Temporal and Spatial Changes in Snow Cover and the Corresponding Radiative Forcing Analysis in Siberia from the 1970s to the 2010s

Yu, Lingxue; Liu, Tingxiang; Zhang, Shuwen

doi:10.1155/2017/9517427

Cited by 16 publications

(11 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…IMS has been primarily used in snow cover applications (e.g. Brubaker et al 2005;Chen et al 2012;Yu et al 2017), as the daily temporal resolution and ability to penetrate cloud cover provide improved monitoring capabilities over visible imagery (e.g. MODIS Snow Cover product).…”

Section: Introductionmentioning

confidence: 99%

Sea ice and snow phenology in the Canadian Arctic Archipelago from 1997 to 2018

Dauginis

Brown

2021

Arctic Science

View full text Add to dashboard Cite

The multiple islands and narrow channels that form the Canadian Arctic Archipelago (CAA) complicate snow/ice monitoring, as coarse resolution satellite observations are unable to resolve smaller-scale changes in snow/ice cover. We present the first study showing the utility of the Interactive Multisensor Snow and Ice Mapping System (IMS) 24 km (1997–2018) and 4 km (2004–2018) products to investigate changes in sea ice and snow phenology together in the CAA. While ice break-up and snow retreat are shifting earlier (p>0.05), on par with other Arctic regions, the final summer clearing of ice is shifting later. This, combined with trends towards earlier ice freeze and snow fall (p<0.05), result in shorter open water and snow free seasons in the CAA. Spatial links between sea ice and snow are evident as significant clusters of trends were identified for all phenology parameters. The western regions were dominated by shifts toward shorter snow/ice seasons, while eastern regions tended to exhibit longer cover. Our research highlights the considerable regional and interannual variability in the timing of sea ice and snow advance/retreat within the CAA and emphasizes how the ice and snow dynamics in this complex region are responding to ongoing changing climate conditions.

show abstract

Section: Introductionmentioning

confidence: 99%

Sea ice and snow phenology in the Canadian Arctic Archipelago from 1997 to 2018

Dauginis

Brown

2021

Arctic Science

View full text Add to dashboard Cite

show abstract

“…Snow cover is one of the most critical land surface parameters in global energy, the water cycle, and the development of the atmospheric boundary layer [1,2]. Thermodynamic properties and radiation characteristics of snow cover can modulate the land-atmosphere interaction, ecosystem functions, and the biological factors at various scales [3][4][5]. Snow cover controls the global and regional climate and releases fresh water in the hydrological cycle [6].…”

Section: Introductionmentioning

confidence: 99%

A Response of Snow Cover to the Climate in the Northwest Himalaya (NWH) Using Satellite Products

2021

View full text Add to dashboard Cite

The Himalayan region is one of the most crucial mountain systems across the globe, which has significant importance in terms of the largest depository of snow and glaciers for fresh water supply, river runoff, hydropower, rich biodiversity, climate, and many more socioeconomic developments. This region directly or indirectly affects millions of lives and their livelihoods but has been considered one of the most climatically sensitive parts of the world. This study investigates the spatiotemporal variation in maximum extent of snow cover area (SCA) and its response to temperature, precipitation, and elevation over the northwest Himalaya (NWH) during 2000–2019. The analysis uses Moderate Resolution Imaging Spectroradiometer (MODIS)/Terra 8-day composite snow Cover product (MOD10A2), MODIS/Terra/V6 daily land surface temperature product (MOD11A1), Climate Hazards Infrared Precipitation with Station data (CHIRPS) precipitation product, and Shuttle Radar Topography Mission (SRTM) DEM product for the investigation. Modified Mann-Kendall (mMK) test and Spearman’s correlation methods were employed to examine the trends and the interrelationships between SCA and climatic parameters. Results indicate a significant increasing trend in annual mean SCA (663.88 km2/year) between 2000 and 2019. The seasonal and monthly analyses were also carried out for the study region. The Zone-wise analysis showed that the lower Himalaya (184.5 km2/year) and the middle Himalaya (232.1 km2/year) revealed significant increasing mean annual SCA trends. In contrast, the upper Himalaya showed no trend during the study period over the NWH region. Statistically significant negative correlation (−0.81) was observed between annual SCA and temperature, whereas a nonsignificant positive correlation (0.47) existed between annual SCA and precipitation in the past 20 years. It was also noticed that the SCA variability over the past 20 years has mainly been driven by temperature, whereas the influence of precipitation has been limited. A decline in average annual temperature (−0.039 °C/year) and a rise in precipitation (24.56 mm/year) was detected over the region. The results indicate that climate plays a vital role in controlling the SCA over the NWH region. The maximum and minimum snow cover frequency (SCF) was observed during the winter (74.42%) and monsoon (46.01%) season, respectively, while the average SCF was recorded to be 59.11% during the study period. Of the SCA, 54.81% had a SCF above 60% and could be considered as the perennial snow. The elevation-based analysis showed that 84% of the upper Himalaya (UH) experienced perennial snow, while the seasonal snow mostly dominated over the lower Himalaya (LH) and the middle Himalaya (MH).

