基于雨量计的高分辨率格点降水数据与TRMM卫星 反演降水数据在亚洲区域的比较*

南京大学学报(自然科学版) ›› 2013, Vol. 49 ›› Issue (3): 320–330.

基于雨量计的高分辨率格点降水数据与TRMM卫星
反演降水数据在亚洲区域的比较*

韦芬芬¹，汤剑平^1.2**，惠品宏¹

出版日期:2015-11-18 发布日期:2015-11-18
作者简介: (1.南京大学大气科学学院，南京，210093:2.南京大学气候与全球变化研究院，南京，210093)
基金资助:
973国家重点基础研究发展计划(2011C:B952004,2010C:B428500)

Comparing high-resolution rain gauge-based precipitation data
with satellite rainfall estimates of TRMM 3B42 over Asia

Wei Fen-Fen¹,Tang Jian-Ping^1,2,Hui Pin-Hong¹

Online:2015-11-18 Published:2015-11-18
About author: (1 .School of Atmospheric Sciences,Nanjing University,Nanjing,210093,China;
2.Institute for Climate and Global Change Rescarch,Nanjing University,Nanjing,210093,China)

摘要/Abstract

摘要： 本文比较了1998-2007年基于雨量计(APHRO)和TRMM卫星反演(TRMM     3B42)的高分
辨率格点降水数据在亚洲主要区域的特征.通过统计分析比较了降水量的空间分布、年际变率和降水概
率密度分布等.结果表明，TRMM   3B42和APHRO都能较好地描述出年平均及夏季平均降水的主要分
石J特征，但TRMM   3B42在中南半岛和印度西侧降水偏低而在热带赤道地区则偏高;两套数据在中国
地区和站点观测降水具有较好的相关性，尤其是东部及东南部地区;APHRO较TRMM   3B42更接近于
观测结果.TRMM   3B42和APHRO的降水总量、强度和频率的年际变化趋势在中国地区与观测基木一
致，且APHRO和站点观测降水有更好的一致性;而二者在热带赤道地区差异较大.此外，两套资料基木
能描述出中国区域不同降水强度的概率分布特征，对于中小强度降水TRMM   3B42的结果更接近于观
测，APHRO略有高估;而APHR()对大强度降水概率的描述更合理.

Abstract: With the statistical methods, the rainfall features，i. c.，spatial distribution, inter-annual variability and
probability distribution,of Tropical Rainfall Measuring Mission(TRMM)3B42 satellite products over Asia are com
pared with the daily gridded precipitation dataset(APHRO)created by the Asian Precipitation-Highly Resolved Ob-
servational Data integration Towards the Evaluation of Water Resources(APHRODITE)project during 1998-2007
in this study.The results show that TRMM   3B42 is comparable to APHRO in revealing the spatial patterns of an-
nual and summer precipitation amount. However,TRMM   3B42 underestimates the rainfall over lndo-China Peninsu-
la and western lndian,while overestimates it over the tropical regions.Though both of the two higlrresolution prod-
ucts show high correlation with the rain gauges data,especially over the East and Southeast China,APHRO is more
comparable to the rain gauges data and exhibits better performance in depicting the precipitation amount，frequency
and intensity thanTRMM   3B42. However,APHRO overestimates the probability of light and moderate rainfall and
underestimates the heavy rainfall. Compared to ARPHRO,TRMM   3B42 performs better for the light and moderate
rainfall but worse for the heavy rainfall.

韦芬芬¹，汤剑平^1.2**，惠品宏¹
. 基于雨量计的高分辨率格点降水数据与TRMM卫星
反演降水数据在亚洲区域的比较*
[J]. 南京大学学报(自然科学版), 2013, 49(3): 320–330.

Wei Fen-Fen¹,Tang Jian-Ping^1,2,Hui Pin-Hong¹. Comparing high-resolution rain gauge-based precipitation data
with satellite rainfall estimates of TRMM 3B42 over Asia
[J]. Journal of Nanjing University(Natural Sciences), 2013, 49(3): 320–330.

