Marine boundary layer heights and their longitudinal, diurnal, and interseasonal variability in the southeastern Pacific using COSMIC, CALIOP, and radiosonde data

Journal of Climate

Volumn 28, Issue 7, 2015, Pages 2856-2872

  Ho, Shu Peng ^a   Peng, Liang ^a   Anthes, Richard A ^a   Kuo, Ying Hwa ^a,b   Lin, Hsiao Chun ^c  

^a UNIVERSITY CORPORATION FOR ATMOSPHERIC RESEARCH   (United States)

^b NATIONAL CENTER FOR ATMOSPHERIC RESEARCH   (United States)

^c NATIONAL CENTRAL UNIVERSITY   (Taiwan)

Author keywords

Climate records; Climate variability; Global positioning systems (GPS); Interannual variability; Seasonal variability

Indexed keywords

CLIMATE CHANGE; COSMOLOGY; GLOBAL POSITIONING SYSTEM; RADIOSONDES; REFRACTION;

CLIMATE RECORD; CLIMATE VARIABILITY; INTERANNUAL VARIABILITY; INTERSEASONAL VARIABILITIES; MARINE BOUNDARY LAYERS; SEASONAL VARIABILITY; SPATIAL AND TEMPORAL VARIABILITY; SPATIAL AND TEMPORAL VARIATION;

BOUNDARY LAYERS;

ANNUAL VARIATION; BOUNDARY LAYER; CALIPSO; CLIMATE MODELING; COSMIC; DIURNAL VARIATION; GPS; HEIGHT; LONGITUDINAL GRADIENT; MARINE ATMOSPHERE; RADIOSONDE; SEASONAL VARIATION;

PACIFIC OCEAN; PACIFIC OCEAN (SOUTHEAST);

EID: 84944144875     PISSN: 08948755     EISSN: None     Source Type: Journal    
DOI: 10.1175/JCLI-D-14-00238.1     Document Type: Article

References (54)

