首页> 外文会议>International Geoscience and Remote Sensing Symposium >A LONG-TERM TREND OBSERVED IN TRMM/PR MONTHLY RAINFALL PRODUCTS AND AN EVALUATION OF SAMPLING ERROR BY A BOOTSTRAP METHOD
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A LONG-TERM TREND OBSERVED IN TRMM/PR MONTHLY RAINFALL PRODUCTS AND AN EVALUATION OF SAMPLING ERROR BY A BOOTSTRAP METHOD

机译:在TRMM / PR每月降雨产品中观察到的长期趋势和通过引导方法评估采样误差

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This study examines the trend in the 7-year monthly rainfall amounts (September 2001-August 2008) observed by the TRMM Precipitation Radar (PR). It is shown that the monthly rainfall amounts averaged in the range of 35°S to 35°N (PR observation range) tend to increase slightly over this period. This tendency can be considered to be affected by sampling errors due to the narrow observation swaths of the PR, in addition to natural variations. Therefore, this study developed the method of evaluating the sampling errors by a bootstrap method using the actual data observed by the PR. We examined the trend in the averaged rainfall amounts during 7 years considering the simulated sampling errors. As a result, the positive trend was significantly detected, even when sampling error was removed. From this, it can be concluded that this positive trend is highly likely to be due to natural variations.
机译:本研究探讨了TRMM降水雷达(PR)观察到7年的月度降雨量(2001年9月 - 2008年8月)的趋势。结果表明,在35°S至35°N(PR观察范围)范围内的每月降雨量趋于在此期间略微增加。除了自然变化之外,由于PR的狭窄观察误差,可以认为这种趋势受到采样误差的影响。因此,本研究开发了使用PR观察到的自动数据来评估采样误差的方法。在考虑模拟的采样误差,我们在7年内检查了平均降雨量的趋势。结果,即使在去除采样误差时,显着检测到正趋势。由此,可以得出结论,这种积极趋势很可能是由于自然变化。

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