陈晓宏,钟睿达,王兆礼,赖成光,陈家超.新一代GPM IMERG卫星遥感降水数据在中国南方地区的精度及水文效用评估[J].水利学报,2017,48(10):1147-1156 |
新一代GPM IMERG卫星遥感降水数据在中国南方地区的精度及水文效用评估 |
Evaluation on the accuracy and hydrological performance of the latest-generation GPM IMERG product over South China |
投稿时间:2017-03-10 |
DOI:10.13243/j.cnki.slxb.20170202 |
中文关键词: 卫星遥感降水数据 GPM IMERG 水文效用 VIC水文模型 北江流域 |
英文关键词: satellite-based precipitation product GPM IMERG hydrological utility VIC hydrological mod-el Beijiang River Basin |
基金项目:国家自然科学基金项目(51579105,91547202);广州市科技计划项目(201707010072);广东省科技计划项目(2017A040405020) |
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中文摘要: |
新一代GPM(Global Precipitation Measurement)IMERG(Integrated Multi-satellitE Retrievals for GPM)卫星遥感反演降水数据产品提供了覆盖范围更大、精度和时空分辨率更高的新的降水数据来源。本文以北江流域为例,基于高精度融合降水数据产品定量评估了新一代准实时"early-run"和"late-run"IMERG产品(IMERG-E和IMERG-L)以及非实时后处理的"final-run"IMERG产品(IMERG-F)的精度,并结合VIC(Variable Infiltration Capac-ity)分布式水文模型评估了该系列产品的水文效用。结果表明:(1)研究区域内非实时IMERG-F产品有着较高的精度,网格尺度上日尺度相关系数为0.65,相对偏差为5.87%,优于上一代3B42-V7产品,而准实时的IMERG-E及IMERG-L产品的日相关系数则为0.6左右,精度同样令人满意;流域平均尺度上各产品精度均进一步提高;(2)情景I(基于站点观测降雨数据率定模型)的水文模拟结果表明,非实时IMERG-F产品表现出较好的水文效用,纳西效率系数为0.622;准实时的IMERG-E及IMERG-L产品虽总体上表现较差,但在汛期表现较好,说明该产品有应用于短期洪水预报的潜力;(3)情景Ⅱ(基于3B42-V7数据率定模型)的结果表明,各IMERG产品的水文模拟表现均有显著改善,说明3B42历史数据适合在使用IMERG产品进行水文模拟时用于水文模型率定。 |
英文摘要: |
Latest-generation GPM (Global Precipitation Measurement) IMERG (Integrated Multi-satellitE Re-trievals for GPM) satellite-based precipitation quantitative estimation products provide a new source of pre-cipitation data. This study evaluates the accuracy and performance of the near-real-time "early run" and "late run" IMERG products (here after IMERG-E and IMERG-L) and the post-real-time "final run" IMERG product (here after IMERG-F) and evaluates the hydrological performance of the three IMERG products with the VIC (Variable Infiltration Capacity) distributed hydrological model during 2014-2016 over the Beijiang River Basin, a mid-size basin in South China. The results show that:(1) The post-real-time IMERG-F product presents acceptable accuracy over the study area, with relatively high daily CC (correla-tion coefficient) of 0.65 at the gridcell scale,relatively low BIAS (relative bias) of 5.87%,while the accu-racy of the near-real-time IMERG-E and IMERG-L products is relatively poorer but is still satisfactory, with CCs of approximately 0.6; performances of the 3 products are apparently improved at the basin scale. (2) Under the scenario I (VIC model calibrated by gauge data) in the hydrological simulation evaluation, post-real-time IMERG-F product presents satisfactory hydrological performance,with high NSCE (Nash-Sut-cliffe Coefficient of Efficiency) of 0.622; by comparison, near-real-time IMERG-E and IMERG-L present poorer hydrological performance, but perform well specially during the flood season (May to September) of 2015,indicating that the potential for the flood forecasting of the near-real-time IMERG products;(3) Un-der the scenario Ⅱ (model recalibrated by the TMPA 3B42-V7 data), hydrological performances of the three IMERG products are all significantly improved,indicating that the 3B42 data is suitable for the mod-el calibration when simulating with the IMERG products. |
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