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Article Type:
Research Article

Observational Boundary Layer Energy and Water Budgets of the Stratocumulus-to-Cumulus Transition

Peter Kalmus Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California

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Matthew Lebsock Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California

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João Teixeira Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California

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Print Publication:
15 Dec 2014
DOI:
https://doi.org/10.1175/JCLI-D-14-00242.1
Page(s):
9155–9170
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Abstract

The authors estimate summer mean boundary layer water and energy budgets along a northeast Pacific transect from 35° to 15°N, which includes the transition from marine stratocumulus to trade cumulus clouds. Observational data is used from three A-Train satellites, Aqua, CloudSat, and the Cloud–Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO); data derived from GPS signals intercepted by microsatellites of the Constellation Observing System for Meteorology, Ionosphere, and Climate (COSMIC); and the container-ship-based Marine Atmospheric Radiation Measurement Program (ARM) Global Energy and Water Cycle Experiment Cloud System Study/Working Group on Numerical Experimentation (GCSS/WGNE) Pacific Cross-Section Intercomparison (GPCI) Investigation of Clouds (MAGIC) campaign. These are unique satellite and shipborne observations providing the first global-scale observations of light precipitation, new vertically resolved radiation budget products derived from the active sensors, and well-sampled radiosonde data near the transect. In addition to the observations, the European Centre for Medium-Range Weather Forecasts (ECMWF) Interim Re-Analysis (ERA-Interim) fields are utilized to estimate the budgets. Both budgets approach within 3 W m−2 averaged along the transect, although uncertainty estimates from the study are much larger than this residual. A mean entrainment rate along the transect of mm s−1 is also estimated. A gradual transition is observed in the climatological mean from the stratocumulus regime to the cumulus regime characterized by an increase in boundary layer height, latent heat flux, rain, and the horizontal advection of dry air and a decrease in entrainment of warm dry air.

Corresponding author address: Peter Kalmus, Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA 91109. E-mail: peter.m.kalmus@jpl.nasa.gov

Abstract

The authors estimate summer mean boundary layer water and energy budgets along a northeast Pacific transect from 35° to 15°N, which includes the transition from marine stratocumulus to trade cumulus clouds. Observational data is used from three A-Train satellites, Aqua, CloudSat, and the Cloud–Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO); data derived from GPS signals intercepted by microsatellites of the Constellation Observing System for Meteorology, Ionosphere, and Climate (COSMIC); and the container-ship-based Marine Atmospheric Radiation Measurement Program (ARM) Global Energy and Water Cycle Experiment Cloud System Study/Working Group on Numerical Experimentation (GCSS/WGNE) Pacific Cross-Section Intercomparison (GPCI) Investigation of Clouds (MAGIC) campaign. These are unique satellite and shipborne observations providing the first global-scale observations of light precipitation, new vertically resolved radiation budget products derived from the active sensors, and well-sampled radiosonde data near the transect. In addition to the observations, the European Centre for Medium-Range Weather Forecasts (ECMWF) Interim Re-Analysis (ERA-Interim) fields are utilized to estimate the budgets. Both budgets approach within 3 W m−2 averaged along the transect, although uncertainty estimates from the study are much larger than this residual. A mean entrainment rate along the transect of mm s−1 is also estimated. A gradual transition is observed in the climatological mean from the stratocumulus regime to the cumulus regime characterized by an increase in boundary layer height, latent heat flux, rain, and the horizontal advection of dry air and a decrease in entrainment of warm dry air.

Corresponding author address: Peter Kalmus, Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA 91109. E-mail: peter.m.kalmus@jpl.nasa.gov
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  • Adler, R. F., and Coauthors, 2003: The Version-2 Global Precipitation Climatology Project (GPCP) monthly precipitation analysis (1979–present). J. Hydrometeor., 4, 1147–1167, doi:10.1175/1525-7541(2003)004<1147:TVGPCP>2.0.CO;2.

    • Search Google Scholar
    • Export Citation

  • Albrecht, B. A., D. A. Randall, and S. Nicholls, 1988: Observations of marine stratocumulus clouds during FIRE. Bull. Amer. Meteor. Soc., 69, 618–626, doi:10.1175/1520-0477(1988)069<0618:OOMSCD>2.0.CO;2.

