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Error structure and atmospheric temperature trends in observations from the Microwave Sounding Unit.

机译:微波探测单元观测中的误差结构和大气温度趋势。

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The Microwave Sounding Unit (MSU) onboard the National Oceanic and Atmospheric Administration polar-orbiting satellites measures the atmospheric temperature from the surface to the lower stratosphere under all weather conditions, excluding precipitation. Although designed primarily for monitoring weather processes, the MSU observations have been extensively used for detecting climate trends, and calibration errors are a major source of uncertainty. To reduce this uncertainty, an intercalibration method based on the simultaneous nadir overpass (SNO) matchups for the MSU instruments on satellites NOAA-10, -11, -12, and -14 was developed. Due to orbital geometry, the SNO matchups are confined to the polar regions, where the brightness temperature range is slightly smaller than the global range. Nevertheless, the resulting calibration coefficients are applied globally to the entire life cycle of an MSU satellite. Such intercalibration reduces intersatellite biases by an order of magnitude compared to prelaunch calibration and, thus, results in well-merged time series for the MSU channels 2, 3, and 4, which respectively represent the deep layer temperature of the midtroposphere (T2), tropopause (T3), and lower stratosphere (T4). Focusing on the global atmosphere over ocean surfaces, trends for the SNO-calibrated T2, T3, and T4 are, respectively, 0.21+or-0.07, 0.08+or-0.08, and -0.38+or-0.27 K decade-1 from 1987 to 2006. These trends are independent of the number of limb-corrected footprints used in the dataset, and trend differences are marginal for varying bias correction techniques for merging the overlapping satellites on top of the SNO calibration. The spatial pattern of the trends reveals the tropical midtroposphere to have warmed at a rate of 0.28+or-0.19 K decade-1, while the Arctic atmosphere warmed 2 to 3 times faster than the global average. The troposphere and lower stratosphere, however, cooled across the southern Indian and Atlantic Oceans adjacent to the Antarctic continent. To remove the stratospheric cooling effect in T2, channel trends from T2 and T3 (T23) and T2 and T4 (T24) were combined. The trend patterns for T23 and T24 are in close agreement, suggesting internal consistencies for the trend patterns of the three channels.
机译:国家海洋和大气管理局极地轨道卫星上的微波探测单元(MSU)在所有天气条件下(不包括降水)测量从地表到平流层下层的大气温度。虽然MSU观测主要用于监视天气过程,但已广泛用于检测气候趋势,并且校准误差是不确定性的主要来源。为了减少这种不确定性,在卫星 NOAA-10 ,- 11 ,- 12上基于MSU仪器同时最低点立交(SNO)匹配的相互校准方法和- 14 被开发出来。由于轨道的几何形状,SNO匹配仅限于极地区域,在该区域中,亮度温度范围略小于全局范围。但是,所得的校准系数将全局应用于MSU卫星的整个生命周期。与发射前的校准相比,这种相互校准将卫星间的偏差减小了一个数量级,因此导致MSU通道2、3和4的时间序列很好地融合在一起,分别代表对流层中层的深层温度(T 2 ),对流层顶(T 3 )和低平流层(T 4 )。着眼于海洋表面的全球大气,经SNO校准的T 2 ,T 3 和T 4 的趋势分别为0.21 1987年至2006年的+ or-0.07、0.08 + or-0.08和-0.38 + or-0.27 K October -1 。这些趋势与数据集中使用的经过肢体校正的脚印数量无关,并且趋势差异仅适用于在SNO校准基础上用于合并重叠卫星的各种偏差校正技术。趋势的空间格局表明,热带对流层的升温速度为0.28+或-0.19 K October -1 ,而北极大气的升温速度是全球平均水平的2至3倍。但是,对流层和低空平流层在南极大陆附近的印度南部和大西洋南部冷却。为了消除T 2 中的平流层冷却效应,应从T 2 和T 3 (T 23 )得出通道趋势T 2 和T 4 (T 24 )合并在一起。 T 23 和T 24 的趋势模式非常接近,这表明这三个通道的趋势模式具有内部一致性。

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