2007
DOI: 10.5194/acp-7-2759-2007
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Effective UV surface albedo of seasonally snow-covered lands

Abstract: Abstract. At ultraviolet wavelengths the albedo of most natural surfaces is small with the striking exception of snow and ice. Therefore, snow cover is a major challenge for various applications based on radiative transfer modelling. The aim of this work was to determine the characteristic effective UV range surface albedo of various land cover types when covered by snow. First we selected 1 by 1 degree sample regions that met three criteria: the sample region contained dominantly subpixels of only one land co… Show more

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Cited by 26 publications
(20 citation statements)
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“…The MTW method was applied to the TOMS 360 nm LER time-series during the period 1979-1992. At high latitudes the new climatology gave larger surface albedo than the MLER climatology, during the snow cover transition periods, where the MTW surface albedo is usually several percent larger than the climatological values (Tanskanen and Manninen, 2007). Higher surface albedo produces higher values of the surface UV estimates; thus, TOMS algorithm produces UV levels lower than OMI estimates over snow covered regions during transition periods.…”
Section: Toms and Omi Productsmentioning
confidence: 99%
“…The MTW method was applied to the TOMS 360 nm LER time-series during the period 1979-1992. At high latitudes the new climatology gave larger surface albedo than the MLER climatology, during the snow cover transition periods, where the MTW surface albedo is usually several percent larger than the climatological values (Tanskanen and Manninen, 2007). Higher surface albedo produces higher values of the surface UV estimates; thus, TOMS algorithm produces UV levels lower than OMI estimates over snow covered regions during transition periods.…”
Section: Toms and Omi Productsmentioning
confidence: 99%
“…Moreover, surface UV albedo is an essential parameter for various applications based on radiative transfer (RT) modeling, including various satellite retrieval algorithms. For example, current satellite UV algorithms demand better information on UV albedo, especially for land when covered by snow (e.g., Arola et al, 2003, Tanskanen andManninen, 2007).…”
Section: Introductionmentioning
confidence: 99%
“…For melting snow seasons these assumptions have to be very carefully implemented in various modeling codes. Also, during snowmelt, the effective surface UV albedo distributions (like those presented in Manninen, 2007, andRobinson andKukla, 1984) are expected to move toward smaller values. We may expect that snow height-dependent parameterizations (like in Arola et al, 2003), in turn, might function well during melt time.…”
Section: On the Importance Of Albedo Estimatesmentioning
confidence: 99%