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Using limited time periods as a means to evaluate microwave sounding unit derived tropospheric temperature trend methods.

机译:使用有限的时间段作为评估微波探测单元得出的对流层温度趋势方法的手段。

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摘要

Limited Time Period (LTP) running trends are used to evaluate Microwave Sounding Unit (MSU) derived tropospheric temperature trend methods in an attempt to alleviate documented considerable disagreements between tropospheric datasets so investigation into the atmospheric variability is able to move forward.; Regression derived coefficients were used to combine lower stratosphere (LS) and mid-troposphere to lower stratosphere (MT) simulated MSU channels from RATPAC radiosonde data. This protocol is used to estimate tropospheric temperature trends and compared to actual RATPAC derived tropospheric temperature trends. It is found that the statistical LS/MT combination results in greater than 50% error over some LTP. These errors are found to exist when strong cooling in the stratosphere is coincident with periods when the level separating cooling from warming is above the tropopause.; LTP trends are also created from various MSU difference time series between the University of Alabama in Huntsville (UAH) and Remote Sensing System (RSS) group's lower troposphere (LT) and MT channels. Results suggest the greatest discrepancies over time periods where NOAA-11 through NOAA-15 adjustments was applied to the raw LT data over land. Discrepancies are shown to be dominated by differences in diurnal correction methods due to orbital drift. Comparison of MSU data with radiosonde data indicate that RSS's method of determining diurnal effects is overestimating the correction in the LT channel. Diurnal correction signatures still exist in the RSS LT time series and are likely affecting the long term trend with a warm bias.; These findings suggest atmospheric amplification is not happening in the atmosphere using globally averaged data over the MSU era. There is evidence however from the radiosonde data that shows greater warming in the ∼300-500 hPa layer than at the surface during some LTP in the complete radiosonde database. This temporal change in temperature trends warrants further studies on this subject.; This research suggests overall that the temporal changes in temperature trend profiles and their causes are extremely important in our understanding of atmospheric changes and are themselves, not well characterized.
机译:有限时间段(LTP)运行趋势用于评估微波探测单元(MSU)得出的对流层温度趋势方法,以缓解对流层数据集之间已记录的相当大的分歧,因此对大气变异性的研究能够向前发展。回归得出的系数用于将低平流层(LS)和对流层中层组合到来自RATPAC探空仪数据的低平流层(MT)模拟的MSU通道。该协议用于估计对流层温度趋势,并与实际RATPAC得出的对流层温度趋势进行比较。已经发现,与某些LTP相比,统计LS / MT组合会导致大于50%的误差。当平流层中的强降温与对流层的降温作用高于对流层顶时,发现存在这些误差。 LTP趋势也是由阿拉巴马州亨茨维尔大学(UAH)与遥感系统(RSS)组对流层下层(LT)和MT通道之间的各种MSU时差序列产生的。结果表明,在将NOAA-11至NOAA-15调整应用于陆地原始LT数据的时间段内,存在最大差异。结果表明,由于轨道漂移,昼夜校正方法的差异主要是差异。 MSU数据与探空仪数据的比较表明,RSS确定昼夜影响的方法高估了LT信道中的校正。昼夜校正信号仍然存在于RSS LT时间序列中,并且可能以偏向影响长期趋势。这些发现表明,使用MSU时代的全球平均数据,大气中并没有发生大气放大现象。然而,从探空仪数据来看,在完整的探空仪数据库中,在某些LTP期间,约300-500 hPa层的升温比地表更大。温度趋势的这种暂时变化需要对该问题进行进一步的研究。总体而言,这项研究表明,温度趋势曲线的时间变化及其原因对于我们理解大气变化极为重要,而且它们本身没有很好的特征。

著录项

  • 作者

    Randall, Robb Morris.;

  • 作者单位

    The University of Arizona.$bAtmospheric Sciences.;

  • 授予单位 The University of Arizona.$bAtmospheric Sciences.;
  • 学科 Atmospheric Sciences.; Remote Sensing.
  • 学位 Ph.D.
  • 年度 2007
  • 页码 107 p.
  • 总页数 107
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 遥感技术;
  • 关键词

  • 入库时间 2022-08-17 11:40:40

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