Jökull

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Jökull - 01.07.2003, Qupperneq 5

Jökull - 01.07.2003, Qupperneq 5
A calibrated mass balance model for Vatnajökull 10 km. Balloon soundings were made frequently near U3 and near I6 to probe the lowest 500 m of the atmo- sphere. Cloud observations were made approximately every 3 hours near station U2 and irregularly near sta- tion R5. The set-up of the experiment and the data are discussed in more detail in Oerlemans et al. (1999). ENERGY BALANCE PARAMETERIZATIONS Surface melt occurs when the energy balance at the surface ( ) is larger than zero. is given by        (1) where  is the surface albedo,  the global radiation,  the incoming longwave radiation,  the outgo- ing longwave radiation, H the turbulent flux of sen- sible heat and H the turbulent flux of latent heat. Global radiation Global radiation is computed according to the pa- rameterization given by Greuell et al. (1997) which is based on Meyers and Dale (1983). This param- eterization is valid for horizontal surfaces. Most of the surface of Vatnajökull slopes very gently, so we apply a first order approximation to take the surface inclination into account. The surface inclination only influences the direct solar radiation, so we distinguish between direct and diffuse shortwave radiation:         (2) where          and    .  denotes the solar irradiance at the top of the atmosphere,  is the solar zenith angle, and is the inclination of the surface in the direction of the sun.  can be easily calculated from standard astro- nomical theory (e.g., Walraven, 1978). For clear skies  is 0.9 and  is 0.1 while for entirely overcast skies  is 0 and  is 1.  ,  ,   and   are trans- mission coefficients that account for Rayleigh scatter- ing and absorption by other gases than water vapor, absorption by water vapor, aerosol extinction and ab- sorption by clouds, respectively. The first three coeffi- cients can directly be calculated from meteorological variables.   and   are tuned to the data in the same way as described in Greuell et al. (1997). The coeffi- cients ,  and  account for the amplification through multiple scattering at the surface, amplifica- tion through directly reflected radiation at the surface and attenuation by horizon obstruction. These three coefficients can be obtained from the DEM. Figure 2a displays hourly means of the observed and simulated global radiation for the stations for which cloud ob- servations are available. Albedo Snow albedo ( ) depends on several climatological and surficial quantities and thus changes in time and space. These quantities are grain size, impurity con- tent, cloudiness, solar inclination, liquid water content and surface roughness (e.g., Warren, 1982). The in- fluence of most of these quantities on  is not well understood and some simplifications have to be made when  is parameterized. We use a parameteriza- tion that describes the daily albedo as a function of ag- ing of the snow and snowdepth (Oerlemans and Knap, 1998). We calibrate this parameterization to the data measured on Vatnajökull. The ice albedo displays large spatial variations over Vatnajökull which cannot be described with a simple parameterization. In the north and northwest (U8, U9 and R2) the mean ice albedo is very low (<0.10). As has been confirmed in situ, these low val- ues are caused by black volcanic deposits, tephra. The tephra melts out and accumulates in the ablation zone. To the south and to the east, the ice is cleaner, but the albedo has not been measured on all major outlets and it varies a lot in some areas. For example, the albedo values measured at the stations A4, A5, I6 and R4 are most likely not representative of their surround- ings (Reijmer et al., 1999). We therefore use satel- lite reflectance images to determine the ice albedo of different parts of Vatnajökull. We do not study the snow albedo in this way, because the snow albedo is more homogeneous on a horizontal scale than the ice albedo. Furthermore, there are too few usable satellite images to resolve changes in snow albedo. We use NOAA-AVHRR images which have a resolution of 1.1 km at nadir. The retrieval method is described by De Ruyter de Wildt et al. (2002). Figure 3 shows one JÖKULL No. 52, 2003 3
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