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地球科学进展  2014, Vol. 29 Issue (11): 1262-1270    DOI: 10.11867/j.issn.1001-8166.2014.11.1262
研究论文     
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
曲伟1, 2, 路京选1, 2, 宋文龙1, 2, 张婷婷3, 谭亚男1, 黄萍1
1.中国水利水电科学研究院, 北京 100038; 2.水利部防洪抗旱减灾工程技术研究中心, 北京100038; 3.沈阳农业大学, 辽宁 沈阳 110866
Research on Accuracy Validation and Calibration Methods of TRMM Remote Sensing Precipitation Data in Irrawaddy Basin
Qu Wei1, 2, Lu Jingxuan1, 2, Song Wenlong1, 2, Zhang Tingting3, Tan Ya’nan1, Huang Ping1
1. China Institute of Water Resources and Hydropower Research, Beijing, 100038; 2.Research Center on Flood & Drought Disaster Reduction of the Ministry of Water Resources, Beijing, 100038; 3. Shenyang Agricultural University, Shenyang, 110866
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摘要:

在伊洛瓦底江流域利用13个雨量站数据对TRMM日降水数据进行了精度检验, 提出了一种基于水量平衡的TRMM数据校正方法。该方法首先以SWAT模型为基础, 以不同子流域内的水量平衡为目标, 计算各个子流域的TRMM数据校正系数;其次以子流域内的坡度值为自变量, 校正系数为因变量, 对二者进行回归分析, 在没有水文控制站的子流域根据坡度求得对应的校正系数, 对各个子流域的降水数据分别进行校正。结果显示, 校正前TRMM年降水量和月降水量与实测值有较高相关性, 但偏差较大;校正后年降水量与实测值基本一致;月降水量与实测曲线吻合较好;日降水量的预报等级从中等提高到了良好, 校正前2个站预报等级差, 7个良好, 4个中等, 校正后6个良好, 2个中等, 5个优秀。结果表明此方法在伊江流域能在不同时间尺度上显著提高TRMM数据的精度, 为流域水文水资源分析提供数据支持。

关键词: 水文模拟缺资料流域地形校正精度评价    
Abstract:

TRMM daily precipitation data were validated compared to thirteen precipitation observation station data in Irrawaddy basin, and a calibration method of TRMM 3B42 data based on water balance concept was developed. SWAT model was used to calculate water balance, and then the TRMM data calibration ratio was inferred based on it. Average slope of sub-basin was the independent variable, and calibration ration was the dependent variable for the regression analysis. The calibration ratio of sub-basins without hydrological observation stations were calculated according to the average slope, and then the TRMM precipitation were calibrated according to the ratio in the whole basin. Results showed that TRMM annual and monthly precipitation had a highly correlation with observed data, but had a bad bias. Annual precipitation of TRMM precipitation after calibration were nearly the same as observed; monthly precipitation curve were similar with observed. Daily precipitation forecast rank was improved from medium to well, and there were 2 station forecast bad, 7 forecast well and 4 forecast medium before calibration, but 6 forecast well, 2 forecast medium and 5 forecast excellent after calibration. The results proved that TRMM data precision were highly improved over different temporal scales in Irrawaddy basin through this method, data for hydrological and water resources analysis were also provided.

Key words: Data scarce basin    Terrain correction    Hydrological modelling    Accuracy validation.
收稿日期: 2014-06-20 出版日期: 2014-11-20
:  P332.1  
基金资助:

中国水利水电科学研究院科研专项“突发性水灾害应急遥感监测评估及区域河流遥感监测平台与软件研制”(编号:遥集1453); 国家高技术计划项目“典型应用领域全球定量遥感产品生产体系”(编号:2013AA12A302)资助

作者简介: 曲伟(1984-), 女, 山东烟台人, 工程师, 主要从事水文水资源遥感研究. E-mail: quwei@iwhr.com
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引用本文:

曲伟, 路京选, 宋文龙, 张婷婷, 谭亚男, 黄萍. 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.

Qu Wei, Lu Jingxuan, Song Wenlong, Zhang Tingting, Tan Ya&#x, nan, Huang Ping. Research on Accuracy Validation and Calibration Methods of TRMM Remote Sensing Precipitation Data in Irrawaddy Basin. Advances in Earth Science, 2014, 29(11): 1262-1270.

链接本文:

http://www.adearth.ac.cn/CN/10.11867/j.issn.1001-8166.2014.11.1262        http://www.adearth.ac.cn/CN/Y2014/V29/I11/1262

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