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A global database of water vapor isotopes measured with high temporal resolution infrared laser spectroscopy
Title: A global database of water vapor isotopes measured with high temporal resolution infrared laser spectroscopy
Authors: Wei, ZhongwangLee, XuhuiAemisegger, FranziskaBenetti, MarionBerkelhammer, MaxCasado, MathieuCaylor, KellyChristner, EmanuelDyroff, ChristophGarcía Rodríguez, Omaira Elena ORCID RESEARCHERID Autor AEMETGonzález Ramos, Yenny ORCID Autor AEMETGriffis, TimothyKurita, NaoyukiLiang, JieLiang, Mao-ChangLin, GuanghuiNoone, DavidGribanov, KonstantinMunksgaard, Niels C.Schneider, Matthias RESEARCHERID Ritter, FrançoisSteen-Larsen, Hans ChristianVallet-Coulomb, ChristineWen, XuefaWright, Jonathon S.Xiao, WeiYoshimura, Kei
Keywords: Water vapor; Isotopic composition; Database
Issue Date: 2019
Publisher: Springer Nature Publishing
Citation: Scientific Data. 2019, 6:180302
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Abstract: The isotopic composition of water vapour provides integrated perspectives on the hydrological histories of air masses and has been widely used for tracing physical processes in hydrological and climatic studies. Over the last two decades, the infrared laser spectroscopy technique has been used to measure the isotopic composition of water vapour near the Earth’s surface. Here, we have assembled a global database of high temporal resolution stable water vapour isotope ratios (δ18O and δD) observed using this measurement technique. As of March 2018, the database includes data collected at 35 sites in 15 Köppen climate zones from the years 2004 to 2017. The key variables in each dataset are hourly values of δ18O and δD in atmospheric water vapour. To support interpretation of the isotopologue data, synchronized time series of standard meteorological variables from in situ observations and ERA5 reanalyses are also provided. This database is intended to serve as a centralized platform allowing researchers to share their vapour isotope datasets, thus facilitating investigations that transcend disciplinary and geographic boundaries.
Sponsorship : This research has been supported by the National Science Foundation (Grant AGS-1520684 to X. L. and ATM-0546476 to T. G.) and a Faculty Development Grant from the College of Food, Agricultural, and Natural Resource Sciences, University of Minnesota (to T. G.). For the Camargue site, data acquisition was supported by the French CNRS-INSU-EC2CO program, and by “Région PACA”. For the Kourovka site, data acquisition was supported by the contract No.02.A03.21.0006 and by the research project No.3.6064.2017/8.9.
ISSN: 2052-4463
Appears in Collections:Artículos científicos 2019-2022

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