2024
DOI: 10.1002/ppp.2223
|View full text |Cite
|
Sign up to set email alerts
|

Influences of Snow Cover on the Thermal Regimes of Xing'an Permafrost in Northeast China in 1960s–2010s

Hongwei Wang,
Huijun Jin,
Tao Che
et al.

Abstract: The distributive characteristics of snow cover and their impacting mechanisms on ground thermal regimes in Northeast China remain evasive because of limited systematic studies. In this study, based on long‐term ground‐based observational data and auxiliary topographic data, geographically weighted regression kriging (GWRK) method and the temperature at the top of permafrost (TTOP) model were used to analyze the influences of snow cover duration (SCD) and average snow depth over the SCD (ASDSCD) on the thermal … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
2
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
3
1

Relationship

1
3

Authors

Journals

citations
Cited by 4 publications
(2 citation statements)
references
References 111 publications
0
2
0
Order By: Relevance
“…Note: • C/10a(Xie and Kosaka 2017), and similar results were also found in Northeast China(Sun et al 2018, Zhou et al 2020b. For example, analysis Climate, snow cover, and vegetation interact with each other and collectively influence ALT and ground temperatures of near-surface permafrost(Wang et al 2024). It is well-known that permafrost temperatures can lag behind climate change(Zhou et al 2000a).…”
mentioning
confidence: 58%
“…Note: • C/10a(Xie and Kosaka 2017), and similar results were also found in Northeast China(Sun et al 2018, Zhou et al 2020b. For example, analysis Climate, snow cover, and vegetation interact with each other and collectively influence ALT and ground temperatures of near-surface permafrost(Wang et al 2024). It is well-known that permafrost temperatures can lag behind climate change(Zhou et al 2000a).…”
mentioning
confidence: 58%
“…Located on the southern margin of Eastern Asian hemiboreal forests and permafrost zones, the Da Xing'anling (Hinggan) Mountains in Northeast China are prone to frequent and massive wildfires. The Xing'an permafrost here is controlled or strongly affected by many local factors, such as dense vegetation cover, thick organic layer, stable snow cover, and anthropic development (Jin et al, 2007;Șerban et al, 2021;Wang et al, 2024). The ecosystem-dominated (driven, modified, or protected) permafrost is very sensitive to climate warming and prone to wildfires (Shur and Jorgenson, 2007).…”
Section: Introductionmentioning
confidence: 99%