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Tabl e 3. 1 Information about 15 Russian river basins used in this study according to STN-30p
Basin name
Basin area, km 2
Basin area, km 2
Basin length, km
Basin name
Basin length, km
Rivers of Arctic basin (Asia)
Rivers of Arctic basin (European part)
Ob
4;257:41
3;025;923:25 Dvina
1;414:96
360;944:03
Ye n i s e i
4;898:93
2;578;730:25 Pechora
1;491:99
314;291:81
Lena
4;365:71
2;441;815:75 River of Pacific Ocean basin (Far East)
Kolyma
1;971:77
665;648:06 Amur
3;644:61
1;754;681:0
Khatanga
1;370:25
370;352:91 Rivers of European part
Indigirka
1;451:13
334;126:38 Vo l g a
2;785:36
1;476;411:38
Anadyr
1;011:96
225;847:92 Dnepr
1;543:60
508;839:19
Ya n a
997:73
224;992:69 Don
1;400:51
423;038:44
Olenek
1;644:33
223;189:27
Fig. 3.4 Average mass changes in the basins of 15 large Russian rivers for the sum of SNs 1-10,
trend PC 2 ( top ), and annual PC 1 ( bottom ), together with a forecast by neural network
level of mass anomaly sufficiently surpasses the prediction. Unprecedented maxima
can be seen in April 2013 that can be attributed to huge snow accumulation over
Russia.
Figure 3.4 , bottom, depicts the average plot only for the annual oscillation
captured by PC 1. Prediction for this annual term worked better. Annual term
 
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