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Quality Assessment of Atmospheric Motion Vectors Over the Indian Ocean

机译:印度洋上大气运动矢量的质量评估

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Because conventional observations over the oceans are not available, especially during tropical cyclones, multi-spectral atmospheric motion vectors (AMVs) estimated from geostationary satellites are routinely assimilated in the numerical weather prediction models at different operational centres across the globe. The derived AMVs are generally validated with radiosonde observations available over land at synoptic hours; however, over the ocean there is a limited scope to assess the quality of AMVs. Over ocean, AMVs can be validated with radiosonde data available from opportunistic ships or using dropsonde data available from aircrafts. In this study, the accuracy of the AMVs derived from the geostationary satellites Kalpana-1 and Meteosat-7 is evaluated over the oceanic region. Radiosonde data available from a ship cruise held in the Bay of Bengal during the period 09 July-08 August 2012 and from the Cal/Val site situated at Kavaratti Island (72.62oE, 10.57oN) in the southern Indian Ocean are used to assess the AMV accuracy. In this study, 83 radiosonde profiles are used to validate the Kalpana-1 AMVs, to allow a better understanding of AMV errors over the Indian Ocean. The RMSVD of Kalpana-1 AMVs for the high-, mid- and low-levels are found to be 7.9, 9.4 and 5.3 m s~(-1), respectively, while the corresponding RMSVD for Meteosat-7 AMVs are 9.1, 5.5 and 3.7 m s~(-1). A similar accuracy is observed when the AMVs are validated against the NCEP analyses collocated with the nearest radiosonde locations. The high RMSVD and bias for Kalpana-1 AMVs at the mid-level and Meteosat-7 AMVs at the high-level are associated with the limitation of satellite winds to resolve the upper-level easterly jet in conjunction with errors in the height assignment. This study could help the numerical modellers to assign appropriate observation error over this region during the assimilation of AMVs into the NWP models.
机译:由于无法获得有关海洋的常规观测资料,尤其是在热带气旋期间,因此,在全球不同业务中心的数值天气预报模型中,通常会将对地静止卫星估算的多光谱大气运动向量(AMV)常规化。通常使用天气探空仪在陆地上可获得的无线电探空仪观测值对派生的AMV进行验证。但是,在海洋上,评估AMV的质量范围有限。在海洋上,可以使用机会主义船只提供的无线电探空仪数据或飞机提供的探空仪数据来验证AMV。在这项研究中,评估了来自大地静止卫星Kalpana-1和Meteosat-7的AMV的准确性。 2012年7月9日至8月8日在孟加拉湾举行的一次船舶巡游中以及从印度洋南部卡瓦拉蒂岛(72.62oE,10.57oN)的Cal / Val站获得的无线电探空仪数据用于评估AMV准确性。在这项研究中,使用83个无线电探空仪剖面图来验证Kalpana-1 AMV,以便更好地了解印度洋上的AMV错误。高,中和低水平的Kalpana-1 AMV的RMSVD分别为7.9、9.4和5.3 ms〜(-1),而Meteosat-7 AMV的相应RMSVD为9.1、5.5和1。 3.7毫秒〜(-1)。当根据与最近的探空仪位置并置的NCEP分析对AMV进行验证时,观察到相似的准确性。中层的Kalpana-1 AMV的高RMSVD和偏差以及高层的Meteosat-7 AMV的偏高与卫星风的局限性有关,以解决高层东风急流,并伴随着高度分配错误。这项研究可以帮助数值建模人员在将AMV吸收到NWP模型中的过程中,在该区域分配适当的观测误差。

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