 2010: Turbulence in the Atmosphere. Cambridge University Press, 393 pp.
83. Yurganov, L., W. McMillan, C. Wilson, M. Fischer, and C. Sweeney, 2010: Carbon monoxide mixing ratios over Oklahoma between 2002 and 2009 retrieved from Atmospheric Emitted Radiance Interferometer spectra. Atmos. Meas. Technol., 3, 1319-1331, doi:10.5194/amt-3-1319-2010.
84. Zhong, S., J. D. Fast, and X. Bian, 1996: A case study of the Great Plains low-level jet using wind profiler network data and a high-resolution mesoscale model. Mon. Wea. Rev., 124, 785-806, doi:10.1175/1520-0493(1996)124〈0785:ACSOTG〉2.0.CO;2.