    • Search Google Scholar
    • Export Citation

  • Albrecht, B. A., C. S. Bretherton, D. Johnson, W. H. Scubert, and A. S. Frisch, 1995: The Atlantic Stratocumulus Transition Experiment—ASTEX. Bull. Amer. Meteor. Soc., 76, 889–904, doi:10.1175/1520-0477(1995)076<0889:TASTE>2.0.CO;2.

    • Search Google Scholar
    • Export Citation

  • 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.

  • Bretherton, C., and M. C. Wyant, 1997: Moisture transport, lower-tropospheric stability, and decoupling of cloud-topped boundary layers. J. Atmos. Sci., 54, 148–167, doi:10.1175/1520-0469(1997)054<0148:MTLTSA>2.0.CO;2.

    • Search Google Scholar
    • Export Citation

  • Bretherton, C., S. K. Krueger, M. C. Wyant, P. Bechtold, E. Meijgaard, B. Stevens, and J. A. Teixeira, 1999: A GCSS boundary-layer cloud model intercomparison study of the first ASTEX Lagrangian experiment. Bound.-Layer Meteor., 93, 341–380, doi:10.1023/A:1002005429969.

    • Search Google Scholar
    • Export Citation

  • Caldwell, P., C. S. Bretherton, and R. Wood, 2005: Mixed-layer budget analysis of the diurnal cycle of entrainment in southeast Pacific stratocumulus. J. Atmos. Sci.,62, 3775–3791, doi:10.1175/JAS3561.1.

  • Chen, T., W. B. Rossow, and Y. Zhang, 2000: Radiative effects of cloud-type variations. J. Climate, 13, 264–286, doi:10.1175/1520-0442(2000)013<0264:REOCTV>2.0.CO;2.

    • Search Google Scholar
    • Export Citation

  • Chung, D., and J. Teixeira, 2012: A simple model for stratocumulus to shallow cumulus cloud transitions. J. Climate, 25, 2547–2554, doi:10.1175/JCLI-D-11-00105.1.

    • Search Google Scholar
    • Export Citation

  • Chung, D., G. Matheou, and J. A. Teixeira, 2012: Steady-state large-eddy simulations to study the stratocumulus to shallow-cumulus cloud transition. J. Atmos. Sci., 69, 3264–3276, doi:10.1175/JAS-D-11-0256.1.

    • Search Google Scholar
    • Export Citation

  • Comstock, K. K., R. Wood, S. E. Yuter, and C. S. Bretherton, 2004: Reflectivity and rain rate in and below drizzling stratocumulus. Quart. J. Roy. Meteor. Soc., 130, 2891–2918, doi:10.1256/qj.03.187.

    • Search Google Scholar
    • Export Citation

  • Dee, D. P., and Coauthors, 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.

  • Duynkerke, P. G., and Coauthors, 2004: Observations and numerical simulations of the diurnal cycle of the EUROCS stratocumulus case. Quart. J. Roy. Meteor. Soc.,130, 3269–3296, doi:10.1256/qj.03.139.

  • Fairall, C. W., E. F. Bradley, J. E. Hare, A. A. Grachev, and J. B. Edson, 2003: Bulk parameterization of air–sea fluxes: Updates and verification for the COARE algorithm. J. Climate, 16, 571–591, doi:10.1175/1520-0442(2003)016<0571:BPOASF>2.0.CO;2.

    • Search Google Scholar
    • Export Citation

  • Faloona, I., and Coauthors, 2005: Observations of entrainment in eastern Pacific marine stratocumulus using three conserved scalars. J. Atmos. Sci., 62, 3268–3285, doi:10.1175/JAS3541.1.

    • Search Google Scholar
    • Export Citation

  • Golaz, J.-C., V. E. Larson, and W. R. Cotton, 2002: A PDF-based model for boundary layer clouds. Part II: Model results. J. Atmos. Sci.,59, 3552–3571, doi:10.1175/1520-0469(2002)059〈3552:APBMFB〉2.0.CO;2.

