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

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 δ18OP re...

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Main Authors: Tyler, Jonathan J., Jones, Matthew D., Arrowsmith, Carol, Allott, Tim, Leng, Melanie J.
Format: Article
Published: Springer 2015
Subjects:
Online Access:https://eprints.nottingham.ac.uk/31632/
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author Tyler, Jonathan J.
Jones, Matthew D.
Arrowsmith, Carol
Allott, Tim
Leng, Melanie J.
author_facet Tyler, Jonathan J.
Jones, Matthew D.
Arrowsmith, Carol
Allott, Tim
Leng, Melanie J.
author_sort Tyler, Jonathan J.
building Nottingham Research Data Repository
collection Online Access
description 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 δ18OP rely 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 δ18OP from 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 δ18OP and common predictors (temperature, precipitation amount and the North Atlantic Oscillation index; NAO). Temperature and NAO are poor predictors of daily δ18OP in the British Isles, exhibiting weak and/or inconsistent effects both spatially and between seasons. By contrast δ18OP and 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 δ18OP patterns, particularly associated with Cylonic Lamb Weather Types. Mapping daily δ18OP across 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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spelling nottingham-316322020-05-04T17:25:44Z https://eprints.nottingham.ac.uk/31632/ Spatial patterns in the oxygen isotope composition of daily rainfall in the British Isles Tyler, Jonathan J. Jones, Matthew D. Arrowsmith, Carol Allott, Tim Leng, Melanie J. 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 δ18OP rely 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 δ18OP from 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 δ18OP and common predictors (temperature, precipitation amount and the North Atlantic Oscillation index; NAO). Temperature and NAO are poor predictors of daily δ18OP in the British Isles, exhibiting weak and/or inconsistent effects both spatially and between seasons. By contrast δ18OP and 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 δ18OP patterns, particularly associated with Cylonic Lamb Weather Types. Mapping daily δ18OP across 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. Springer 2015-12-29 Article PeerReviewed Tyler, Jonathan J., Jones, Matthew D., Arrowsmith, Carol, Allott, Tim and Leng, Melanie J. (2015) Spatial patterns in the oxygen isotope composition of daily rainfall in the British Isles. Climate Dynamics . pp. 1-17. ISSN 1432-0894 Oxygen Isotopes Amount Effect NAO British Isles http://link.springer.com/article/10.1007%2Fs00382-015-2945-y doi:10.1007/s00382-015-2945-y doi:10.1007/s00382-015-2945-y
spellingShingle Oxygen Isotopes
Amount Effect
NAO
British Isles
Tyler, Jonathan J.
Jones, Matthew D.
Arrowsmith, Carol
Allott, Tim
Leng, Melanie J.
Spatial patterns in the oxygen isotope composition of daily rainfall in the British Isles
title Spatial patterns in the oxygen isotope composition of daily rainfall in the British Isles
title_full Spatial patterns in the oxygen isotope composition of daily rainfall in the British Isles
title_fullStr Spatial patterns in the oxygen isotope composition of daily rainfall in the British Isles
title_full_unstemmed Spatial patterns in the oxygen isotope composition of daily rainfall in the British Isles
title_short Spatial patterns in the oxygen isotope composition of daily rainfall in the British Isles
title_sort spatial patterns in the oxygen isotope composition of daily rainfall in the british isles
topic Oxygen Isotopes
Amount Effect
NAO
British Isles
url https://eprints.nottingham.ac.uk/31632/
https://eprints.nottingham.ac.uk/31632/
https://eprints.nottingham.ac.uk/31632/