A Unified Interpretation of Variability in Precipitation Isotope Ratios

Nicholas Siler College of Earth, Ocean, and Atmospheric Sciences, Oregon State University, Corvallis, Oregon

Search for other papers by Nicholas Siler in
Current site
Google Scholar
PubMed
Close
https://orcid.org/0000-0002-0579-6541
,
Richard P. Fiorella New Mexico Consortium, Los Alamos, New Mexico
Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, New Mexico

Search for other papers by Richard P. Fiorella in
Current site
Google Scholar
PubMed
Close
, and
Tyler Kukla College of Earth, Ocean, and Atmospheric Sciences, Oregon State University, Corvallis, Oregon
Department of Atmospheric Sciences, University of Washington, Seattle, Washington

Search for other papers by Tyler Kukla in
Current site
Google Scholar
PubMed
Close
Restricted access

Abstract

Several mechanisms have been proposed to explain why the isotope ratios of precipitation vary in space and time and why they correlate with other climate variables like temperature and precipitation. Here, we argue that this behavior is best understood through the lens of radiative transfer, which treats the depletion of atmospheric vapor transport by precipitation as analogous to the attenuation of light by absorption or scattering. Building on earlier work by Siler et al., we introduce a simple model that uses the equations of radiative transfer to approximate the two-dimensional pattern of the oxygen isotope composition of precipitation (δp) from monthly mean hydrologic variables. The model accurately simulates the spatial and seasonal variability in δp within a state-of-the-art climate model and permits a simple decomposition of δp variability into contributions from gradients in evaporation and the length scale of vapor transport. Outside the tropics, δp is mostly controlled by gradients in evaporation, whose dependence on temperature explains the positive correlation between δp and temperature (i.e., the temperature effect). At low latitudes, δp is mostly controlled by gradients in the transport length scale, whose inverse relationship with precipitation explains the negative correlation between δp and precipitation (i.e., the amount effect). This suggests that the temperature and amount effects are both mostly explained by the variability in upstream rainout, but they reflect distinct mechanisms governing rainout at different latitudes.

Significance Statement

The isotopic composition of precipitation has long been used to make inferences about past climates based on its observed relationship with precipitation in the tropics and with temperature at higher latitudes. These relationships—known as the “amount effect” and “temperature effect,” respectively—have been attributed to many different mechanisms, most of which are thought to operate at either high or low latitudes but not both. Here, we present a unified framework for interpreting the isotope variability that can explain the latitude dependence of the temperature and amount effects despite making no distinction between high and low latitudes. Although our results are generally consistent with certain interpretations of the amount effect, they suggest that the temperature effect is widely misunderstood.

© 2025 American Meteorological Society. This published article is licensed under the terms of the default AMS reuse license. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: Nicholas Siler, nick.siler@oregonstate.edu

Abstract

Several mechanisms have been proposed to explain why the isotope ratios of precipitation vary in space and time and why they correlate with other climate variables like temperature and precipitation. Here, we argue that this behavior is best understood through the lens of radiative transfer, which treats the depletion of atmospheric vapor transport by precipitation as analogous to the attenuation of light by absorption or scattering. Building on earlier work by Siler et al., we introduce a simple model that uses the equations of radiative transfer to approximate the two-dimensional pattern of the oxygen isotope composition of precipitation (δp) from monthly mean hydrologic variables. The model accurately simulates the spatial and seasonal variability in δp within a state-of-the-art climate model and permits a simple decomposition of δp variability into contributions from gradients in evaporation and the length scale of vapor transport. Outside the tropics, δp is mostly controlled by gradients in evaporation, whose dependence on temperature explains the positive correlation between δp and temperature (i.e., the temperature effect). At low latitudes, δp is mostly controlled by gradients in the transport length scale, whose inverse relationship with precipitation explains the negative correlation between δp and precipitation (i.e., the amount effect). This suggests that the temperature and amount effects are both mostly explained by the variability in upstream rainout, but they reflect distinct mechanisms governing rainout at different latitudes.

