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科技导报
|论文
2004
, 22
(0407) :
17
-21
我国动力气候模式预测系统的研制及应用
全屏
张培群, 李清泉, 王兰宁, 刘益民, 史学丽, 吴统文
作者信息
DEVELOPMENT AND APPLICATION OF DYNAMIC CLIMATE MODEL PREDICTION SYSTEM IN CHINA
ZHANG Pei-qun, LI Qing-quan, WANG Lan-ning, LIU Yi-min, SHI Xue-li, WU Tong-wen
Affiliations
National Climate Center,CMA,Beijing100081,China
出版时间: 2004-07-10
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动力气候模式是目前国际上开展气候预测的主要工具。经过8年多的研制和发展,国家气候中心已建立起第一代动力气候模式预测业务系统,并以此为平台,形成了一套包括月、季节到年际时间尺度的模式预测业务。20年历史回报试验和1年多的试验性业务运行结果表明,该系统对东亚区域的季节预测具有较好的预测能力,其预测结果已经成为我国短期气候预测业务的重要参考信息。
动力气候模式
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短期气候预测
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预测系统
/
海洋资料同化
Dynamical climate model is a dominating tool for climate prediction in the world at present.After more than8year’s researching and developing,the first generation of dynamical climate model prediction operation system has been established in National Climate Center(NCC),Chinese Meteorological Administration.And on the basis of this system,a series of short term climate prediction produced by dynamical climate model at timescale of monthly,seasonal and interannual has been launched into operation.It is shown by the results from20-year-hindcasting experiments and experimental routine operation of short term climate prediction since last spring that this system has the reasonable capability of seasonal prediction in East Asia and its products has been becoming an important reference in the NCC’ operation of short term climate prediction.
dynamical climate model
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short term climate prediction
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prediction system
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ocean data assimilation
张培群;李清泉;王兰宁;刘益民;史学丽;吴统文.
我国动力气候模式预测系统的研制及应用.
科技导报,
2004
, 22
(0407)
: 17
-21
.
ZHANG Pei-qun;LI Qing-quan;WANG Lan-ning;LIU Yi-min;SHI Xue-li;WU Tong-wen.
DEVELOPMENT AND APPLICATION OF DYNAMIC CLIMATE MODEL PREDICTION SYSTEM IN CHINA[J].
Science & Technology Review ,
2004
, 22
(0407)
: 17
-21
.
2004年第22卷第0407期
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文章信息
接收时间:1900-01-01
首发时间:2004-07-10
出版时间:2004-07-10
收稿日期:1900-01-01
修回日期:1900-01-01
https://castjournals.cast.org.cn/joweb/kjdb/CN/1242118739261456577
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2种不同金属材料的力学参数
科 Family 属数 Number of genus 种数 Number of species 占总种数比例 Percentage of total species (%) 属 Genus 种数 Number of species 占总种数比例 Percentage of total species (%) 鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78 小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39 多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39 红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87 小菇属 Mycena 11 5.26 光柄菇属 Pluteus 5 2.39 红菇属 Russula 17 8.13 栓菌属 Trametes 5 2.39
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