首页> 外文期刊>Science of the total environment >Analysis of CO_2 daily cycle in the low atmosphere at a rural site
【24h】

Analysis of CO_2 daily cycle in the low atmosphere at a rural site

机译:农村低大气层CO_2日循环的分析

获取原文
获取原文并翻译 | 示例
       

摘要

Department of Applied Physics, Faculty of Sciences, University of Valladolid, c/ Doctor Mergelina s, 47071 Valladolid. Spainl;Department of Applied Physics, Faculty of Sciences, University of Valladolid, c/ Doctor Mergelina s, 47071 Valladolid. Spainl;Department of Applied Physics, Faculty of Sciences, University of Valladolid, c/ Doctor Mergelina s, 47071 Valladolid. Spainl;Department of Applied Physics, Faculty of Sciences, University of Valladolid, c/ Doctor Mergelina s, 47071 Valladolid. Spainl;%Directional analysis procedures were extended to study the CO_2 daily cycle in the low atmosphere at a rural site. Weighted average, asymmetric circular functions, and conditional probability curves were applied to concentrations recorded at three levels near surface. Wind speed and potential temperature gradient were the meteorological variables used to establish a link to CO_2. The highest weighted concentration was obtained for wind speed below 4ms~(-1) and for potential temperature gradient above 0.05 ℃m~(-1) Asymmetric circular functions were fitted to selected percentiles, the generalized von Mises function providing the lowest RMSE. Slight differences among levels were observed in the transition between day and night, and higher gradients were observed during the night. Four intervals were proposed when concentrations were binned by intervals of meteorological variables. Wind speed was only relevant to separate intermediate concentrations. Finally, conditional probability curves provided differences between the highest and lowest levels in up to 20% of cases at 20-22 GMT.
机译:瓦拉杜利德大学理学院应用物理系,c / Mergelina博士,编号47071瓦拉杜利德。西班牙;瓦拉杜利德大学理学院应用物理系,c / Mergelina博士/ n,47071瓦拉杜利德。西班牙;瓦拉杜利德大学理学院应用物理系,c / Mergelina博士/ n,47071瓦拉杜利德。西班牙;瓦拉杜利德大学理学院应用物理系,c / Mergelina博士/ n,47071瓦拉杜利德。 Spainl;%Direction分析程序已扩展为研究农村站点低气压下的CO_2日循环。将加权平均,不对称圆函数和条件概率曲线应用于在地表附近三个级别记录的浓度。风速和潜在的温度梯度是用于建立与CO_2的联系的气象变量。当风速低于4ms〜(-1)且潜在温度梯度高于0.05℃m〜(-1)时,权重浓度最高。选定的百分位数拟合不对称圆形函数,广义von Mises函数提供最低的RMSE。在昼夜之间的过渡中观察到水平之间的细微差异,并且在夜间观察到更高的梯度。当按照气象变量的间隔对浓度进行分类时,提出了四个间隔。风速仅与单独的中间浓度有关。最后,条件概率曲线提供了20-22 GMT时高达20%的案例的最高和最低水平之间的差异。

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