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Simulation of impacts of climatological MSU data processing methods using NCEP/NCAR reanalysis data

机译:使用NCEP / NCAR再分析数据模拟气候MSU数据处理方法的影响

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The Microwave Sounding Units (MSUs) aboard TIROS-N/NOAA satellites have played an important role in providing long-term global climate :information. However, mainly due to the "limb-correction" and the "intrascan averaging" procedures in the data processing, changes to the characteristics of the data may have occurred. In this paper we investigate this possibility in two parts. In the first part we have chosen to revisit the radiative transfer theory and to re-derive the (effective) radiative transfer equation for the processed MSU data under more general conditions. We find that the weighting function of the processed MSU deviates from the original at nadir and that the normalization condition, which ensures the total weight of contributions to the total observed radiance from different sources sums up to unity, is breached. In the later part of the paper we generate simulations of climatological MSU-2 before and after data processing using a line-by-line radiative transfer code of Shah and Rind [1995] with the monthly mean output of the National Centers for Environmental Prediction (NCEP)/National Center for Atmospheric Research (NCAR) reanalysis project [Kalnay et rrl., 1996] for the period 1982-1994. These simulations are examined and compared with the processed MSU-2 observations available in the public domain. We find that a systematic reduction of contrast between land and ocean MSU-2 brightness temperatures can result from the limb-correction procedure. The temporal variances are affected by the greater-than-unity limb-correction coefficients, especially in the tropical region. A reduction of the spatial variances over the land region, as was reported earlier by Basist et al. [1995], can be caused by the intrascan averaging treatment in the processing. We suggest that a better approach in future MSU data processing may be to use the nadir data directly without averaging with the other off nadir data and, in addition, that the off-nadir data should be "navigated" and be processed into separate data sets. [References: 28]
机译:TIROS-N / NOAA卫星上的微波探测单元(MSU)在提供长期全球气候信息方面发挥了重要作用。但是,主要由于数据处理中的“边缘校正”和“扫描内平均”过程,可能发生了数据特性的变化。在本文中,我们分两部分研究这种可能性。在第一部分中,我们选择了重新研究辐射传递理论,并在更一般的条件下针对已处理的MSU数据重新推导了(有效的)辐射传递方程。我们发现,处理后的MSU的加权函数在最低点偏离了原始MSU,并且违反了归一化条件,该归一化条件确保了对来自不同源的总观测辐射的贡献的总权重合计为1。在本文的后半部分,我们使用Shah和Rind [1995]的逐行辐射转移码,以及国家环境预测中心的月平均输出量,在数据处理前后生成MSU-2气候模拟。 NCEP)/国家大气研究中心(NCAR)重新分析项目[Kalnay等,1996年],时间为1982-1994年。对这些模拟进行了检查,并与公共领域中已处理的MSU-2观测结果进行了比较。我们发现,肢体校正程序可导致陆地和海洋MSU-2亮度温度之间的对比度出现系统性降低。时间差异受大于统一肢体校正系数的影响,尤其是在热带地区。正如Basist等人早些时候报道的那样,减少了陆地区域的空间变化。 [1995],可能是由扫描内平均处理引起的。我们建议在将来的MSU数据处理中,更好的方法可能是直接使用天底数据而不与其他非天底数据求平均,此外,应将“天底”数据“导航”并处理为单独的数据集。 [参考:28]

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