1. Anthes, R. A., 2011: Exploring Earth's atmosphere with radio occultation: Contributions to weather, climate, and space weather. Atmos. Meas. Tech, 4, 1077-1103, doi:10.5194/amt-4-1077-2011.
2. Anthes, R. A., and et al, 2008: The COSMIC/FORMOSAT-3 mission: Early results. Bull. Amer. Meteor. Soc., 89, 313-333, doi:10.1175/BAMS-89-3-313.
3. Ao, C. O., G. A. Hajj, T. K. Meehan, D. Dong, B. A. Iijima, A. J. Mannucci, and E. R. Kursinski, 2009: Rising and setting GPS occultations by use of open-loop tracking. J. Geophys. Res., 114, D04101, doi:10.1029/2008JD010483.
4. Ao, C. O., D. E. Waliser, S. K. Chan, J.-L. Li, B. Tian, F. Xie, and A. J. Mannucci, 2012: Planetary boundary layer heights from GPS radio occultation refractivity and humidity profiles. J. Geophys. Res., 117, D16117, doi:10.1029/2012JD017598.
5. Bean, B. R., and E. J. Dutton, 1968: Radio Meteorology. National Bureau of Standards Monogr. No. 92, National Bureau of Standards, 435 pp.
6. Biondi, R., W. Randel, S.-P. Ho, T. Neubert, and S. Syndergaard, 2012: Thermal structure of intense convective clouds derived from GPS radio occultations. Atmos. Chem. Phys., 12, 5309-5318, doi:10.5194/acp-12-5309-2012.
7. Biondi, R., S.-P. Ho, W. Randel, S. Syndergaard, and T. Neubert, 2013: Tropical cyclone cloud-top height and vertical temperature structure detection using GPS radio occultation measurements. J. Geophys. Res. Atmos., 118, 5247-5259, doi:10.1002/jgrd.50448.
8. Bony, S., and et al, 2006: How well do we understand and evaluate climate change feedback processes? J. Climate, 19, 3445-3482, doi:10.1175/JCLI3819.1.
9. Chan, K. M., and R. Wood, 2013: The seasonal cycle of planetary boundary layer depth determined using COSMIC radio occultation data. J. Geophys. Res. Atmos., 118, 12 422-12 434, doi:10.1002/2013JD020147.
10. Chang, F.-L., P. Minnis, J. K. Ayers, M. J. McGill, R. Palikonda, D. A. Spangenberg, W. L. Smith Jr., and C. R. Yost, 2010: Evaluation of satellite-based upper troposphere cloud top height retrievals in multilayer cloud conditions during TC4. J. Geophys. Res., 115, D00J05, doi:10.1029/2009JD013305.
11. de Szoeke, S. P., S. Yuter, D. Mechem, C. W. Fairall, C. Burleyson, and P. Zuidema, 2012: Observations of stratocumulus clouds and their effect on the eastern Pacific surface heat budget along 20 S. J. Climate, 25, 8542-8567, doi:10.1175/JCLI-D-11-00618.1.
12. Dee, D. P., and et al, 2011: The ERA-Interim reanalysis: Configuration and performance of the data assimilation system. Quart. J. Roy. Meteor. Soc., 137, 553-597, doi:10.1002/qj.828.
13. Fetzer, E. J., J. Teixeira, E. T. Olsen, and E. F. Fishbein, 2004: Satellite remote sounding of atmospheric boundary layer temperature inversions over the subtropical eastern Pacific. Geophys. Res. Lett., 31, L17102, doi:10.1029/2004GL020174.
14. Guo, P., Y.-H. Kuo, S. V. Sokolovskiy, and D. H. Lenschow, 2011: Estimating atmospheric boundary layer depth using COSMIC radio occultation data. J. Atmos. Sci., 68, 1703-1713, doi:10.1175/2011JAS3612.1.
15. Hahn, C. J., and S. G. Warren, 2007: A gridded climatology of clouds over land (1971-96) and ocean (1954-97) from surface observations worldwide. Carbon Dioxide Analysis Center Numerical Data Package NDP-026E ORNL/CDIAC-153, 75 pp., doi:10.3334/CDIAC/cli.ndp026e.
16. Ho, S.-P., and et al, 2009: Estimating the uncertainty of using GPS radio occultation data for climate monitoring: Intercomparison of CHAMP refractivity climate records from 2002 to 2006 from different data centers. J. Geophys. Res., 114, D23107, doi:10.1029/2009JD011969.
17. Ho, S.-P., M. Goldberg, Y.-H. Kuo, C.-Z. Zou, and W. Schreiner, 2009: Calibration of temperature in the lower stratosphere from microwave measurements using COSMIC radio occultation data: Preliminary results. Terr. Atmos. Oceanic Sci., 20, 87-100, doi:10.3319/TAO.2007.12.06.01(F3C).
18. Ho, S.-P., Y.-H. Kuo, W. Schreiner, and X. Zhou, 2010: Using SItraceable global positioning system radio occultation measurements for climate monitoring [in "State of the Climate in 2009"]. Bull. Amer. Meteor. Soc., 91, S36-S37, doi:10.1175/BAMS-91-7-StateoftheClimate.
19. Ho, S.-P., X. Zhou, Y.-H. Kuo, D. Hunt, and J.-H. Wang, 2010: Global evaluation of radiosonde water vapor systematic biases using GPS radio occultation from COSMIC and ECMWF analysis. Remote Sens., 2, 1320-1330, doi:10.3390/rs2051320.
