Sporadic sodium layers and the average vertical distribution of atmospheric sodium: Comparison of different Nas layer strengths

大气科学 图层(电子) 环境科学 分布(数学) 材料科学 气象学 地质学 物理 数学 复合材料 数学分析 冶金
作者
D. M. Simonich,B. R. Clemesha
出处
期刊:Advances in Space Research [Elsevier]
卷期号:42 (1): 229-233 被引量:4
标识
DOI:10.1016/j.asr.2008.03.027
摘要

In an earlier study of sporadic sodium layers (Nas) [Simonich, D.M., Clemesha B.R., Batista, P.P. Sporadic layers and the vertical distribution of atmospheric sodium. Adv. Space Res. 35, 1976–1980, 2005], observed by lidar at Sao Jose do Campos (23°S, 46°W) we found that, although individual profiles give the impression that Nas layers involve sodium additional to the normal background layer, there is very little difference between the long-term averages of profiles with and without the presence of Nas. This led us to conclude that Nas layers result from the redistribution of an omnipresent source, rather than an additional source mechanism. We have now extended this study to investigate whether or not the relative magnitude of Nas layers influences this conclusion. To this end we manually characterized all the profiles obtained in the time interval from 1900 to 2200 LT for the years 1993–2004. This involved registering the upper and lower limits to each Nas layer observed, the height of the peak and the sodium concentration at each of these three points. We then computed average profiles for Nas layers of differing strengths, with strength defined as the concentration at the peak divided by the mean of the concentrations at the upper and lower boundaries. For strengths up to 4 the results confirmed our earlier conclusion but for Nas layer strengths greater than 4 we found a significant difference between the average profiles with and without Nas. For the strong Nas layers both the average abundance and the average peak sodium concentration were about 10% greater than for layers without Nas. This leads to the possibility that a different mechanism might be responsible for very stronger sporadic layers although we do not think this very likely.

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
刚刚
2秒前
星星完成签到,获得积分10
3秒前
egret完成签到,获得积分10
3秒前
wz1666发布了新的文献求助10
5秒前
5秒前
bkagyin应助寒冷白亦采纳,获得10
5秒前
5秒前
于冬雪发布了新的文献求助10
6秒前
6秒前
妮可发布了新的文献求助10
6秒前
9秒前
安渝发布了新的文献求助10
10秒前
lxl发布了新的文献求助10
10秒前
Spike完成签到,获得积分10
12秒前
qqq发布了新的文献求助10
12秒前
人生捕手完成签到,获得积分10
13秒前
13秒前
dopamine发布了新的文献求助10
13秒前
15秒前
青山完成签到,获得积分10
16秒前
你好完成签到,获得积分10
16秒前
小雅完成签到,获得积分10
17秒前
18秒前
妮可完成签到,获得积分10
19秒前
阿啵呲嘚呃of咯完成签到,获得积分10
19秒前
20秒前
优雅夕阳完成签到 ,获得积分0
20秒前
20秒前
21秒前
柔弱绫完成签到,获得积分10
21秒前
lili发布了新的文献求助10
22秒前
小冯完成签到,获得积分10
23秒前
Liu完成签到,获得积分10
23秒前
领导范儿应助悲凉的靖易采纳,获得10
23秒前
居无何完成签到 ,获得积分10
23秒前
善学以致用应助安渝采纳,获得10
24秒前
牛角包发布了新的文献求助10
24秒前
科研通AI6.3应助Wt采纳,获得10
24秒前
多多完成签到,获得积分10
25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
Modern Epidemiology, Fourth Edition 5000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6018687
求助须知:如何正确求助?哪些是违规求助? 7608739
关于积分的说明 16159862
捐赠科研通 5166400
什么是DOI,文献DOI怎么找? 2765269
邀请新用户注册赠送积分活动 1746904
关于科研通互助平台的介绍 1635397