| Literature DB >> 27007914 |
W Troy Baisden1, Elizabeth D Keller1, Robert Van Hale2, Russell D Frew2, Leonard I Wassenaar3.
Abstract
Predictive understanding of precipitation δ(2)H and δ(18)O 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 δ(2)H and δ(18)O 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 δ(2)H, δ(18)O, and d-excess at all sites. The procedure yields statistically-valid predictions of the isotope composition of precipitation (long-term average root mean square error (RMSE) for δ(18)O = 0.6 ‰; δ(2)H = 5.5 ‰); and monthly RMSE δ(18)O = 1.9 ‰, δ(2)H = 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.Keywords: Hydrogen-2; New Zealand; isoscapes; isotope hydrology; oxygen-18; precipitation; spatial depiction
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Year: 2016 PMID: 27007914 DOI: 10.1080/10256016.2016.1153472
Source DB: PubMed Journal: Isotopes Environ Health Stud ISSN: 1025-6016 Impact factor: 1.675