Accuracy and Application of Tropical Rainfall Measuring Mission Data in Heihe River Basin

ZHAO Jun; LIU Yuanfeng; ZHU Guofeng; SHI Yinfang; LI Jiafang; YANG Ling; HUANG Yongsheng; HU Pengfei

doi:10.13961/j.cnki.stbctb.2016.03.053

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Accuracy and Application of Tropical Rainfall Measuring Mission Data in Heihe River Basin

- Accuracy and Application of Tropical Rainfall Measuring Mission Data in Heihe River Basin
- Bulletin of Soiland Water Conservation Vol. 36, Issue 3, Pages: 309-315(2016)
- 作者机构：
  
  1. 西北师范大学地理与环境科学学院,甘肃,兰州,730000
  2. 中国科学院寒区旱区环境与工程研究所冰冻圈科学国家重点实验室,甘肃,兰州,730000
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2016.03.053
  CLC：
- Published：2016
- 稿件说明：
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ZHAO Jun, LIU Yuanfeng, ZHU Guofeng, et al. Accuracy and Application of Tropical Rainfall Measuring Mission Data in Heihe River Basin[J]. Bulletin of Soiland Water Conservation, 2016, 36(3): 309-315.
DOI：

ZHAO Jun, LIU Yuanfeng, ZHU Guofeng, et al. Accuracy and Application of Tropical Rainfall Measuring Mission Data in Heihe River Basin[J]. Bulletin of Soiland Water Conservation, 2016, 36(3): 309-315. DOI： 10.13961/j.cnki.stbctb.2016.03.053.

摘要

［目的］验证热带测雨卫星数据TRMM（tropical rainfall measuring mission）3B43降水产品在黑河流域内的精度及可用性，了解全流域降水的空间分布，为西北干旱区流域开展水文和生态研究提供数据支持。［方法］基于黑河流域1998-2013年TRMM 3B43 V7数据和11个气象站点数据，使用相关系数、均方根误差、平均误差、平均绝对误差等主要指标评估其在流域内精度，揭示各指标空间分布特征。［结果］（1） TRMM数据与实测数据有极强的统计相关性和趋势一致性，但存在不同程度高估现象，月平均高估2.84 mm，季、年尺度高估值分别达到8.55和34.1 mm；（2）相关系数、均方根误差，从上游到下游依次降低，平均误差在3尺度上上游值均远低于中下游，平均绝对误差在年尺度上游最低，下游次之，中游最高，而在季节尺度上中游相差不大，下游最小，月尺度从上游到下游平均绝对误差值逐渐递减。［结论］ TRMM数据显示黑河流域多年平均降雨量呈西南部向中、北部递减的分布格局，且降水量具有上游 > 中游 > 下游的梯度分布，降水年内分配不均，主要集中在5-9月。

Abstract

[Objective] To verify and use TRMM(tropical rainfall measuring mission) 3B43 precipitation product in the Heihe river basin(HRB) in order to understand the spatial distribution of precipitation and provide reliable data for hydrological and ecological studies.[Methods] The TRMM 3B43 V7 precipitation data and 11 meteorological data in HRB was collected from 1998 to 2013. The indices including CC(correlation coefficient)

RMSE(root-mean-square error)

ME(mean error) and MAE(mean absolute error) were used to assess the accuracy of TRMM data within the basin

and the spatial distribution characteristics of each index was investigated.[Results] It showed that there was an extremely significant correlation between TRMM and the observed data

but the TRMM data might be a little bit overestimated

monthly average rainfall could be overestimated by 2.84 mm

and seasonal and annual value could be overestimated by 34.1 and 8.55 mm

respectively. The value of CC and RMSE decreased from upstream to downstream

the ME value in upstream was far lower than in the middle and lower reaches at all three scales. The value of MAE was the lowest in upstream

but it is highest in the middle reaches at the annual scale

and a similar trend was found at the seasonal scale. The MAE value decreased from upstream to downstream at the monthly scale.[Conclusion] According to the TRMM data

the distribution of the annual average rainfall decreased from the southwest to north and central part of the basin. The precipitation gradient distributed showed as upstream > midstream > downstream. The annual precipitation distributed unevenly

mainly concentrated in the period from May to September.

