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首页> 外文期刊>Atmospheric Measurement Techniques >Establishment of AIRS climate-level radiometric stability using radiance anomaly retrievals of minor gases and sea surface temperature
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Establishment of AIRS climate-level radiometric stability using radiance anomaly retrievals of minor gases and sea surface temperature

机译:使用辐射异常检索轻微气体和海面温度的辐射气候水平辐射稳定性的建立

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Temperature, H2O, and O3 profiles, as well as CO2, N2O, CH4, chlorofluorocarbon-12 (CFC-12), and sea surface temperature (SST) scalar anomalies are computed using a clear subset of AIRS observations over ocean for the first 16?years of NASA's Earth-Observing Satellite (EOS) Aqua Atmospheric Infrared Sounder (AIRS) operation. The AIRS Level-1c radiances are averaged over 16 d and 40 equal-area zonal bins and then converted to brightness temperature anomalies. Geophysical anomalies are retrieved from the brightness temperature anomalies using a relatively standard optimal estimation approach. The CO2, N2O, CH4, and CFC-12 anomalies are derived by applying a vertically uniform multiplicative shift to each gas in order to obtain an estimate for the gas mixing ratio. The minor-gas anomalies are compared to the National Oceanic and Atmospheric Administration (NOAA) Earth System Research Laboratory (ESRL) in situ values and used to estimate the radiometric stability of the AIRS radiances. Similarly, the retrieved SST anomalies are compared to the SST values used in the ERA-Interim reanalysis and to NOAA's Optimum Interpolation SST (OISST) product. These intercomparisons strongly suggest that many AIRS channels are stable to better than 0.02 to 0.03 K per decade, well below climate trend levels, indicating that the AIRS blackbody is not drifting. However, detailed examination of the anomaly retrieval residuals (observed – computed) shows various small unphysical shifts that correspond to AIRS hardware events (shutdowns, etc.). Some examples are given highlighting how the AIRS radiance stability could be improved, especially for channels sensitive to N2O and CH4. The AIRS shortwave channels exhibit larger drifts that make them unsuitable for climate trending, and they are avoided in this work. The AIRS Level?2 surface temperature retrievals only use shortwave channels. We summarize how these shortwave drifts impacts recently published comparisons of AIRS surface temperature trends to other surface climatologies.
机译:温度,H 2 O和O 3型材以及CO 2,N 2 O,CH 4,氯氟烃-12(CFC-12)和海表面温度(SST)标量异常,首先在前16个在海洋上的空气观测的透明空气观察?NASA的地球观测卫星(EOS)Aqua大气红外声(Airs)操作。 Airs Level-1C辐射在16d和40个相等区域的区域间箱上平均平均,然后转换为亮度温度异常。使用相对标准的最佳估计方法从亮度温度异常中检索地球物理异常。通过将垂直均匀的乘法移向每个气体施加垂直均匀的倍增偏移来得出CO 2,N 2 O,CH 4和CFC-12异常,以获得对气体混合比的估计。将少量气体异常与国家海洋和大气管理(NOAA)地球系统研究实验室(ESRL)进行比较,并用于估计空气辐射的辐射稳定性。类似地,将检索到的SST异常与ERA临时再分析和NOAA的最佳插值SST(OISST)产品中使用的SST值进行比较。这些离法的本意项强烈建议,许多烟囱渠道稳定,以优于0.02至0.03克,远低于气候趋势水平,表明烟雾黑体不会漂移。然而,对异常检索残差的详细检查(观察到的计算)显示了与烟囱硬件事件(Shutdowns等)对应的各种小的未经理移位。突出了一些示例,突出了如何改善空气辐射稳定性,特别是对于对N2O和CH4敏感的通道。空气空间短波频道表现出更大的漂移,使它们不适合气候趋势,并且在这项工作中避免它们。空气水平?2表面温度检索仅使用短波通道。我们总结了这些短波漂移的影响最近公布了对其他地表气候的空气表面温度趋势的比较。

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