20. Ho, S.-P., and et al, 2012: Reproducibility of GPS radio occultation data for climate monitoring: Profile-to-profile intercomparison of CHAMP climate records 2002 to 2008 from six data centers. J. Geophys. Res., 117, D18111, doi:10.1029/2012JD017665.
21. Ho, S.-P., X. Yue, Z. Zeng, C. Ao, C.-Y. Huang, E. R. Kursinski, and Y.-H. Kuo, 2014: Applications of COSMIC radio occultation data from the troposphere to ionosphere and potential impacts of COSMIC-2 data. Bull. Amer. Meteor. Soc., 95, ES18-ES22, doi:10.1175/BAMS-D-13-00035.1.
22. Kim, S.-W., S. Berthier, P. Chazette, J.-C. Raut, F. Dulac, and S.-C. Yoon, 2008: Validation of aerosol and cloud layer structures from the space-borne lidar CALIOP using a ground-based lidar in Seoul, Korea. Atmos. Chem. Phys., 8, 3705-3720, doi:10.5194/acp-8-3705-2008.
23. King, M. D., Y. J. Kaufman, W. P. Menzel, and D. Tanre, 1992: Remote sensing of cloud, aerosol, and water vapor properties from the moderate resolution imaging spectrometer (MODIS). IEEE Trans. Geosci. Remote Sens., 30, 2-27, doi:10.1109/36.124212.
24. Knibbe, W. J. J., J. F. de Haan, J. W. Hovenier, D. M. Stam, R. B. A. Koelemeijer, and P. Stammes, 2000: Deriving terrestrial cloud top pressure from photopolarimetry of reflected light. J. Quant. Spectrosc. Radiat. Transfer, 64, 173-199, doi:10.1016/S0022-4073(98)00135-6.
25. Koelemeijer, R. B. A., P. Stammes, J. W. Hovenier, and J. F. de Haan, 2002: Global distributions of effective cloud fraction and cloud top pressure derived from oxygen A band spectra measured by the Global Ozone Monitoring Experiment: Comparison to ISCCP data. J. Geophys. Res., 107, AAC 5-1-AAC 5-9, doi:10.1029/2001JD000840.
26. Kuo, Y.-H., T.-K. Wee, S. Sokolovskiy, C. Rocken, W. Schreiner, D. Hunt, and R. A. Anthes, 2004: Inversion and error estimation of GPS radio occultation data. J. Meteor. Soc. Japan, 82, 507-531, doi:10.2151/jmsj.2004.507.
27. Liu, S.-Y., and X.-Z. Liang, 2010: Observed diurnal cycle climatology of planetary boundary layer height. J. Climate, 23, 5790-5809, doi:10.1175/2010JCLI3552.1.
28. Liu, Z., and et al, 2011: Effective lidar ratios of dense dust layers over North Africa derived from the CALIOP measurements. J. Quant. Spectrosc. Radiat. Transfer, 112, 204-213, doi:10.1016/j.jqsrt.2010.05.006.
29. McGill, M. J., and et al, 2004: Combined lidar-radar remote sensing: Initial results from CRYSTAL-FACE. J. Geophys. Res., 109, D07203, doi:10.1029/2003JD004030.
30. McGill, M. J., M. A. Vaughan, C. R. Trepte, W. D. Hart, D. L. Hlavka, D. M. Winker, and R. Kuehn, 2007: Airborne validation of spatial properties measured by the CALIPSO lidar. J. Geophys. Res., 112, D20201, doi:10.1029/2007JD008768.
31. Minnis, P., C. R. Yost, S. Sun-Mack, and Y. Chen, 2008: Estimating the top altitude of optically thick ice clouds from thermal infrared satellite observations using CALIPSO data. Geophys. Res. Lett., 35, L12801, doi:10.1029/2008GL033947.
32. Norris, J. R., 1998: Low cloud type over the ocean from surface observations. Part I: Relationship to surface meteorology and the vertical distribution of temperature and moisture. J. Climate, 11, 369-382, doi:10.1175/1520-0442(1998)011<0369:LCTOTO>2.0.CO;2.
33. Platnick, S., M. D. King, S. A. Ackerman, W. P. Menzel, B. A. Baum, J. C. Riedi, and R. A. Frey, 2003: The MODIS cloud products: Algorithms and examples from Terra. IEEE Trans. Geosci. Remote Sens., 41, 459-473, doi:10.1109/TGRS.2002.808301.
34. Poole, L. R., D. M. Winker, J. R. Pelon, and M. P. McCormick, 2003: CALIPSO: Global aerosol and cloud observations from lidar and passive instruments. Sensors, systems, and nextgeneration satellites VI, H. Fujisada, et al., Eds., International Society for Optical Engineering (SPIE Proceedings, Vol. 481), 419-426, doi:10.1117/12.462519.
35. Powell, K. A., and et al, 2009: CALIPSO lidar calibration algorithms. Part I: Nighttime 532-nm parallel channel and 532-nm perpendicular channel. J. Atmos. Oceanic Technol., 26, 2015-2033, doi:10.1175/2009JTECHA1242.1.
36. Powell, K. A., M.A.Vaughan,R.R.Rogers, R. E. Kuehn, W. H.Hunt,K.-P. Lee, and T. D. Murray, 2010: The CALIOP 532-nm channel daytime calibration: Version 3 algorithm. Proc. 25th Int. Laser Radar Conf., St. Petersburg, Russia, Int. Coordination-Group for Laser Atmospheric Studies, 1367-1370.
