Abstract
Surface albedo, the ratio of the upwelling solar irradiance to the downwelling irradiance at the surface of the Earth, is a significant indicator of environmental conditions and a key parameter for calculation of the radiation budgets of the atmosphere and surface. By knowing the surface albedo (α), one can estimate the amount of heat produced at the surface by the absorption of incident solar radiation. The albedo has strong temporal and spatial variations that influence the regional and global surface energy budget. For a vegetated surface, α can change with plant phenology, soil moisture content, and fractional canopy cover, as well as solar zenith angle. Uncertainties in α translate almost directly into errors in the calculation of net radiation and energy fluxes and have been investigated in many studies. In a review of studies on the sensitivity of climate models to surface albedo changes, (1983) concluded that an accuracy of ±0.05 in α was needed for climate modeling purposes. To evaluate in detail the variations in α on diurnal and seasonal scales, ground-based measurements are usually essential. In principle, factors internal to the vegetative canopy should be examined separately from external factors, but albedo measurements made above vegetation usually do not distinguish between canopy and noncanopy effects. Hence, the role of noncanopy surfaces often has to be inferred, which requires careful analysis. In this chapter, the diurnal asymmetry in α is investigated using field observations above the canopy. The contributions of the phenological effects on α excluding the influence of solar zenith angle are examined. In addition, phenological effects on the conversion of narrowband satellite data to the broadband albedo α are explored.
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References Cited
Brest, C. L., and S. N. Goward, Deriving surface albedo measurements from narrow band satellite data, Int. J. Remote Sensing, 8, 351–367, 1987.
Gutman, G., G. Ohring, D. Tarpley, and R. Ambroziak, Albedo of the US Great Plains as determined from NOAA-9 AVHRR data, J. Climate, 2, 608–617, 1989.
He, C., K. Kittleson, and J. Bartholic, Evapotranspiration monitored from satellite as an indication of shift and impact of vegetation change, Preprints of the Twenty-First International Symposium on Remote Sensing of Environment, Ann Arbor, MI, 1987.
Henderson-Sellers, A., and M. F. Wilson, Surface albedo for climatic modeling, Reviews of Geophysics and Space Physics, 21, 1743–1778, 1983.
Hicks, B. B., J. J. DeLuisi, and D. R. Matt, The NOAA Integrated Surface Irradiance Study (ISIS)—A new surface radiation monitoring program, Bull. Amer. Meteorol. Soc., 77, 2857–2864, 1996.
Idso, S. B., R. D. Jackson, R. J. Reginato, B. A. Kimball, and F. S. Nakayama, The dependence of bare soil albedo on soil water content, J. Appl. Meteorol., 14, 109–113, 1975.
Minnis, P., S. Mayor, W. L. Smithn Jr., and D. F. Young, Asymmetry in the diurnal variation of surface albedo, IEEE Transactions on Geoscience and Remote Sensing, 35, 879–891, 1997.
Monteith, J. L., and M. H. Unsworth, Principles of Environmental Physics, 2nd ed., Arnold, New York, 291 pp., 1990.
Pinker, R. T. Determination of surface albedo from satellites, Advanced Space Research, 5, 333–343, 1985.
Potdar, M. B., and A. Narayana, Determining short-wave planetary albedo from spectral signatures of land-ocean features and albedo mapping using NOAA AVHRR data, Acta Astronautica, 29, 687–690, 1993.
Ripley, E. A., and R. E. Redmann, Grassland, in Vegetation and the Atmosphere, 2, Case Studies, edited by J. L. Monteith, pp. 351–398, Academic Press, London, 1976.
Russell, M. J., M. Nunez, M. A. Chladil, J. A. Valiente, and E. Lopez-Baeza, Conversion of nadir, narrowband reflectance in red and near-infrared channel to hemispherical surface albedo, Remote Sensing Environ., 61, 16–23, 1997.
Saunders, R. W., The determination of broad band surface albedo from AVHRR visible and near-infrared radiances, Int. J. Remote Sensing, 11, 49–67, 1990.
Sellers, W. D., Physical Climatology, The University of Chicago Press, Chicago, 272 pp., 1965.
Sellers, P. J., F. G. Hall, G. Asrar, D. E. Strebel, and R. E. Murphy, The first ISLSCP field experiment (FIFE), Bull. Amer. Meteorol. Soc., 69, 22–27, 1988.
Song, J., Influence of heterogeneous land surfaces on the surface energy budget at meso-and large scales, Ph.D. Dissertation, University of Delaware, Newark, 1995.
Song, J., Diurnal asymmetry in surface albedo, Agricult. Forest Meteorol., 92, 181–189, 1998.
Song, J., Phenological Influences on the albedo of prairie grassland and crop fields, Int. J. Biometeorol., 42, 153–157, 1999.
Song, J., and W. Gao, An Improved method to derive surface albedo from narrowband AVHRR satellite data: Narrowband to broadband conversion, J. Appl. Meteorol., 38, 239–249, 1999.
Strebel, D. E., D. R. Landis, K. F. Huemmrich, and B. W. Meeson, Collected data of the first ISLSCP field experiment, Vol. 1, Surface observations and non-image data sets, CD-ROM series, NASA Goddard Space Flight Center, 1994 [Data also available online at the following address: http://www-eosdis.ornl.gov/FIFE/FIFE_Home.html].
Taylor, V. R., and L. L. Stowe, Reflectance characteristics of uniform earth and cloud surfaces derived fromNimbus-7 ERB, J. Geophys. Res., 89(D4), 4987–4996.
Valiente, J. A., M. Nunez, E. Lopez-Baeza, and J. F. Moreno, Narrow-band to broad-band conversion for Meteosat-visible channel and broad-band albedo using both AVHRR-1 and-2 channels, Int. J. Remote Sensing, 16, 1147–1166, 1995.
Vulis, I. L., and R. D. Cess, Interpretation of surface and planetary directional albedo for vegetated regions, J. Climate, 2, 986–996, 1989.
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Song, J. (2003). Radiation Measurements. In: Schwartz, M.D. (eds) Phenology: An Integrative Environmental Science. Tasks for Vegetation Science, vol 39. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-0632-3_30
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DOI: https://doi.org/10.1007/978-94-007-0632-3_30
Publisher Name: Springer, Dordrecht
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