A rapid and precise method for sampling and determining the oxygen isotope ratio of atmospheric water vapor

Helliker, Brent R.; Roden, John S.; Cook, C. Sharp; Ehleringer, James R.

doi:10.1002/rcm.659

Cited by 83 publications

(73 citation statements)

References 10 publications

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“…The airflow rate was set at 5 cc s −1 . The sampling time was about 30 min, which was long enough to collect sufficient water volume (≥ 50 µL) for isotope ratio analyses in the laboratory (Helliker et al 2002), and was consistent with the averaging intervals of meteorological measurements.…”

Section: Atmospheric Water Vapourmentioning

confidence: 61%

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Contributions of evaporation, isotopic non‐steady state transpiration and atmospheric mixing on the δ¹⁸O of water vapour in Pacific Northwest coniferous forests

Lai

Ehleringer

Bond

et al. 2005

Plant Cell & Environment

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145

157

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Section: Atmospheric Water Vapourmentioning

confidence: 61%

“…Atmospheric water vapour was cryogenically captured and analysed for oxygen isotope ratios using the sampling protocol described by Helliker et al (2002). Canopy air was collected from three heights: 0.5, 20 and 60 m, representing the lower, middle and top portion of the canopy, respectively.…”

Section: Atmospheric Water Vapourmentioning

confidence: 99%

Contributions of evaporation, isotopic non‐steady state transpiration and atmospheric mixing on the δ¹⁸O of water vapour in Pacific Northwest coniferous forests

Lai

Ehleringer

Bond

et al. 2005

Plant Cell & Environment

Self Cite

145

157

View full text Add to dashboard Cite

show abstract

“…In addition, extensive laboratory work is necessary to extract a vapor sample from a cold trap. More recently, alternative moisture trapping techniques have been reported, resulting in more sophisticated methods (Helliker et al, 2002;Han et al, 2006;Peters and Yakir, 2010). However, these methods are still labor intensive and require samples to be prepared in a laboratory.…”

Section: N Kurita Et Al: Evaluation Of Water Vapor Isotope Analyzermentioning

confidence: 99%

Evaluation of continuous water vapor δD and δ<sup>18</sup>O measurements by off-axis integrated cavity output spectroscopy

et al. 2012

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Abstract. Recent commercially available laser spectroscopy systems enabled us to continuously and reliably measure the δD and δ 18 O of atmospheric water vapor. The use of this new technology is becoming popular because of its advantages over the conventional approach based on cold trap collection. These advantages include much higher temporal resolution/continuous monitoring and the ability to make direct measurements of both isotopes in the field. Here, we evaluate the accuracy and precision of the laser based water vapor isotope instrument through a comparison of measurements with those found using the conventional cold trap method. A commercially available water vapor isotope analyzer (WVIA) with the vaporization system of a liquid water standard (Water Vapor Isotope Standard Source, WVISS) from Los Gatos Research (LGR) Inc. was used for this study. We found that the WVIA instrument can provide accurate results if (1) correction is applied for time-dependent isotope drift, (2) normalization to the VSMOW/SLAP scale is implemented, and (3) the water vapor concentration dependence of the isotopic ratio is also corrected. In addition, since the isotopic value of water vapor generated by the WVISS is also dependent on the concentration of water vapor, this effect must be considered to determine the true water vapor concentration effect on the resulting isotope measurement.To test our calibration procedure, continuous water vapor isotope measurements using both a laser instrument and a cold trap system were carried out at the IAEA Isotope Hydrology Laboratory in Vienna from August to December 2011. The calibrated isotopic values measured using the WVIA agree well with those obtained via the cold trap method. The standard deviation of the isotopic difference between both methods is about 1.4 ‰ for δD and 0.28 ‰ for δ 18 O. This precision allowed us to obtain reliable values for d-excess. The day-to-day variation of d-excess measured by WVIA also agrees well with that found using the cold trap method. These results demonstrate that a coupled system, using commercially available WVIA and WVISS instruments can provide continuous and accurate isotope data, with results achieved similar to those obtained using the conventional method, but with drastically improved temporal resolution.

