Assessing Surface–Atmosphere Interactions Using Former Soviet Union Standard Meteorological Network Data. Part II: Cloud and Snow Cover EffectsJournal of Climate (1997)
AbstractGroisman and Genikhovich developed a method to obtain direct estimates of surface turbulent heat fluxes. The authors now apply it to the territory of the former Soviet Union using the 3-/6-h data of 257 stations for the past several decades to assess the sensitivity of sensible heat flux to cloud and snow cover. This property was quantified for bare soil landscapes over the entire country. During the day, the presence of clouds is associated with low values of sensible heat flux from the surface to the atmosphere. At night (and during the day in winter in high latitudes), the sign of the effect is different, but because the direction of sensible heat flux is also different (from the atmosphere to the surface), the presence of clouds again reduces the turbulent heat exchange between the bare soil and the atmosphere. The estimates of “overall cloud effect” on summer sensible heat flux are compared with similar estimates from five general circulation models to assess the abilities of these GCMs to reproduce the response of this flux to cloud cover change. Snow on the ground is associated with temperature depression. When the effect of this depression is excluded, the presence of snow on the ground is generally associated with less water vapor in the lower troposphere under clear-sky conditions, while the evaporation rate and sensible heat flux are higher than average.
Citation InformationP. Ya Groisman, E. L Genikhovich, Raymond S Bradley and B. M Ilyin. "Assessing Surface–Atmosphere Interactions Using Former Soviet Union Standard Meteorological Network Data. Part II: Cloud and Snow Cover Effects" Journal of Climate Vol. 10 Iss. 9 (1997)
Available at: http://works.bepress.com/raymond_bradley/8/