[1]潘虹,邱新法,高婷,等.基于TRMM和NCEP-FNL数据的降水估算研究[J].水土保持研究,2014,21(02):116-122.
　PAN Hong,QIU Xin-fa,GAO Ting,et al.Study on the Estimation of Precipitation with the Data of TRMM and NCEP-FNL[J].Research of Soil and Water Conservation,2014,21(02):116-122.
点击复制

基于TRMM和NCEP-FNL数据的降水估算研究

《水土保持研究》[ISSN:1005-3409/CN:61-1272/P] 卷: 21 期数: 2014年02期 页码: 116-122 栏目: 出版日期: 2014-04-28
Title:
Study on the Estimation of Precipitation with the Data of TRMM and NCEP-FNL
作者:
潘虹1, 邱新法1, 高婷2, 何永健1, 史建桥3
1. 南京信息工程大学 遥感学院, 南京 210044;
2. 浙江省气象信息网络中心, 杭州 310017;
3. 94783部队61分队, 浙江 长兴 313111
Author(s):
PAN Hong1, QIU Xin-fa1, GAO Ting2, HE Yong-jian1, SHI Jian-qiao3
1. School of Remote Sensing, Nanjing University of Information Science and Technology, Nanjing 210044, China;
2. Zhejiang Provincial Meteorological Information Network Center, Hangzhou 310017, China;
3. Unit 61, No 94783 of PLA, Changxiang, Zhejing 313111, China
关键词:
TRMM; NCEP-FNL; 降水; 盛行风向; 地形
Keywords:
TRMM; NCEP-FNL; precipitation; prevailing wind; terrain
分类号:
P333.1
摘要:
为了使TRMM数据在我国更好的应用，该文基于TRMM降水产品，耦合气象站观测资料和DEM数据，利用NCEP-FNL数据计算得到各月高空盛行风向，采用基于区域分月的逐步回归算法，建立降水估算模型。得到2000—2007年全国1月、4月、7月、10月降水空间分布图，并对结果进行检验与分析。结果表明，1月、4月、7月、10月平均绝对误差分别为2.2，5.8，16.9，6.0 mm，平均相对误差分别为19.3%，14.2%，13.4%，18.9%，模型估算结果较TRMM降水产品误差明显减小。模型估算的降水分布趋势不仅保持着原始TRMM降水产品的分布特征，而且可以更好地体现出迎风坡和背风坡的降水分布规律。
Abstract:
In this paper, for the sake of TRMM data better application in our country, we presented a computational model for estimation of precipitation based on the data from TRMM and NCEP-FNL. With the prevailing wind direction of each month calculated by NCEP-FNL data, and coupled with the observational data of meteorological station and DEM data, a monthly stepwise regression algorithm for a certain region was constructed. By employing the estimation model, we obtained the spatial distribution of precipitation of China in January, April, July and October from 2000 to 2007. Further analysis and calculation showed that the averaged absolute errors for January, April, July and October were 2.2 mm, 5.8 mm, 16.9 mm and 6.0 mm, respectively; and the averaged relative errors are 19.3%, 14.2%, 13.4% and 18.9%, respectively. The estimated data significantly diminishes the errors of that from TRMM. Moreover, the global distribution of precipitation remains almost the same with that of the original TRMM data, while the results of our model nicely present the distribution pattern of precipitation for both windward and leeward slope.

参考文献/References:

