Browse > Article
http://dx.doi.org/10.5467/JKESS.2022.43.6.712

Relationship between Low-level Clouds and Large-scale Environmental Conditions around the Globe  

Sungsu Park (School of Earth and Environmental Sciences, Seoul National University)
Chanwoo Song (School of Earth and Environmental Sciences, Seoul National University)
Daeok Youn (Department of Earth Science Education, Chungbuk National University)
Publication Information
Journal of the Korean earth science society / v.43, no.6, 2022 , pp. 712-736 More about this Journal
Abstract
To understand the characteristics of low-level clouds (CLs), environmental variables are composited on each CL using individual surface observations and six-hourly upper-air meteorologies around the globe. Individual CLs has its own distinct environmental conditions. Over the eastern subtropical and western North Pacific Ocean in JJA, stratocumulus (CL5) has a colder sea surface temperature (SST), stronger and lower inversion, and more low-level cloud amount (LCA) than the climatology whereas cumulus (CL12) has the opposite characteristics. Over the eastern subtropical Pacific, CL5 and CL12 are influenced by cold and warm advection within the PBL, respectively but have similar cold advection over the western North Pacific. This indicates that the fundamental physical process distinguishing CL5 and CL12 is not the horizontal temperature advection but the interaction with the underlying sea surface, i.e., the deepening-decoupling of PBL and the positive feedback between shortwave radiation and SST. Over the western North Pacific during JJA, sky-obscuring fog (CL11), no low-level cloud (CL0), and fair weather stratus (CL6) are associated with anomalous warm advection, surface-based inversion, mean upward flow, and moist mid-troposphere with the strongest anomalies for CL11 followed by CL0. Over the western North Pacific during DJF, bad weather stratus (CL7) occurs in the warm front of the extratropical cyclone with anomalous upward flow while cumulonimbus (CL39) occurs on the rear side of the cold front with anomalous downward flow. Over the tropical oceans, CL7 has strong positive (negative) anomalies of temperature in the upper troposphere (PBL), relative humidity, and surface wind speed in association with the mesoscale convective system while CL12 has the opposite anomalies and CL39 is in between.
Keywords
Atmospheric science; cloud observation data; low-level cloud;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Stephens, G. L., 2005, Cloud feedbacks in the climate system: A critical review. Journal of cli- mate, 18(2), 237-273.   DOI
2 Van der Dussen, J., S. De Roode, S. Dal Gesso, and A. Siebesma, 2015, An les model study of the influence of the free tropospheric thermodynamic conditions on the stratocumulus response to a climate perturbation. Journal of Advances in Modeling Earth Systems, 7(2), 670-691.   DOI
3 Van der Dussen, J., S. De Roode, and A. Siebesma, 2014, Factors controlling rapid stratocumulus cloud thinning. Journal of the Atmospheric Sciences, 71(2), 655-664.   DOI
4 Van der Dussen, J., S. De Roode, and A. Siebesma, 2016, How large-scale subsidence affects stratocumulus transitions. Atmospheric Chemistry and Physics, 16(2), 691-701.   DOI
5 Weare, B. C., 1994, Interrelationships between cloud properties and sea surface temperatures on seasonal and interannual time scales. Journal of climate, 7(2), 248-260.   DOI
6 WMO, 1975, Manual on the observation of clouds and other meteors: Volume I. WMO Publica- tion 407, 155 pp.
7 Wood, R., and C. S. Bretherton, 2006, On the relationship between stratiform low cloud cover and lower-tropospheric stability. Journal of climate, 19(24), 6425-6432.   DOI
8 Xiao, H., C.-M. Wu, and C. R. Mechoso, 2011, Buoyancy reversal, decoupling and the transi- tion from stratocumulus to shallow cumulus topped marine boundary layers. Climate dynamics, 37(5-6), 971-984.   DOI
9 Alexander, M. A., N.-C. Lau, and J. D. Scott, 2004, Broadening the atmospheric bridge paradigm: Enso teleconnections to the tropical west pacificindian oceans over the seasonal cycle and to the north pacific in summer. Earth's Climate: The Ocean-Atmosphere Interaction, Geophys. Monogr, 147, 85-103.
10 Andrews, T., J. M. Gregory, M. J. Webb, and K. E. Taylor, 2012, Forcing, feedbacks and climate sensitivity in cmip5 coupled atmosphereocean climate models. Geophysical Research Letters, 39(9).
11 Bajuk, L. J., and C. B. Leovy, 1998, Seasonal and interannual variations in stratiform and convective clouds over the tropical pacific and indian oceans from ship observations. Journal of climate, 11(11), 2922-2941.   DOI
12 Bechtold, P., M. Kohler, T. Jung, F. Doblas-Reyes, M. Leutbecher, M. J. Rodwell, F. Vitart, and G. Balsamo, 2008, Advances in simulating atmospheric variability with the ecmwf model: From synoptic to decadal times-cales. Quarterly Journal of the Royal Meteorological Society, 134(634), 1337-1351.   DOI
13 Bony, S., and J.-L. Dufresne, 2005, Marine boundary layer clouds at the heart of tropical cloud feedback uncertainties in climate models. Geophysical Research Letters, 32(20).
