This study investigates the applicability of Satellite Precipitation Products (SPPs) in near real-time for the simulation of sub-daily runoff in the Vilcanota River basin, located in the southeastern Andes of Peru. The data from rain gauge stations are used to evaluate the quality of Integrated Multi-satellite Retrievals for GPM–Early (IMERG-E), Global Satellite Mapping of Precipitation–Near Real-Time (GSMaP-NRT), Climate Prediction Center Morphing Method (CMORPH), and HydroEstimator (HE) at the pixel-station level; and these SPPs are used as meteorological inputs for the hourly hydrological modeling. The GR4H model is calibrated with the hydrometric station of the longest record, and model simulations are also verified at one station upstream and two stations downstream of the calibration point. Comparing the sub-daily precipitation data observed, the results show that the IMERG-E product generally presents higher quality, followed by GSMaP-NRT, CMORPH, and HE. Although the SPPs present positive and negative biases, ranging from mild to moderate, they do represent the diurnal and seasonal variability of the hourly precipitation in the study area. In terms of the average of Kling-Gupta metric (KGE), the GR4H_GSMaP-NRT’ yielded the best representation of hourly discharges (0.686), followed by GR4H_IMERG-E’ (0.623), GR4H_Ensemble-Mean (0.617) and GR4H_CMORPH’ (0.606), and GR4H_HE’ (0.516). Finally, the SPPs showed a high potential for monitoring floods in the Vilcanota basin in near real-time at the operational level. The results obtained in this research are very useful for implementing flood early warning systems in the Vilcanota basin and will allow the monitoring and short-term hydrological forecasting of floods by the Peruvian National Weather and Hydrological Service.

中文翻译：

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评估秘鲁安第斯山脉稀疏集水区次日尺度洪水模拟的近实时卫星降水产品

这项研究调查了卫星降水产品（SPPs）在秘鲁安第斯山脉东南部Vilcanota河流域的次日径流模拟中的实时性。雨量计站的数据用于评估GPM早期综合多卫星检索（IMERG-E），全球降水近实时卫星制图（GSMaP-NRT），气候预测中心变形方法的质量（ CMORPH）和HydroEstimator（HE）在像素站级别；这些SPP被用作每小时水文模型的气象输入。GR4H模型是用最长记录的水文站进行校准的，模型仿真也在校准点的上游一个站和下游两个站进行了验证。比较观察到的次日降水数据，结果表明，IMERG-E产品通常具有更高的质量，其次是GSMaP-NRT，CMORPH和HE。尽管SPP呈现正偏差和负偏差，范围从轻度到中度，但它们确实代表了研究区域每小时降水量的日变化和季节性变化。就Kling-Gupta度量标准（KGE）的平均值而言，GR4H_GSMaP-NRT'表示小时排放的最佳表示形式（0.686），其次是GR4H_IMERG-E'（0.623），GR4H_Ensemble-Mean（0.617）和GR4H_CMORPH'（ 0.606）和GR4H_HE'（0.516）。最后，SPP具有很高的潜力，可在运营水平上实时监控Vilcanota流域的洪水。