37. Rossow, W. B., and R. A. Schiffer, 1999: Advances in understanding clouds from ISCCP. Bull. Amer. Meteor. Soc., 80, 2261-2287, doi:10.1175/1520-0477(1999)080<2261:AIUCFI>2.0.CO;2.
38. Seidel, D. J., C. O. Ao, and K. Li, 2010: Estimating climatological planetary boundary layer heights from radiosonde observations: Comparison of methods and uncertainty analysis. J. Geophys. Res., 115, D16113, doi:10.1029/2009JD013680.
39. Sherwood, S. C., P. Minnis, M. McGill, and J. C. Chae, 2004: Underestimation of deep convective cloud tops by thermal imagery. Geophys. Res. Lett., 31, L11102, doi:10.1029/2004GL019699.
40. Sokolovskiy, S. V., 2001: Tracking tropospheric radio occultation signals from low Earth orbit. Radio Sci., 36, 483-498, doi:10.1029/1999RS002305.
41. Sokolovskiy, S. V., 2003: Effect of superrefraction on inversions of radio occultation signals in the lower troposphere. Radio Sci., 38, 1058, doi:10.1029/2002RS002728.
42. Sokolovskiy, S. V., Y.-H. Kuo, C. Rocken, W. S. Schreiner, D. Hunt, and R. A. Anthes, 2006: Monitoring the atmospheric boundary layer by GPS radio occultation signals recorded in the open-loop mode. Geophys. Res. Lett., 33, L12813, doi:10.1029/2006GL025955.
43. Sokolovskiy, S. V., C. Rocken, D. H. Lenschow, Y.-H. Kuo, R. A. Anthes, W. S. Schreiner, and D. C. Hunt, 2007: Observing the moist troposphere with radio occultation signals from COSMIC. Geophys. Res. Lett., 34, L18802, doi:10.1029/2007GL030458.
44. Sokolovskiy, S. V., D. H. Lenschow, Z. Zeng, C. Rocken, W. S. Schreiner, D. C. Hunt, Y.-H. Kuo, and R. A. Anthes, 2011: Monitoring the depth of the atmospheric boundary layer by FORMOSAT-3/COSMIC. Proc. Fifth FORMOSAT-3/COSMIC Data Users Workshop & ICGPSRO, Taipei, Taiwan, University Corporation for Atmospheric Research, 18 pp. [Available online at http://nldr.library.ucar.edu/repository/collections/OSGC-000-000-004-454.].
45. Sokolovskiy, S., W. Schreiner, Z. Zeng, D. Hunt, Y.-C. Lin, and Y.-H. Kuo, 2014: Observation, analysis, and modeling of deep radio occultation signals: Effects of tropospheric ducts and interfering signals. Radio Sci., 49, 954-970, doi:10.1002/2014RS005436.
46. Vaughan, M., S. Young, D. Winker, K. Powell, A. Omar, Z. Liu, Y. Hu, and C. Hostetler, 2004: Fully automated analysis of space-based lidar data: An overview of the CALIPSO retrieval algorithms and data products. Laser radar techniques for atmospheric sensing, U. N. Singh, Ed., International Society for Optical Engineering (SPIE Proceedings, Vol. 5575), 16-30.
47. von Engeln, A., and J. Teixeira, 2013: A planetary boundary layer height climatology derived from ECMWF reanalysis data. J. Climate, 26, 6575-6590, doi:10.1175/JCLI-D-12-00385.1.
48. Winker, D. M., W. H. Hunt, and M. J. McGill, 2007: Initial performance assessment of CALIOP. Geophys. Res. Lett., 34, L19803, doi:10.1029/2007GL030135.
49. Winker, D. M., M. A. Vaughan, A. Omar, Y.-X. Hu, A. Powell, Z.-Y. Liu, W. Hunt, and S. A. Young, 2009: Overview of the CALIPSO mission and CALIOP data processing algorithms. J. Atmos. Oceanic Technol., 26, 2310-2323, doi:10.1175/2009JTECHA1281.1.
50. Wood, R., 2012: Stratocumulus clouds. Mon. Wea. Rev., 140, 2373-2423, doi:10.1175/MWR-D-11-00121.1.
51. Wood, R., and et al, 2011: The VAMOS Ocean-Cloud-Atmosphere-Land Study Regional Experiment (VOCALS-REx): Goals, platforms, and field operations. Atmos. Chem. Phys., 11, 627-654, doi:10.5194/acp-11-627-2011.
52. Wu, D., Y. Hu, M. McCormick, K. Xu, Z. Liu, B. Smith, A. Omar, and F. Chang, 2008: Deriving marine-boundary-layer lapse rate from collocated CALIPSO, MODIS, and AMSR-E data to study global low-cloud height statistics. IEEE Trans. Geosci. Remote Sens., 5, 649-652, doi:10.1109/LGRS.2008.2002024.
53. Xie, F., S. Syndergaard, E. R. Kursinski, and B. Herman, 2006: An approach for retrieving marine boundary layer refractivity from GPS occultation data in the presence of superrefraction. J. Atmos. Oceanic Technol., 23, 1629-1644, doi:10.1175/JTECH1996.1.
54. Xie, F., D. L. Wu, C. O. Ao, A. J. Mannucci, and E. R. Kursinski, 2012: Advances and limitations of atmospheric boundary layer observations with GPS occultation over southeast Pacific Ocean. Atmos. Chem. Phys., 12, 903-918, doi:10.5194/acp-12-903-2012.