Significance Statement

The isotopic composition of precipitation has long been used to make inferences about past climates based on its observed relationship with precipitation in the tropics and with temperature at higher latitudes. These relationships—known as the “amount effect” and “temperature effect,” respectively—have been attributed to many different mechanisms, most of which are thought to operate at either high or low latitudes but not both. Here, we present a unified framework for interpreting the isotope variability that can explain the latitude dependence of the temperature and amount effects despite making no distinction between high and low latitudes. Although our results are generally consistent with certain interpretations of the amount effect, they suggest that the temperature effect is widely misunderstood.

© 2025 American Meteorological Society. This published article is licensed under the terms of the default AMS reuse license. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: Nicholas Siler, nick.siler@oregonstate.edu
Save
  • Aggarwal, P. K., O. A. Alduchov, K. O. Froehlich, L. J. Araguas-Araguas, N. C. Sturchio, and N. Kurita, 2012: Stable isotopes in global precipitation: A unified interpretation based on atmospheric moisture residence time. Geophys. Res. Lett., 39, L11705, https://doi.org/10.1029/2012GL051937.

    • Search Google Scholar
    • Export Citation
  • Aron, P. G., C. J. Poulsen, R. P. Fiorella, N. E. Levin, and R. P. Acosta, B. J. Yanites, and E. J. Cassel, 2021: Variability and controls on δ18O, d-excess, and Δ′17O in southern Peruvian precipitation. J. Geophys. Res. Atmos., 126, e2020JD034009, https://doi.org/10.1029/2020JD034009.

    • Search Google Scholar
    • Export Citation
  • Bailey, A., E. Posmentier, and X. Feng, 2018: Patterns of evaporation and precipitation drive global isotopic changes in atmospheric moisture. Geophys. Res. Lett., 45, 70937101, https://doi.org/10.1029/2018GL078254.

    • Search Google Scholar
    • Export Citation
  • Bailey, A., D. Noone, K. Cobb, A. Atwood, S. Dee, and J. Nusbaumer, 2021: Water isotopes and climate. A US CLIVAR Workshop Rep., 46 pp., https://doi.org/10.5065/RMYF-QW78.

  • Bowen, G. J., Z. Cai, R. P. Fiorella, and A. L. Putman, 2019: Isotopes in the water cycle: Regional- to global-scale patterns and applications. Annu. Rev. Earth Planet. Sci., 47, 453479, https://doi.org/10.1146/annurev-earth-053018-060220.

    • Search Google Scholar
    • Export Citation
  • Charles, C. D., D. Rind, J. Jouzel, R. D. Koster, and R. G. Fairbanks, 1994: Glacial-interglacial changes in moisture sources for Greenland: Influences on the ice core record of climate. Science, 263, 508511, https://doi.org/10.1126/science.263.5146.508.

    • Search Google Scholar
    • Export Citation
  • Craig, H., and L. I. Gordon, 1965: Deuterium and Oxygen 18 Variations in the Ocean and the Marine Atmosphere. Consiglio Nazionale delle Richerche, Laboratorio de Geologia Nucleare, 122 pp.

  • Danabasoglu, G., and Coauthors, 2020: The Community Earth System Model Version 2 (CESM2). J. Adv. Model. Earth Syst., 12, e2019MS001916, https://doi.org/10.1029/2019MS001916.

    • Search Google Scholar
    • Export Citation
  • Dansgaard, W., 1953: The abundance of O18 in atmospheric water and water vapour. Tellus, 5 (4), 461469, https://doi.org/10.3402/tellusa.v5i4.8697.

    • Search Google Scholar
    • Export Citation
  • Dansgaard, W., 1954: The O18-abundance in fresh water. Geochim. Cosmochim. Acta, 6, 241260, https://doi.org/10.1016/0016-7037(54)90003-4.

    • Search Google Scholar
    • Export Citation
  • Dansgaard, W., 1964: Stable isotopes in precipitation. Tellus, 16, 436468, https://doi.org/10.1111/j.2153-3490.1964.tb00181.x.

  • Dansgaard, W., S. J. Johnsen, H. B. Clausen, and N. Gundestrup, 1973: Stable isotope glaciology. Medd. Gronland, 197, 53.