  • Henderson, D. S., T. L’Ecuyer, G. Stephens, P. Partain, and M. Sekiguchi, 2013: A multisensor perspective on the radiative impacts of clouds and aerosols. J. Appl. Meteor. Climatol., 52, 853–871, doi:10.1175/JAMC-D-12-025.1.

    • Search Google Scholar
    • Export Citation

  • Karlsson, J., and J. Teixeira, 2014: A simple model of the northeast Pacific stratocumulus to cumulus transition based on the climatological surface energy budget. J. Climate, 27, 4111–4121, doi:10.1175/JCLI-D-13-00534.1.

    • Search Google Scholar
    • Export Citation

  • Kawai, H., and J. A. Teixeira, 2010: Probability density functions of liquid water path and cloud amount of marine boundary layer clouds: Geographical and seasonal variations and controlling meteorological factors. J. Climate, 23, 2079–2092, doi:10.1175/2009JCLI3070.1.

    • Search Google Scholar
    • Export Citation

  • Klein, S. A., and D. Hartmann, 1993: The seasonal cycle of low stratiform clouds. J. Climate,6, 1587–1606, doi:10.1175/1520-0442(1993)006<1587:TSCOLS>2.0.CO;2.

  • Lebsock, M. D., and T. S. L’Ecuyer, 2011: The retrieval of warm rain from CloudSat. J. Geophys. Res.,116, D20209, doi:10.1029/2011JD016076.

  • L’Ecuyer, T. S., and G. L. Stephens, 2002: An estimation-based precipitation retrieval algorithm for attenuating radars. J. Appl. Meteor., 41, 272–285, doi:10.1175/1520-0450(2002)041<0272:AEBPRA>2.0.CO;2.

    • Search Google Scholar
    • Export Citation

  • Mace, G. G., Q. Zhang, M. Vaughan, R. Marchand, G. Stephens, C. Trepte, and D. Winker, 2009: A description of hydrometeor layer occurrence statistics derived from the first year of merged Cloudsat and CALIPSO data. J. Geophy. Res.,114, D00A26, doi:10.1029/2007JD009755.

  • Randall, D. A., J. J. A. Coakley, C. W. Fairall, R. A. Kropfli, and D. H. Lenschow, 1984: Outlook for research on subtropical marine stratiform clouds. Bull. Amer. Meteor. Soc., 65, 1290–1301, doi:10.1175/1520-0477(1984)065<1290:OFROSM>2.0.CO;2.

    • Search Google Scholar
    • Export Citation

  • Rossow, W. B., and R. A. Schiffer, 1991: ISCCP cloud data products. Bull. Amer. Meteor. Soc., 72, 2–20, doi:10.1175/1520-0477(1991)072<0002:ICDP>2.0.CO;2.

    • Search Google Scholar
    • Export Citation

  • 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.

    • Search Google Scholar
    • Export Citation

  • Sandu, I., and B. Stevens, 2011: On the factors modulating the stratocumulus to cumulus transitions. J. Atmos. Sci., 68, 1865–1881, doi:10.1175/2011JAS3614.1.

    • Search Google Scholar
    • Export Citation

  • Sandu, I., B. Stevens, and R. Pincus, 2010: On the transitions in marine boundary layer cloudiness. Atmos. Chem. Phys., 10, 2377–2391, doi:10.5194/acp-10-2377-2010.

    • Search Google Scholar
    • Export Citation

  • Slingo, A., 1990: Sensitivity of the earth’s radiation budget to changes in low clouds. Nature, 343, 49–51, doi:10.1038/343049a0.

  • Stephens, G. L., 2005: Cloud feedbacks in the climate system: A critical review. J. Climate,18, 237–273, doi:10.1175/JCLI-3243.1.

  • Stephens, G. L., and Coauthors, 2012: An update on Earth’s energy balance in light of the latest global observations. Nat. Geosci., 5, 691–696, doi:10.1038/ngeo1580.

    • Search Google Scholar
    • Export Citation

  • Stevens, B., and Coauthors, 2003: Dynamics and chemistry of marine stratocumulus–DYCOMS-II. Bull. Amer. Meteor. Soc.,84, 579–593, doi:10.1175/BAMS-84-5-579.

