Seasonal prediction skill of winter temperature over North India
The climatology, amplitude error, phase error, and mean square skill score (MSSS) of temperature predictions from five different state-of-the-art general circulation models (GCMs) have been examined for the winter (December–January–February) seasons over North India. In this region, temperature vari...
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Veröffentlicht in: | Theoretical and applied climatology 2016-04, Vol.124 (1-2), p.15-29 |
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Sprache: | eng |
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