A Comparative Analysis of TRMM-Rain Gauge Data Merging Techniques at the Daily Time Scale for Distributed Rainfall-Runoff Modeling Applications
A Comparative Analysis of TRMM-Rain Gauge Data Merging Techniques at the Daily Time Scale for Distributed Rainfall-Runoff Modeling Applications
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DOI：
10.1175/jhm-d-14-0197.1
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发表时间：
2015-10
影响因子：
3.8
通讯作者：
D. Nerini;Z. Zulkafli;Li-Pen Wang;C. Onof;W. Buytaert;Waldo Lavado-Casimiro;J. Guyot
中科院分区：
文献类型：
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作者：
D. Nerini;Z. Zulkafli;Li-Pen Wang;C. Onof;W. Buytaert;Waldo Lavado-Casimiro;J. Guyot
AbstractThis研究比较了两种非参数降雨数据合并方法的平均偏差校正和双内核平滑与两种地质统计学方法克里格与外部漂移和贝叶斯组合优化水文气象性能的卫星降水产品在中尺度热带安第斯山脉流域在秘鲁。该分析是利用热带降雨测量使命（TRMM）多卫星降水分析（TMPA）研究产品（也称为TRMM 3B42）的11年每日时间序列和国家气象站网络的173个雨量计进行的。使用1）交叉验证程序和2）流域水平衡分析和水文模型对结果进行评估。结果发现，双核平滑方法提供了最一致的改进，在交叉验证和水文评估的原始卫星产品。平均偏差校正也提高了水文性能分数，特别是...
AbstractThis study compares two nonparametric rainfall data merging methods—the mean bias correction and double-kernel smoothing—with two geostatistical methods—kriging with external drift and Bayesian combination—for optimizing the hydrometeorological performance of a satellite-based precipitation product over a mesoscale tropical Andean watershed in Peru. The analysis is conducted using 11 years of daily time series from the Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA) research product (also TRMM 3B42) and 173 rain gauges from the national weather station network. The results are assessed using 1) a cross-validation procedure and 2) a catchment water balance analysis and hydrological modeling. It is found that the double-kernel smoothing method delivered the most consistent improvement over the original satellite product in both the cross-validation and hydrological evaluation. The mean bias correction also improved hydrological performance scores, particularly...