Levy Robert C, Mattoo Shana, Sawyer Virginia, Shi Yingxi, Colarco Peter R, Lyapustin Alexei I, Wang Yujie, Remer Lorraine A
NASA-Goddard Space Flight Center (GSFC), Greenbelt, Maryland, USA.
Science Systems and Applications (SSAI), Lanham, Maryland, USA.
Atmos Meas Tech. 2018 Jul;11(7):4073-4092. doi: 10.5194/amt-11-4073-2018. Epub 2018 Jul 13.
Long-term measurements of global aerosol loading and optical properties are essential for assessing climate-related questions. Using observations of spectral reflectance and radiance, the dark-target (DT) aerosol retrieval algorithm is applied to Moderate-resolution Imaging Spectroradiometer sensors on both Terra (MODIS-T) and Aqua (MODIS-A) satellites, deriving products (known as MOD04 and MYD04, respectively) of global aerosol optical depth (AOD at 0.55 μm) over both land and ocean, and Angstrom Exponent (AE derived from 0.55 and 0.86 μm) over ocean. Here, we analyse the overlapping time series (since mid-2002) of the Collection 6 (C6) aerosol products. Global monthly mean AOD from MOD04 (Terra with morning overpass) is consistently higher than MYD04 (Aqua with afternoon overpass) by 13% (0.02 over land and ~0.015 over ocean), and this offset (MOD04 - MYD04), has seasonal as well as long-term variability. Focusing on 2008, and deriving yearly gridded mean AOD and AE, we find that over ocean, the MOD04 (morning) AOD is higher and the AE is lower. Over land, there is more variability, but only biomass-burning regions tend to have AOD lower for MOD04. Using simulated aerosol fields from the Goddard Earth Observing System (GEOS-5) Earth system model, and sampling separately (in time and space) along each MODIS-observed swath during 2008, the magnitudes of morning versus afternoon offsets of AOD and AE are smaller than those in the C6 products. Since the differences are not easily attributed to either aerosol diurnal cycles or sampling issues, we test additional corrections to the input reflectance data. The first, known as C6+, corrects for long-term changes to each sensors' polarization sensitivity, response-versus-scan angle, and to cross-calibration from MODIS-T to MODIS-A. A second convolves the de-trending and cross-calibration into scaling factors. Each method was applied upstream of the aerosol retrieval, using 2008 data. While both methods reduced the overall AOD offset over land from 0.02 to 0.01, neither significantly reduced the AOD offset over ocean. The overall negative AE offset was reduced. A Collection (C6.1) of all MODIS-atmosphere products was released, but we expect that the C6.1 aerosol products will maintain similar overall AOD and AE offsets. We conclude that: a) users should not interpret global differences between Terra and Aqua aerosol products as representing a true diurnal signal in the aerosol. b) Because the MODIS-A product appears to have overall smaller bias compared to ground-truth, it may be more suitable for some applications, however c) since the AOD offset is only ~0.02 and within noise level for single retrievals, both MODIS products may be adequate for most applications.
长期测量全球气溶胶负荷和光学特性对于评估与气候相关的问题至关重要。利用光谱反射率和辐射率观测数据,暗目标(DT)气溶胶反演算法被应用于Terra(MODIS-T)和Aqua(MODIS-A)卫星上的中分辨率成像光谱仪传感器,得出陆地和海洋上全球气溶胶光学厚度(0.55μm处的AOD)以及海洋上的埃指数(由0.55μm和0.86μm得出的AE)的产品(分别称为MOD04和MYD04)。在此,我们分析了集合6(C6)气溶胶产品的重叠时间序列(自2002年年中以来)。来自MOD04(Terra上午过境)的全球月平均AOD始终比MYD04(Aqua下午过境)高约13%(陆地约高0.02,海洋约高0.015),并且这种偏差(MOD04 - MYD04)具有季节性以及长期变化。聚焦于2008年,并得出年度网格化平均AOD和AE,我们发现在海洋上,MOD04(上午)的AOD更高而AE更低。在陆地上,变化更大,但只有生物质燃烧区域的MOD04的AOD往往更低。利用戈达德地球观测系统(GEOS-5)地球系统模型的模拟气溶胶场,并在2008年期间沿每个MODIS观测带分别进行时间和空间采样,AOD和AE的上午与下午偏差幅度小于C6产品中的偏差幅度。由于这些差异不易归因于气溶胶日变化周期或采样问题,我们测试了对输入反射率数据的其他校正。第一种校正方法称为C6+,用于校正每个传感器的偏振灵敏度、响应与扫描角的长期变化以及从MODIS-T到MODIS-A的交叉校准。第二种方法将去趋势和交叉校准卷积为比例因子。每种方法都在气溶胶反演的上游应用,使用的是2008年的数据。虽然两种方法都将陆地上的总体AOD偏差从0.02降低到了0.01,但都没有显著降低海洋上的AOD偏差。总体负AE偏差有所降低。发布了所有MODIS大气产品的集合(C6.1),但我们预计C6.1气溶胶产品将保持类似的总体AOD和AE偏差。我们得出以下结论:a)用户不应将Terra和Aqua气溶胶产品之间的全球差异解释为代表气溶胶中的真实日信号。b)由于与地面真值相比,MODIS-A产品的总体偏差似乎较小,它可能更适合某些应用,然而c)由于AOD偏差仅约为0.02且在单次反演的噪声水平范围内,两种MODIS产品可能都适用于大多数应用。