...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>International Journal of Biometeorology: Journal of the International Society of Biometeorology >A new approach used to explore associations of current Ambrosia pollen levels with current and past meteorological elements
【24h】

A new approach used to explore associations of current Ambrosia pollen levels with current and past meteorological elements

机译：一种新的方法，用于探索当前的佳肴花粉水平与当前和过去的气象要素的关联

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The paper examines the sensitivity of daily airborne Ambrosia (ragweed) pollen levels of a current pollen season not only on daily values of meteorological variables during this season but also on the past meteorological conditions. The results obtained from a 19-year data set including daily ragweed pollen counts and ten daily meteorological variables are evaluated with special focus on the interactions between the phyto-physiological processes and the meteorological elements. Instead of a Pearson correlation measuring the strength of the linear relationship between two random variables, a generalised correlation that measures every kind of relationship between random vectors was used. These latter correlations between arrays of daily values of the ten meteorological elements and the array of daily ragweed pollen concentrations during the current pollen season were calculated. For the current pollen season, the six most important variables are two temperature variables (mean and minimum temperatures), two humidity variables (dew point depression and rainfall) and two variables characterising the mixing of the air (wind speed and the height of the planetary boundary layer). The six most important meteorological variables before the current pollen season contain four temperature variables (mean, maximum, minimum temperatures and soil temperature) and two variables that characterise large-scale weather patterns (sea level pressure and the height of the planetary boundary layer). Key periods of the past meteorological variables before the current pollen season have been identified. The importance of this kind of analysis is that a knowledge of the past meteorological conditions may contribute to a better prediction of the upcoming pollen season.
机译：本文考察了当前花粉季节每日空中传播的豚草（豚草）花粉水平的敏感性，不仅取决于该季节的每日气象变量值，而且还取决于过去的气象条件。从包括豚草花粉计数和十个每日气象变量的19年数据集中获得的结果进行了评估，并特别着重于植物生理过程与气象要素之间的相互作用。代替测量两个随机变量之间线性关系强度的皮尔逊相关性，使用了测量随机向量之间各种关系的广义相关性。计算了十个气象要素的每日值阵列与当前花粉季节中的豚草花粉浓度阵列之间的后一种相关性。对于当前的花粉季节，六个最重要的变量是两个温度变量（平均和最低温度），两个湿度变量（露点下降和降雨）和两个表征空气混合的变量（风速和行星高度）边界层）。当前花粉季节之前的六个最重要的气象变量包含四个温度变量（平均，最高，最低温度和土壤温度）和两个表征大规模天气模式的变量（海平面压力和行星边界层的高度）。已经确定了当前花粉季节之前过去气象变量的关键时期。这种分析的重要性在于，了解过去的气象条件可能有助于更好地预测即将到来的花粉季节。

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