TRMM降雨数据在湖南省长株潭地区的适用性

谢红霞; 刘旭星; 隋兵; 贺红士; 邓逸尘; 覃超

doi:10.13961/j.cnki.stbctb.2017.03.051

您当前的位置：

首页 >

文章列表页 >

TRMM降雨数据在湖南省长株潭地区的适用性

实验研究

- TRMM降雨数据在湖南省长株潭地区的适用性
- Applicability of Precipitation Data from TRMM in Changsha-Zhuzhou-Xiangtan Region, Hunan Province
- 水土保持通报 2017年37卷第3期页码：295-301
- 作者机构：
  
  1. 湖南农业大学资源环境学院,湖南,长沙,410128
  2. 湖南省气象研究所,湖南,长沙,410007
  3. 美国密苏里大学自然资源学院, 密苏里州,哥伦比亚,65211
- 作者简介：
- 基金信息：
  
  国家自然科学基金项目“基于高分遥感与GIS的我国南方农村空心化演进机制及调控研究”（41371184）;湖南省教育厅科研项目（13C386）;湖南农业大学大学生研究性学习和创新性试验计划项目及科技创新资助项目
- DOI：10.13961/j.cnki.stbctb.2017.03.051
  中图分类号：
- 纸质出版：2017
- 稿件说明：
移动端阅览
谢红霞, 刘旭星, 隋兵, 等. TRMM降雨数据在湖南省长株潭地区的适用性[J]. 水土保持通报, 2017,37(3):295-301.

XIE Hongxia, LIU Xuxing, SUI Bing, et al. Applicability of Precipitation Data from TRMM in Changsha-Zhuzhou-Xiangtan Region, Hunan Province[J]. Bulletin of Soiland Water Conservation, 2017, 37(3): 295-301.
谢红霞, 刘旭星, 隋兵, 等. TRMM降雨数据在湖南省长株潭地区的适用性[J]. 水土保持通报, 2017,37(3):295-301. DOI： 10.13961/j.cnki.stbctb.2017.03.051.

XIE Hongxia, LIU Xuxing, SUI Bing, et al. Applicability of Precipitation Data from TRMM in Changsha-Zhuzhou-Xiangtan Region, Hunan Province[J]. Bulletin of Soiland Water Conservation, 2017, 37(3): 295-301. DOI： 10.13961/j.cnki.stbctb.2017.03.051.

摘要

[目的] 基于现有实测降雨数据和TRMM降雨数据，探讨利用TRMM数据估测实际降雨的方法。[方法] 利用湖南省长株潭地区12个气象站点观测的降雨数据和TRMM降雨数据，采用相关系数法、误差分析、相对偏差分析等方法，分析长株潭地区2002-2011年TRMM降雨数据的精度。[结果] 长株潭地区的TRMM数据和站点数据的拟合程度较好，年降雨量的拟合优度为0.69，春、夏、秋、冬4季降雨量的拟合优度依次为0.68，0.52，0.66，0.34，月降雨量的拟合优度达0.73，各站点月降雨量的拟合优度更好。相对偏差分析与误差分析结果表明TRMM降雨数据普遍低于实测降雨数据，这种偏差主要是因为单个观测站点实际代表面积远小于TRMM单个栅格的代表面积，而相对偏差均为负值则可能是城市的降雨量和雨强大于农村所致。此外偏差和地形起伏存在一定的联系，地形起伏越大的地区偏差越大。[结论] TRMM降雨数据在长株潭地区有一定的适用性，但在使用时需要用观测数据进行必要的修正，TRMM数据也可作为历史降雨观测数据分析的一个参考以提高其空间精度。

Abstract

[Objective] This study aimed to testify the method of estimating the real precipitation with TRMM data with the aid of the observed precipitation and TRMM precipitation from 2002 to 2011.[Methods] The applicability of TRMM precipitation data in Changsha-Zhuzhou-Xiangtan region of Hunan Province from 2002 to 2011 was analyzed based on the precipitation data from 12 rainfall observation stations with the methods of correlation coefficient

error analysis

relative deviation analysis and statistical analysis.[Results] The fitting degree of TRMM data and observation station data in these regions were good. The goodness-of-fit of yearly rainfall was 0.69 and the ones of the spring

summer

fall and winter respectively were 0.68

0.52

0.66 and 0.34. The goodness-of-fit of monthly rainfall reached to 0.73 and that of the every station was good too. Methods of relative deviation analysis and error analysis indicated that the TRMM rainfall data was generally lower than the observed precipitation

which was mainly for that the area representativeness of the signal observational station was far smaller than that of the TRMM. This was because of that the cities' rainfall extensity was stronger than rural area caused by urbanization and that the rainfall observation stations are all located in the edge of cities. The deviation has some definite relations with typographic relief. The more the topographic relief is

the greater the deviation will be.[Conclusion] The TRMM rainfall data has some definite applicability in the region of Changsha-Zhuzhou-Xiangtan region. We can adopt it for different uses but we should have some indispensible correction with observational data. The TRMM data can also be a reference for the use of the limited previously rainfall observation data in order to improve the spatial accuracy.

