Spatial and temporal variability of snow depth derived from passive microwave remote sensing data in Kazakhstan

Shamshagul Mashtayeva; Liyun Dai; Tao Che; Zhanay Sagintayev; Saltanat Sadvakasova; Marzhan Kussainova; Danara Alimbayeva; Meerzhan Akynbekkyzy

doi:10.1007/s13351-016-5109-z

Spatial and temporal variability of snow depth derived from passive microwave remote sensing data in Kazakhstan

Shamshagul Mashtayeva, Liyun Dai, Tao Che, Zhanay Sagintayev, Saltanat Sadvakasova, Marzhan Kussainova, Danara Alimbayeva, Meerzhan Akynbekkyzy

Department of Civil and Environmental Engineering

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

Abstract

Snow cover plays an important role in the hydrological cycle and water management in Kazakhstan. However, traditional observations do not meet current needs. In this study, a snow depth retrieval equation was developed based on passive microwave remote sensing data. The average snow depth in winter (ASDW), snow cover duration (SCD), monthly maximum snow depth (MMSD), and annual average snow depth (AASD) were derived for each year to monitor the spatial and temporal snow distributions. The SCD exhibited significant spatial variations from 30 to 250 days. The longest SCD was found in the mountainous area in eastern Kazakhstan, reaching values between 200 and 250 days in 2005. The AASD increased from the south to the north and maintained latitudinal zonality. The MMSD in most areas ranged from 20 to 30 cm. The ASDW values ranged from 15 to 20 cm in the eastern region and were characterized by spatial regularity of latitudinal zonality. The ASDW in the mountainous area often exceeded 20 cm.

Original language	English
Pages (from-to)	1033-1043
Number of pages	11
Journal	Journal of Meteorological Research
Volume	30
Issue number	6
DOIs	https://doi.org/10.1007/s13351-016-5109-z
Publication status	Published - Dec 1 2016

Keywords

Kazakhstan
passive microwave
remote sensing
snow cover
snow depth
spatial and temporal variations

ASJC Scopus subject areas

Control and Systems Engineering
Ocean Engineering
Hardware and Architecture
Computer Science Applications
Atmospheric Science

Access to Document

10.1007/s13351-016-5109-z

Fingerprint Dive into the research topics of 'Spatial and temporal variability of snow depth derived from passive microwave remote sensing data in Kazakhstan'. Together they form a unique fingerprint.

Cite this

Spatial and temporal variability of snow depth derived from passive microwave remote sensing data in Kazakhstan. / Mashtayeva, Shamshagul; Dai, Liyun; Che, Tao; Sagintayev, Zhanay; Sadvakasova, Saltanat; Kussainova, Marzhan; Alimbayeva, Danara; Akynbekkyzy, Meerzhan.

In: Journal of Meteorological Research, Vol. 30, No. 6, 01.12.2016, p. 1033-1043.

Research output: Contribution to journal › Article › peer-review

@article{56ea1ad995054322ac3ce0488ab34381,

title = "Spatial and temporal variability of snow depth derived from passive microwave remote sensing data in Kazakhstan",

abstract = "Snow cover plays an important role in the hydrological cycle and water management in Kazakhstan. However, traditional observations do not meet current needs. In this study, a snow depth retrieval equation was developed based on passive microwave remote sensing data. The average snow depth in winter (ASDW), snow cover duration (SCD), monthly maximum snow depth (MMSD), and annual average snow depth (AASD) were derived for each year to monitor the spatial and temporal snow distributions. The SCD exhibited significant spatial variations from 30 to 250 days. The longest SCD was found in the mountainous area in eastern Kazakhstan, reaching values between 200 and 250 days in 2005. The AASD increased from the south to the north and maintained latitudinal zonality. The MMSD in most areas ranged from 20 to 30 cm. The ASDW values ranged from 15 to 20 cm in the eastern region and were characterized by spatial regularity of latitudinal zonality. The ASDW in the mountainous area often exceeded 20 cm.",

keywords = "Kazakhstan, passive microwave, remote sensing, snow cover, snow depth, spatial and temporal variations",

author = "Shamshagul Mashtayeva and Liyun Dai and Tao Che and Zhanay Sagintayev and Saltanat Sadvakasova and Marzhan Kussainova and Danara Alimbayeva and Meerzhan Akynbekkyzy",

year = "2016",

month = dec,

day = "1",

doi = "10.1007/s13351-016-5109-z",

language = "English",

volume = "30",

pages = "1033--1043",

journal = "Acta Meteorological Sinica (English Edition)",

issn = "2095-6037",

publisher = "China Meteorological Press",

number = "6",

}

TY - JOUR

T1 - Spatial and temporal variability of snow depth derived from passive microwave remote sensing data in Kazakhstan

AU - Mashtayeva, Shamshagul

AU - Dai, Liyun

AU - Che, Tao

AU - Sagintayev, Zhanay

AU - Sadvakasova, Saltanat

AU - Kussainova, Marzhan

AU - Alimbayeva, Danara

AU - Akynbekkyzy, Meerzhan

PY - 2016/12/1

Y1 - 2016/12/1

N2 - Snow cover plays an important role in the hydrological cycle and water management in Kazakhstan. However, traditional observations do not meet current needs. In this study, a snow depth retrieval equation was developed based on passive microwave remote sensing data. The average snow depth in winter (ASDW), snow cover duration (SCD), monthly maximum snow depth (MMSD), and annual average snow depth (AASD) were derived for each year to monitor the spatial and temporal snow distributions. The SCD exhibited significant spatial variations from 30 to 250 days. The longest SCD was found in the mountainous area in eastern Kazakhstan, reaching values between 200 and 250 days in 2005. The AASD increased from the south to the north and maintained latitudinal zonality. The MMSD in most areas ranged from 20 to 30 cm. The ASDW values ranged from 15 to 20 cm in the eastern region and were characterized by spatial regularity of latitudinal zonality. The ASDW in the mountainous area often exceeded 20 cm.

AB - Snow cover plays an important role in the hydrological cycle and water management in Kazakhstan. However, traditional observations do not meet current needs. In this study, a snow depth retrieval equation was developed based on passive microwave remote sensing data. The average snow depth in winter (ASDW), snow cover duration (SCD), monthly maximum snow depth (MMSD), and annual average snow depth (AASD) were derived for each year to monitor the spatial and temporal snow distributions. The SCD exhibited significant spatial variations from 30 to 250 days. The longest SCD was found in the mountainous area in eastern Kazakhstan, reaching values between 200 and 250 days in 2005. The AASD increased from the south to the north and maintained latitudinal zonality. The MMSD in most areas ranged from 20 to 30 cm. The ASDW values ranged from 15 to 20 cm in the eastern region and were characterized by spatial regularity of latitudinal zonality. The ASDW in the mountainous area often exceeded 20 cm.

KW - Kazakhstan

KW - passive microwave

KW - remote sensing

KW - snow cover

KW - snow depth

KW - spatial and temporal variations

UR - http://www.scopus.com/inward/record.url?scp=85009759000&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85009759000&partnerID=8YFLogxK

U2 - 10.1007/s13351-016-5109-z

DO - 10.1007/s13351-016-5109-z

M3 - Article

AN - SCOPUS:85009759000

VL - 30

SP - 1033

EP - 1043

JO - Acta Meteorological Sinica (English Edition)

JF - Acta Meteorological Sinica (English Edition)

SN - 2095-6037

IS - 6

ER -

Spatial and temporal variability of snow depth derived from passive microwave remote sensing data in Kazakhstan

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Cite this