Browsing by Author "Evans, JP"

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    A comparison between direct and pan-derived measurements of the isotopic composition of atmospheric waters
    (The Modelling and Simulation Society of Australia and New Zealand Inc., 2011-12-12) Azcurra, CS; Hughes, CE; Parkes, SD; Hollins, SE; Gibson, JJ; McCabe, MF; Evans, JP
    The stable isotopes of water can be used to examine and quantify the contribution to atmospheric moisture from evaporation, transpiration and surface-waters. However, obtaining extensive and ongoing time series data of the isotopic composition of atmospheric moisture has been difficult. Presented here is an alternate method using an isotope mass balance approach to estimate the isotopic composition of atmospheric moisture using water samples collected from class A evaporation pans. While this evaporation pan method does not provide the high-resolution time series data that can be obtained from an isotope analyser taking in-situ measurements of atmospheric moisture, the method is relatively simple and inexpensive to set-up and maintain. In this preliminary investigation, a comparison between the isotopic composition of atmospheric moisture estimated from the evaporation pan method and in-situ measurements of the isotopic composition of water vapour using a Fourier Transform Infrared (FTIR) spectrometer deployed at the Lucas Heights weather station in New South Wales is undertaken. Through comparison of the two series of hydrogen isotope data, an assessment of the evaporation pan method can be made. Although there was some agreement between the isotopic composition of vapour measured by the FTIR spectrometer and the estimation for the atmospheric moisture (R2 = 0.49), the comparison is sensitive to climatic parameters that vary significantly within a 24-hour period such as the relative humidity of air and the air and pan temperatures. Inverting the model to use the FTIR spectrometer measurements at an hourly resolution improved the performance of the model (R2 =0.57). However, this also revealed that the model produced more depleted values of the evaporation pan water isotopes than those observed. In contrast, there was a variable relationship between the modelled and observed isotope values of atmospheric moisture. These conflicting results will need to be resolved before the evaporation pan method is broadly applied in isotope hydrology. © 2011 The Modelling and Simulation Society of Australia and New Zealand Inc.
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    Daily observations of rainfall, vapour and pan water δ2H for improved quantification of atmospheric and terrestrial water interactions
    (American Geophysical Union, 2012-12-03) Hughes, CE; Azcurra, CS; Parkes, SD; Hollins, SE; McCabe, MF; Evans, JP; Pickering, D; Gibson, JJ; Edwards, K
    The stable isotopes of water (δ2H, δ18O) have been used extensively to track the movement of water through the hydrological cycle. As water moves through the hydrological cycle, its isotopic composition changes (fractionation) as a result of phase changes and interactions with other waters. When combined with other measurements of water fluxes and volumes, the stable isotopes can provide information about sources, processing, and transport of water suitable for determining water and energy balances. While the isotopic composition of atmospheric moisture influences the isotopic composition of terrestrial waters, obtaining ongoing time series data of this has been difficult. One method for estimating the isotopic composition of atmospheric moisture combines the Craig-Gordon isotopic evaporation model with a mass balance approach, using water samples collected from Class A evaporation pans at weekly intervals. The method assumes steady-state conditions and thus does not represent the highly variable meteorological conditions that can strongly influence fractionation. Although water-sampling regimes cannot match the frequency of the observed variability in meteorological conditions, increasing the sampling resolution to a sub-weekly resolution will more closely align isotopic measurements with meteorological conditions and allow the assessment of established water isotope relationships at a greater temporal frequency. An alternate method for estimating the isotopic composition of atmospheric moisture is based on local precipitation being in equilibrium with atmospheric moisture. As per the evaporation pan method, it is assumed that steady-state conditions apply. At the Lucas Heights weather station in south-eastern Australia, atmospheric moisture water isotopes (δA) have been directly measured at sub-hourly intervals using a Fourier Transform Infrared (FTIR) spectrometer. This hydrogen isotope time series was evaluated against daily observations of isotopes in water from a Class A evaporation pan (δL) and in precipitation (δP) collected from the same site. This study assesses the validity of established (steady-state) relationships between liquid and vapor water isotopes for interactions that have been measured at the medium-resolution temporal scale, and provides a basis for improving flux estimates based on an isotope mass balance approach. ©Author(s) 2012
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    Intrinsic reduction of the ordered 4f magnetic moments in semiconducting rare-earth nitride thin films: DyN, ErN, and HoN
    (American Physical Society, 2014-02-26) Cortie, DL; Brown, JD; Brück, S; Saerbeck, T; Evans, JP; Fritzsche, H; Wang, XL; Downes, JE; Klose, F
    Polarized neutron reflectometry and x-ray reflectometry were used to determine the nanoscale magnetic and chemical depth profiles of the heavy rare-earth nitrides HoN, ErN, and DyN in the form of 15- to 40-nm-thick films. The net ferromagnetic components are much lower than the predictions of density-functional theory and Hund's rules for a simple ferromagnetic ground state in these 4f ionic materials, which points to the intrinsic contribution of crystal-field effects and noncollinear spin structures. The magnetic moment per rare-earth ion was determined as a function of temperature in the range 5–100 K at fields of 1–4 T. It is demonstrated that the films are stoichiometric within 1–3% and magnetically homogeneous on the nanometer scale.© 2014, American Physical Society.
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    Stable water isotope and surface heat flux simulation using ISOLSM: evaluation against in-situ measurements
    (Elsevier, 2015-04) Cai, MY; Wang, L; Parkes, SD; Strauss, J; McCabe, MF; Evans, JP; Griffiths, AD
    The stable isotopes of water are useful tracers of water sources and hydrological processes. Stable water isotope-enabled land surface modeling is a relatively new approach for characterizing the hydrological cycle, providing spatial and temporal variability for a number of hydrological processes. At the land surface, the integration of stable water isotopes with other meteorological measurements can assist in constraining surface heat flux estimates and discriminate between evaporation (E) and transpiration (T). However, research in this area has traditionally been limited by a lack of continuous in-situ isotopic observations. Here, the National Centre for Atmospheric Research stable isotope-enabled Land Surface Model (ISOLSM) is used to simulate the water and energy fluxes and stable water isotope variations. The model was run for a period of one month with meteorological data collected from a coastal sub-tropical site near Sydney, Australia. The modeled energy fluxes (latent heat and sensible heat) agreed reasonably well with eddy covariance observations, indicating that ISOLSM has the capacity to reproduce observed flux behavior. Comparison of modeled isotopic compositions of evapotranspiration (ET) against in-situ Fourier Transform Infrared spectroscopy (FTIR) measured bulk water vapor isotopic data (10 m above the ground), however, showed differences in magnitude and temporal patterns. The disparity is due to a small contribution from local ET fluxes to atmospheric boundary layer water vapor (∼1% based on calculations using ideal gas law) relative to that advected from the ocean for this particular site. Using ISOLSM simulation, the ET was partitioned into E and T with 70% being T. We also identified that soil water from different soil layers affected T and E differently based on the simulated soil isotopic patterns, which reflects the internal working of ISOLSM. These results highlighted the capacity of using the isotope-enabled models to discriminate between different hydrological components and add insight into expected hydrological behavior. © 2015, Elsevier B.V.