Comparison of nitric oxide measurements in the mesosphere and lower thermosphere from ACE-FTS, MIPAS, SCIAMACHY, and SMR
Comparison of nitric oxide measurements in the mesosphere and lower thermosphere from ACE-FTS, MIPAS, SCIAMACHY, and SMR
复制标题
ACE-FTS、MIPAS、SCIAMACHY 和 SMR 中层和低热层一氧化氮测量结果的比较
DOI：
10.5194/amt-8-4171-2015
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发表时间：
2014
影响因子：
3.8
通讯作者：
J. Burrows
中科院分区：
文献类型：
--
作者：
S. Bender;M. Sinnhuber;T. Clarmann;G. Stiller;B. Funke;M. López‐Puertas;J. Urban;K. Pérot;K. Walker;J. Burrows
摘要。我们比较了四种仪器（大气化学实验傅立叶变换光谱仪（ACE-FTS）、迈克尔逊被动大气探测干涉仪（MIPAS）、扫描成像吸收光谱仪（SCIAMACHY）和亚毫米辐射计（SMR））在中间层和低层热层（60至150公里）的一氧化氮测量结果。我们使用了2004-2010年（ACE-FTS）、2005-2012年（MIPAS）、2008-2012年（SCIAMACHY）和2003-2012年（SMR）在该海拔范围内的日纬向平均数据。我们首先就形态学对数据进行定性比较，重点关注主要特征，然后直接和定量地比较时间序列。在三个地理区域，我们比较了垂直密度分布在同步测量日。由于没有仪器在该海拔区域提供连续的每日测量，我们进行了多元线性回归分析。该回归分析通过对太阳Lyman-α辐射指数和地磁Kp指数的线性响应，考虑了调和项形式的年际和半年度变率。这种分析有助于找出个别数据集在地磁和太阳变率引起的年际变化方面的异同。我们发现数据集是一致的，它们只是在小方面不一致。SMR和ACE-FTS在中间层中提供了最长的时间序列，它们之间的一致性非常好。来自MIPAS和SCIAMACHY的较短时间序列也与它们重叠的地方一致。当数量密度较大时，数据的一致性在30%以内，但在某些情况下，它们可能相差50%至100%。
Abstract. We compare the nitric oxide measurements in the mesosphere and lower thermosphere (60 to 150 km) from four instruments: the Atmospheric Chemistry Experiment–Fourier Transform Spectrometer (ACE-FTS), the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS), the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY), and the Sub-Millimetre Radiometer (SMR). We use the daily zonal mean data in that altitude range for the years 2004–2010 (ACE-FTS), 2005–2012 (MIPAS), 2008–2012 (SCIAMACHY), and 2003–2012 (SMR). We first compare the data qualitatively with respect to the morphology, focussing on the major features, and then compare the time series directly and quantitatively. In three geographical regions, we compare the vertical density profiles on coincident measurement days. Since none of the instruments delivers continuous daily measurements in this altitude region, we carried out a multi-linear regression analysis. This regression analysis considers annual and semi-annual variability in the form of harmonic terms and inter-annual variability by responding linearly to the solar Lyman-α radiation index and the geomagnetic Kp index. This analysis helps to find similarities and differences in the individual data sets with respect to the inter-annual variations caused by geomagnetic and solar variability. We find that the data sets are consistent and that they only disagree on minor aspects. SMR and ACE-FTS deliver the longest time series in the mesosphere, and they agree with each other remarkably well. The shorter time series from MIPAS and SCIAMACHY also agree with them where they overlap. The data agree within 30 % when the number densities are large, but they can differ by 50 to 100 % in some cases.