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Climate Change Sensitivity Evaluation from AIRS and IRIS Measurements

机译:通过AIRS和IRIS测量得出的气候变化敏感性评估

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摘要

Outgoing longwave radiation (OLR) measurements over a long period from satellites provide valuable information for climate change. Due to the different coverage, spectral resolution and instrument sensitivities, the data comparisons between different satellites could be problematic and possible artifacts could be easily introduced. In this paper, we illustrate the method and procedures when we compare different satellite measurements by using the data taken by Infrared Interferometric Spectrometer (IRIS) in 1970 and by Atmospheric Infrared Sounder (AIRS) from 2002 to 2010. We use the spectra between 650 cm~(-1) and 1350 cm~(-1) for nadir view footprints in order to match the AIRS and IRIS measurements. Most of the possible sources of error or biases, which include the errors from spatial coverage, spectral resolution, spectra frequency shift due to the field of view, sea surface temperature uncertainty, clear sky determination, and spectra response function (SRF) symmetry, can be corrected. Using the correct SRF is extremely important when comparing spectra in the high slope spectral regions where possible large artifacts could be introduced.
机译:卫星长时间进行的外向长波辐射(OLR)测量为气候变化提供了宝贵的信息。由于覆盖范围,频谱分辨率和仪器灵敏度不同,不同卫星之间的数据比较可能会出现问题,并且可能会容易引入人为因素。在本文中,我们通过使用1970年的红外干涉光谱仪(IRIS)和2002年至2010年的大气红外测深仪(AIRS)采集的数据,比较了不同的卫星测量结果时的方法和步骤。我们使用650 cm 〜(-1)和1350 cm〜(-1)用于最低点视图足迹,以匹配AIRS和IRIS测量值。误差或偏差的大多数可能来源,包括来自空间覆盖范围,光谱分辨率,由于视场引起的光谱频移,海面温度不确定性,晴朗的天空确定以及光谱响应函数(SRF)对称性所引起的误差,都可以被纠正。在高斜率光谱区域中比较光谱时,使用正确的SRF极为重要,因为可能会引入大的伪影。

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