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references

Su Fengge, Hong Yang, Lettenmaier D P. Evaluation of TRMM Multi-satellite Precipitation Analysis(TMPA)and its utility in hydrologic prediction in La Plata Basin[J]. Journal of Hydrometeology, 2008,9(4):622-640.

李相虎,张奇,邵敏.基于TRMM数据的鄱阳湖流域降雨时空分布特征及其精度评价[J].地理科学进展,2012,31(9):1164-1170.

杨云川,程根伟,范继辉,等.卫星降雨数据在高山峡谷地区的代表性与可靠性[J].水资源进展,2013,24(1):24-33.

World Meteorological Organization. International meteorological vocabulary[R]. World meteorological Organization, 1992:182-784.

Almazroui M. Calibration of TRMM rainfall climatology over Saudi Arabia during 1998-2009[J]. Atmospheric Research, 2011,99(3/4):400-414.

Jia Shaofeng, Zhu Wenbin, Lu A F. A statistical spatial downscaling algorithm of TRMM precipitation based on NDVI and DEM in the Qaidam Basin of China.[J]. Remote Sensing of Environment, 2011,115(12):3069-3079.

Collischonn B, Collischonn W, Tucci C E M. Daily hydrological modeling in the Amazon basin using TRMM rainfall estimates[J]. Journal of Hydrology, 2008,360(S):207-216.

Li Xianghu, Zhang Qi, Xu Chongyu. Suitability of the TRMM satellite rainfalls in driving a distributed hydrological model for water balance computations in Xinjiang catchment, Poyang lake basin[J]. Journal of Hydrology, 2012(426):28-38.

刘俊峰,陈仁升,卿文武,等.基于TRMM降水数据的山区降水垂直分布特征[J].水科学进展,2011,22(4):447-454.

Bindlish R, Jackson T J, Wood E, et al. Soil moisture estimates from TRMM Microwave Imager observations over the Southern United States[J]. Remote Sensing of Environment, 2003,85(3):507-515.

Du Lingtong, Tian Qingjiu, Yu Tao, et al. A comprehensive drought monitoring method integrating MODIS and TRMM data[J]. International Journal of Applied Earth Observation & Geoinformation, 2013,23(8):245-253.

常远勇,侯西勇,于良巨,等.基于TRMM 3B42数据的1998-2010年中国暴雨时空特征分析[J].水资源与水工程学报,2013,24(3):105-112.

吴学珂,郄秀书,袁铁.亚洲季风区深对流系统的区域分布和日变化特征[J].中国科学:地球科学,2013(4):556-569.

Mantas V M, Liu Z, Caro C, et al. Validation of TRMM multi-satellite precipitation analysis(TMPA)products in the Peruvian Andes[J]. Atmospheric Research, 2015,163:132-145.

Islam T, Han D, Ishak A M, et al. Performance evaluation of the TRMM precipitation estimation using ground-based radars from the GPM validation network[J]. Journal of Atmospheric and Solar-Terrestrial Physics, 2012,77(3):194-208.

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.

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.

刘俊峰,陈仁升,韩春坛,等.多卫星遥感降雨数据精度评价[J].水科学进展,2010,21(3):343-348.

齐文文,张百平,庞宇,等.基于TRMM数据的青藏高原降水的空间和季节分布特征[J].地理科学,2013(8):999-1005.

Huffman G J, Bolvin D T. TRMM and Other Data Precipitation Data Set Documentation[EB/OL]. (2013-01-28).[2015-06-02].ftp://meso-a.gsfc.nasa.gov/pub/trmmdocs/3B42_3B43_doc.pdf.

Yashon O O, Titus O, Emmanuel K, et al. Multitemporal comparative analysis of TRMM-3B42 satellite-estimated rainfall with surface gauge data at basin scales: Daily, decadal and monthly evaluations[J]. International Journal of Remote Sensing, 2012,33(24):7662-7684.

蔡研聪,金昌杰,王安志,等.中高纬度地区TRMM卫星降雨数据的精度评价[J].应用生态学报,2014,25(11):3296-3306.

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