Spatial and seasonal isotope variability in precipitation across China: monthly isoscapes based on regionalized fuzzy clustering
dc.contributor.author | Wang, S | en_AU |
dc.contributor.author | Lei, S | en_AU |
dc.contributor.author | Zhang, MJ | en_AU |
dc.contributor.author | Hughes, CE | en_AU |
dc.contributor.author | Crawford, J | en_AU |
dc.contributor.author | Liu, ZF | en_AU |
dc.contributor.author | Qu, D | en_AU |
dc.date.accessioned | 2024-02-23T04:24:55Z | en_AU |
dc.date.available | 2024-02-23T04:24:55Z | en_AU |
dc.date.issued | 2022-06-01 | en_AU |
dc.date.statistics | 2024-02-23 | en_AU |
dc.description.abstract | The spatial patterns of stable hydrogen and oxygen isotopes in precipitation (precipitation isoscapes) provide a geographic perspective to understand the atmospheric processes in modern environment and paleoclimate records. Here we compiled stable isotope data in modern precipitation at 223 sites across China and 48 in surrounding countries, and used regionalized fuzzy clustering to create monthly precipitation isoscapes for China (C-Isoscape). Based on regressions using spatial and climatic parameters for 12 months, the best-fitting equations were chosen for four climate clusters, and then the four layers were weighted using fuzzy membership. The moisture transportation path, controlled by the westerlies and the monsoon, results in different spatial and seasonal diversity of precipitation isotopes. Based on C-Isoscape, we determined a nationwide meteoric water line asδ2H = 7.4δ18O + 5.5 using least squares regression orδ2H = 8.0δ18O + 10.2 using precipitation weighted reduced major axis regression. Compared with previous global products, the C-Isoscape usually shows precipitation more enriched in18O and2H in summer and more depleted in winter for northwest China, while the C-Isoscape values are more enriched in heavy isotopes in most months for southwest China. The new monthly precipitation isoscapes provide an accurate and high-resolution mapping for Chinese precipitation isotopes, allowing for future intra-annual atmospheric process diagnostics using stable hydrogen and oxygen isotope in precipitation in the region. Ó 2022 American Meteorological Society. | en_AU |
dc.description.sponsorship | The authors greatly thank all the researchers for providing the isotope data in precipitation across China, especially the IAEA/WMO Global Network of Isotopes in Precipitation, Tandong Yao (Institute of Tibetan Plateau Research, Chinese Academy of Sciences), Xianfang Song (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences), Lide Tian (Yunnan University), Liangcheng Tan (Institute of Earth Environment, Chinese Academy of Sciences), Xiaofan Zhu (Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences), Xue Qiu (Lanzhou City University), Xiaoyan Wang (Weinan Normal University), Fenli Chen (Northwest Normal University), Liangju Zhao (Northwest University), Yanlong Kong (Institute of Geology and Geophysics, Chinese Academy of Sciences), Congjian Sun (Shanxi Normal University) and Huawu Wu (Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences). The authors also thank Liwei Wang, Lihong Duan, Yijie Xia (Northwest Normal University), and Shaohua Dang (Tongji University) for help in data processing and discussion. The research is supported by the National Natural Science Foundation of China (41971034 and 41701028), the Foundation for Distinguished Young Scholars of Gansu Province (20JR10RA112), and the Northwest Normal University (NWNU-LKZD2021-04). | en_AU |
dc.identifier.citation | Wang, S., S. Lei, M. Zhang, C. Hughes, J. Crawford, Z. Liu, & D. Qu, (2022). Spatial and seasonal isotope variability in precipitation across China: monthly isoscapes based on regionalized fuzzy clustering. Journal of Climate, 35, 3411–3425. doi:10.1175/JCLI-D-21-0451.1. | en_AU |
dc.identifier.issn | 0894-8755 | en_AU |
dc.identifier.issn | 1520-0442 | en_AU |
dc.identifier.issue | 11 | en_AU |
dc.identifier.journaltitle | Journal of Climate | en_AU |
dc.identifier.pagination | 3411-3425 | en_AU |
dc.identifier.uri | http://dx.doi.org/10.1175/jcli-d-21-0451.1 | en_AU |
dc.identifier.uri | https://apo.ansto.gov.au/handle/10238/15426 | en_AU |
dc.identifier.volume | 35 | en_AU |
dc.language.iso | en | en_AU |
dc.publisher | American Meteorological Society | en_AU |
dc.subject | Isotopes | en_AU |
dc.subject | China | en_AU |
dc.subject | Fuzzy logic | en_AU |
dc.subject | Precipitation | en_AU |
dc.subject | Seasons | en_AU |
dc.subject | Hydrogen isotopes | en_AU |
dc.subject | Oxygen isotopes | en_AU |
dc.title | Spatial and seasonal isotope variability in precipitation across China: monthly isoscapes based on regionalized fuzzy clustering | en_AU |
dc.type | Journal Article | en_AU |
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