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
收藏
页码：59 / +
页数：15
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