Global carbonyl sulfide (OCS) measured by MIPAS/Envisat during 2002–2012
Global carbonyl sulfide (OCS) measured by MIPAS/Envisat during 2002–2012
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2002-2012 年 MIPAS/Envisat 测量的全球羰基硫 (OCS)
DOI：
10.5194/acp-17-2631-2017
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发表时间：
2016
影响因子：
6.3
通讯作者：
K. Walker
中科院分区：
文献类型：
--
作者：
N. Glatthor;M. Höpfner;A. Leyser;G. Stiller;T. Clarmann;U. Grabowski;S. Kellmann;A. Linden;B. Sinnhuber;G. Krysztofiak;K. Walker
抽象的。我们提出了一个全球性的硫化羰（OCS）的数据集，涵盖了2002年6月至2012年4月，来自FTIR（傅里叶变换红外）的肢体发射光谱测量与迈克尔逊干涉仪被动大气探测（MIPAS）的ENVISAT卫星。垂直分辨率在6-15公里高度区域为4-5公里，在40公里高度区域为15公里。总的估计误差在10至20公里之间为40-50 pptv，在40公里高度为120 pptv。MIPAS OCS数据显示球囊观察结果无系统偏倚，偏差大多低于±50 pptv。然而，它们系统地高于SCISAT上ACE-FTS仪器的接触网体积混合比，在13-16公里的高度区域最大偏差高达100 pptv。MIPAS OCS的数据集只有中等的年际变化和低的半球间差异。在10公里高空的平均浓度从高纬度的480 pptv到热带和北方中纬度的500-510 pptv不等。在北方，10公里高度的季节变化高达35 pptv，在南半球高达15 pptv。北方半球外大陆架丰度在10公里高度的高峰在6月的热带和10月左右的高纬度地区，而相应的南半球的最大值在7月和11月。全球外大陆架在250 hPa（10-11 km）的分布在低纬度地区表现出增强的值，在北半球夏季在西太平洋和印度洋上空达到峰值，这表明海洋释放。此外，在这个海拔高度，这是最明显的南半球的夏天，从巴西延伸到中部和南部非洲的耗尽OCS量的区域。这种消耗与热带森林季节性变化的植物吸收有关。生物质燃烧的典型特征，如南半球的生物质燃烧羽流是不可见的MIPAS的数据，表明这一过程只是一个小源对流层上层接触CS。在150 hPa（13-14 km）高度上，亚洲季风反气旋内部也观测到OCS的增强，但这种增强与同高度上的其他低纬地区相比并不特别显著。在80 hPa（17-18 km），夏季反气旋周围的中纬度空气质量的赤道输送包含较低的OCS量被观察到。一个显着的趋势，无法检测到对流层上层MIPAS OCS量，这表明全球平衡的源和汇。ECHAM-MESSy模式的模拟相当好地再现了观测到的纬向横截面。
Abstract. We present a global carbonyl sulfide (OCS) data set covering the period June 2002 to April 2012, derived from FTIR (Fourier transform infrared) limb emission spectra measured with the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) on the ENVISAT satellite. The vertical resolution is 4–5 km in the height region 6–15 km and 15 at 40 km altitude. The total estimated error amounts to 40–50 pptv between 10 and 20 km and to 120 pptv at 40 km altitude. MIPAS OCS data show no systematic bias with respect to balloon observations, with deviations mostly below ±50 pptv. However, they are systematically higher than the OCS volume mixing ratios of the ACE-FTS instrument on SCISAT, with maximum deviations of up to 100 pptv in the altitude region 13–16 km. The data set of MIPAS OCS exhibits only moderate interannual variations and low interhemispheric differences. Average concentrations at 10 km altitude range from 480 pptv at high latitudes to 500–510 pptv in the tropics and at northern mid-latitudes. Seasonal variations at 10 km altitude amount to up to 35 pptv in the Northern and up to 15 pptv in the Southern Hemisphere. Northern hemispheric OCS abundances at 10 km altitude peak in June in the tropics and around October at high latitudes, while the respective southern hemispheric maxima were observed in July and in November. Global OCS distributions at 250 hPa (∼ 10–11 km) show enhanced values at low latitudes, peaking during boreal summer above the western Pacific and the Indian Ocean, which indicates oceanic release. Further, a region of depleted OCS amounts extending from Brazil to central and southern Africa was detected at this altitude, which is most pronounced in austral summer. This depletion is related to seasonally varying vegetative uptake by the tropical forests. Typical signatures of biomass burning like the southern hemispheric biomass burning plume are not visible in MIPAS data, indicating that this process is only a minor source of upper tropospheric OCS. At the 150 hPa level (∼ 13–14 km) enhanced amounts of OCS were also observed inside the Asian monsoon anticyclone, but this enhancement is not especially outstanding compared to other low latitude regions at the same altitude. At the 80 hPa level (∼ 17–18 km), equatorward transport of mid-latitude air masses containing lower OCS amounts around the summertime anticyclones was observed. A significant trend could not be detected in upper tropospheric MIPAS OCS amounts, which points to globally balanced sources and sinks. Simulations with the ECHAM-MESSy model reproduce the observed latitudinal cross sections fairly well.
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影响因子：
6.3
作者：
G. Stiller;T. Clarmann;F. Haenel;B. Funke;N. Glatthor;U. Grabowski;S. Kellmann;M. Kiefer;A. Linden
通讯作者：
G. Stiller;T. Clarmann;F. Haenel;B. Funke;N. Glatthor;U. Grabowski;S. Kellmann;M. Kiefer;A. Linden
DOI：
10.1016/j.jqsrt.2013.07.002
发表时间：
2013-11-01
影响因子：
2.3
作者：
Rothman, L. S.;Gordon, I. E.;Wagner, G.
通讯作者：
Wagner, G.
影响因子：
5.2
作者：
S. Kremser;N. Jones;M. Palm;B. Lejeune;Yuting Wang;D. Smale;N. Deutscher
通讯作者：
S. Kremser;N. Jones;M. Palm;B. Lejeune;Yuting Wang;D. Smale;N. Deutscher
影响因子：
6.3
作者：
Lennartz, Sinikka T.;Marandino, Christa A.;Kruger, Kirstin
通讯作者：
Kruger, Kirstin