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Analysis of the IMERG-GPM Precipitation Product Analysis in Brazilian Midwestern Basins Considering Different Time and Spatial Scales
Water ( IF 3.4 ) Pub Date : 2022-08-10 , DOI: 10.3390/w14162472
Luíza Virgínia Duarte , Klebber Teodomiro Martins Formiga , Veber Afonso Figueiredo Costa

Precipitation products derived from satellites have emerged as a promising approach for obtaining precipitation estimates, enabling accurate long-term observations and describing the water cycle dynamics from a global scale to a local scale. The quality of these products has improved significantly in the last decades, especially with the emergence of TRMM missions and its successor GPM. The objective of this study was to evaluate the daily, monthly and annual precipitation estimates provided by IMERG version 05 of the GPM, with the data observed by the rainfall stations of the Brazilian Agency of Water and Sanitation (ANA) in the basins of the Brazilian midwest. In order to compare the data, the spatialization of the data of the rainfall stations was performed by means of the ordinary kriging technique, interpolating the data for grids of 0.1° × 0.1° that correspond to the specialized grids of the GPM satellite. The data were evaluated quantitatively by means of statistical metrics. The GPM satellite precipitation product performed relatively well on a daily scale for regions with smooth topography, and was able to describe the rainfall regime on larger time scales, regardless of the terrain conditions. However, the satellite retrievals were unable to reproduce rainfall extremes in virtually all situations, which may limit their application in frequency analyses.

中文翻译:

考虑不同时空尺度的巴西中西部盆地IMERG-GPM降水产物分析

来自卫星的降水产品已成为获得降水估计、实现准确的长期观测和描述从全球尺度到局部尺度的水循环动态的有前途的方法。在过去的几十年中,这些产品的质量有了显着提高,尤其是随着 TRMM 任务及其继任者 GPM 的出现。本研究的目的是评估 IMERG 第 05 版 GPM 提供的日、月和年降水量估算值,以及巴西水和卫生署 (ANA) 在巴西流域的降雨站观测到的数据。中西部。为了比较数据,降雨站数据的空间化是通过普通克里金技术进行的,对0.1°×0的网格数据进行插值。1° 对应于 GPM 卫星的专用网格。通过统计指标对数据进行定量评估。对于地形平坦的地区,GPM 卫星降水产品在每日尺度上的表现相对较好,并且能够在更大的时间尺度上描述降雨情况,而不受地形条件的影响。然而,卫星反演几乎无法在所有情况下重现极端降雨,这可能会限制它们在频率分析中的应用。无论地形条件如何。然而,卫星反演几乎无法在所有情况下重现极端降雨,这可能会限制它们在频率分析中的应用。无论地形条件如何。然而,卫星反演几乎无法在所有情况下重现极端降雨,这可能会限制它们在频率分析中的应用。
更新日期:2022-08-10
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