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首页> 外文期刊>Geosciences >Performance of Remotely Sensed Soil Moisture for Temporal and Spatial Analysis of Rainfall over S?o Francisco River Basin, Brazil
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Performance of Remotely Sensed Soil Moisture for Temporal and Spatial Analysis of Rainfall over S?o Francisco River Basin, Brazil

机译：遥感土壤水分在巴西圣弗朗西斯科河流域降雨时空分析中的作用

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摘要

Variability in precipitation patterns in the northeast and southeast regions of Brazil are complex, and the combined effects of the Tropical Atlantic, Pacific Ni?os, and local characteristics influence the precipitation rates. This study assesses the performance of multi-satellite precipitation product SM2RAIN-Climate Change Initiative (SM2RAIN-CCI) for the period of 1998–2015 at monthly scale. To accomplish this aim, various statistical analyses and comparison of multi-satellite precipitation analysis products with rain gauge stations are carried out. In addition, we used three values corresponding to extreme events: The total daily precipitation (PRCPTOT) and the number of consecutive dry/wet days (CDD/CWD). Results reveal that monthly rainfall data from SM2RAIN-CCI are compatible with surface observations, showing a seasonal pattern typical of the region. Data correlate well with observations for the selected stations (r ≥ 0.85) but tend to overestimate high rainfall values (80 mm/month) in the rainy area. There is a significant decrease in rainfall to the indices, especially in PRCPTOT during the occurrence of tropical ocean–atmosphere interactions, reflecting CWD and CDD values. Moreover, our findings also indicate a relationship, at interannual timescales, between the state of El Ni?o Southern-Oscillation (ENSO) and Tropical Atlantic (TA) annual precipitation variability from 1998 to 2015. The SM2RAIN-CCI could be a useful alternative for rain-gauge precipitation data in the S?o Francisco River basin.
机译：巴西东北和东南部地区降水模式的变化是复杂的，热带大西洋，太平洋尼古斯和当地特征的综合影响会影响降水率。这项研究以月度尺度评估了1998-2015年期间多卫星降水产品SM2RAIN-气候变化倡议（SM2RAIN-CCI）的绩效。为了实现这一目标，对具有雨量计站的多卫星降水分析产品进行了各种统计分析和比较。此外，我们使用了与极端事件相对应的三个值：日总降水量（PRCPTOT）和连续的干/湿天数（CDD / CWD）。结果表明，SM2RAIN-CCI的月度降雨数据与地表观测结果吻合，显示了该地区的典型季节性模式。数据与所选站点的观测值高度相关（r≥0.85），但往往会高估雨季的高降雨值（> 80 mm /月）。指数的降雨显着减少，特别是在热带海洋-大气相互作用发生期间的PRCPTOT，反映了CWD和CDD值。此外，我们的发现还表明，从1998年到2015年，厄尔尼诺南方涛动（ENSO）和热带大西洋（TA）的年降水量变化在每年的时间尺度上都有关系。SM2RAIN-CCI可能是一个有用的替代方法在圣弗朗西斯科河盆地的雨量计降水数据。

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