A new North Atlantic Oscillation index and its variability

北大西洋涛动 气候学 厄尔尼诺南方涛动 海面温度 环境科学 数学 地质学
作者
LI Jianping,Julian X.L.Wang
出处
期刊:Advances in Atmospheric Sciences [Springer Science+Business Media]
卷期号:20 (5): 661-676 被引量:143
标识
DOI:10.1007/bf02915394
摘要

A new North Atlantic Oscillation (NAO) index, the NAOI, is defined as the differences of normalized sea level pressures regionally zonal-averaged over a broad range of longitudes 80°W-30°E. A comprehensive comparison of six NAO indices indicates that the new NAOI provides a more faithful representation of the spatial-temporal variability associated with the NAO on all timescales. A very high signal-to-noise ratio for the NAOI exists for all seasons, and the life cycle represented by the NAOI describes well the seasonal migration for action centers of the NAO. The NAOI captures a larger fraction of the variance of sea level pressure over the North Atlantic sector (20°–90°N, 80°W-30°E), on average 10% more than any other NAO index. There are quite different relationships between the NAOI and surface air temperature during winter and summer. A novel feature, however, is that the NAOI is significantly negative correlated with surface air temperature over the North Atlantic Ocean between 10°–25°N and 70°-30°W, whether in winter or summer. From 1873, the NAOI exhibits strong interannual and decadal variability. Its interannual variability of the twelve calendar months is obviously phase-locked with the seasonal cycle. Moreover, the annual NAOI exhibits a clearer decadal variability in amplitude than the winter NAOI. An upward trend is found in the annual NAOI between the 1870s and 1910s, while the other winter NAO indices fail to show this tendency. The annual NAOI exhibits a strongly positive epoch of 50 years between 1896 and 1950. After 1950, the variability of the annual NAOI is very similar to that of the winter NAO indices.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
wu完成签到,获得积分10
刚刚
rebeycca发布了新的文献求助10
2秒前
小马甲应助白小胖采纳,获得10
2秒前
3秒前
领导范儿应助kk采纳,获得10
6秒前
baire发布了新的文献求助10
6秒前
7秒前
张琦发布了新的文献求助10
9秒前
ding应助糖堆儿爱吃糖采纳,获得10
10秒前
科研狗发布了新的文献求助10
12秒前
12秒前
15秒前
sqq发布了新的文献求助10
15秒前
16秒前
白小胖发布了新的文献求助10
18秒前
ww发布了新的文献求助10
19秒前
19秒前
yating发布了新的文献求助10
20秒前
20秒前
勤劳半青完成签到,获得积分10
20秒前
Edwin完成签到,获得积分10
22秒前
独行业完成签到,获得积分10
22秒前
BIBIYU完成签到 ,获得积分10
23秒前
24秒前
柯幼萱完成签到,获得积分10
24秒前
xyc完成签到 ,获得积分10
25秒前
26秒前
临涯子发布了新的文献求助10
26秒前
念明发布了新的文献求助10
26秒前
张琦发布了新的文献求助30
27秒前
小二郎应助lingzhi采纳,获得10
27秒前
sanshiqi发布了新的文献求助10
29秒前
天天快乐应助QAQ77采纳,获得10
31秒前
baire发布了新的文献求助30
31秒前
32秒前
33秒前
乐乐应助彩色的明雪采纳,获得10
33秒前
33秒前
Yxianzi发布了新的文献求助10
34秒前
34秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6354273
求助须知:如何正确求助?哪些是违规求助? 8169264
关于积分的说明 17196734
捐赠科研通 5410345
什么是DOI,文献DOI怎么找? 2863933
邀请新用户注册赠送积分活动 1841387
关于科研通互助平台的介绍 1689964