Tropical Cyclone Induced Precipitation over Japan Using Observational Data

Tropical Cyclone Induced Precipitation over Japan Using Observational Data
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使用观测数据热带气旋在日本引发降水

DOI:
10.2151/sola.2018-029
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发表时间:
2018
期刊:
影响因子:
1.9
通讯作者:
O. Arakawa
O. Arakawa
中科院分区:
地球科学4区
文献类型:
--
作者:
H. Kamahori;O. Arakawa

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利用APHRO_JP雨量计观测资料,对日本热带气旋(TC)降水进行了分析。TC影响的频率在南西群岛达到最大值,并随纬度单调下降。另一方面,TCP的分布表现出与TC影响频率不同的特征。最大的年TCP,500毫米以上,出现在东九州(东九州),四国南部(S-Shikoku),和东纪伊半岛(E-Kii),在那里它占总降水量的15%或更多。这三个地区的最大日TCP量为200 mm d,它们都位于日本的东侧,对应于向东或东南的地形倾斜。年TCP量与地形坡度有显著的相关性,TCP量主要集中在向东或东南方向的坡度上。还评估了每50年一次的极端日TCP。极端的每日TCP估计为500毫米d的气候年度TCP在东九州,四国,和E-Kii。就TCP而言,这三个区域似乎是日本最危险的部分。(引用:Kamahori,H.,和O.荒川,2018年:使用观测数据在日本上空产生的热带气旋降水。SOLA,14,165−169,doi:10.2151/sola.2018-029.)
Tropical cyclone (TC) induced precipitation (TCP) over Japan is evaluated with the rain gauge observation based gridded dataset APHRO_JP. The TC–influenced frequency reaches a maximum in the Nansei Islands and decreases monotonically with latitude. On the other hand, the distribution of TCP indicates different characteristics from the one of TC–influenced frequency. The largest annual TCP, 500 mm yr or more, occurs over eastern Kyushu (E-Kyushu), southern Shikoku (S-Shikoku), and the eastern Kii peninsula (E-Kii), where it accounts for 15% or more of the total precipitation. The maximum daily TCP amounts to 200 mm d in those three areas, which are all located on the eastern side of Japan and correspond to eastward or southeastward topographic inclines. A significant relationship is found between the amount of annual TCP and topographic incline, and the large amount of TCP concentrates in the eastward or the southeastward inclines. The extreme daily TCP once every 50 years is also evaluated. The extreme daily TCP is estimated to be 500 mm d comparable to the climatological annual TCP in E-Kyushu, S-Shikoku, and E-Kii. These three areas appear to be the most hazardous part of Japan in terms of TCP. (Citation: Kamahori, H., and O. Arakawa, 2018: Tropical cyclone induced precipitation over Japan using observational data. SOLA, 14, 165−169, doi:10.2151/sola.2018-029.)
DOI: 10.2151/sola.2012-011
发表时间: 2011-11
期刊: Sola
影响因子: 1.9
作者:
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通讯作者: H. A. Nguyen-Thi;J. Matsumoto;T. Ngo‐Duc;N. Endo
DOI: 10.1175/bams-d-11-00122.1
发表时间: 2012-09-01
影响因子: 8
作者:
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DOI: 10.1175/2009jcli2646.1
发表时间: 2009-10-15
期刊: JOURNAL OF CLIMATE
影响因子: 4.9
作者:
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通讯作者: Wang, Bin