2014
DOI: 10.1088/1748-9326/9/6/064026
|View full text |Cite
|
Sign up to set email alerts
|

An observation-based assessment of the influences of air temperature and snow depth on soil temperature in Russia

Abstract: This study assessed trends in the variability of soil temperature (T SOIL ) using spatially averaged observation records from Russian meteorological land stations. The contributions of surface air temperature (SAT) and snow depth (SND) to T SOIL variation were quantitatively evaluated. Composite time series of these data revealed positive trends during the period of 1921-2011, with accelerated increases since the 1970s. The T SOIL warming rate over the entire period was faster than the SAT warming rate in both… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

3
59
0
1

Year Published

2014
2014
2022
2022

Publication Types

Select...
9

Relationship

2
7

Authors

Journals

citations
Cited by 89 publications
(63 citation statements)
references
References 19 publications
(37 reference statements)
3
59
0
1
Order By: Relevance
“…This percentage was greater than or equal to the contribution of the SAT. Our assessment is generally consistent with previous studies (Stieglitz et al 2003;Osterkamp 2007;Lawrence and Slater 2010;Park et al 2014 …”
Section: Contributions Of Sat and Snd To T Soilsupporting
confidence: 92%
See 1 more Smart Citation
“…This percentage was greater than or equal to the contribution of the SAT. Our assessment is generally consistent with previous studies (Stieglitz et al 2003;Osterkamp 2007;Lawrence and Slater 2010;Park et al 2014 …”
Section: Contributions Of Sat and Snd To T Soilsupporting
confidence: 92%
“…A change in an area with deeper SND in the winter could have a smaller effect than the same changes in an area with shallower SND because snow insulation varies more strongly at shallow depths (Park et al 2014). This is evident in Fig.…”
Section: Soil Temperaturementioning
confidence: 99%
“…5 for each model. Based on ground soil temperature observation, annual T s at 1.6 m increased by 0.02-0.03 • C yr −1 from the 1960s to 2000s in Russia (Park et al, 2014). The simulated trends of T s at 1.6 m over BOAS in most models are within this range (Fig.…”
Section: Attenuation Of the Trend In Soil Temperature With Soil Depthmentioning
confidence: 78%
“…Firstly, study years with 365 daily records were utilized in the annual indices. Secondly, we detect the outliers with 3 standard deviations (3σ ) from its long-term mean as described by Polyakov et al (2003) and Park et al (2014). To ensure a specific outlier which may be questionable, we check the outlier with neighboring stations within 200 km.…”
Section: Methodsmentioning
confidence: 99%