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Precipitation isoscapes for New Zealand: enhanced temporal detail using precipitation-weighted daily climatology.

Authors :
Baisden, W. Troy
Keller, Elizabeth D.
Van Hale, Robert
Frew, Russell D.
Wassenaar, Leonard I.
Source :
Isotopes in Environmental & Health Studies. Aug-Oct2016, Vol. 52 Issue 4/5, p343-352. 10p.
Publication Year :
2016

Abstract

Predictive understanding of precipitation δ2H and δ18O in New Zealand faces unique challenges, including high spatial variability in precipitation amounts, alternation between subtropical and sub-Antarctic precipitation sources, and a compressed latitudinal range of 34 to 47 °S. To map the precipitation isotope ratios across New Zealand, three years of integrated monthly precipitation samples were acquired from >50 stations. Conventional mean-annual precipitation δ2H and δ18O maps were produced by regressions using geographic and annual climate variables. Incomplete data and short-term variation in climate and precipitation sources limited the utility of this approach. We overcome these difficulties by calculating precipitation-weighted monthly climate parameters using national 5-km-gridded daily climate data. This data plus geographic variables were regressed to predict δ2H, δ18O, andd-excessat all sites. The procedure yields statistically-valid predictions of the isotope composition of precipitation (long-term average root mean square error (RMSE) for δ18O = 0.6 ‰; δ2H = 5.5 ‰); and monthly RMSE δ18O = 1.9 ‰, δ2H = 16 ‰. This approach has substantial benefits for studies that require the isotope composition of precipitation during specific time intervals, and may be further improved by comparison to daily and event-based precipitation samples as well as the use of back-trajectory calculations. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10256016
Volume :
52
Issue :
4/5
Database :
Academic Search Index
Journal :
Isotopes in Environmental & Health Studies
Publication Type :
Academic Journal
Accession number :
117808636
Full Text :
https://doi.org/10.1080/10256016.2016.1153472