  • Dee, S., A. Bailey, J. L. Conroy, A. Atwood, S. Stevenson, J. Nusbaumer, and D. Noone, 2023: Water isotopes, climate variability, and the hydrological cycle: Recent advances and new frontiers. Environ. Res.: Climate, 2, 022002, https://doi.org/10.1088/2752-5295/accbe1.

    • Search Google Scholar
    • Export Citation
  • Field, R. D., 2010: Observed and modeled controls on precipitation δ18O over Europe: From local temperature to the Northern Annular Mode. J. Geophys. Res., 115, D12101, https://doi.org/10.1029/2009JD013370.

    • Search Google Scholar
    • Export Citation
  • Field, R. D., D. B. A. Jones, and D. P. Brown, 2010: Effects of postcondensation exchange on the isotopic composition of water in the atmosphere. J. Geophys. Res., 115, D24305, https://doi.org/10.1029/2010JD014334.

    • Search Google Scholar
    • Export Citation
  • Fiorella, R. P., C. J. Poulsen, R. S. Pillco Zolà, J. B. Barnes, C. R. Tabor, and T. A. Ehlers, 2015: Spatiotemporal variability of modern precipitation δ18O in the central Andes and implications for paleoclimate and paleoaltimetry estimates. J. Geophys. Res. Atmos., 120, 46304656, https://doi.org/10.1002/2014JD022893.

    • Search Google Scholar
    • Export Citation
  • Fiorella, R. P., N. Siler, J. Nusbaumer, and D. C. Noone, 2021: Enhancing understanding of the hydrological cycle via pairing of process-oriented and isotope ratio tracers. J. Adv. Model. Earth Syst., 13, e2021MS002648, https://doi.org/10.1029/2021MS002648.

    • Search Google Scholar
    • Export Citation
  • Fisher, D. A., 1990: A zonally-averaged stable-isotope model coupled to a regional variable-elevation stable-isotope model. Ann. Glaciol., 14, 6571, https://doi.org/10.3189/S0260305500008284.

    • Search Google Scholar
    • Export Citation
  • Frierson, D. M. W., I. M. Held, and P. Zurita-Gotor, 2006: A gray-radiation aquaplanet moist GCM. Part I: Static stability and eddy scale. J. Atmos. Sci., 63, 25482566, https://doi.org/10.1175/JAS3753.1.

    • Search Google Scholar
    • Export Citation
  • Galewsky, J., H. C. Steen-Larsen, R. D. Field, J. Worden, C. Risi, and M. Schneider, 2016: Stable isotopes in atmospheric water vapor and applications to the hydrologic cycle. Rev. Geophys., 54, 809865, https://doi.org/10.1002/2015RG000512.

    • Search Google Scholar
    • Export Citation
  • Gat, J. R., 1996: Oxygen and hydrogen isotopes in the hydrologic cycle. Annu. Rev. Earth Planet. Sci., 24, 225262, https://doi.org/10.1146/annurev.earth.24.1.225.

    • Search Google Scholar
    • Export Citation
  • Hendricks, M. B., D. J. DePaolo, and R. C. Cohen, 2000: Space and time variation of δ18O and δD in precipitation: Can paleotemperature be estimated from ice cores? Global Biogeochem. Cycles, 14, 851861, https://doi.org/10.1029/1999GB001198.

    • Search Google Scholar
    • Export Citation
  • Hurrell, J. W., J. J. Hack, D. Shea, J. M. Caron, and J. Rosinski, 2008: A new sea surface temperature and sea ice boundary dataset for the Community Atmosphere Model. J. Climate, 21, 51455153, https://doi.org/10.1175/2008JCLI2292.1.

    • Search Google Scholar
    • Export Citation
  • Johnsen, S. J., W. Dansgaard, and J. W. C. White, 1989: The origin of Arctic precipitation under present and glacial conditions. Tellus, 41B, 452468, https://doi.org/10.1111/j.1600-0889.1989.tb00321.x.

    • Search Google Scholar
    • Export Citation
  • Jouzel, J., and L. Merlivat, 1984: Deuterium and oxygen 18 in precipitation: Modeling of the isotopic effects during snow formation. J. Geophys. Res., 89, 11 74911 757, https://doi.org/10.1029/JD089iD07p11749.

