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Intercalibration of microwave sounding unit with short overlaps

机译:重叠短的微波测深仪的相互校准

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摘要

NOAA/NESDIS/Center for Satellite Applications and Research has been reprocessing and recalibrating the Microwave Sounding Unit (MSU) observations to generate atmospheric temperature dataset with climate quality. So far, observations from the MSU channels 2, 3, and 4 for NOAA 10, 11, 12, and 14 have been recalibrated using a recently-developed SNO (simultaneously nadir overpasses) sequential nonlinear calibration technique and a 20-year long deep-layer atmospheric temperature dataset from 1987 to 2006 has been generated. However, when using the SNO nonlinear technique to intercalibrate the MSU instrument for satellites before NOAA 10, one has to deal with the short overlap issue for satellites between NOAA 9 and NOAA 10. In this study, by extending the spatial distance criterion for the SNO matchups, we generate more SNO samplings for the short-overlapping satellites. We analyze the error characteristics of the SNO matchups when the spatial distance is extended to as large as 650km. We also generate calibration coefficients using the SNO nonlinear sequential intercalibration technique and then analyze how the intercalibration affects the SNO biases with different separation distances. These analyses will be helpful in determining the final calibration coefficients used for generating consistent MSU long-term temperature time series that will include all available satellites.
机译:NOAA / NESDIS /卫星应用和研究中心一直在对微波测深仪(MSU)的观测数据进行重新处理和校准,以生成具有气候质量的大气温度数据集。到目前为止,已经使用最近开发的SNO(同时达到最低天桥)连续非线性校准技术和长达20年的深水重新校准了来自MSU通道2、3和4对NOAA 10、11、12和14的观测值。生成了1987年至2006年的地层大气温度数据集。但是,当使用SNO非线性技术对NOAA 10之前的卫星的MSU仪器进行相互校准时,必须解决NOAA 9和NOAA 10之间的卫星的短重叠问题。在这项研究中,通过扩展SNO的空间距离标准比赛中,我们为短重叠卫星生成了更多的SNO采样。当空间距离扩展到650 km时,我们分析了SNO对决的误差特征。我们还使用SNO非线性顺序互校准技术生成校准系数,然后分析互校准如何影响具有不同分离距离的SNO偏差。这些分析将有助于确定用于生成一致的MSU长期温度时间序列(包括所有可用卫星)的最终校准系数。

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