1. 辽宁师范大学 城市与环境学院,辽宁,大连,116029
2. Esri中国信息技术有限公司,北京,100027
3. 大连国家海域使用动态监视监测管理中心,辽宁,大连,116011
纸质出版:2017
移动端阅览
魏志明, 岳官印, 李家, 等. GPM与TRMM降水数据在海河流域的精度对比研究[J]. 水土保持通报, 2017,37(2):171-176.
Comparison Study on Accuracies of Precipitation Data Using GPM and TRMM Product in Haihe River Basin[J]. Bulletin of Soiland Water Conservation, 2017, 37(2): 171-176.
魏志明, 岳官印, 李家, 等. GPM与TRMM降水数据在海河流域的精度对比研究[J]. 水土保持通报, 2017,37(2):171-176. DOI: 10.13961/j.cnki.stbctb.2017.02.026.
Comparison Study on Accuracies of Precipitation Data Using GPM and TRMM Product in Haihe River Basin[J]. Bulletin of Soiland Water Conservation, 2017, 37(2): 171-176. DOI: 10.13961/j.cnki.stbctb.2017.02.026.
[目的
]
对GPM与TRMM降水产品在海河流域的测量精度进行对比研究,以评估TRMM及GPM数据在海河流域的适用性。[方法
]
以海河流域为研究区,利用35个气象站点2014年4-10月的实测降水量数据在月时间尺度上对两代降水产品利用决定系数R
2
和相对误差BIAS进行精度评价。[结果
]
(1)卫星降水产品与气象台站实测降水量决定系数从TRMM数据的0.758 2提升至GPM数据的0.760 7,斜率K从TRMM数据的0.810 5提升至GPM的数据的0.833 5。(2)TRMM与GPM降水产品差别较小,虽两者均轻微低估了降水量,但整体上精度较高且GPM略优于TRMM。[结论
]
GPM IMERG降水产品在海河流域月尺度的高空间分辨率水文分析方面具有很好的应用前景。
[Objective] The accuracies of GPM and TRMM precipitation data were measured to evaluate the applicability of TRMM and GPM data in the Haihe River basin. [Methods] The precipitation products from April to October 2014 in the Haihe River basin were compared with the corresponding data measured with rain gauges from 35 meteorological stations. the coefficient of determination R2 and relative error BIAS were used as statistical indicators to evaluate the performance of GPM(global precipitation measurement) and TRMM (tropical rainfall measuring mission). [Results] GPM performed slightly better than TRMM did. The coefficient of determination R2 between satellite precipitation product and in-situ data were 0.758 2 and 0.760 7 for TRMM and GPM
the slope K were 0.810 5 and 0.833 5
respectively. Although the difference between TRMM and GPM was minor and both of them underestimated the real precipitation
accuracies of them still were relative high. [Conclusion] GPM IMERG precipitation product has potentially good application prospect in monthly scale hydrology for its high spatial resolution.
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Huffman G J, Bolvin D T, Braithwaite D, et al. Developing the integrated multi-satellite retrievals for GPM (IMERG)[J]. Acta Paulista De Enfermagem, 2012, 25(1):146-150.
商建,范学花,杨汝良.TRMM卫星测雨雷达与地基雷达的数据匹配问题研究[J].遥感技术与应用,2009,24(2):164-166.
唐国强,万玮,曾子悦,等.全球降水测量(GPM)计划及其最新进展综述[J].遥感技术与应用,2015,30(4):607-615.
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