Aerosol correction for remotely sensed sea surface temperatures from the National Oceanic and Atmospheric Administration advanced very high resolution radiometer
Aerosol correction for remotely sensed sea surface temperatures from the National Oceanic and Atmospheric Administration advanced very high resolution radiometer
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DOI：
10.1029/2001jc001162
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发表时间：
2002-10
影响因子：
--
通讯作者：
N. Nalli;L. Stowe
中科院分区：
文献类型：
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作者：
N. Nalli;L. Stowe
[1]本研究提出了利用美国国家海洋和大气管理局（NOAA）极地轨道卫星搭载的先进甚高分辨率辐射计（AVHRR）对遥感海表温度（SST）进行日间气溶胶校正算法的第一阶段推导和实现。为了实现这一目标，通过合并NOAA/NASA探路者大气和探路者海洋数据集，创建了一个长期（1990-1998）的全球avhrr浮标匹配数据库。合并后的数据集的独特之处在于，它包含了在显著气溶胶负荷的全球条件下，来自AVHRR通道1 （0.63 μm）的气溶胶光学深度（AOD）的日间估计。反演的AOD直方图显示对流层和平流层气溶胶模态的单模态、对数正态分布。经验表明，在每种气溶胶模式下引起的海温下降可以在两个预测因子中表示为线性函数，这两个预测因子是从AVHRR通道1检索到的倾斜路径AOD以及通道1和通道2归一化反射率的比值。在这些关系的基础上，推导了参数方程，为NOAA白天操作多通道和非线性海温算法的反演提供了气溶胶校正。两种气溶胶模式分别使用了不同的系数集：对流层（即尘埃、烟雾、雾霾）和平流层/对流层（即主要火山爆发后）。结果表明，使用一组独立的匹配，这些方程显著降低了检索到的海温偏差。在实时和回顾性处理中消除气溶胶引起的偏差将增强AVHRR海温对一般用户群体和气候研究的效用。
[1] This research presents the first-phase derivation and implementation of daytime aerosol correction algorithms for remotely sensed sea surface temperature (SST) from the advanced very high resolution radiometer (AVHRR) instrument flown onboard NOAA polar orbiting satellites. To accomplish this, a long-term (1990–1998), global AVHRR-buoy match-up database was created by merging the NOAA/NASA Pathfinder Atmospheres and Pathfinder Oceans data sets. The merged data set is unique in that it includes daytime estimates of aerosol optical depth (AOD) derived from AVHRR channel 1 (0.63 μm) under global conditions of significant aerosol loading. Histograms of retrieved AOD reveal monomodal, lognormal distributions for both tropospheric and stratospheric aerosol modes. It is then shown empirically that the SST depression caused under each aerosol mode can be expressed as a linear function in two predictors, these being the slant path AOD retrieved from AVHRR channel 1 along with the ratio of channels 1 and 2 normalized reflectances. On the basis of these relationships, parametric equations are derived to provide an aerosol correction for retrievals from the daytime NOAA operational multichannel and nonlinear SST algorithms. Separate sets of coefficients are utilized for two aerosol modes: tropospheric (i.e., dust, smoke, haze) and stratospheric/tropospheric (i.e., following a major volcanic eruption). The equations are shown to significantly reduce retrieved SST bias using an independent set of match-ups. Eliminating aerosol-induced bias in both real-time and retrospective processing will enhance the utility of the AVHRR SST for the general user community and in climate research.