Spatial patterns in the oxygen isotope composition of daily rainfall in the British Isles

Spatial patterns in the oxygen isotope composition of daily rainfall in the British Isles
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不列颠群岛每日降雨量氧同位素组成的空间模式

DOI:
10.1007/s00382-015-2945-y
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发表时间:
2015
期刊:
影响因子:
4.6
通讯作者:
Tyler J
Tyler J
中科院分区:
地球科学2区
文献类型:
--
作者:
Tyler J

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了解现代气候与降水氧同位素组成(δ 18 OP)之间的关系对于从各种档案中获得严格的古气候重建至关重要。迄今为止,大多数关于气象控制δ 18 OPrely的实证研究都是基于单个地点的日、事件尺度或月时间序列,导致统计模型的代表性和这些关系背后的机制存在不确定性。在这里,我们采取了另一种方法,通过分析来自不列颠群岛多个站点(n= 10-70个站点)的δ 18 OP的每日模式。我们使用这些数据来检验δ 18 OP和常见的预测因子(温度,降水量和北大西洋涛动指数; NAO)之间的回归统计的空间和季节异质性。温度和NAO是不列颠群岛每日δ 18 OP的不良预测因子,在空间和季节之间表现出弱和/或不一致的影响。相比之下,δ 18 OP和降雨量在大多数地点一致相关,并在所有分析的月份,在回归系数的空间和时间变化。这些地图还允许与每日天气类型进行比较,并建议特征δ 18 OP模式,特别是与Cylonic Lamb天气类型相关。因此,绘制不列颠群岛的每日δ 18 OP图提供了一个更连贯的δ 18 OP模式图,这将最终导致对气候控制的更好理解。这些观测结果是朝着建立一个更详细的机制框架迈出的又一步,该框架用于解释降雨中的稳定同位素作为古气候和水文示踪剂。
Understanding the modern day relationship between climate and the oxygen isotopic composition of precipitation (δ18OP) is crucial for obtaining rigorous palaeoclimate reconstructions from a variety of archives. To date, the majority of empirical studies into the meteorological controls over δ18OPrely upon daily, event scale, or monthly time series from individual locations, resulting in uncertainties concerning the representativeness of statistical models and the mechanisms behind those relationships. Here, we take an alternative approach by analysing daily patterns in δ18OPfrom multiple stations across the British Isles (n= 10–70 stations). We use these data to examine the spatial and seasonal heterogeneity of regression statistics between δ18OPand common predictors (temperature, precipitation amount and the North Atlantic Oscillation index; NAO). Temperature and NAO are poor predictors of daily δ18OPin the British Isles, exhibiting weak and/or inconsistent effects both spatially and between seasons. By contrast δ18OPand rainfall amount consistently correlate at most locations, and for all months analysed, with spatial and temporal variability in the regression coefficients. The maps also allow comparison with daily synoptic weather types, and suggest characteristic δ18OPpatterns, particularly associated with Cylonic Lamb Weather Types. Mapping daily δ18OPacross the British Isles therefore provides a more coherent picture of the patterns in δ18OP, which will ultimately lead to a better understanding of the climatic controls. These observations are another step forward towards developing a more detailed, mechanistic framework for interpreting stable isotopes in rainfall as a palaeoclimate and hydrological tracer.
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影响因子: --
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