Jökull


Jökull - 01.07.2003, Page 11

Jökull - 01.07.2003, Page 11
A calibrated mass balance model for Vatnajökull Figure 5. a: Average 2 m temperature ( ) as a function of surface altitude, for different values of the temper- ature in Kirkjubæjarklaustur (); b: 2 m lapse rate ( ) and 2 m temperature deviation at sea-level ( ) as a function of , both determined from the linear regressions in plot a. The data points for  = 0ÆC are boundary conditions. – a: Tengsl hita á Kirkjubæjarklaustri ( ) og lofthita í 2 m hæð á Vatnajökli ( ). b: hitastigull ( ) og hitafrávik ( ) við sjávarmál sem fall af hitastigi á Kirkjubæjarklaustri (). mentum, heat and moisture. However, the dynamics of the katabatic layer are very complex and external effects such as advection further complicate the sit- uation. On the other hand, when we analyzed the data we found that  can be adequately described by empirical relations that result in correct sensitivities.  decreases linearly with altitude (Oerlemans et al., 1999) and we found that this decrease changes with  (Figure 5a). We therefore write       (4) where   is  at sea-level,  is the lapse rate of  and  is the altitude. The dependence of both coef- ficients in equation 4 upon  is shown in Figure 5b. For low temperatures hardly any katabatic flow exists and  nearly equals  . For higher temperatures,  grows less negative and   deviates more from . For high values of ,  approaches -2.5 K/km.  is best described by an inverse tangent (Figure 5b):           (5) When we impose the boundary condition that   equals  for  = 0ÆC, we can describe the depen- dence of   upon  with (Figure 5b):        (6) So the higher T, the less negative  and the more negative the deviation of  from  . These results are not surprising because the katabatic layer, which reduces  and  , is better developed at higher tem- peratures. Table 2 shows that mean observed and sim- ulated values of  correspond reasonably well. The parameterization of  produces mean errors between 0 and 1.2 K, but this error is much smaller than the mean difference between   and  . The sensitiv- ities that result from the parameterization correspond well with the observed sensitivities (Table 1). JÖKULL No. 52, 2003 9

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