首页> 外文OA文献 >Recent Climate Variability in Antarctica from Satellite-derived Temperature Data
【2h】

Recent Climate Variability in Antarctica from Satellite-derived Temperature Data

机译:来自卫星的温度数据在南极洲的近期气候变化

摘要

Recent Antarctic climate variability on month-to-month to interannual time scales is assessed through joint analysis of surface temperatures from satellite thermal infrared observations (T(sub IR)) and passive microwave brightness temperatures (T(sub B)). Although Tw data are limited to clear-sky conditions and T(sub B) data are a product of the temperature and emissivity of the upper approx. 1m of snow, the two data sets share significant covariance. This covariance is largely explained by three empirical modes, which illustrate the spatial and temporal variability of Antarctic surface temperatures. T(sub B) variations are damped compared to TIR variations, as determined by the period of the temperature forcing and the microwave emission depth; however, microwave emissivity does not vary significantly in time. Comparison of the temperature modes with Southern Hemisphere (SH) 500-hPa geopotential height anomalies demonstrates that Antarctic temperature anomalies are predominantly controlled by the principal patterns of SH atmospheric circulation. The leading surface temperature mode strongly correlates with the Southern Annular Mode (SAM) in geopotential height. The second temperature mode reflects the combined influences of the zonal wavenumber-3 and Pacific South American (PSA) patterns in 500-hPa height on month-to-month timescales. ENSO variability projects onto this mode on interannual timescales, but is not by itself a good predictor of Antarctic temperature anomalies. The third temperature mode explains winter warming trends, which may be caused by blocking events, over a large region of the East Antarctic plateau. These results help to place recent climate changes in the context of Antarctica's background climate variability and will aid in the interpretation of ice core paleoclimate records.
机译:通过对卫星热红外观测(T(sub IR))和被动微波亮度温度(T(sub B))的地表温度进行联合分析,评估了近月南极气候在逐月至年际时间尺度上的变化。尽管Tw数据仅限于晴空条件,并且T(sub B)数据是温度和上限的发射率的乘积。在1m雪的情况下,两个数据集具有显着的协方差。这种协方差主要由三种经验模式解释,这三种模式说明了南极表面温度的时空变化。与TIR的变化相比,T(sub B)的变化得到了抑制,而TIR的变化则由温度强迫的周期和微波发射深度决定;然而,微波发射率在时间上没有显着变化。将温度模式与南半球(500 hPa)的地势高度异常进行比较表明,南极温度异常主要受南半球大气环流的主要模式控制。地表前缘温度模式与南极环形模式(SAM)的地势高度高度相关。第二个温度模式反映了3月纬向波数和太平洋南美洲(PSA)模式在500-hPa高度对月时尺度的综合影响。 ENSO的变异性会在年际时间尺度上投射到这种模式,但它本身并不能很好地预测南极温度异常。第三种温度模式解释了南极东部高原大部分地区的冬季变暖趋势,这可能是由阻塞事件引起的。这些结果有助于将近期的气候变化置于南极洲背景气候变化的背景下,并有助于解释冰芯古气候记录。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号