14 Bretherton, C., 1992, A conceptual model of the stratocumulus-trade-cumulus transition in the subtropical oceans. Proc. 11th Int. Conf. on Clouds and Precipitation, Vol. 1, 374-377.
15 Bretherton, C. S., 2015, Insights into low-latitude cloud feedbacks from high-resolution models. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 373(2054), 20140415.
16 Bretherton, C. S., and M. C. Wyant, 1997, Moisture transport, lower-tropospheric stability, and decoupling of cloud-topped boundary layers. Journal of the atmospheric sciences, 54(1), 148-167.   DOI
17 Cess, R. D., and Coauthors, 1990, Intercomparison and interpretation of climate feedback processes in 19 atmospheric general circulation models. Journal of Geophysical Research: Atmospheres, 95(D10), 16 601-16 615.   DOI
18 De Roode, S. R., and Coauthors, 2016, Large-eddy simulations of euclipsegass lagrangian stratocumulus-to-cumulus transitions: Mean state, turbulence, and decoupling. Journal of the Atmospheric Sciences, 73(6), 2485-2508.   DOI
19 Clement, A. C., R. Burgman, and J. R. Norris, 2009, Observational and model evidence for positive low-level cloud feedback. Science, 325(5939), 460-464.   DOI
20 Colman, B. R., 1990, Thunderstorms above frontal surfaces in environments without positive cape. part i: A climatology. Monthly weather review, 118(5), 1103-1122.   DOI
21 Deser, C., and J. M. Wallace, 1990, Large-scale atmospheric circulation features of warm and cold episodes in the tropical pacific. Journal of Climate, 3(11), 1254-1281.   DOI
22 Eastman, R., S. G. Warren, and C. J. Hahn, 2011, Variations in cloud cover and cloud types over the ocean from surface observations, 1954-2008. Journal of Climate, 24(22), 5914-5934.   DOI
23 Hahn, C. J., and S. G. Warren, 1999, Extended edited synoptic cloud reports from ships and land stations over the globe, 1952-1996. Environmental Sciences Division, Office of Biological and Environmental Research, US Department of Energy.
24 Hahn, C. J., S. G. Warren, and J. London, 1995, The effect of moonlight on observation of cloud cover at night, and application to cloud climatology. Journal of Climate, 8(5), 1429-1446.   DOI
25 Harrison, E., P. Minnis, B. Barkstrom, V. Ramanathan, R. Cess, and G. Gibson, 1990, Seasonal variation of cloud radiative forcing derived from the earth radiation budget experiment. Journal of Geophysical Research: Atmospheres (1984-2012), 95(D11), 18 687-18 703.   DOI
26 Houze Jr, R. A., 2014, Cloud dynamics, Vol. 104. Academic press.
27 Klein, S. A., and D. L. Hartmann, 1993, The seasonal cycle of low stratiform clouds. Journal of Climate, 6(8), 1587-1606.   DOI
28 Kawai, H., T. Koshiro, and M. J. Webb, 2017, Interpretation of factors controlling low cloud cover and low cloud feedback using a unified predictive index. Journal of Climate, 30(22), 9119-9131.   DOI
29 Klein, S. A., 1997, Synoptic variability of low-cloud properties and meteorological parameters in the subtropical trade wind boundary layer. Journal of climate, 10(8), 2018-2039.   DOI
30 Klein, S. A., A. Hall, J. R. Norris, and R. Pincus, 2017, Low-cloud feedbacks from cloud-controlling factors: a review. Shallow Clouds, Water Vapor, Circulation, and Climate Sensitivity, Springer, 135-157.
31 Klein, S. A., D. L. Hartmann, and J. R. Norris, 1995, On the relationships among low-cloud structure, sea surface temperature, and atmospheric circulation in the summertime northeast pacific. Journal of climate, 8(5), 1140-1155.   DOI
32 Loeb, N. G., B. A. Wielicki, D. R. Doelling, G. L. Smith, D. F. Keyes, S. Kato, N. Manalo-Smith, and T. Wong, 2009, Toward optimal closure of the earth's top-of-atmosphere radiation budget. Journal of Climate, 22(3), 748-766.   DOI
33 McMichael, L. A., D. B. Mechem, S. Wang, Q. Wang, Y. L. Kogan, and J. Teixeira, 2019, Assessing the mechanisms governing the daytime evolution of marine stratocumulus using large-eddy simulation. Quarterly Journal of the Royal Meteorological Society, 145(719), 845-866.   DOI
34 Monterey, G., and S. Levitus, 1997, Climatological cycle of mixed layer depth in the world ocean. US government printing office, NOAA NESDIS, Washington, DC, 5.
