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Monthly mean large-scale analyses of upper-tropospheric humidity and wind field divergence derived from three geostationary satellites

机译:来自三颗对地静止卫星的对流层上层湿度和风场散度的月平均大规模分析

摘要

This paper describes the results from a collaborative study between the European Space Operations Center, the European Organization for the Exploitation of Meteorological Satellites, the National Oceanic and Atmospheric Administration, and the Cooperative Institute for Meteorological Satellite Studies investigating the relationship between satellite-derived monthly mean fields of wind and humidity in the upper troposphere for March 1994. Three geostationary meteorological satellites GOES-7, Meteosat-3, and Meteosat-5 are used to cover an area from roughly 160 deg W to 50 deg E. The wind fields are derived from tracking features in successive images of upper-tropospheric water vapor (WV) as depicted in the 6.5-micron absorption band. The upper-tropospheric relative humidity (UTH) is inferred from measured water vapor radiances with a physical retrieval scheme based on radiative forward calculations. Quantitative information on large-scale circulation patterns in the upper-troposphere is possible with the dense spatial coverage of the WV wind vectors. The monthly mean wind field is used to estimate the large-scale divergence; values range between about-5 x 10(exp -6) and 5 x 10(exp 6)/s when averaged over a scale length of about 1000-2000 km. The spatial patterns of the UTH field and the divergence of the wind field closely resemble one another, suggesting that UTH patterns are principally determined by the large-scale circulation. Since the upper-tropospheric humidity absorbs upwelling radiation from lower-tropospheric levels and therefore contributes significantly to the atmospheric greenhouse effect, this work implies that studies on the climate relevance of water vapor should include three-dimensional modeling of the atmospheric dynamics. The fields of UTH and WV winds are useful parameters for a climate-monitoring system based on satellite data. The results from this 1-month analysis suggest the desirability of further GOES and Meteosat studies to characterize the changes in the upper-tropospheric moisture sources and sinks over the past decade.
机译:本文介绍了欧洲太空运行中心,欧洲气象卫星开发组织,美国国家海洋与大气管理局和气象卫星合作研究机构之间的一项合作研究结果,该研究调查了卫星衍生的月均值之间的关系1994年3月对流层高层的风和湿度场。使用三颗对地静止气象卫星GOES-7,Meteosat-3和Meteosat-5覆盖了大约160度西风到50度西风的区域。来自对流层上水蒸气(WV)的连续图像中的跟踪特征,如6.5微米吸收带中所述。对流层上层相对湿度(UTH)是通过基于辐射前向计算的物理检索方案,根据测得的水蒸气辐射率推断出来的。利用WV风矢量的密集空间覆盖,有可能获得关于对流层高层大气环流模式的定量信息。月平均风场用于估计大范围的散度;当在约1000-2000 km的刻度长度上取平均值时,该值的范围介于约5 x 10(exp -6)和5 x 10(exp 6)/ s之间。 UTH场的空间模式和风场的发散彼此非常相似,这表明UTH模式主要由大规模的环流确定。由于对流层上方的湿度吸收了对流层较低层的上升流辐射,因此对大气温室效应起了重要作用,因此这项工作意味着对水蒸气与气候的相关性的研究应包括大气动力学的三维建模。 UTH和WV风场是基于卫星数据的气候监测系统的有用参数。这项为期1个月的分析结果表明,需要进行进一步的GOES和Meteosat研究,以表征过去十年来对流层高层水源和汇的变化。

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