  • Stevens, B., and Coauthors, 2005: Evaluation of large-eddy simulations via observations of nocturnal marine stratocumulus. Mon. Wea. Rev., 133, 1443–1462, doi:10.1175/MWR2930.1.

    • Search Google Scholar
    • Export Citation

  • Suselj, K., J. Teixeira, and D. Chung, 2013: A unified model for moist convective boundary layers based on a stochastic eddy-diffusivity/mass-flux parameterization. J. Atmos. Sci., 70, 1929–1953, doi:10.1175/JAS-D-12-0106.1.

    • Search Google Scholar
    • Export Citation

  • Teixeira, J., and Coauthors, 2011: Tropical and subtropical cloud transitions in weather and climate prediction models: The GCSS/WGNE Pacific Cross-Section Intercomparison (GPCI). J. Climate, 24, 5223–5256, doi:10.1175/2011JCLI3672.1.

    • Search Google Scholar
    • Export Citation

  • Trenberth, K. E., L. Smith, T. Qian, A. Dai, and J. Fasullo, 2007: Estimates of the global water budget and its annual cycle using observational and model data. J. Hydrometeor., 8, 758–769, doi:10.1175/JHM600.1.

    • Search Google Scholar
    • Export Citation

  • Trenberth, K. E., J. T. Fasullo, and J. Kiehl, 2009: Earth’s global energy budget. Bull. Amer. Meteor. Soc., 90, 311–323, doi:10.1175/2008BAMS2634.1.

    • Search Google Scholar
    • Export Citation

  • Vaisala Oyj, 2013: Humidity conversion formulas. Vaisala Tech. Rep. B210973EN-F, 17 pp. [Available online at http://www.vaisala.com/Vaisala%20Documents/Application%20notes/Humidity_Conversion_Formulas_B210973EN-F.pdf.]

  • van der Dussen, J. J., and Coauthors, 2013: The GASS/EUCLIPSE model intercomparison of the stratocumulus transition as observed during ASTEX: LES results. J. Adv. Model. Earth Syst.,5, 483–499, doi:10.1002/jame.20033.

  • 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.

    • Search Google Scholar
    • Export Citation

  • von Engeln, A., J. Teixeira, J. Wickert, and S. A. Buehler, 2005: Using champ radio occultation data to determine the top altitude of the planetary boundary layer. Geophys. Res. Lett.,32, L06815, doi:10.1029/2004GL022168.

  • Wong, S., E. J. Fetzer, B. H. Kahn, B. Tian, B. H. Lambrigtsen, and H. Ye, 2011: Closing the global water vapor budget with AIRS water vapor, MERRA reanalysis, TRMM and GPCP precipitation, and GSSTF surface evaporation. J. Climate, 24, 6307–6321, doi:10.1175/2011JCLI4154.1.

    • Search Google Scholar
    • Export Citation

  • Wood, R., 2012: Stratocumulus clouds. Mon. Wea. Rev., 140, 2373–2423, doi:10.1175/MWR-D-11-00121.1.

  • Wood, R., and C. Bretherton, 2004: Boundary layer depth, entrainment, and decoupling in the cloud-capped subtropical and tropical marine boundary layer. J. Climate,17, 3576–3588, doi:10.1175/1520-0442(2004)017〈3576:BLDEAD〉2.0.CO;2.

  • Wyant, M. C., C. Bretherton, H. A. Rand, and D. E. Stevens, 1997: numerical simulations and a conceptual model of the stratocumulus to trade cumulus transition. J. Atmos. Sci., 54, 168–192, doi:10.1175/1520-0469(1997)054<0168:NSAACM>2.0.CO;2.

    • Search Google Scholar
    • Export Citation

  • Zhang, M., and Coauthors, 2013: CGILS: Results from the first phase of an international project to understand the physical mechanisms of low cloud feedbacks in single column models. J. Adv. Model. Earth Syst.,5, 826–842, doi:10.1002/2013MS000246.

  • Zhu, P., and Coauthors, 2005: Intercomparison and interpretation of single-column model simulations of a nocturnal stratocumulus-topped marine boundary layer. Mon. Wea. Rev., 133, 2741–2758, doi:10.1175/MWR2997.1.

    • Search Google Scholar
    • Export Citation
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