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首页> 外文期刊>Journal of Geodesy >Use of atmospheric angular momentum forecasts for UT1 predictions: analyses over CONT08
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Use of atmospheric angular momentum forecasts for UT1 predictions: analyses over CONT08

机译:将大气角动量预报用于UT1预报:对CONT08的分析

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Real-time orbit determination and interplanetary navigation require accurate predictions of the orientation of the Earth in the celestial reference frame and in particular that for Universal Time UT1. Much of the UT1 variations over periods ranging from hours to a couple of years are due to the global atmospheric circulation. Therefore, the axial atmospheric angular momentum (AAM) forecast series may be used as a proxy index to predict UT1. Our approach taking advantage of this fact is based on an adaptive procedure. It involves incorporating integrations of AAM estimates into UT1 series. The procedure runs on a routine basis using AAM forecasts that are based on the two meteorological series, from the US National Centers for Environmental Prediction and the Japan Meteorological Agency. It is pertinent to test the prediction method for the period that includes the special CONT08 campaign over which we expect a significant improvement in UT1 accuracy. The studies we carried out were aimed both to compare atmospheric forecasts and analyses, as well as to compare the skills of the UT1 forecasts based on the method with atmospheric forecasts and that using current statistical processes, as applied to the C04 Earth orientation parameters series derived by the International Earth rotation and Reference Systems service (IERS). Here we neglect the oceanic sub-diurnal and diurnal variations, as these signals are expected to be smaller than the UT1-equivalent of 100|xs, when averaged over a few days. The prediction performances for a 2-day forecast are similar, but at a forecast horizon of a week, the AAM-based forecast is roughly twice as skillful as the statistically based one.
机译:实时轨道确定和行星际导航需要精确预测天体参考系中的地球方向,尤其是对于世界时UT1。从几小时到几年不等的UT1变化大部分是由于全球大气环流引起的。因此,轴向大气角动量(AAM)预测序列可以用作预测UT1的代理指标。我们利用这一事实的方法是基于自适应过程。它涉及将AAM评估的集成合并到UT1系列中。该程序使用来自美国国家环境预测中心和日本气象厅的两个气象系列的AAM预报,以常规方式运行。有必要测试包括特殊CONT08活动在内的一段时间内的预测方法,在此期间我们预计UT1准确性会显着提高。我们进行的研究旨在比较大气预测和分析,以及将基于该方法的UT1预测技术与大气预测以及使用当前统计过程进行比较,并将其应用于导出的C04地球定向参数系列由国际地球自转和参考系统服务(IERS)提供。在这里,我们忽略了海洋的昼夜变化和昼夜变化,因为当几天平均后,这些信号预计小于UT1等效的100 | xs。 2天预测的预测性能相似,但是在一周的预测范围内,基于AAM的预测大约是基于统计的预测的两倍。

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