AIDJEX Bulletin #40 - Polar Science Center - University of Washington
AIDJEX Bulletin #40 - Polar Science Center - University of Washington
AIDJEX Bulletin #40 - Polar Science Center - University of Washington
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Figures 1-3 show the baseline air stress fields (derived from NWS<br />
analyses <strong>of</strong> surface barometric pressure which were augmented by all <strong>AIDJEX</strong><br />
data; see Appendix) compared with NWS predictions made 24, 36, and 48 hours<br />
preceding the day in each figure. We have chosen to present the driving<br />
force using the predicted air stress. It can be seen that the conditions<br />
are quite different for the three days. On 27 and 30 January the general<br />
features <strong>of</strong> the actual air stress field are represented. On the 30th it<br />
appears that the low pressure moving into the area is displaced, and so<br />
the air stress does not yet appear within the region <strong>of</strong> interest; on 27<br />
January the features observed appear even at the 48-hour prediction level,<br />
although the magnitude in the northern part <strong>of</strong> the region is not modeled<br />
correctly. On 30 January, when high winds were noted throughout the area,<br />
the predicted winds show the correct pattern everywhere, and the 48-hour<br />
prediction is actually better than either the 24- or the 36-hour prediction.<br />
This, <strong>of</strong> course, is chance and not pro<strong>of</strong> <strong>of</strong> a more reliable prediction.<br />
In general, although the main features <strong>of</strong> the air stress field are represented<br />
in these predictions, many <strong>of</strong> the details within the region are approximated<br />
poorly.<br />
To demonstrate the effect <strong>of</strong> these errors in air stress on the simulated<br />
ice response, we performed the &mulation with each <strong>of</strong> the predicted air<br />
stress fields. These calculations provide us with a direct means <strong>of</strong> seeing<br />
how the input errors are transmitted to the simulated ice response.<br />
Before turning to those results, we note that if these driving forces<br />
were observed during times when ice conditions were light enough that ice<br />
stress had no effect on the ice response (a time that occurs <strong>of</strong>ten in the<br />
summer), it would be meaningful to learn, by means <strong>of</strong> a free-drift model,<br />
how the errors were transmitted to the ice response. We have used such a<br />
model with a set <strong>of</strong> driving forces and computed the free-drift or winddriven<br />
ice velocities during the three days <strong>of</strong> interest. The results are<br />
presented in Figures 4-6. In the past we have noted (Pritchard et al., 1977)<br />
that free drift provides a poor prediction <strong>of</strong> the ice response during this<br />
eight-day period. However, this example is not aimed at evaluating<br />
the accuracy <strong>of</strong> the free-drift response, but at estimating the effect <strong>of</strong><br />
errors in the air stress during conditions when ice stress is unimportant.<br />
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