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Collating Historic Weather Observations for the East Asian Region: Challenges, Solutions, and Reanalyses
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作者 Fiona WILLIAMSON Rob ALLAN +7 位作者 Guoyu REN Tsz-cheung LEE Wing-hong LUI Hisayuki KUBOTA Jun MATSUMOTO Jurg LUTERBACHER Clive WILKINSON Kevin WOOD 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 2018年第8期3-8,共6页
1. IntroductionHistoric instrumental weather observations, made on land or at sea from as early as the 17th century (e.g.,Camuffo et al.,2010),are integral to extending our understanding of the decadal and centennia... 1. IntroductionHistoric instrumental weather observations, made on land or at sea from as early as the 17th century (e.g.,Camuffo et al.,2010),are integral to extending our understanding of the decadal and centennial variations of Earth's climate and for comparison with paleo-proxy data. 展开更多
关键词 Collating Historic weather observations for the East Asian Region:Challenges SOLUTIONS and Reanalyses
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FIRST TIBETAN WEATHER OBSERVER VISITS THE SOUTH POLE
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作者 WANG YUANHONG 《China's Tibet》 2001年第5期36-38,共3页
关键词 FIRST TIBETAN weather OBSERVER VISITS THE SOUTH POLE
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Comparison and analysis of snow cover data based on dif-ferent definitions of snow cover days 被引量:1
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作者 Di An DongLiang Li Yun Yuan 《Research in Cold and Arid Regions》 2011年第1期51-60,共10页
In order to analyze the differences between the two snow cover data, the snow cover data of 884 meteorological stations in China from 1951 to 2005 are counted. The data include days of visual snow observation, snow de... In order to analyze the differences between the two snow cover data, the snow cover data of 884 meteorological stations in China from 1951 to 2005 are counted. The data include days of visual snow observation, snow depth, and snow cover durations, which vary according to different definitions of snow cover days. Two series of data, as defined by "snow depth" and by "weather obser- vation," are investigated here. Our results show that there is no apparent difference between them in east China and the Xinjiang region, but in northeast China and the Tibetan Plateau the "weather observation" data vary by more than 10 days and the "snow depth" data vary by 0.4 cm. Especially in the Tibetan Plateau, there are at least 15 more days of"weather observation" snow in most areas (sometimes more than 30 days). There is an obvious difference in the snow cover data due to bimodal snowfall data in the Tibetan Plateau, which has peak snowfalls from September to October and from .April to May. At those times the temperature is too high for snow cover fol:mation mad only a few days have trace snow cover. Also, the characteristics and changing trends of snow cover are analyzed here based on the snow cover data of nine weather stations iri the northeast region of the Tibetan Plateau, by the Mann-KendaU test. The results show significantly fewer days of snow cover and shorter snow dtwations as defined by "snow depth" compared to that as defined by "weather observation." Mann-Kendall tests of both series of snow cover durations show an abrupt change in 1987. 展开更多
关键词 weather observation days of snow cover depth of snow durations
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CRESDA Successfully Processed the First Track Data of GF-3
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作者 China Center For Resources Satellite Data and Application 《Aerospace China》 2016年第3期51-53,共3页
The first images obtained from Gaofen-3(GF-3),China’s first C-band high-resolution Synthetic Aperture Radar(SAR)satellite with a resolution of one meter in spatial diameter were published on August 25.This satell... The first images obtained from Gaofen-3(GF-3),China’s first C-band high-resolution Synthetic Aperture Radar(SAR)satellite with a resolution of one meter in spatial diameter were published on August 25.This satellite undertakes an important task with its all-day,all-weather observation capability as part of the China High-resolution Earth Observation System(CHEOS).With 12 imaging modes, 展开更多
关键词 weather observation picture Figure covering minutes processed launch completed texture
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