Improving seasonal prediction practices through attribution of climate variability

被引：57

作者：

Barnston, AG

Kumar, A

Goddard, L

Hoerling, MP

机构：

[1] Columbia Univ, Int Res Inst Climate Predict, Palisades, NY 10964 USA

[2] NOAA, NECP, Climate Predict Ctr, Washington, DC USA

来源：

BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY | 2005年 / 86卷 / 01期

关键词：

D O I：

10.1175/BAMS-86-1-59

中图分类号：

P4 [大气科学（气象学）];

学科分类号：

0706 ; 070601 ;

摘要：

Identification of the part of seasonal climate variability that is predictable from SST is discussed for benefits inf forecasting and in establishing attribution for observed climate states.

引用

页码：59 / +

页数：15

共 126 条

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