Snow depth alteration and its relation with climate variability in China

气候学 环境科学 降水 代理(统计) 高原(数学) 异常(物理) 雪线 气候变化 自然地理学 中国 大气科学 积雪 地质学 地理 气象学 物理 考古 数学分析 机器学习 海洋学 计算机科学 数学 凝聚态物理
作者
Muattar Saydi,Guoping Tang,Jianli Ding,Zhengang Wang
出处
期刊:International Journal of Climatology [Wiley]
卷期号:43 (6): 2623-2646 被引量:2
标识
DOI:10.1002/joc.7993
摘要

Abstract Various climatic factors and their interactions affect China's snow depth alterations. However, a measure of the relative importance of climatic factors regarding the variance in snow depth is lacking. Here, we use a heretofore largest dataset, quality‐controlled daily observations from 1,665 meteorological stations, and statistical analyses to identify proxy drivers and their contributions regarding regional variability and trends in China's snow depth and snow depth‐climate relationships from 1951 to 2019. Results show that seasonal snow depth alterations are substantial in China and caused by various climatic drivers. In winter, observed positive trends in the northwest and northeast of China mainly respond to augmentation in solid precipitation and snow accumulation in fall. For the Tibetan Plateau, the negative snow depth anomaly seems to respond to the rising air temperature below the freezing point along with some secular changes in solid precipitation and shallower fall snowpacks. All these trends in winter snow depth over the northwest, northeast, and Tibetan Plateau of China account approximately for 30% of the total interannual variance in spring snow depth in these regions. In the milder central north and south of China, snow accumulation is not evident. Besides solid precipitation and rising air temperature below the freezing point, atmospheric humidity is also notable for its effect on the interannual variance in winter snow depth in these regions. In spring and fall, however, the negative effect of warming climate on snow depth becomes remarkably more important. It seems that about 13–33% (12–50%) of the total interannual variance in the widespread decrease (insignificant perturbation), except for some weak increases in the northeast region (decreases in the Tibetan Plateau), of China's spring (fall) snow depth are caused by the rising air temperature below the freezing point.
最长约 10秒,即可获得该文献文件

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
1秒前
乐乐应助236采纳,获得10
1秒前
伶俐的亦凝完成签到,获得积分10
1秒前
Lee完成签到,获得积分10
1秒前
朵朵完成签到,获得积分10
2秒前
111aa完成签到,获得积分10
2秒前
Brand_xu发布了新的文献求助10
3秒前
番茄番茄完成签到 ,获得积分10
3秒前
1111发布了新的文献求助10
4秒前
舒适的馒头完成签到,获得积分10
4秒前
元小夏完成签到,获得积分10
5秒前
6秒前
6秒前
6秒前
7秒前
瑾色完成签到,获得积分10
7秒前
7秒前
科研通AI6.2应助Csea采纳,获得10
7秒前
ZUOYAN完成签到 ,获得积分10
7秒前
Tina完成签到,获得积分10
8秒前
化工渣渣完成签到,获得积分10
8秒前
8秒前
科研通AI6.2应助复杂冬日采纳,获得10
8秒前
Judles应助自然的听南采纳,获得10
9秒前
9秒前
10秒前
10秒前
糜厉完成签到,获得积分10
10秒前
梁凉凉完成签到 ,获得积分10
10秒前
10秒前
May完成签到,获得积分10
10秒前
星悦完成签到,获得积分10
11秒前
dzzza完成签到,获得积分10
11秒前
一二完成签到,获得积分10
12秒前
12秒前
华仔应助呜呼呼采纳,获得10
12秒前
ding应助HM采纳,获得10
12秒前
小狗黑头发布了新的文献求助10
12秒前
sisiya完成签到,获得积分10
12秒前
ww完成签到,获得积分10
12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
Principles of town planning: translating concepts to applications 1000
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
核安全综合知识2024版 500
Photothermal Science and Techniques 500
Digital Displacement Hydrostatic Transmission for Rotorcraft and Distributed Propulsion 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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7706375
求助须知:如何正确求助?哪些是违规求助? 9263881
关于积分的说明 20046346
捐赠科研通 7282238
什么是DOI,文献DOI怎么找? 3295644
关于科研通互助平台的介绍 2450692
邀请新用户注册赠送积分活动 2302526