Editorial Type:
Article
Article Type:
Research Article

Surface Contribution to Planetary Albedo Variability in Cryosphere Regions

Xin Qu Department of Atmospheric and Oceanic Sciences, University of California, Los Angeles, Los Angeles, California

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Alex Hall Department of Atmospheric and Oceanic Sciences, University of California, Los Angeles, Los Angeles, California

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Print Publication:
15 Dec 2005
DOI:
https://doi.org/10.1175/JCLI3555.1
Page(s):
5239–5252
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Abstract

Climatological planetary albedo obtained from the International Satellite Cloud Climatology Project (ISCCP) D-series flux dataset is broken down into contributions from the surface and atmosphere in cryosphere regions. The atmosphere accounts for much more of climatological planetary albedo (≥75%) than the surface at all times of the year. The insignificance of the surface contribution over highly reflective cryosphere regions is attributed mostly to the damping effect of the atmosphere. The overlying atmosphere attenuates the surface’s contribution to climatological planetary albedo by reducing the number of solar photons initially reaching the surface and the number of photons initially reflected by the surface that actually reach the top of the atmosphere.

The ISCCP datasets were also used to determine the relative contributions of the surface and atmosphere to seasonal and interannual planetary albedo variability in cryosphere regions. Even damped by the atmosphere to the same degree as in the climatological case, the surface contribution dominates the variability in planetary albedo on seasonal and interannual time scales. The surface accounts for about 75% of the change in climatological planetary albedo from one season to another with similar zenith angle and more than 50% of its interannual variability at nearly all times of the year, especially during seasons with extensive snow and sea ice extent. The dominance of the surface in planetary albedo variability is because surface albedo variability associated with snow and ice fluctuations is significantly larger than atmospheric albedo variability due to cloud fluctuations. The large effect of snow and ice variations on planetary albedo variability suggests that if cloud fields do not change much in a future warmer climate, a retreat of snow cover or sea ice would lead to a significant increase in net incoming solar radiation, resulting in an enhancement of high-latitude climate sensitivity.

Corresponding author address: Xin Qu, Department of Atmospheric and Oceanic Sciences, University of California, Los Angeles, Los Angeles, CA 90095. Email: xinqu@atmos.ucla.edu

Abstract

Climatological planetary albedo obtained from the International Satellite Cloud Climatology Project (ISCCP) D-series flux dataset is broken down into contributions from the surface and atmosphere in cryosphere regions. The atmosphere accounts for much more of climatological planetary albedo (≥75%) than the surface at all times of the year. The insignificance of the surface contribution over highly reflective cryosphere regions is attributed mostly to the damping effect of the atmosphere. The overlying atmosphere attenuates the surface’s contribution to climatological planetary albedo by reducing the number of solar photons initially reaching the surface and the number of photons initially reflected by the surface that actually reach the top of the atmosphere.

The ISCCP datasets were also used to determine the relative contributions of the surface and atmosphere to seasonal and interannual planetary albedo variability in cryosphere regions. Even damped by the atmosphere to the same degree as in the climatological case, the surface contribution dominates the variability in planetary albedo on seasonal and interannual time scales. The surface accounts for about 75% of the change in climatological planetary albedo from one season to another with similar zenith angle and more than 50% of its interannual variability at nearly all times of the year, especially during seasons with extensive snow and sea ice extent. The dominance of the surface in planetary albedo variability is because surface albedo variability associated with snow and ice fluctuations is significantly larger than atmospheric albedo variability due to cloud fluctuations. The large effect of snow and ice variations on planetary albedo variability suggests that if cloud fields do not change much in a future warmer climate, a retreat of snow cover or sea ice would lead to a significant increase in net incoming solar radiation, resulting in an enhancement of high-latitude climate sensitivity.

Corresponding author address: Xin Qu, Department of Atmospheric and Oceanic Sciences, University of California, Los Angeles, Los Angeles, CA 90095. Email: xinqu@atmos.ucla.edu

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  • Budyko, M. I., 1969: The effect of solar radiation variations on the climate of the earth. Tellus, 21 , 611–619.

  • Gloersen, P., C. L. Parkinson, D. J. Cavalieri, J. C. Comiso, and H. J. Zwally, 1999: Spatial distribution of trends and seasonality in the hemispheric sea ice covers: 1978–1996. J. Geophys. Res., 104 , C9,. 20827–20835.

    • Search Google Scholar
    • Export Citation

  • Groisman, P. Y., T. R. Karl, and R. W. Knight, 1994: Observed impact of snow cover on the heat balance and the rise of continental spring temperatures. Science, 263 , 198–200.

    • Search Google Scholar
    • Export Citation

  • Grotjahn, R., 1993: Zonal average observations. Global Atmospheric Circulations: Observations and Theories, Oxford University Press, 39–89.