[1] 侯兰功,肖红浪,邹松兵,等.黑河流域水循环特征研究[J].水土保持研究,2010,17(3):254-258.
[2] 陈贺,李原园,杨志峰,等.地形因素对降水分布影响的研究[J].水土保持研究,2007,14(1):119-122.
[3] 徐晶,毕宝贵.卫星估计降水量产品的优化处理及分区检验[J].气象,2005,31(2):27-31.
[4] Huffman G J, Bolvin D T, Nelkin E J, et al. The TRMM Multisatellite Precipitation Analysis (TMPA):Quasi-global, multiyear, combined-sensor precipitation estimates at fine scales[J]. Journal of Hydrometeorology,2007,8(1):38-55.
[5] Shepherd J M, Pierce H, Negri A J. Rainfall modification by major urban areas:Observations from spaceborne rain radar on the TRMM satellite[J]. Journal of Applied Meteorology,2002,41(7):689-701.
[6] Nesbitt S W, Zipser E J. The diurnal cycle of rainfall and convective intensity according to three years of TRMM measurements[J]. Journal of Climate,2003,16(10):1456-1475.
[7] 闵爱荣,游然,卢乃锰,等.TRMM卫星微波成像仪资料的陆面降雨反演[J].热带气象学报,2008,24(3):265-272.
[8] 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[J].灾害学,2008,23(2):41-45.
[9] 曾红伟,李丽娟.澜沧江及周边流域TRMM3B43数据精度检验[J].地理学报,2011,66(7):994-1004.
[10] Barros A P, Lettenmaier D P. Dynamic modeling of orographically induced precipitation[J]. Reviews of Geophysics,1994,32(3):265-284.
[11] Yin Z Y, Liu X D, Zhang X Q, et al. Using a geographic information system to improve Special Sensor Microwave Imager (SSM/I) precipitation estimates over the Tibetan Plateau[J]. Journal of Geophysical Reasearch,2004,109:D03110, doi:10.1029/2003JD003749.
[12] Yin Z Y, Zhang X, Liu X, et al. An assessment of the biases of satellite rainfall estimates over the Tibetan Plateau and correction methods based on topographic analysis[J]. Journal of Hydrometeorology,2008,9(3):301-326.
[13] Ji X, Chen Y. Characterizing spatial patterns of precipitation based on corrected TRMM 3B43 data over the mid Tianshan Mountains of China[J]. Journal of Mountain Science,2012,9(5):628-645.
[14] 傅抱璞.地形和海拔高度对降水的影响[J].地理学报,1992,47(4):302-314.
[15] Guan H, Wilson J L, Makhnin O. Geostatistical mapping of mountain precipitation incorporating autosearched effects of terrain and climatic characteristics[J]. Journal of Hydrometeorology,2005,6(6):1018-1031.
[16] 孙鹏森,刘世荣,李崇巍.基于地形和主风向效应模拟山区降水空间分布[J].生态学报,2004,24(9):1910-1915.
[17] 张宏群,马晓群,范伟,等.基于GIS的大别山区东段雨季降水空间分布模拟[J].水土保持通报,2010,30(5):152-157.
[18] 韩雪云,杨青,姚俊强.新疆天山山区近51年来降水变化特征[J].水土保持研究,2013,20(2):139-144.
[19] 林之光.地形降水气候学[M].北京:科学出版社,1995.
[20] 穆兴民,陈国良,徐学选.黄土高原降水量与地理因素关系分析[J].水土保持研究,1992,16:80-86.

相似文献/References:

[1]李慧,杨涛,何祺胜,等.新疆天山山区TRMM卫星降水数据的精度检验和校正方法研究[J].水土保持研究,2017,24(06):327.
　LI Hui,YANG Tao,HE Qisheng,et al.Research on Accuracy Validation and Calibration Methods of TRMM in Tianshan Mountains of Xinjiang[J].Research of Soil and Water Conservation,2017,24(02):327.
[2]朱红雷,史晓亮,李英臣,等.基于SWAT模型的TRMM降水数据径流模拟适宜性评价[J].水土保持研究,2017,24(05):105.
　ZHU Honglei,SHI Xiaoliang,LI Yingchen,et al.Evaluation of Runoff Simulation Using TRMM Precipitation Data Based on SWAT Model[J].Research of Soil and Water Conservation,2017,24(02):105.
[3]董国涛,樊东,杨胜天,等.GPM与TRMM降雨数据在黄河流域适用性分析[J].水土保持研究,2018,25(03):81.
　DONG Guotao,FAN Dong,YANG Shengtian,et al.Analysis on the Applicability of GPM and TRMM Precipitation Data in the Yellow River Basin[J].Research of Soil and Water Conservation,2018,25(02):81.
[4]靖娟利,罗福林,王永锋,等.1998-2017年滇黔桂岩溶区降水时空动态特征[J].水土保持研究,2019,26(05):158.
　JING Juanli,LUO Fulin,WANG Yongfeng,et al.Spatial and Temporal Dynamics of Precipitation in Dian-Qian-Gui Karst Area from 1998 to 2017[J].Research of Soil and Water Conservation,2019,26(02):158.
[5]刘益锋,汪小钦,吴思颖,等.GPM与TRMM卫星降雨数据在福建省的适用性对比分析[J].水土保持研究,2019,26(06):311.
　LIU Yifeng,WANG Xiaoqin,WU Siying,et al.Comparative Analysis of Applicability of GPM and TRMM Satellite Precipitation Data in Fujian Province[J].Research of Soil and Water Conservation,2019,26(02):311.
[6]薛 健,李宗省,李宗杰,等.基于TRMM数据的祁连山大气降水时空分布特征[J].水土保持研究,2021,28(01):204.
　XUE Jian,LI Zongsheng,LI Zongjie,et al.Spatial and Temporal Distribution Characteristics of Precipitation in Qilian Mountains Based on TRMM Data[J].Research of Soil and Water Conservation,2021,28(02):204.

备注/Memo

收稿日期:2013-07-28;改回日期:2013-09-23。
基金项目:国家自然科学基金项目“复杂地形下月平均气温分布式模型研究”（41175077）；黔科合重大专项字[2011]6003号“贵州“两高”沿线特色农业气候精细化区划与气象灾害防控”
作者简介:潘虹(1988-),女,江苏南京人,硕士研究生,主要从事GIS在气象中的应用。E-mail:panhong_nuist@163.com
通讯作者:邱新法(1966-),男,浙江湖州人,博士,教授,博士生导师,现从事3S集成与气象应用方面的研究。E-mail:xfqiu135@nuist.edu.cn

更新日期/Last Update: 1900-01-01