35 Myers, T. A., and J. R. Norris, 2013, Observational evidence that enhanced subsidence reduces subtropical marine boundary layer cloudiness. Journal of Climate, 26(19), 7507-7524.   DOI
36 Norris, J. R., 2000, Interannual and interdecadal variability in the storm track, cloudiness, and sea surface temperature over the summertime north pacific. Journal of climate, 13(2), 422-430.   DOI
37 Neggers, R., and Coauthors, 2017, Single-column model simulations of subtropical marine boundary-layer cloud transitions under weakening inversions. Journal of Advances in Modeling Earth Systems, 9(6), 2385-2412.   DOI
38 Norris, J. R., 1998a, Low cloud type over the ocean from surface observations. part i: Relationship to surface meteorology and the vertical distribution of temperature and moisture. Journal of climate, 11(3), 369-382.   DOI
39 Norris, J. R., 1998b, Low cloud type over the ocean from surface observations. part ii: Geographical and seasonal variations. Journal of climate, 11(3), 383-403.   DOI
40 Norris, J. R., and S. F. Iacobellis, 2005, North pacific cloud feedbacks inferred from synoptic-scale dynamic and thermodynamic relationships. Journal of Climate, 18(22), 4862-4878.   DOI
41 Norris, J. R., and S. A. Klein, 2000, Low cloud type over the ocean from surface observations. part iii: Relationship to vertical motion and the regional surface synoptic environment. Journal of climate, 13(1), 245-256.   DOI
42 Norris, J. R., and C. B. Leovy, 1994, Interannual variability in stratiform cloudiness and sea surface temperature. Journal of climate, 7(12), 1915-1925.   DOI
43 Park, S., 2004, Remote enso influence on mediterranean sky conditions during late summer and autumn: Evidence for a slowly evolving atmospheric bridge. Quarterly Journal of the Royal Meteorological Society, 130(602), 2409-2422.   DOI
44 Park, S., 2014a, A unified convection scheme (unicon). part i: Formulation. Journal of the Atmospheric Sciences, 71(11), 3902-3930.   DOI
45 Park, S., C. Deser, and M. A. Alexander, 2005, Estimation of the surface heat flux response to sea surface temperature anomalies over the global oceans. Journal of climate, 18(21), 4582-4599.   DOI
46 Park, S., 2014b, A unified convection scheme (unicon). part ii: Simulation. Journal of the Atmospheric Sciences, 71(11), 3931-3973.   DOI
47 Park, S., M. A. Alexander, and C. Deser, 2006, The impact of cloud radiative feedback, remote enso forcing, and entrainment on the persistence of north pacific sea surface temperature anomalies. Journal of climate, 19(23), 6243-6261.   DOI
48 Park, S., C. S. Bretherton, and P. J. Rasch, 2014, Integrating cloud processes in the community atmosphere model, version 5. Journal of Climate, 27(18), 6821-6856.   DOI
49 Park, S., and C. B. Leovy, 2004, Marine low-cloud anomalies associated with ENSO. Journal of Climate, 17(17), 3448-3469.   DOI
50 Park, S., C. B. Leovy, and M. A. Rozendaal, 2004, A new heuristic lagrangian marine boundary layer cloud model. Journal of the atmospheric sciences, 61(24), 3002-3024.   DOI
51 Park, S., and J. Shin, 2019, Heuristic estimation of low-level cloud fraction over the globe based on a decoupling parameterization. Atmospheric Chemistry and Physics, 19(8), 5635-5660.   DOI
52 Pilie, R., E. Mack, C. Rogers, U. Katz, and W. Kocmond, 1979, The formation of marine fog and the development of fog-stratus systems along the california coast. Journal of Applied Meteorol- ogy, 18(10), 1275-1286.   DOI
53 Shin, J., and S. Park, 2019, The relationship between low-level cloud amount and its proxies over the globe by cloud types. Atmospheric Chemistry and Physics, In revision.
54 Qu, X., A. Hall, S. A. Klein, and A. M. DeAngelis, 2015, Positive tropical marine low-cloud cover feedback inferred from cloud-controlling factors. Geophysical Research Letters, 42(18), 7767-7775.   DOI
55 Ramanathan, V., R. Cess, E. Harrison, P. Minnis, B. Barkstrom, E. Ahmad, and D. Hartmann, 1989, Cloudradiative forcing and climate: Results from the earth radiation budget experiment. Science, 243(4887), 57-63.   DOI
56 Rossow, W. B., and R. A. Schiffer, 1991, Isccp cloud data products. Bulletin of the American Meteorological Society, 72(1), 2-20.   DOI
57 Simmons, A., S. Uppala, D. Dee, and S. Kobayashi, 2007, Era-interim: New ecmwf reanalysis products from 1989 onwards. ECMWF newsletter, 110(110), 25-35.
58 Slingo, A., 1990, Sensitivity of the earth's radiation budget to changes in low clouds. Nature, 343(6253), 49.