    • Search Google Scholar
    • Export Citation

  • Hall, A., 2004: The role of surface albedo feedback in climate. J. Climate, 17 , 1550–1568.

  • Hatzianastassiou, N., N. Cleridou, and I. Vardavas, 2001: Polar cloud climatologies from ISCCP C2 and D2. J. Climate, 14 , 3851–3862.

  • Kiehl, J. T., and K. E. Trenberth, 1997: Earth’s annual global mean energy budget. Bull. Amer. Meteor. Soc., 78 , 197–208.

  • Kukla, G., and D. Robinson, 1980: Annual cycle of surface albedo. Mon. Wea. Rev., 108 , 56–68.

  • Laine, V., and M. Heikinheimo, 1996: Estimation of surface albedo from NOAA AVHRR data in high latitudes. Tellus, 48A , 424–441.

  • Liou, K. N., 1992: Introduction. Radiation and Cloud Processes in the Atmosphere, Oxford University Press, 3–19.

  • Manabe, S., and R. J. Stouffer, 1980: Sensitivity of a global climate model to an increase of CO2 concentration in the atmosphere. J. Geophys. Res., 85 , C10,. 5529–5554.

    • Search Google Scholar
    • Export Citation

  • Parkinson, C. L., 1991: Interannual variability of the spatial distribution of sea ice in the north polar region. J. Geophys. Res., 96 , C3,. 4791–4801.

    • Search Google Scholar
    • Export Citation

  • Parkinson, C. L., 1992: Interannual variability of monthly southern ocean sea ice distributions. J. Geophys. Res., 97 , C4,. 5349–5363.

    • Search Google Scholar
    • Export Citation

  • Robinson, D. A., K. F. Dewey, and R. R. Heim Jr., 1993: Global snow cover monitoring: An update. Bull. Amer. Meteor. Soc., 74 , 1689–1696.

    • Search Google Scholar
    • Export Citation

  • Robock, A., 1980: The seasonal cycle of snow cover, sea ice and surface albedo. Mon. Wea. Rev., 108 , 267–285.

  • Robock, A., 1983: Ice and snow feedbacks and the latitudinal and seasonal distribution of climate sensitivity. J. Atmos. Sci., 40 , 986–997.

    • Search Google Scholar
    • Export Citation

  • Rossow, W. B., and R. A. Schiffer, 1991: ISCCP cloud data products. Bull. Amer. Meteor. Soc., 72 , 2–20.

  • Rossow, W. B., and L. C. Garder, 1993a: Cloud detection using satellite measurements of infrared and visible radiances for ISCCP. J. Climate, 6 , 2341–2369.

    • Search Google Scholar
    • Export Citation

  • Rossow, W. B., and L. C. Garder, 1993b: Validation of ISCCP cloud detections. J. Climate, 6 , 2370–2393.

  • Rossow, W. B., and R. A. Schiffer, 1999: Advances in understanding clouds from ISCCP. Bull. Amer. Meteor. Soc., 80 , 2261–2287.

  • Rossow, W. B., A. W. Walker, and L. C. Garder, 1993: Comparison of ISCCP and other cloud amounts. J. Climate, 6 , 2394–2418.

  • Rossow, W. B., A. W. Walker, D. Beuschel, and M. Roiter, 1996: International Satellite Cloud Climatological Project (ISCCP) description of new cloud datasets. WMO/TD 737, World Climate Research Programme (ICSU AND WMO), 115 pp.

  • Sellers, W. D., 1969: A global climatic model based on the energy balance of the earth-atmosphere system. J. Appl. Meteor., 8 , 392–400.

    • Search Google Scholar
    • Export Citation

  • Vinnikov, K. Y., and Coauthors, 1999: Global warming and Northern Hemisphere sea ice extent. Science, 286 , 1934–1937.

  • Vinnikov, K. Y., A. Robock, D. J. Cavalieri, and C. L. Parkinson, 2002: Analysis of seasonal cycles in climatic trends with application to satellite observations of sea ice extent. Geophys. Res. Lett., 29 .1310, doi:10.1029/2001GL014481.

    • Search Google Scholar
    • Export Citation

  • Walland, D. J., and I. Simmonds, 1997: North American and Eurasian snow cover covariability. Tellus, 49A , 503–512.

  • Zhang, Y-C., W. B. Rossow, A. A. Lacis, V. Oinas, and M. M. Mishchenko, 2004: Calculation of radiative fluxes from the surface to top of atmosphere based on ISCCP and other global datasets: Refinements of the radiative transfer model and the input data. J. Geophys. Res., 109 .D19105, doi:10.1029/2003JD004457.

    • Search Google Scholar
    • Export Citation
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