基于MODIS数据的东北地区积雪时空变化
Spatial and Temporal Change in Snow Cover Properties in Northeast China Based on MODIS Data
摘要: 积雪是冰冻圈重要组成部分,冰冻圈各要素的时空变化能够对气候、水文、生物和经济发展产生重要影响。因而,研究和掌握冰冻圈各要素的时空变化规律可以更好地评价气候变化影响、促进区域经济发展和改善人民生产生活。遥感数据可以获取地表冻融状况和积雪覆盖状况,为研究提供了很好的数据基础。因此,本文基于MODIS积雪数据产品构建并分析了东北三省的积雪时长和无积雪冻结日数百分比的时空变化规律,并揭示了冬季温度和降水的关系。结果表明:1) 东北三省地区西北部、东北部以及西南部积雪天数有显著减少的趋势,其他大部分地区积雪时长变化都不明显;2) 中北部和东部有部分地区无积雪日数百分比呈减少趋势,西南部呈显著增加的趋势。冬季温度对积雪变化的具有重要影响。
Abstract: Snow cover is an important part of the cryosphere. The temporal and spatial changes of various elements of the cryosphere have a great impact on climate, hydrology, biology and economic development. Therefore, understanding the temporal and spatial variations in the elements of the cryosphere can better evaluate the impact of climate change, promote regional economic development, and improve people’s production and life. Remote sensing data can obtain surface freezing and thawing conditions and snow cover conditions, providing a good data basis for research. Therefore, based on the MODIS snow cover data product, this paper analyzes the temporal and spatial variation of the snow cover duration and the percentage of snow-free freezing days in the three northeastern provinces of China, and reveals the relationship between winter temperature and precipitation. The results show that: 1) Snow cover duration in the northwest, northeast and southwest of the study area has a significant decreasing trend, and most other areas have no significant changes in snow cover duration; 2) Some areas in the north-central and eastern parts of the country have no snow accumulation. The percentage of snow-free freezing days showed a decreasing trend, with a significant increase in the Southwest. Winter temperature has a great influence on the change of snow cover.
文章引用:王亚茹, 韩瑜佳, 杨盛娜, 张云娜, 郑文宣, 孔超. 基于MODIS数据的东北地区积雪时空变化[J]. 地理科学研究, 2022, 11(3): 272-278. https://doi.org/10.12677/GSER.2022.113028

参考文献

[1] 徐士琦, 傅帅, 张小泉, 等. 1961-2016年吉林省积雪增量与积雪日数时空变化特征[J]. 气象与环境学报, 2018, 34(2): 44-51.
[2] 严晓瑜, 赵春雨, 任国玉, 等. 1962-2008年辽宁省积雪变化特征[J]. 气象与环境学报, 2012, 28(2): 34-39.
[3] 刘晓娇, 陈仁升, 刘俊峰, 等. 黄河源区积雪变化特征及其对春季径流的影响[J]. 高原气象, 2020, 39(2): 226-233.
[4] 唐川川, 王根绪, 张莉, 等. 青藏高原高寒沼泽化草甸群落生物量及地下CNP对积雪增加的响应[J]. 冰川冻土, 2021, 43(2): 618-627.
[5] 叶红, 易桂花, 张廷斌, 等. 2000-2019年青藏高原积雪时空变化[J]. 资源科学, 2020, 42(12): 2434-2450.
[6] 王春学, 李栋梁. 中国近50a积雪日数与最大积雪深度的时空变化规律[J]. 冰川冻土, 2012, 34(2): 247-256.
[7] 王慧, 王胜利, 余行杰, 等. 1961-2017年基于地面观测的新疆积雪时空变化研究[J]. 冰川冻土, 2020, 42(1): 72-80.
[8] 张晓闻, 臧淑英, 孙丽. 近40年东北地区积雪日数时空变化特征及其与气候要素的关系[J]. 地球科学进展, 2018, 33(9): 958-968.
[9] Pauli, J.N., Zuckerberg, Whiteman, J.P. and Porter, W. (2013) The Subnivium: A Deteriorating Seasonal Refugium. Frontiers in Ecology and the Environment, 11, 260-267. [Google Scholar] [CrossRef
[10] Williams, C.M., Henry, H.A.L. and Sinclair, B.J. (2015) Cold Truths: How Winter Drives Responses of Terrestrial Organisms to Climate Change. Biological Reviews, 90, 214-235. [Google Scholar] [CrossRef] [PubMed]
[11] Slatyer, R.A., Umbers, K.D.L. and Arnold, P.A. (2022) Ecological Responses to Variation in Seasonal Snow Cover. Conservation Biology, 36, e13727. [Google Scholar] [CrossRef] [PubMed]
[12] Zhu, L.K., Radeloff, V.C. and Ives, A.R. (2017) Characterizing Global Patterns of Frozen Ground with and without Snow Cover Using Microwave and MODIS Satellite Data Products. Remote Sensing of Environment, 191, 168-178. [Google Scholar] [CrossRef
[13] Qi, W., Feng, L., Yang, H. and Liu, J.G. (2022) Warming Winter, Drying Spring and Shifting Hydrological Regimes in Northeast China under Climate Change. Journal of Hydrology, 606, Article ID: 127390. [Google Scholar] [CrossRef
[14] Zhu, L.K. and Guo, Y.Y. (2022) Remotely Sensed Winter Habitat Indices Improvethe Explanation of Broad-Scale Patterns of Mammaland Bird Species Richness in China. Remote Sensing, 14, Article No. 794. [Google Scholar] [CrossRef
[15] 杨林, 马秀枝, 李长生, 等. 积雪时空变化规律及其影响因素研究进展[J]. 西北林学院学报, 2019, 34(6): 96-102.
[16] 杨倩, 陈圣波, 路鹏, 等. 2000~2010年吉林省积雪时空变化特征及其与气候的关系[J]. 遥感技术与应用, 2012, 27(3): 413-419.