关键词

Keywords

references

谢云,刘宝元,章文波.侵蚀性降雨标准研究[J].水土保持学报,2000,14(4):6-11.

吕洋,杨胜天,蔡明勇,等. TRMM卫星降水数据在雅鲁藏布江流域的适用性分析[J].自然资源学报,2013,28(8):1414-1425.

李景刚,李纪人,黄诗峰,等.基于TRMM数据和区域综合

指数的洞庭湖流域近10 a旱涝特征分析[J].资源科学,2010,32(6):1103-1110.

Adler R F, Kummerow C, Bolvin D, et al. Status of TRMM monthly estimates of tropical precipitation[M]//Cloud Systems, Hurricanes, and the Tropical Rainfall Measuring Mission(TRMM). American Meteorological Society, 2003:223-234.

Chiu Lius, Liu Zhong, Vongsaard J, et al. Comparison of TRMM and water district rain rates over New Mexico[J]. Advances in Atmospheric Sciences, 2006,23(1):1-13.

Ferraro R R, Peters-Lidard C D, Hernandez C, et al. An evaluation of microwave land surface emissivities over the continental United States to benefit GPM-era precipitation algorithms[J]. IEEE Transactions on Geoscience and Remote Sensing, 2013,51(1):378-398.

Nicholson S E, Some B, McCollum J, et al. Validation of TRMM and other rainfall estimates with a high-density gauge dataset for West Africa(Part Ⅰ):Validation of GPCC rainfall product and pre-TRMM satellite and blended products[J]. Journal of Applied Meteorology, 2003,42(10):1337-1354.

Nicholson S E, Some B, McCollum J, et al. Validation of TRMM and other rainfall estimates with a high-density gauge dataset for West Africa(Part Ⅱ):Validation of TRMM rainfall products[J]. Journal of Applied Meteorology, 2003,42(10):1355-1368.

Brown J E M. An analysis of the performance of hybrid infrared and microwave satellite precipitation algorithms over India and adjacent regions[J]. Remote Sensing of Environment, 2006,101(1):63-81.

Islam M, Uyeda H. TRMM observed vertical structure and diurnal variation of precipitation in south Asia[C]//Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on. IEEE, 2006:1292-1295.

Ebert E E. Verifying satellite precipitation estimates for weather and hydrological applications[C]//Proceedings of the 1st International Precipitation Working Group(IPWG) Workshop. 2002.

Ebert E E, Janowiak J E, Kidd C. Comparison of near-real-time precipitation estimates from satellite observations and numerical models[J]. Bulletin of the American Meteorological Society, 2007,88(1):47-64.

Turk F J, Bauer P, Arkin P A. Satellite-derived precipitation verification activities within the International Precipitation Working Group (IPWG)[C]//AGU Fall Meeting Abstracts. 2005.

朱国锋,蒲焘,张涛,等.TRMM降水数据在横断山区的精度[J].地理科学,2013,33(9):1125-1131.

季漩,罗毅. TRMM降水数据在中天山区域的精度评估分析[J].干旱区地理,2013,36(2):253-262.

曲伟,路京选,宋文龙,等.TRMM遥感降水数据在伊洛瓦底江流域的精度检验和校正方法研究[J].地球科学进展,2014,29(11):1262-1270.

郭荣中,杨敏华.长株潭地区生态系统服务价值分析及趋势预测[J].农业工程学报,2014,30(5):238-246.

李杨.城市化对中国区域降水变化特征的影响及模拟研究[D].南京:南京信息工程大学,2013.

浏览量

1226

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

WEPP模型在东北黑土区的适用性评价--以坡度和水保措施为例

GPM与TRMM降水数据在海河流域的精度对比研究

基于河道淤泥气泡混合土微观构造特征的发泡剂适用性研究

金沙江流域降雨侵蚀力时空分布特征

不同深度土壤水分同化产品在川西高原的应用