被动微波遥感反演雪深与气象站观测雪深时空对比

王静; 车涛; 戴礼云; 岳珊娜; 郑照军

doi:10.11834/jrs.20221653

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被动微波遥感反演雪深与气象站观测雪深时空对比
Spatio-temporal comparison of snow depth between passive microwave remote sensing inversion data and meteorological station observation data
2023年27卷第9期页码：2060-2071
DOI： 10.11834/jrs.20221653

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王静, 车涛, 戴礼云, 等. 被动微波遥感反演雪深与气象站观测雪深时空对比[J]. 遥感学报, 2023,27(9):2060-2071.

WANG Jing, CHE Tao, DAI Liyun, et al. Spatio-temporal comparison of snow depth between passive microwave remote sensing inversion data and meteorological station observation data[J]. National Remote Sensing Bulletin, 2023,27(9):2060-2071.
王静, 车涛, 戴礼云, 等. 被动微波遥感反演雪深与气象站观测雪深时空对比[J]. 遥感学报, 2023,27(9):2060-2071. DOI： 10.11834/jrs.20221653.

WANG Jing, CHE Tao, DAI Liyun, et al. Spatio-temporal comparison of snow depth between passive microwave remote sensing inversion data and meteorological station observation data[J]. National Remote Sensing Bulletin, 2023,27(9):2060-2071. DOI： 10.11834/jrs.20221653.

摘要

雪深是积雪重要的物理属性之一，准确的获取雪深对积雪水文与水资源、气候变化、雪灾等研究至关重要。目前，广泛用于长时间序列雪深研究的是气象站观测雪深数据和被动微波遥感（如SMMR、SSM/I和SSMI/S）反演雪深数据。本文对这两种数据的雪深最大值和平均值在中国地区的空间分布、年际变化进行对比，分析两种数据的分布特征。结果表明：空间上，站点观测雪深与站点对应遥感像元雪深在东北地区相关性最好，新疆地区次之，青藏高原地区相关性较差。两种雪深在稳定积雪区分布较为一致，在大于40 cm的深雪区和雪深小于5 cm的南方地区站点观测雪深的最大值明显高于遥感反演雪深的最大值。时间上，相比于1980年—2019年这一时间段，1989年—2019年站点雪深与遥感雪深在各典型积雪区的相关性明显提高。进而对比近30 a中国地区两种雪深的变化，结果显示两种数据在青藏高原东南部雪深有一致的显著（,p,<,0.05）减少趋势，在东北平原地区雪深有一致的显著（,p,<,0.05）增加趋势。分布在青藏高原地区的气象站大多选址在海拔较低的地方，不能很好的反映对应微波遥感像元中高海拔地区及山区内雪深的平均分布和变化情况，而被动微波遥感雪深反演受积雪特性变化的影响，对短时间内雪深变化较大的极端降雪事件不敏感。

Abstract

Snow depth is one of the most important physical properties of snow, and the accurate estimation of snow depth is critical to human production and life, such as water resource management, climate change research, disaster early warning, and management. At present, snow depth data observed by meteorological stations and retrieved by passive microwave remote sensing (SMMR, SSM/I, and SSMI/S) have been widely used for long time series snow depth research. To clarify the advantages and disadvantages of these data in the study of snow depth change, this paper compares the spatial distribution and interannual variation of the maximum snow depth and mean snow depth of these in China. Results show the distribution of the two types of snow depth is consistent in the stable snow cover areas, but the maximum snow depth observed by metrological stations is remarkably greater than the maximum retrieved by remote sensing in the deep snow area of more than 40 cm and the snow depth of less than 5 cm in southern China. The correlation between the two snow depth data is the best in northeast China, the second in Xinjiang, and the worst in the Qinghai-Tibet Plateau. Using the passive microwave snow depth data after 1988 is more suitable to study the snow depth changes in China because the SMMR sensor (1978.10.26—1987.8.20) has low time resolution and serious data loss in the middle and low latitudes, resulting in poor quality of the corresponding snow depth data. Furthermore, comparing the changes of the two types of snow depth in China in recent 30 years, the results show the changes of those are the same in different regions, with a substantial increase in the northeast Plain and a considerable decrease in the western and southeastern parts of the Qinghai–Tibet Plateau. Meteorological stations, influenced by their site selection, cannot reflect the high-altitude snow depth and mountain district time distribution and the change of situation. However, the snow depth retrieved by passive microwave remote sensing is affected by snow thickness, seasonal variation of snow density, liquid-water content of snowpacks, snow grain size, and other factors. Therefore, it cannot reflect the extreme snowfall events with rapid changes of snow attribute in a short time.

关键词

雪深气象站点被动微波遥感典型积雪区对比分析

Keywords

snow depthmeteorological stationspassive microwave remote sensingtypical snow areascomparative analysis

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