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“…For this study, as in Still et al (2009), we used the monthly mean precipitation δ 18 O values averaged over 2-5 yr from analyses of archived water samples collected by the EPA National Atmospheric Deposition Program (NADP) network (Lynch et al, 1995) between 1980 and 1990 and interpolated across the US (Welker, 2000). Many factors affect the δ 18 O value of vapor (δ 18 Ov; Lee et al, 2006;Helliker et al, 2002;Lai et al, 2006;White and Gedzelman, 1984). We set δ 18 Ov to be in a temperaturedependent isotopic equilibrium with the most recent precipitation event (Still et al, 2009).…”

Section: Incorporation Of the Isotope Land-surface Model (Isolsm)mentioning

confidence: 99%

Hydrologic control of the oxygen isotope ratio of ecosystem respiration in a semi-arid woodland

et al. 2013

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We conducted high frequency measurements of the δ¹⁸O value of atmospheric CO₂ from a juniper (Juniperus monosperma) woodland in New Mexico, USA, over a four-year period to investigate climatic and physiological regulation of the δ¹⁸O value of ecosystem respiration (δ_R). Rain pulses reset δ_R with the dominant water source isotope composition, followed by progressive enrichment of δ_R. Transpiration (E_T) was significantly related to post-pulse δ_R enrichment because the leaf water δ¹⁸O value showed strong enrichment with increasing vapor pressure deficit that occurs following rain. Post-pulse δ_R enrichment was correlated with both E_T and the ratio of E_T to soil evaporation (E_T/E_S). In contrast, the soil water δ¹⁸O value was relatively stable and δ_R enrichment was not correlated with E_S. Model simulations captured the large post-pulse δ_R enrichments only when the offset between xylem and leaf water δ¹⁸O value was modeled explicitly and when a gross flux model for CO₂ retro-diffusion was included. Drought impacts δ_R through the balance between evaporative demand, which enriches δ_R, and low soil moisture availability, which attenuates δ_R enrichment through reduced E_T. The net result, observed throughout all four years of our study, was a negative correlation of post-precipitation δ_R enrichment with increasing drought

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A rapid and precise method for sampling and determining the oxygen isotope ratio of atmospheric water vapor

Cited by 83 publications

References 10 publications

Contributions of evaporation, isotopic non‐steady state transpiration and atmospheric mixing on the δ¹⁸O of water vapour in Pacific Northwest coniferous forests

Contributions of evaporation, isotopic non‐steady state transpiration and atmospheric mixing on the δ¹⁸O of water vapour in Pacific Northwest coniferous forests

Evaluation of continuous water vapor δD and δ<sup>18</sup>O measurements by off-axis integrated cavity output spectroscopy

Hydrologic control of the oxygen isotope ratio of ecosystem respiration in a semi-arid woodland

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A rapid and precise method for sampling and determining the oxygen isotope ratio of atmospheric water vapor

Cited by 83 publications

References 10 publications

Contributions of evaporation, isotopic non‐steady state transpiration and atmospheric mixing on the δ18O of water vapour in Pacific Northwest coniferous forests

Contributions of evaporation, isotopic non‐steady state transpiration and atmospheric mixing on the δ18O of water vapour in Pacific Northwest coniferous forests

Evaluation of continuous water vapor δD and δ&lt;sup&gt;18&lt;/sup&gt;O measurements by off-axis integrated cavity output spectroscopy

Hydrologic control of the oxygen isotope ratio of ecosystem respiration in a semi-arid woodland

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Contributions of evaporation, isotopic non‐steady state transpiration and atmospheric mixing on the δ¹⁸O of water vapour in Pacific Northwest coniferous forests

Contributions of evaporation, isotopic non‐steady state transpiration and atmospheric mixing on the δ¹⁸O of water vapour in Pacific Northwest coniferous forests

Evaluation of continuous water vapor δD and δ<sup>18</sup>O measurements by off-axis integrated cavity output spectroscopy