    • Search Google Scholar
    • Export Citation
  • Jouzel, J., L. Merlivat, and C. Lorius, 1982: Deuterium excess in an East Antarctic ice core suggests higher relative humidity at the oceanic surface during the last glacial maximum. Nature, 299, 688691, https://doi.org/10.1038/299688a0.

    • Search Google Scholar
    • Export Citation
  • Jouzel, J., and Coauthors, 1997: Validity of the temperature reconstruction from water isotopes in ice cores. J. Geophys. Res., 102, 26 47126 487, https://doi.org/10.1029/97JC01283.

    • Search Google Scholar
    • Export Citation
  • Jouzel, J., G. Hoffman, R. D. Koster, and V. Masson, 2000: Water isotopes in precipitation:: Data/model comparison for present-day and past climates. Quat. Sci. Rev., 19, 363379, https://doi.org/10.1016/S0277-3791(99)00069-4.

    • Search Google Scholar
    • Export Citation
  • Kavanaugh, J. L., and K. M. Cuffey, 2003: Space and time variation of δ18O and δD in Antarctic precipitation revisited. Global Biogeochem. Cycles, 17, 1017, https://doi.org/10.1029/2002GB001910.

    • Search Google Scholar
    • Export Citation
  • Konecky, B. L., D. C. Noone, and K. M. Cobb, 2019: The influence of competing hydroclimate processes on stable isotope ratios in tropical rainfall. Geophys. Res. Lett., 46, 16221633, https://doi.org/10.1029/2018GL080188.

    • Search Google Scholar
    • Export Citation
  • Kurita, N., 2013: Water isotopic variability in response to mesoscale convective system over the tropical ocean. J. Geophys. Res. Atmos., 118, 10 37610 390, https://doi.org/10.1002/jgrd.50754.

    • Search Google Scholar
    • Export Citation
  • Kurita, N., K. Ichiyanagi, J. Matsumoto, M. D. Yamanaka, and T. Ohata, 2009: The relationship between the isotopic content of precipitation and the precipitation amount in tropical regions. J. Geochem. Explor., 102, 113122, https://doi.org/10.1016/j.gexplo.2009.03.002.

    • Search Google Scholar
    • Export Citation
  • Lee, J.-E., 2019: Understanding neogene oxygen isotopes in the Southern Great Plains using isotope-enabled General Circulation Model simulations. J. Geophys. Res. Atmos., 124, 24522464, https://doi.org/10.1029/2018JD028894.

    • Search Google Scholar
    • Export Citation
  • Lee, J.-E., and I. Fung, 2008: “Amount effect” of water isotopes and quantitative analysis of post-condensation processes. Hydrol. Processes, 22 (1), 18, https://doi.org/10.1002/hyp.6637.

    • Search Google Scholar
    • Export Citation
  • Lee, J.-E., I. Fung, D. J. DePaolo, and C. C. Henning, 2007: Analysis of the global distribution of water isotopes using the NCAR atmospheric general circulation model. J. Geophys. Res., 112, D16306, https://doi.org/10.1029/2006JD007657.

    • Search Google Scholar
    • Export Citation
  • Liu, Z., C. He, M. Yan, C. Buizert, B. L. Otto-Bliesner, F. Lu, and C. Zeng, 2023: Reconstruction of past Antarctic temperature using present seasonal δ18O–inversion layer temperature: Unified slope equations and applications. J. Climate, 36, 29332957, https://doi.org/10.1175/JCLI-D-22-0012.1.

    • Search Google Scholar
    • Export Citation
  • Lorius, C., and L. Merlivat, 1977: Distribution of mean surface stable isotopes values in east Antarctica; observed changes with depth in coastal area. IAHS Publ., 118, 127137.

    • Search Google Scholar
    • Export Citation
  • Merlivat, L., and J. Jouzel, 1979: Global climatic interpretation of the deuterium-oxygen 18 relationship for precipitation. J. Geophys. Res., 84, 50295033, https://doi.org/10.1029/JC084iC08p05029.

    • Search Google Scholar
    • Export Citation
  • Moore, M., Z. Kuang, and P. N. Blossey, 2014: A moisture budget perspective of the amount effect. Geophys. Res. Lett., 41, 13291335, https://doi.org/10.1002/2013GL058302.

