[1]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):81-87.
　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(03):81-87.
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GPM与TRMM降雨数据在黄河流域适用性分析

《水土保持研究》[ISSN:1005-3409/CN:61-1272/P] 卷: 25 期数: 2018年03期 页码: 81-87 栏目: 出版日期: 2018-04-10
Title:
Analysis on the Applicability of GPM and TRMM Precipitation Data in the Yellow River Basin
作者:
董国涛1, 樊东1,2, 杨胜天3, 薛华柱2, 周俊利2, 党素珍1, 程春晓1
1. 黄河水利委员会 黄河水利科学研究院 水利部 黄土高原水土流失过程与控制重点实验室, 郑州 450003;
2. 河南理工大学 测绘与国土信息工程学院, 河南 焦作 454000;
3. 北京师范大学 遥感科学国家重点实验室 环境遥感与数字城市 北京市重点实验室, 北京 100875
Author(s):
DONG Guotao1, FAN Dong1,2, YANG Shengtian3, XUE Huazhu2, ZHOU Junli2, DANG Suzhen1, CHENG Chunxiao1
1. Key Laboratory of the Loess Plateau Soil Erosion and Erosion Water Loss Process and Control, Ministry of Water Resources, Yellow River Institute of Hydraulic Research, Zhengzhou 450003, China;
2. School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, Henan 454000, China;
3. State Key Laboratory of Remote Sensing Science, Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Beijing Normal University, Beijing 100875, China
关键词:
GPM; TRMM; 降水; 适用性分析; 黄河流域
Keywords:
GPM; TRMM; precipitation; applicability analyses; Yellow River Basin
分类号:
P468.0+24
摘要:
GPM（Global Precipitation Measurement）是继TRMM（Tropical Rainfall Measuring Mission）之后的新一代全球卫星降水测量计划。GPM扩展了TRMM传感载荷，提升了降水观测能力。以GPM和TRMM重合期（2014年3月-2015年4月）数据为对象，利用黄河流域内76个气象站点的降雨实测数据，探讨了两种卫星降水数据在黄河流域的适用性，并分析了流域内两种卫星降水数据误差的时空分布。结果表明：年尺度上，GPM与TRMM卫星数据与实测降水量的决定系数分别为0.78，0.86，总体一致性较好，但分别存在2.46%与2.19%的相对高估。季节尺度上，春、秋两季数据精度高，夏季卫星降水数据相对于实测降水量存在较大的绝对误差，冬季则相对误差较大。月尺度上，除7月、8月外卫星降水数据均大于实测降水量，相对误差最大值出现在12月，绝对误差最大值出现在9月。单站点验证结果表明GPM与TRMM卫星降水数据在流域北部的陶乐、惠农、临河等区域数据精度偏低，而在广大的流域中南部区域卫星降水数据与实测降水量有较高的一致性。
Abstract:
Precipitation is a fundamental component of the global water cycle, a key parameter of ecology, hydrology and meteorology. Knowing when, where and how precipitation occurres is crucial for understanding how weather and climate impact both our environment and Earth water and energy cycles, including effects on agriculture, fresh water availability, and responses to natural disasters, and it is extraordinarily important for sustaining life on our planet during climate change. Accurate precipitation measurement of estimation is vital to water resource management, weather prediction, disaster monitoring, controlling, and so on. In addition, the availability of high-quality precipitation data is a prerequisite for conducting meaningful climatic, atmospheric and hydrological models. The Global Precipitation Measurement (GPM) Mission, lunched February 27th, 2014 by a joint effort of America National Aeronautics and Space Administration (NASA) and the Japan Aerospace Exploration Agency (JAXA), is an international satellite mission that provides the next-generation global observations of rain and snow. Based on the Tropical Rainfall Measuring Mission (TRMM), the GPM to unify precipitation measurements form constellation of research and operational sensors to provide a new generation precipitation products, GPM was designed to set a new standard for measurement of precipitation and snowfall, measure light rain, and provide quantitative estimates of microphysical properties of precipitation particles. A critical evaluation of these newly released precipitation data sets is very important for both the end users and data developers. In this study, the quality of the GPM and TRMM precipitation product from March 2014 to April 2015 were evaluated in Yellow River Basin with rain gauges from 76 meteorological stations. The main findings of this study are as follows. There was a significant correlation between GPM/TRMM products and the observed data. However, the satellite data might be a little bit overestimated by 2.46 percent and 2.19 percent, respectively. Compared with the observed data, the satellite products contained large absolute error in summer and relative error in winter, yet the computed accuracy is relatively high in spring and autumn. On the scale of months, the satellite precipitation data are greater than the measured values except the August and September, among them, the largest relative error appears in December, whereas the maximum absolute error appears in September. The single-site verification results show that the TRMM and GPM precipitation products have a poor accuracy around the site of Taole, Huinong and Linhe in the north of Yellow River Basin. However, the satellite data and the observation data have highly consistency in the south-central of Yellow River Basin and the precipitation data from satellite is applicable in this region. As the early validation and comparison of the GPM IMERG and TRMM 3B43 V7 monthly products, it will provide useful references and feedbacks for the development of IMERG algorithms and promote the research and application of GPM data over Yellow River Basin and beyond.

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备注/Memo

收稿日期:2017-06-08;改回日期:2017-08-08。
基金项目:国家重点研发计划项目（2016YFC0402400）；国家自然科学基金（51779099，41301496）；中央级公益性科研院所基本科研业务费专项资金（HKY-JBYW-2017-10）
作者简介:董国涛(1982-),男,山东青州人,博士,高级工程师,主要从事水文水资源遥感方面研究。E-mail:dongguotao@hky.yrcc.gov.cn
通讯作者:樊东(1992-),男,四川宜宾人,硕士研究生,研究方向为3S技术理论与应用。E-mail:fan_zhonghe@163.com

更新日期/Last Update: 1900-01-01