...
首页> 外文期刊>Journal of Geophysical Research. Biogeosciences >TEMPERATURE AND ACCUMULATION AT THE GREENLAND SUMMIT - COMPARISON OF HIGH-RESOLUTION ISOTOPE PROFILES AND SATELLITE PASSIVE MICROWAVE BRIGHTNESS TEMPERATURE TRENDS
【24h】

TEMPERATURE AND ACCUMULATION AT THE GREENLAND SUMMIT - COMPARISON OF HIGH-RESOLUTION ISOTOPE PROFILES AND SATELLITE PASSIVE MICROWAVE BRIGHTNESS TEMPERATURE TRENDS

机译:格陵兰峰的温度和累积-高分辨率同位素剖面和卫星无源微波亮度温度趋势的比较

获取原文
获取原文并翻译 | 示例
           

摘要

Long-term satellite passive microwave brightness temperature trends, supported by short-term automatic weather station (AWS) temperature data, show that the Greenland Summit area experiences secondary warm periods in the late fall and/or winter as well as primary midsummer warmth. High-resolution isotope profiles from snow pits dug in 1989, 1990, and 1991 near the Greenland Ice Sheet Project II (GISP2) site reveal that stable isotope ratios (delta(18)O and delta D) preserve this distinctive temperature cycle. This indicates that snow accumulation occurs frequently through the year at the Greenland Summit and that the isotope record initially contains temperature information from many times of the year. Through an empirically derived emissivity model using AWS air temperature data and satellite microwave brightness temperatures, our approach allows isotope values preserved in the snow to be related to estimated near-surface air temperatures. Density-corrected profiles allow the amounts and timing of accumulation to be determined as well. Our results indicate that stable isotope ratios from the near-surface snow at the Greenland Summit are currently a reliable, high-resolution temperature proxy. This result increases confidence in the paleoclimatic interpretation of isotope signal variations in the GISP2 and Greenland Ice Core Project (GRIP) deep ice cores. [References: 51]
机译:长期自动被动气象站(AWS)温度数据支持的长期卫星无源微波亮度温度趋势表明,格陵兰峰会地区在秋季和/或冬季以及盛夏的初夏都经历了二次温暖期。 1989年,1990年和1991年格陵兰冰原计划II(GISP2)附近雪坑挖出的高分辨率同位素图谱表明,稳定的同位素比(δ(18)O和δD)保持了这一独特的温度循环。这表明格陵兰峰会全年的积雪频繁发生,并且同位素记录最初包含一年中多次的温度信息。通过使用AWS空气温度数据和卫星微波亮度温度通过经验得出的发射率模型,我们的方法可以使雪中保存的同位素值与估计的近地表空气温度相关。密度校正的轮廓还可以确定累积的数量和时间。我们的结果表明,格陵兰峰会上来自近地表雪的稳定同位素比率目前是可靠的高分辨率温度代理。该结果增加了对GISP2和格陵兰冰芯计划(GRIP)深冰芯中同位素信号变化的古气候解释的信心。 [参考:51]

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

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