气候变化领域集成服务门户(CCPortal): Global sinusoidal seasonality in precipitation isotopes

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DOI	10.5194/hess-23-3423-2019
	Global sinusoidal seasonality in precipitation isotopes
	Allen S.T.; Jasechko S.; Berghuijs W.R.; Welker J.M.; Goldsmith G.R.; Kirchner J.W.
发表日期	2019
ISSN	1027-5606
起始页码	3423
结束页码	3436
卷号	23 期号:8
英文摘要	Quantifying seasonal variations in precipitation δ2H and δ18O is important for many stable isotope applications, including inferring plant water sources and streamflow ages. Our objective is to develop a data product that concisely quantifies the seasonality of stable isotope ratios in precipitation. We fit sine curves defined by amplitude, phase, and offset parameters to quantify annual precipitation isotope cycles at 653 meteorological stations on all seven continents. At most of these stations, including in tropical and subtropical regions, sine curves can represent the seasonal cycles in precipitation isotopes. Additionally, the amplitude, phase, and offset parameters of these sine curves correlate with site climatic and geographic characteristics. Multiple linear regression models based on these site characteristics capture most of the global variation in precipitation isotope amplitudes and offsets; while phase values were not well predicted by regression models globally, they were captured by zonal (0-30° and 30-90°) regressions, which were then used to produce global maps. These global maps of sinusoidal seasonality in precipitation isotopes based on regression models were adjusted for the residual spatial variations that were not captured by the regression models. The resulting mean prediction errors were 0.49% for δ18O amplitude, 0.73% for δ18O offset (and 4.0 % and 7.4 % for δ2H amplitude and offset), 8 d for phase values at latitudes outside of 30°, and 20 d for phase values at latitudes inside of 30°. We make the gridded global maps of precipitation δ2H and δ18O seasonality publicly available. We also make tabulated site data and fitted sine curve parameters available to support the development of regionally calibrated models, which will often be more accurate than our global model for regionally specific studies. © 2019 The Author(s).
语种	英语
scopus关键词	Linear regression; Tropics; Annual precipitation; Geographic characteristics; Meteorological station; Multiple linear regression models; Site characteristics; Spatial variations; Stable isotope ratios; Subtropical regions; Isotopes; precipitation (chemistry); seasonality; spatial variation; stable isotope; streamflow
来源期刊	Hydrology and Earth System Sciences
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/159624
作者单位	Allen, S.T., Department of Environmental Systems Science, ETH Zurich, Zurich, 8092, Switzerland; Jasechko, S., Bren School of Environmental Science and Management, University of California at Santa Barbara, Santa Barbara, CA 93117, United States; Berghuijs, W.R., Department of Environmental Systems Science, ETH Zurich, Zurich, 8092, Switzerland; Welker, J.M., Ecology and Genetics Research Unit, University of Oulu, Oulu, 90014, Finland, Biological Sciences Department, University of Alaska, Anchorage, AL, United States; Goldsmith, G.R., Schmid College of Science and Technology, Chapman University, Orange, CA 92866, United States; Kirchner, J.W., Department of Environmental Systems Science, ETH Zurich, Zurich, 8092, Switzerland, Swiss Federal Research Institute WSL, Birmensdorf, 8903, Switzerland, Department of Earth and Planetary Science, University of California, Berkeley, CA 94709, United States
推荐引用方式 GB/T 7714	Allen S.T.,Jasechko S.,Berghuijs W.R.,et al. Global sinusoidal seasonality in precipitation isotopes[J],2019,23(8).
APA	Allen S.T.,Jasechko S.,Berghuijs W.R.,Welker J.M.,Goldsmith G.R.,&Kirchner J.W..(2019).Global sinusoidal seasonality in precipitation isotopes.Hydrology and Earth System Sciences,23(8).
MLA	Allen S.T.,et al."Global sinusoidal seasonality in precipitation isotopes".Hydrology and Earth System Sciences 23.8(2019).