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Correlations of snow depth retrieved from SSM/I with precipitation and temperature over China

  • Wei Gao*
  • , Qifeng Lu
  • , Zhiqiang Gao
  • , Wanli Wu
  • , Bingyu Du
  • , James Slusser
  • *此作品的通讯作者
  • Colorado State University
  • Research for Sustainable Development in Arid and Semi-Arid Lands
  • China Meteorological Administration
  • CAS - Institute of Geographical Sciences and Natural Resources Research
  • National Center for Atmospheric Research
  • Nanjing University of Information Science & Technology

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Climatological data during the period 1978-2005 in China were analyzed to characterize the relationships between temperature, precipitation (rainfall and snow), and snow as well as their temporal variations. Data at forty-two observation sites among 160 sites are chosen for the analysis. The China domain is broadly divided into northeastern, northwestern, and Tibet regions. The results show that the evolution of snow depth and area is in good agreement with that from previous studies using different datasets. An abrupt jump occurred in the year 1990. Oscillations with a wavelength of about five years can be identified in the time sequence. Significant correlations between snow depths, snow covers, temperatures, and precipitation are found for various time frames at different sites. The cold air mass comes from the northwestern and northeastern China and moves into the southern China through an aisle between them. This cold air transportation brings the influence of snow information on the temperature and precipitation into the southern China. In the sensitive region, the snow information in the three regions has strong effects on the temperature and precipitation. The actual effect of snow information on temperature and precipitation is the result of competition among these three snow covered regions. The snow information in the Tibet region has a larger scale effect on the temperature and precipitation than in the other two regions. This is in accordance with its characteristics that are able to inspire the larger scale atmospheric circulations.

源语言英语
主期刊名Remote Sensing and Modeling of Ecosystems for Sustainability IV
DOI
出版状态已出版 - 2007
已对外发布
活动Remote Sensing and Modeling of Ecosystems for Sustainability IV - San Diego, CA, 美国
期限: 28 8月 200729 8月 2007

出版系列

姓名Proceedings of SPIE - The International Society for Optical Engineering
6679
ISSN(印刷版)0277-786X

会议

会议Remote Sensing and Modeling of Ecosystems for Sustainability IV
国家/地区美国
San Diego, CA
时期28/08/0729/08/07

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