期刊文献+

基于昼夜温差序列非均一性的高空温度订正 被引量:4

Adjustment of upper air temperature based on inhomogeneity of day-night temperature difference series
下载PDF
导出
摘要 利用中国东部地区75个高空探测站1958—2005年逐日08时和20时资料和元数据信息,采用昼夜温度对比和二相线性回归法,对不同等压面的温度序列进行均一性检测和订正。在此基础上,以最大缺测率30%作为序列取舍标准,对49个探空站订正前后的年平均温度变化趋势进行对比分析。结果表明:探空仪器变化和辐射订正方法改变是造成中国东部地区高空温度序列非均一性的主要原因,1966年前后和2000年前后是两个较为可靠的间断点,且1966年前后的非均一性更突出。非均一性最明显的等压面主要在100 hPa。1958—2005年,500 hPa以下等压面温度的上升趋势较订正前减弱,但200 hPa到50 hPa等压面温度的下降趋势也被削弱,削弱幅度为0.04—0.08℃/10 a。与1958—2005年相比,1979年以来东部地区对流层各层温度增温趋势明显,而平流层底层降温趋势也较为显著,该时段内订正前后温度变化趋势差异较小。 Based on the daily temperature data from 75 radiosonde stations in the eastern China at 08:00 and 20:00 during 1958 to 2005 and the corresponding metadata,homogeneity of temperature at different levels was tested and adjusted using methods of a temperature difference between daytime and nighttime and a two-phase linear regression.The annual trends of the observed and revised temperature at 49 stations were analyzed by selecting data using 30% maximum missing rate as a standard.The results indicate that inhomogeneity of temperature is caused by changes of radiosonde instrument and radiation correction method in upper level over the eastern China.The credible breakpoints for inhomogeneity occur in 1966 and 2000,especially in 1966.The most obvious inhomogeneity appears at 100 hPa.Compared with the original temperature series,warming trend of temperature below 500 hPa weakens from 1958 to 2005,so is its decreasing trend from 200 hPa to 50 hPa and the ratio is 0.04-0.08 ℃ every decade.Troposphere temperature increases and lower stratosphere temperature decreases significantly since 1979.Therefore,temperature discrepancy of adjusted and original time series during 1979 to 2005 is small compared with that during 1958 to 2005.
出处 《气象与环境学报》 2013年第5期74-80,共7页 Journal of Meteorology and Environment
基金 国家重点基础研究发展计划项目(2012CB417205)资助
关键词 高空温度 均一化订正 昼夜温差 二相线性回归 Upper air temperature Inhomogeneous adjustment Day-night temperature difference Two-phase linear regression
  • 相关文献

参考文献19

  • 1Free M,Durre I,Aguilar E,et al.Creating climate reference datasets:CARDS workshop on adjusting radiosonde temperature data for climate monitoring[J].Bulletin of the American Meteorological Society,2002,83 (6):891-899.
  • 2Lanzante J R.Resistant,robust and non-parametric techniques for the analysis of climate data:Theory and examples,including applications to historical radiosonde station data[J].International Journal of Climatology,1996,16(11):1197-1226.
  • 3Parker D E,Gordon M,Cullum D P N,et al.A new global gridded radiosonde temperature data base and recent temperature trends[J].Geophysical Research Letters,1997,24(12):1499-1502.
  • 4翟盘茂,郭艳君.高空大气温度变化研究[J].气候变化研究进展,2006,2(5):228-232. 被引量:25
  • 5Angell J K.Effect of exclusion of anomalous tropical stations on temperature trends from a 63-station radiosonde network,and comparison with other analyses[J].Journal of Climate,2003,16 (13):2288-2295.
  • 6Seidel D J,Lanzante J R.An assessment of three alternatives to linear trends for characterizing global atmospheric temperature changes[J].Journal of Geophysical Research,2004,109 (D14):D14108.
  • 7Free M and Seidel D J.Causes of differing temperature trends in radiosonde upper air data sets[J].Journal of Geophysical Research,2005,110(D7):D07101.
  • 8Free M,Seidel D J,Angell J K,et al.Radiosonde atmospheric temperature products for assessing climate(RATPAC):A new data set of large-area anomaly time series[J].Journal of Geophysical Research,2005,110 (D22):D22101.
  • 9Zhai P M,Eskridge R E.Analysis of inhomogeneities in radiosonde temperature and humidity time series[J].Journal of Climate,1996,9(4):884-894.
  • 10翟盘茂.中国历史探空资料中的一些过失误差及偏差问题[J].气象学报,1997,55(5):563-572. 被引量:89

二级参考文献138

共引文献268

同被引文献52

引证文献4

二级引证文献17

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部