    • Search Google Scholar
    • Export Citation
  • Noone, D., and I. Simmonds, 2004: Sea ice control of water isotope transport to Antarctica and implications for ice core interpretation. J. Geophys. Res., 109, D07105, https://doi.org/10.1029/2003JD004228.

    • Search Google Scholar
    • Export Citation
  • Permana, D. S., L. G. Thompson, and G. Setyadi, 2016: Tropical West Pacific moisture dynamics and climate controls on rainfall isotopic ratios in southern Papua, Indonesia. J. Geophys. Res. Atmos., 121, 22222245, https://doi.org/10.1002/2015JD023893.

    • Search Google Scholar
    • Export Citation
  • Rhines, A., and P. J. Huybers, 2014: Sea ice and dynamical controls on preindustrial and last glacial maximum accumulation in central Greenland. J. Climate, 27, 89028917, https://doi.org/10.1175/JCLI-D-14-00075.1.

    • Search Google Scholar
    • Export Citation
  • Rhines, P. B., 1975: Waves and turbulence on a beta-plane. J. Fluid Mech., 69, 417443, https://doi.org/10.1017/S0022112075001504.

  • Risi, C., S. Bony, and F. Vimeux, 2008: Influence of convective processes on the isotopic composition (δ18O and δD) of precipitation and water vapor in the tropics: 2. Physical interpretation of the amount effect. J. Geophys. Res., 113, D19306, https://doi.org/10.1029/2008JD009943.

    • Search Google Scholar
    • Export Citation
  • Rozanski, K., L. Araguas-Araguas, and R. Gonfiantini, 1993: Isotopic patterns in modern global precipitation. Climate Change in Continental Isotopic Records, Geophys. Monogr., Vol. 78, Amer. Geophys. Union, 1–36, https://doi.org/10.1029/GM078p0001.

  • Scholl, M. A., J. B. Shanley, J. P. Zegarra, and T. B. Coplen, 2009: The stable isotope amount effect: New insights from NEXRAD echo tops, Luquillo Mountains, Puerto Rico. Water Resour. Res., 45, W12407, https://doi.org/10.1029/2008WR007515.

    • Search Google Scholar
    • Export Citation
  • Siler, N., G. H. Roe, and K. C. Armour, 2018: Insights into the zonal-mean response of the hydrologic cycle to global warming from a diffusive energy balance model. J. Climate, 31, 74817493, https://doi.org/10.1175/JCLI-D-18-0081.1.

    • Search Google Scholar
    • Export Citation
  • Siler, N., A. Bailey, G. H. Roe, C. Buizert, B. Markle, and D. Noone, 2021: The large-scale, long-term coupling of temperature, hydrology, and water isotopes. J. Climate, 34, 67256742, https://doi.org/10.1175/JCLI-D-20-0563.1.

    • Search Google Scholar
    • Export Citation
  • Singh, H. K. A., C. M. Bitz, A. Donohoe, and P. J. Rasch, 2017: A source–receptor perspective on the polar hydrologic cycle: Sources, seasonality, and Arctic–Antarctic parity in the hydrologic cycle response to CO2 doubling. J. Climate, 30, 999910 017, https://doi.org/10.1175/JCLI-D-16-0917.1.

    • Search Google Scholar
    • Export Citation
  • Sodemann, H., V. Masson-Delmotte, C. Schwierz, B. M. Vinther, and H. Wernli, 2008: Interannual variability of Greenland winter precipitation sources: 2. Effects of North Atlantic Oscillation variability on stable isotopes in precipitation. J. Geophys. Res., 113, D12111, https://doi.org/10.1029/2007JD009416.

    • Search Google Scholar
    • Export Citation
  • Vystavna, Y., I. Matiatos, and L. I. Wassenaar, 2021: Temperature and precipitation effects on the isotopic composition of global precipitation reveal long-term climate dynamics. Sci. Rep., 11, 18503, https://doi.org/10.1038/s41598-021-98094-6.

    • Search Google Scholar
    • Export Citation
All Time Past Year Past 30 Days
Abstract Views 10 10 10
Full Text Views 546 546 546
PDF Downloads 372 372 372