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Long Term Analyses on Spatial and Temporal Evaluation of Snow Covers in Northern China by Using RS and Meteorological data

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Bi, X.M., &Zhang, W.C. (2008). Long Term Analyses on Spatial and Temporal Evaluation of Snow Covers in Northern China by Using RS and Meteorological data. International Workshop on Education Technology and Training & International Workshop on Geoscience and Remote Sensing, 2, 368-371.

文献信息
Type Of Reference CONF
Title Long Term Analyses on Spatial and Temporal Evaluation of Snow Covers in Northern China by Using RS and Meteorological data
Authors Wanchang, Zhang
Secondary Title International Workshop on Education Technology and Training, 2008. and 2008 International Workshop on Geoscience and Remote Sensing. ETT and GRS 2008
Abstract Piling and melting of snow cover is a dynamic process which has important effect on the radiation balance, and water circulation over the land surface. Accurate information on snow depth is essential for the study of hydrology and climatology. However, it is almost impossible to obtain any long-term and annual variability characteristics of snow covers by means of conventional field observations. Passive microwave remote sensing has the advantage to penetrate the cloud, and its all-weather capability for snow cover monitoring makes it superior to the optical sensor and near-infrared remote sensing techniques. By means of daily snow cover monitoring data derived from SMMR and SSM/I during the period from 1979 to 2005, snow depth and snow cover days over the northern China were quantitatively analyzed. Spatio-temporal variations of snow covers were evaluated in terms of spatial-temporal distribution and the significant level by the Mann-Kendall rank statistical test. The results suggested that the snow-cover periods became notably shorten and the snow depth turned to decrease obviously with the significant level of alpha<0.01 in the desert of northwest arid region under the significant warming trend. In contrast, the snow depth tended to increase notably with the significant level of alpha<0.001 in the northwest alpine region and Xiaoxing'an Mountain, where the climate tended to be much warm and humid at the same period.
Date 2008///
Year 2008
DOI 10.1109/ETTandGRS.2008.123
Database Provider IEEE Xplore
volume 2
Start Page 368
Keywords Bismuth| Clouds| Educational technology| Geoscience and remote sensing| Mann-Kendall rank statistical test| meteorological data| Meteorology| Northern China| Optical sensors| passive microwave radar| passive microwave remote sensing| passive radar| radiation balance| Remote monitoring| remote sensing by radar| RS data| Snow| snow cover| snow cover monitoring| Snow depth| spatial evaluation| spatio-temporal evolution| statistical testing| temporal evaluation| Testing| water circulation|
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