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Construction of Stratospheric Temperature Data Records fromTI Construction of Stratospheric Temperature Data Records from Stratospheric Sounding Units

机译:从TI构建平流层温度数据记录从平流层测深仪构建平流层温度数据记录

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In recognizing the importance of Stratospheric Sounding Unit (SSU) onboard historical NOAA polar-orbiting satellites in assessment of long-term stratospheric temperature changes and limitations in previous available SSU datasets, this study constructs a fully documented, publicly accessible, and well-merged SSU time series for climate change investigations. Focusing on methodologies, this study describes the details of data processing and bias corrections in the SSU observations for generating consistent stratospheric temperature data records, including 1) removal of the instrument gas leak effect in its CO2 cell; 2) correction of the atmospheric CO2 increase effect; 3) adjustment for different observation viewing angles; 4) removal of diurnal sampling biases due to satellite orbital drift; and 5) statistical merging of SSU observations from different satellites. After reprocessing, the stratospheric temperature records are composed of nadirlike, gridded brightness temperatures that correspond to identical weighting functions and a fixed local observation time. The 27-yr reprocessed SSU data record comprises global monthly and pentad layer temperatures, with grid resolution of 2.58 latitude by 2.58 longitude, of the midstratosphere (TMS), upper stratosphere (TUS), and top stratosphere (TTS), which correspond to the three SSU channel observations. For 1979-2006, the global mean trends for TMS, TUS, and TTS, are respectively -1.236 +/- 0.131, -0.926 +/- 0.139, and -1.006 +/- 0.194 K decade(-1). Spatial trend pattern analyses indicated that this cooling occurred globally with larger cooling over the tropical stratosphere.
机译:为了认识到历史NOAA极地轨道卫星上的平流层测深仪(SSU)在评估平流层长期温度变化和以前可用的SSU数据集中的局限性方面的重要性,本研究构建了一个有据可查,可公开获取且融合良好的SSU气候变化调查的时间序列。着眼于方法学,本研究描述了SSU观测中数据处理和偏差校正的详细信息,以生成一致的平流层温度数据记录,包括1)消除仪器气体在其CO2电池中的泄漏影响; 2)纠正大气中CO2增加的影响; 3)针对不同的观察视角进行调整; 4)消除由于卫星轨道漂移引起的昼夜采样偏差; 5)统计合并来自不同卫星的SSU观测值。重新处理后,平流层温度记录由类似最低点的网格亮度温度组成,这些温度对应于相同的加权函数和固定的本地观测时间。经过27年重新处理的SSU数据记录包括中层平流层(TMS),平流层上层(TUS)和平流层上层(TTS)的全球月度和五极层温度,网格分辨率为2.58纬度乘以2.58经度。三个SSU通道观测值。对于1979-2006年,TMS,TUS和TTS的全球平均趋势分别为-1.236 +/- 0.131,-0.926 +/- 0.139和-1.006 +/- 0.194 K十年(-1)。空间趋势模式分析表明,这种降温总体发生在热带平流层,降温幅度更大。

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