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A 20-year MSU dataset for atmospheric temperature changestudies

机译:一个20年MSU数据集,用于大气温度换句话

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The Microwave Sounding Unit (MSU) on board the National Oceanic and Atmospheric Administration (NOAA) polar-orbiting satellites were designed to measure the atmospheric temperature from the surface to the lower stratosphere under all weather conditions, excluding precipitation. Although the instrumental design and calibration were made primarily for monitoring the atmospheric weather processes, the MSU observations have been extensively used for detecting climate trend. However, calibration errors have been a major uncertainty in climate trend detections. In order for the MSU data to be of high quality for climate trend and variability research, we have recently recalibrated the MSU satellites NOAA 10, 11, 12, and 14 using simultaneous nadir overpass (SNO) method. The calibration results in a well-merged 20-year radiance dataset for the MSU channels 2, 3, and 4. Limb-correction is applied to adjust the incident angles of the footprints, The limb-corrected radiances are further binned into 2.5° longitude by 2.5° latitude grids to generate deep-layer temperature datasets for the mid-troposphere (T2), tropopause (T3), and lower-stratosphere (T4). The global ocean averaged trends for the recalibrated T2, T3, and T4are respectively 0.234+0 071 K/decade, 0.079±0 085 K/decade, and -0.414+0.287 K/decade for the 20-year time period from 1987 to 2006. Both the recalibrated radiance and deep-layer temperature datasets are freely available through the NESDIS/STAR website.
机译:船上的微波探测单元(MSU)国家海洋和大气管理(NOAA)极性轨道卫星设计用于在所有天气条件下测量从表面到较低平流层的大气温度,不包括降水。虽然仪器设计和校准主要用于监测大气气象过程,但MSU观察已广泛用于检测气候趋势。然而,校准误差是气候趋势检测中的主要不确定性。为了使MSU数据具有高质量的气候趋势和可变性研究,我们最近使用同时Nadir立交桥(SNO)方法来重新校准MSU卫星NOAA 10,11,12和14。校准导致MSU通道2,3和4的合并20年的辐射数据集。曲折校正被应用于调节脚印的入射角,肢体校正的辐射进一步将其进入2.5°经度通过2.5°纬度网格,为中层(T2),对流层(T3)和低层层(T4)产生深层温度数据集。全球海洋平均趋势分别为0.234 + 0 071 K /十年,0.079±0 085 k /十年,为20年期间为1987年至2006年的20年期间的-0.414 + 0.287 k /十年。通过NESDIS / Star网站自由地提供重新校准光线和深层温度数据集。

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