Statistical and Hydrological Evaluations of Multi-Satellite Precipitation Products over Fujiang River Basin in Humid Southeast China
Statistical and Hydrological Evaluations of Multi-Satellite Precipitation Products over Fujiang River Basin in Humid Southeast China
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湿润东南部涪江流域多卫星降水产品统计与水文评价
DOI：
10.3390/rs10121898
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发表时间：
2018-11
期刊：
影响因子：
5
通讯作者：
Weiyue Li
中科院分区：
文献类型：
--
作者：
Weiwei Sun;Jun Ma;Gang Yang;Weiyue Li
摘要利用热带降雨测量任务（TRMM）多卫星降水分析（TMPA）产品（3B42V7）、近实时产品（3B42RT）、气候预测中心（CPC） MORPHing技术（CMORPH）星规合并产品（CMORPH BLD）和偏差校正产品（CMORPH CRT）等四种常用卫星降水产品，对中国涪江流域的降水质量和水文效用进行了评价。首先，在多个时空尺度上对四种降水产品进行了统计评估。结果表明：(1)除3B42RT外，其余产品均较好地反映了年降水的空间格局；(2)总体而言，CMORPH BLD受益于概率密度函数-最优插值（PDF-OI）规范调整算法的应用，在网格和流域尺度上的Pearson相关系数（CC）分别为0.84和0.94，公平威胁得分（ETS）分别为0.56和0.63，在所有产品中表现最佳，其次是3B42V7和CMORPH CRT；而3B42RT在所有指标上表现最差；(3)从降水发生频率来看，卫星估算主要落在0 ~ 1 mm/d区间，且容易低估轻降水。此外，在网格和流域尺度上，所有产品在暖季的性能都远好于冷季。随后，建立了一个基于物理的分布式模型，以进一步评估不同降水产品的水文效用。结果表明：(1)降水产品的误差主要传播到水文模拟中，导致CMORPH BLD在日尺度和月尺度上的水文表现最佳，而3B42RT对日观测水文的再现能力有限；(2)用各自的卫星数据重新定标模型后，所有产品都有显著改善；(3) CMORPH BLD在近实时洪水监测中不再具有优势。目前基于卫星的估算方法在局部洪水监测中的应用还面临着很大的挑战。这项研究可以作为指导，为当地社区的水文应用选择替代卫星降水产品，特别是在雨量计稀缺的流域。
The purpose of the paper is to evaluate the quality and hydrological utility of four popular satellite precipitation products, including the Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA) product (3B42V7), near real-time product (3B42RT), and the Climate Prediction Center (CPC) MORPHing technique (CMORPH) satellite–gauge merged product (CMORPH BLD) and bias-corrected product (CMORPH CRT) over Fujiang River basin, China. First, we provided a statistical assessment of the four precipitation products at multiple spatiotemporal scales. The results show that: (1) all the products except 3B42RT capture the spatial pattern of annual precipitation fairly well; (2) in general, CMORPH BLD benefits from the application of the probability density function-optimal interpolation (PDF-OI) gauge adjustment algorithm and performs best among all the products with Pearson correlation coefficients (CC) of 0.84 and 0.94, equitable threat score (ETS) of 0.56 and 0.63 in grid and basin scales, respectively, followed by 3B42V7 and CMORPH CRT; whereas 3B42RT performs worst across all the metrics; (3) according to the occurrence frequencies of rainfall, satellite estimates mainly fall into the bin of 0–1 mm/day and tend to underestimate light precipitation. In addition, the performance of all the products in warm season is much better than in cold season in both grid and basin scales. Subsequently, a physically based distributed model is established to further evaluate the hydrological utility of different precipitation products. The results reveal that: (1) the errors in precipitation products mainly propagate into hydrological simulations, resulting in the best hydrological performance in CMORPH BLD in both daily and monthly scales after recalibrating the model, while 3B42RT shows limited skills in reproducing the daily observed hydrograph; (2) after recalibrating the model with the respective satellite data, significant improvements are observed for all the products; (3) CMORPH BLD no longer shows its superiority during near-real-time monitoring of floods. There is still a great challenge for the application of current satellite-based estimates into local flood monitoring. This study could be used as guidance for choosing alternative satellite precipitation products for hydrological applications in a local community, particularly in basins in which rainfall gauges are scarce.
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