首页> 外文期刊>Journal of Geophysical Research, D. Atmospheres: JGR >Estimating the uncertainty of using GPS radio occultation data for climate monitoring: Intercomparison of CHAMP refractivity climate records from 2002 to 2006 from different data centers
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Estimating the uncertainty of using GPS radio occultation data for climate monitoring: Intercomparison of CHAMP refractivity climate records from 2002 to 2006 from different data centers

机译:估计使用GPS无线电掩星数据进行气候监测的不确定性:不同数据中心2002年至2006年CHAMP折射率气候记录的比对

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摘要

To examine the suitability of GPS radio occultation (RO) observations as a climate benchmark data set, this study aims at quantifying the structural uncertainty in GPS RO-derived vertical profiles of refractivity and measured refractivity trends obtained from atmospheric excess phase processing and inversion procedures. Five years (2002-2006) of monthly mean climatologies (MMC) of retrieved refractivity from the experiment aboard the German satellite CHAMP generated by four RO operational centers were compared. Results show that the absolute values of fractional refractivity anomalies among the centers are, in general, <0.2% from 8 to 25 km altitude. The median absolute deviations among the centers are less than 0.2% globally. Because the differences in fractional refractivity produced by the four centers are, in general, unchanging with time, the uncertainty of the trend for fractional refractivity anomalies among centers is ±0.04% per 5 years globally. The primary cause of the trend uncertainty is due to different quality control methods used by the four centers, which yield different sampling errors for different centers. We used the National Centers for Environmental Prediction reanalysis in the same period to estimate sampling errors. After removing the sampling errors, the uncertainty of the trend for fractional refractivity anomalies among centers is between —0.03 and 0.01% per 5 years. Thus 0.03% per 5 years can be considered an upper bound in the processing scheme—induced uncertainty for global refractivity trend monitoring. Systematic errors common to all centers are not discussed in this article but are generally believed to be small.
机译:为了检验GPS无线电掩星(RO)观测作为气候基准数据集的适用性,本研究旨在量化GPS RO衍生的垂直折射率剖面的结构不确定性,以及从大气过量相处理和反演程序获得的实测折射率趋势。比较了四个RO运营中心在德国CHAMP卫星上进行的实验得出的五年(2002-2006年)月平均折射率(MMC)。结果表明,从8至25 km的高度,这些中心之间的分数折射率异常的绝对值通常<0.2%。各个中心之间的中值绝对偏差在全球范围内小于0.2%。由于这四个中心所产生的分数折射率的差异通常不会随时间变化,因此全球各中心之间分数分数异常趋势的不确定性每5年为±0.04%。趋势不确定性的主要原因是由于四个中心使用了不同的质量控制方法,从而对不同的中心产生了不同的采样误差。在同一时期,我们使用了国家环境预测中心的重新分析来估计抽样误差。消除采样误差后,中心之间的分数折射率异常趋势的不确定度在每5年-0.03至0.01%之间。因此,每5年0.03%可被认为是处理方案的上限-导致全局折射率趋势监视的不确定性。本文不讨论所有中心常见的系统错误,但通常认为这些错误很小。

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