show abstract

“…Further, from trends analysis, it is seen that most of the Siberian snow exhibits decreasing trends (as large as −5 cm/decade), except some isolated pockets where increasing trends (1–2 cm/decade) are noticed (Figure 1c). This decreasing snow depth may be related to global warming, and has been discussed extensively in recent literature (Liu & Yanai, 2002; Yu et al., 2017). Our additional analysis indicates that since 2010, northern Siberian snow has shown insignificant but positive trends.…”

Section: Data Sets and Methodologymentioning

confidence: 86%

The Strengthening Association Between Siberian Snow and Indian Summer Monsoon Rainfall

2021

View full text Add to dashboard Cite

ERA5 reanalysis data shows significant correlation between Siberian snow depth in March and following Indian summer monsoon rainfall (ISMR). Whilst the Siberian snow depth is negatively correlated with seasonal monsoon rainfall over most of India, it is positively correlated with the monsoon rain over north‐east Indian regions. This relationship has significantly strengthened during the past 2 decades. We show that the strengthening relationship is more likely related to recent atmospheric circulation changes owing to persistent global warming, particularly the changes in the atmospheric circulation over the North Atlantic. There are indications that during 1999–2018, the extratropical climatic variability (e.g., Arctic Oscillation [AO] and North Atlantic Oscillation [NAO]) significantly influenced Siberian snow in the month of March. In contrast, during the period 1979–1998, the influence of NAO and AO on Siberian snow was negligible. Analysis indicates that Siberian High, a dominant atmospheric circulation system that exerts strong influence on Eurasian weather and climate, has also significantly weakened during the past 2 decades. We hypothesize that the March Siberian snow influences the ISMR through a delayed hydrological response, in which the increased (reduced) accumulated snow during springtime provides wetter (drier) soil during the following summer. This leads to the alternation of the meridional tropospheric temperature gradient. The heavy (less) spring snowfall in north (south) Siberia led to changes in summertime meridional tropospheric temperature gradient, which resulted in the weakening of subtropical westerly jet and Tibetan anticyclone. The reduced intensity of tropical easterly jet connected to Tibetan anticyclone resulted in the weakening of summer monsoon Hadley cell, leading to subsequent suppression of rainfall. This association between Siberian snow and ISMR provides seasonal prediction potential.

show abstract

Temporal and Spatial Changes in Snow Cover and the Corresponding Radiative Forcing Analysis in Siberia from the 1970s to the 2010s

Cited by 16 publications

References 40 publications

Sea ice and snow phenology in the Canadian Arctic Archipelago from 1997 to 2018

Sea ice and snow phenology in the Canadian Arctic Archipelago from 1997 to 2018

A Response of Snow Cover to the Climate in the Northwest Himalaya (NWH) Using Satellite Products

The Strengthening Association Between Siberian Snow and Indian Summer Monsoon Rainfall

Contact Info

Product

Resources

About