Variability in snow cover phenology in China from 1952 to 2010

Cao, Ke; Li, Xiu Cang; Xie, Hongjie; Hui, Dong; Liu, Xun; Kou, Cheng

doi:10.5194/hess-20-755-2016

Cited by 60 publications

(45 citation statements)

References 48 publications

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“…Our study showed that over the past 14 years, the SCDs and SD decreased primarily in the hinterlands of the Tibetan Plateau, and increased in the southwest and southeast margins of the Tibetan Plateau. Studies based on long time series of observations by ground stations have indicated that the number of SCDs and the SD in northeast China increased every year (Chen and Li, 2011;Yan et al, 2015;Ke et al, 2016), which is consistent with our results for northeast China over the past 14 years.…”

Section: Discussionsupporting

confidence: 91%

Spatiotemporal dynamics of snow cover based on multi-source remote sensing data in China

et al. 2016

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Abstract. By combining optical remote sensing snow cover products with passive microwave remote sensing snow depth (SD) data, we produced a MODIS (Moderate Resolution Imaging Spectroradiometer) cloudless binary snow cover product and a 500 m snow depth product. The temporal and spatial variations of snow cover from December 2000 to November 2014 in China were analyzed. The results indicate that, over the past 14 years, (1) the mean snow-covered area (SCA) in China was 11.3 % annually and 27 % in the winter season, with the mean SCA decreasing in summer and winter seasons, increasing in spring and fall seasons, and not much change annually; (2) the snow-covered days (SCDs) showed an increase in winter, spring, and fall, and annually, whereas they showed a decrease in summer; (3) the average SD decreased in winter, summer, and fall, while it increased in spring and annually; (4) the spatial distributions of SD and SCD were highly correlated seasonally and annually; and (5) the regional differences in the variation of snow cover in China were significant. Overall, the SCD and SD increased significantly in south and northeast China, and decreased significantly in the north of Xinjiang province. The SCD and SD increased on the southwest edge and in the southeast part of the Tibetan Plateau, whereas it decreased in the north and northwest regions.

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Section: Discussionsupporting

confidence: 91%

Spatiotemporal dynamics of snow cover based on multi-source remote sensing data in China

et al. 2016

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“…This result is similar to the results obtained by Huang et al (2017), who used MODIS daily snow cover products from 2001 to 2014. Ke et al (2016) found 370 that from 1952 to 2010, the overall snow phenology in China showed a delay in the SOD and advancement of the SED. This result is similar to the results of our study.…”

Section: Discussionmentioning

confidence: 98%

“…China's annual mean snow covered area accounts for 27% of the country's total area in the winter (Huang et al, 2016). Ke et al (2016) found that a delayed snow onset date (SOD) and 60 advanced snow end date (SED) are common in China during the period of 1952 to 2010. There are three snow cover areas in China: Northeast China, northern Xinjiang and the Tibetan Plateau (Liu et al, 2014).…”

mentioning

confidence: 99%

Snow cover variations across China from 1952–2012

Huang

Liu

Wang

et al. 2019

Preprint

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Abstract. Based on a snow depth (SD) dataset retrieved from meteorological stations, this experiment explored snow indices including SD, snow covered days (SCDs), and snow phenology variations in China from 1952 to 2012. The results indicated that the snow in China exhibits regional differences, and the snow cover is mainly concentrated in three snow cover areas in Northeast China, northern Xinjiang and the Tibetan Plateau. In China, the annual average SD showed an increasing trend, and the increases in the average snow depth (SDaverage), cumulative snow depth (SDoverall) and maximum snow depth (SDmax) reached 0.04 cm, 0.05 cm and 0.07 cm per decade, respectively. The significant increases were mainly concentrated in areas higher than 40° N latitude, especially in Northeast China. The SDaverage, SDoveralland SDmax jump points are mainly in 1956, 1957, 1978, and 1987. In the first main period, the SDoverall oscillation in China is relatively stable, and its average period is approximately 13 years. The SCDs showed an increasing trend, with an increase of 0.5 days per decade. The significant increases in SCDs were also concentrated in areas higher than 40° N latitude, especially in Northeast China.However, in the Tibetan Plateau, the decrease in the SCDs reached 0.1 days per decade. In snow phenology, the snow duration days (SDDs) of China decreased, and 17.4 % of the meteorological stations showed significant decreasing trends. This result is mainly caused by the postponement of the snow onset date (SOD) and the advancement of the snow end date (SED). Geographical factors, including latitude, longitude and altitude, affect snow cover distribution directly and indirectly. The squared multiple correlations of SDDs and SCDs are greater than 0.9. Among the effects of SDDs and SCDs, the largest standardized total effect is from altitude on the SDDs, and the effect reaches 0.8.

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“…(2) Onset date of snow cover accumulation (SCOD): the start dates (Julian day) of the stable snow cover duration in a hydrological year [49,50]. It is defined as the first day when snow cover is initially observed to exist for at least five consecutive days; (3) End date of snow cover (SCED): the ending date (Julian day) of the snow cover.…”

Section: The Relationship Between Winter Snow Cover Climate and Vegmentioning

confidence: 99%

Relationship between Winter Snow Cover Dynamics, Climate and Spring Grassland Vegetation Phenology in Inner Mongolia, China

Qiao

Wang

2019

IJGI

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The onset date of spring phenology (SOS) is regarded as a key parameter for understanding and modeling vegetation–climate interactions. Inner Mongolia has a typical temperate grassland vegetation ecosystem, and has a rich snow cover during winter. Due to climate change, the winter snow cover has undergone significant changes that will inevitably affect the vegetation growth. Therefore, improving our ability to accurately describe the responses of spring grassland vegetation phenology to winter snow cover dynamics would enhance our understanding of changes in terrestrial ecosystems due to their responses to climate changes. In this study, we quantified the spatial-temporal change of SOS by using the Advanced Very High Resolution Radiometer (AVHRR) derived Normalized Difference Vegetation Index (NDVI) from 1982 to 2015, and explored the relationships between winter snow cover, climate, and SOS across different grassland vegetation types. The results showed that the SOS advanced significantly at a rate of 0.3 days/year. Winter snow cover dynamics presented a significant positive correlation with the SOS, except for the start date of snow cover. Moreover, the relationship with the increasing temperature and precipitation showed a significant negative correlation, except that increasing Tmax (maximum air temperature) and Tavg (average air temperature) would lead a delay in SOS for desert steppe ecosystems. Sunshine hours and relative humidity showed a weaker correlation.

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Variability in snow cover phenology in China from 1952 to 2010

Cited by 60 publications

References 48 publications

Spatiotemporal dynamics of snow cover based on multi-source remote sensing data in China

Spatiotemporal dynamics of snow cover based on multi-source remote sensing data in China

Snow cover variations across China from 1952–2012

Relationship between Winter Snow Cover Dynamics, Climate and Spring Grassland Vegetation Phenology in Inner Mongolia, China

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