...
首页> 外文期刊>Earth and Planetary Science Letters: A Letter Journal Devoted to the Development in Time of the Earth and Planetary System >Geomagnetic field secular variation in Pacific Ocean: A Bayesian reference curve based on Holocene Hawaiian lava flows
【24h】

Geomagnetic field secular variation in Pacific Ocean: A Bayesian reference curve based on Holocene Hawaiian lava flows

机译:太平洋地磁场世俗变异:基于全新世夏威夷熔岩流动的贝叶斯参考曲线

获取原文
获取原文并翻译 | 示例
           

摘要

Hawaii is an ideal place for reconstructing the past variations of the Earth's magnetic field in the Pacific Ocean thanks to the almost continuous volcanic activity during the last 10000 yrs. We present here an updated compilation of palaeomagnetic data from historic and radiocarbon dated Hawaiian lava flows available for the last ten millennia. A total of 278 directional and 66 intensity reference data have been used for the calculation of the first full geomagnetic field reference secular variation (SV) curves for central Pacific covering the last ten millennia. The obtained SV curves are calculated following recent advances on curve building based on the Bayesian statistics and are well constrained for the last five millennia while for older periods their error envelopes are wide due to the scarce number of reference data. The new Bayesian SV curves show three clear intensity maxima during the last 3000 yrs that are accompanied by sharp directional changes. Such short-term variations of the geomagnetic field could be interpreted as archaeomagnetic jerks and could be an interesting feature of the geomagnetic field variation in the Pacific Ocean that should be further explored by new data. (C) 2017 Elsevier B.V. All rights reserved.
机译:夏威夷是重建地球磁场在太平洋磁场的过去变化的理想场所,因为过去10000年的几乎连续的火山活动。我们在这里展示了从历史和RadioCarbon的古玩数据汇编夏威夷熔岩流量在过去的十千年中汇编。总共278个定向和66强度参考数据用于计算覆盖最后十千年的中央太平洋的第一个完整地质磁场参考世俗变化(SV)曲线。在基于贝叶斯统计数据的曲线建筑物最近的近期建设的进步之后计算所获得的SV曲线,并且在过去五千年内受到很好的限制,而对于较旧的时期,由于参考数据的稀缺数量,它们的错误信封很宽。新的贝叶斯SV曲线在最后3000年期间显示了三个清晰的强度最大值,伴随着敏锐的定向变化。这种地磁场的这种短期变化可以被解释为archaeomagnetic jerks,并且可能是太平洋地质磁场变异的有趣特征,应该通过新数据进一步探索。 (c)2017年Elsevier B.V.保留所有权利。

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