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A cloud-ozone data product from Aura OMI and MLS satellite measurements

机译:来自Aura OMI和MLS卫星测量的云臭氧数据产品

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Ozone within deep convective clouds is controlled by several factors involving photochemical reactions and transport. Gas-phase photochemical reactions and heterogeneous surface chemical reactions involving ice, water particles, and aerosols inside the clouds all contribute to the distribution and net production and loss of ozone. Ozone in clouds is also dependent on convective transport that carries low-troposphere/boundary-layer ozone and ozone precursors upward into the clouds. Characterizing ozone in thick clouds is an important step for quantifying relationships of ozone with tropospheric H2O, OH production, and cloud microphysics/transport properties. Although measuring ozone in deep convective clouds from either aircraft or balloon ozonesondes is largely impossible due to extreme meteorological conditions associated with these clouds, it is possible to estimate ozone in thick clouds using backscattered solar UV radiation measured by satellite instruments. Our study combines Aura Ozone Monitoring Instrument (OMI) and Microwave Limb Sounder (MLS) satellite measurements to generate a new research product of monthly-mean ozone concentrations in deep convective clouds between 30 degrees S and 30 degrees N for October 2004-April 2016. These measurements represent mean ozone concentration primarily in the upper levels of thick clouds and reveal key features of cloud ozone including: persistent low ozone concentrations in the tropical Pacific of similar to 10 ppbv or less; concentrations of up to 60 pphv or greater over landmass regions of South America, southern Africa, Australia, and India/east Asia; connections with tropical ENSO events; and intraseasonal/Madden-Julian oscillation variability. Analysis of OMI aerosol measurements suggests a cause and effect relation between boundary-layer pollution and elevated ozone inside thick clouds over landmass regions including southern Africa and India/east Asia.
机译:深入对流云中的臭氧由涉及光化学反应和运输的几个因素控制。涉及冰,水颗粒和云层内的气相的气相光化学反应和异质表面化学反应均有促进臭氧的分布和净生产和损失。云中的臭氧也取决于对流传输,使低对流层/边界层臭氧和臭氧前体向上携带到云中。在厚云中表征臭氧是量化臭氧与对流层H2O,OH生产和云微物质/运输性能的重要步骤。虽然由于与这些云相关的极端气象条件,从飞机或气球臭氧的深度对流云中测量臭氧是很大的,但由于与这些云相关的极端气象条件,但可以使用卫星仪器测量的反向散射的太阳能UV辐射来估计厚云中的臭氧。我们的研究结合了Aura臭氧监测仪器(OMI)和微波肢体声音(MLS)卫星测量,以在2016年10月30日至4月30日至4月30日之间的深入对流云中产生每月平均臭氧浓度的新研究产品。这些测量主要代表了平均臭氧浓度,主要是厚云的上层,并揭示了云臭氧的关键特征,包括:热带太平洋的持续低臭氧浓度,类似于10 ppbv或更低;在南美洲,南部非洲,澳大利亚和印度/东亚的陆地区,高达60 PPHV或更大的浓度。与热带ENSO事件的联系;和暂时的/致朱莲振荡变异性。 OMI气溶胶测量分析表明边界层污染与覆盖覆盖覆盖覆盖的原因及效应关系,包括南非和印度/东亚的陆地区。

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