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Improvements to NPOESS temperature and moisture sounding by combining sounder and imaging instrument data

机译:通过组合测深仪和成像仪器数据来改善NPOESS温度和湿度测深

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The CrIS and ATMS instruments on NPOESS will provide high quality temperature and moisture profiles greatly surpassing the capabilities of current operational satellite sounders. However, performance of these systems continues to be a challenge in cloudy scenes. The VIIRS sensor on NPOESS will provide much higher spatial resolution data than that of CrIS, with some overlap in spectral coverage. This sub-pixel information can be used to enhance the retrieval performance in a number of ways. This paper presents a potential technique to improve performance of the CrIS temperature profile retrievals by incorporating data from VIIRS. Improvements include more accurate retrievals in partly cloudy situations, better effective spatial resolution and more robust quality control diagnostics. We provide an overview of our approach and show examples utilizing data from the EOS-Aqua AIRS, AMSU and MODIS sensors.
机译:NPOESS上的CrIS和ATMS仪器将提供高质量的温度和湿度曲线,大大超过当前运行中的卫星探测仪的能力。然而,这些系统的性能在阴天场景中仍然是一个挑战。 NPOESS上的VIIRS传感器将提供比CrIS更高的空间分辨率数据,并且光谱覆盖范围有所重叠。该子像素信息可以通过多种方式用于增强检索性能。本文提出了一种潜在的技术,可通过结合VIIRS的数据来提高CrIS温度剖面检索的性能。改进包括在部分多云的情况下更准确的检索,更好的有效空间分辨率和更强大的质量控制诊断。我们概述了我们的方法,并举例说明了使用EOS-Aqua AIRS,AMSU和MODIS传感器中的数据的示例。

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