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首页> 外文期刊>Hydrology and Earth System Sciences >Does the GPM mission improve the systematic error component in satellite rainfall estimates over TRMM? An evaluation at a pan-India scale
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Does the GPM mission improve the systematic error component in satellite rainfall estimates over TRMM? An evaluation at a pan-India scale

机译：GPM任务是否会改善TRMM卫星降雨估算中的系统误差成分？泛印度规模的评估

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The last couple of decades have seen the outburst of a number of satellite-based precipitation products with Tropical Rainfall Measuring Mission (TRMM) as the most widely used for hydrologic applications. Transition of TRMM into the Global Precipitation Measurement (GPM) promises enhanced spatio-temporal resolution along with upgrades to sensors and rainfall estimation techniques. The dependence of systematic error components in rainfall estimates of the Integrated Multi-satellitE Retrievals for GPM (IMERG), and their variation with climatology and topography, was evaluated over 86 basins in India for year 2014 and compared with the corresponding (2014) and retrospective (1998–2013) TRMM estimates. IMERG outperformed TRMM for all rainfall intensities across a majority of Indian basins, with significant improvement in low rainfall estimates showing smaller negative biases in 75 out of 86 basins. Low rainfall estimates in TRMM showed a systematic dependence on basin climatology, with significant overprediction in semi-arid basins, which gradually improved in the higher rainfall basins. Medium and high rainfall estimates of TRMM exhibited a strong dependence on basin topography, with declining skill in higher elevation basins. The systematic dependence of error components on basin climatology and topography was reduced in IMERG, especially in terms of topography. Rainfall-runoff modeling using the Variable Infiltration Capacity (VIC) model over two flood-prone basins (Mahanadi and Wainganga) revealed that improvement in rainfall estimates in IMERG did not translate into improvement in runoff simulations. More studies are required over basins in different hydroclimatic zones to evaluate the hydrologic significance of IMERG.
机译：在过去的几十年中，热带雨量测量任务（TRMM）被广泛用于水文应用，出现了许多基于卫星的降水产品的爆发。 TRMM向全球降水量测量（GPM）的过渡保证了时空分辨率的提高以及传感器和降雨估算技术的升级。对印度2014年超过86个盆地进行了评估，综合系统误差成分对GPM综合多卫星反演（IMERG）降雨估算的依赖性及其随气候和地形的变化，并与相应的（2014）和回顾性进行了比较（1998-2013年）TRMM估算。在印度大部分流域的所有降雨强度上，IMERG的表现均优于TRMM，低降水量估计值的显着改善表明86个流域中有75个流域的负偏差较小。 TRMM的低降雨量估计值显示出对流域气候的系统性依赖，半干旱盆地存在明显的过度预测，高降雨量盆地逐渐改善。 TRMM的中等和高降雨量估计值对盆地地形表现出强烈的依赖性​​，而在高海拔盆地中的技巧却在下降。 IMERG减少了误差成分对流域气候和地形的系统依赖性，特别是在地形方面。在两个易发洪水的盆地（马哈纳迪和瓦因加加）上使用可变渗透能力（VIC）模型进行降雨径流模型，结果表明，IMERG中降雨估算的改善并未转化为径流模拟的改善。需要对不同水文气候带的盆地进行更多的研究，以评估IMERG的水文意义。

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