参考文献

[1]Wu F B,Tang J P.The impact of urbanization on a heavy rainfall case in Shanghai on 25 August
2008. Journal of Nanjing University(Natural Si- cences),2011,47(1);71-81.(吴风波，汤剑平.
城市化对2008年5月25日上海一次特大暴雨的影响.南京大学学报(自然科学),2011,47(1); 71一81).
[2]Lao Y,Jiang J.Typical modes of tropical cyclone rainfalls over China during the typhoon seasons
and significant impact facts. Journal of Nanjing University(Natural Sciencess) ,2011，47(1):60一
70.曹勇，江静.台风季中国热带气旋降水的典型模态及显著影响因子.南京大学学报(自然科学),2011,47(1);60-70).
[3]New M, Hulme M,Jones P. Representing twenti- eth-century space-time climate variability, Part
II:Development of 1901一96 monthly grids of terrestrial surface climate. Journal of Climate，2000，1(3):2217一2238.
[4]Mitchell T D, Jones P D. An improved method of constructing a database of monthly climate obser-
vations and associated high-resolution grids. in- ternational Journal of Climatology, 2005，25(6): 693一712.
[5]Yatagai A，Arakawa O，Kamiguchi K , et al.A 44- year daily gridded precipitation dataset for Asia
based on a dense network of rain causes. Scientif ic Online Letters on the Atmosphere,2009，5:137~140
[6]Sorooshian S, Hsu K L, Gao X G, et al. Evalua tion of PERSIANN system satellite-based esti
mates of tropical rainfall. Bulletin of the Ameri can Meteorological Society, 2000，81 :2035一2046.
[7]Huffman G J，Bolvin D T，Nelkin E J，et al.The TRMM multi-satellite precipitation analysis(TM-
PA):Quasi-global，multi-year, combined-sensor precipitation estimates at fine scales. Journal of
Hydrometeorology, 2007 , 8: 38一55.
[8]Joyce R J，Janowiak J F, Arkin P A，et al.CMORPH:A method that produces global pre-
cipitation estimates from passive microwave and infrared data at high spatial and temporal resolu-
tion. Journal of Hydrometeorology,2004，5:487一503.
[9]Sohn B J，Han H J，Seo E K. Validation of satel- lite-based high-resolution rainfall products over
the Korean Peninsula using data from a dense rain gauge network. Journal of Applied Meteorol-
ogy and Climatology,2010,49:701一714.
[10]Hirpa F A, Gebremichael M, Hopson T.Evaluation of high resolution satellite precipitation products o-
ver very cmoplex Terrain in Ethiopia. Journal of Ap- plied Meteorology and Climatology, 2009，49(5): 1044一1051.
[11]Shen Y，Xiong A Y，Wang Y，et al. Performance of high-resolution satellite precipitation products
over China. Journal of Geophysical Research，2010，115，D02114,doi:10. 1029/2009 JD012097.
[12]Zhou T J，Yu R C,Chen H M,et al. Summer pre- cipitation frequency, intensity, and diurnal cycle
over China; A comparision of satellite data with rain gauge observation. Journal of Climate, 2008，21(16):3997一4010.
[13]Takahashi H G, Fujinami H，Yasunari T，et al.Diurnal rainfall pattern observed by Tropical
Rainfall Measuring Mission Precipitation Radar (TRMM-PR)around the Indochina peninsula.
Journal of Geophysical Research, 2010，115,D07109,doi:101029/2009JD012155.
[14]Lu X, Xu H M. Diurnal variations of rainfall in summer over the lndo-China Peninsula. Journal of
Nanjing Institute of Meteorology, 2007，30(5): 632-642.(吕翔，徐海明.中南半岛地区夏季
降水日变化特征.南京气象学院学报，2007,30 (5):632一642).
[15]Yai A J，Liu C H，Liu X D. Diurnal variation of summer rainfall over the Tibetan Plateau and its
neighboring regions revealed by TRMM multi- satellite precipitation analysis. Chinese Journal of
Geophysics,2008,51(3):704-714(白爱娟，刘长海，刘晓东.TRMM多卫星降水分析资料揭示的
青藏高原及其周边地区夏季降水口变化.地球物理学报，2008,51(3):704-714).
[16]Li R,Fu Y F. A comparison study of the tropical monthly precipitation estimated by GPCP version 2
datascts and TRMM PR observations. Acta Meteor- ological Sinica, 2005 , 63 ( 2) ; 146 -160.(李锐，傅
云飞.GPCP和TRMM PR热带月平均降水的差异分析.气象学报，2005,63(2);146-160).
[17]Yai A J，Fang J G,Zhang K X. Summer rainfall in Shaanxi and its nerighborhood regions observed
by TRMM satellite. Journal of Catastrophology, 2008,23(2):41-45.(白爱娟，方建刚，张科翔.
TRMM卫星资料对陕西及周边地区夏季降水的探测.灾害学，2008, 23(2) :41一45) .
[18]Kitoh A，Kusunoki S. East Asian summer mon- soon simulation by a 20 km mesh AUCM. Climate
Dynamics , 2008，31(4):389一401.
[19]Yang J，Wang B, Bao Q. Biweekly and 21一30 day variations of the subtropical summer monsoon
rainfall over the lower reach of the Yangtze River Basin. Journal of Climate，2010，23(5): 1146一1159.
[20]Han G Y，Zhou T J. Assessing the quality of APHRODITE high-resolution daily precipitation
dataset over contiguous China. Chinese Journal of Atmosphere Sciences,2011，36(2):361一373(韩
振宇，周天军. APHRODITE 高分辨率逐口降水资料在中国大陆地区的适用性.大气科学，2011,36 (2):361一393).

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