The results of calculating of the ice compactness presented in Fig. 3 with the
data assimilation correspond well to the observed tendencies. The decrease in the
ice thickness in the Arctic indicates the warming of sea temperature at the Polar
latitudes and agrees with the observations.
Figure 4 shows the pronounced difference of time-variability of average ice
thickness both reference (solid line) and analysis (dashed line). One can see that the
reference results overestimates the forecast of ice thickness, but both curves
maintain a general tendency, which agrees with the observations during the period
2010–2014. After halting the assimilation, the analysis curve returns to the model
reference one.
The results of numerical experiments bring us to the conclusions that the model
climate fields after assimilation agree with the natural tendencies. In the future
experiments we plan to increase the number of observations and improve the
comparison based on the assimilation methods and strategy.
The second series of experiments has been carried out with the
temperature-salinity profiles downloaded from the WOCE data. This was the
WOCE section A06, the chief scientist was Christian Colin from the Office de la
Recherche Scientifique et Technique Outre-Mer (ORSTOM, France). The WOCE
section was occupied along 8° N and continued along the 10° E meridian. The dates
of the cruise on R/V “L’Atalante’ were from January 2, 1993 to March 19, 1993.
The data from the Conductivity-Temperature-Depth (CTD) instrument have
been collected from the sea surface to the bottom and include temperature and
salinity profiles. Before assimilation all data passed the quality control, the badly
recorded data have been discarded. A total of about 700 temperature and salinity
records have been included into the assimilation procedure. It is reasonable to note
Fig. 4 Time-variability of the average ice thickness in the Arctic in 2010–2014. Reference
experiment is shown with the solid line, analysis is shown with a dashed line
Numerical Realization of Hybrid Data Assimilation Algorithm …
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