Local meteoric water lines describe extratropical precipitation
Devin F. Smith
School of Earth Sciences, The Ohio State University, Columbus, Ohio
Search for more papers by this authorElsa Saelens
School of Earth Sciences, The Ohio State University, Columbus, Ohio
Burgess & Niple, Columbus, Ohio
Search for more papers by this authorDeborah L. Leslie
School of Earth Sciences, The Ohio State University, Columbus, Ohio
Department of Earth Sciences, University of Memphis, Memphis, Tennessee
Search for more papers by this authorCorresponding Author
Anne E. Carey
School of Earth Sciences, The Ohio State University, Columbus, Ohio
Correspondence
Anne E. Carey, School of Earth Sciences, The Ohio State University, Columbus, OH 43210.
Email: [email protected]
Search for more papers by this authorDevin F. Smith
School of Earth Sciences, The Ohio State University, Columbus, Ohio
Search for more papers by this authorElsa Saelens
School of Earth Sciences, The Ohio State University, Columbus, Ohio
Burgess & Niple, Columbus, Ohio
Search for more papers by this authorDeborah L. Leslie
School of Earth Sciences, The Ohio State University, Columbus, Ohio
Department of Earth Sciences, University of Memphis, Memphis, Tennessee
Search for more papers by this authorCorresponding Author
Anne E. Carey
School of Earth Sciences, The Ohio State University, Columbus, Ohio
Correspondence
Anne E. Carey, School of Earth Sciences, The Ohio State University, Columbus, OH 43210.
Email: [email protected]
Search for more papers by this authorAbstract
Stable water isotopes δ18O and δ2H are used to investigate precipitation trends and storm dynamics to advance knowledge of precipitation patterns in a warming world. Herein, δ18O and δ2H were used to determine the relationship between extratropical cyclonic precipitation and local meteoric water lines (LMWLs) in the eastern Ohio Valley and the eastern United States. Precipitation volume weighted and unweighted central Ohio LMWLs, created with samples collected during 2012–2018, showed that temperature had the greatest effect on precipitation isotopic composition. HYSPLIT back trajectory modelling showed that precipitation was primarily derived from a mid-continental moisture source. Remnants of major hurricanes were collected as extratropical precipitation during the 2012–2018 sampling period in central Ohio. Extratropical precipitation samples were not significantly different from the samples that created the central Ohio LMWL. Six additional LMWLs were derived from United States Geological Survey (USGS) Atmospheric Integrated Research Monitoring Network (AIRMoN) samples collected in Pennsylvania, Delaware, Tennessee, Vermont, New Hampshire, and Oxford, Ohio. Meteoric water lines describing published samples from Superstorm Sandy, plotted with these AIRMoN LMWLs, showed isotopic composition of Superstorm Sandy precipitation was commonly more depleted than the average isotopic composition at the mid-latitude locations. Meteoric water lines describing the Superstorm Sandy precipitation were not significantly different in slope from LMWLs generated within 300 km of the USGS AIRMoN site. This finding, which was observed across the eastern Ohio Valley and eastern United States, demonstrated a consistent precipitation δ2H–δ18O relationship for extratropical cyclonic and non-cyclonic events. This work also facilitates the analysis of storm development based on the relationship between extratropical event signature and the LMWL. Analysis of extratropical precipitation in relation to LMWLs along storm tracks allows for stronger development of precipitation models and understanding of which climatic and atmospheric factors determine the isotopic composition of precipitation.
Open Research
DATA AVAILABILITY STATEMENT
The data collected in this study will be made available through the Consortium of Universities for the Advancement of Hydrologic Science, Inc. HydroShare (https://www.hydroshare.org/). The data that supported the creation of USGS AIRMoN local meteoric water lines are available in U.S. Geological Survey Open-File Report 00-279 (Coplen & Huang, 2000). Data from Superstorm Sandy is publicly available in supplementary materials published by Good et al. (2014).
Supporting Information
| Filename | Description |
|---|---|
| hyp14059-sup-0001-FigureS1.tifPDF document, 16.7 MB | Supplementary Figure 1 Samples collected in Columbus, Mansfield and Galena from 2012 to 2018 with meteoric water lines. Diamonds represent the unweighted average δ18O and δ2H composition of Columbus (−7.50‰, −48.81‰), Mansfield (−7.84‰, −52.82‰) and Galena (−5.21‰, −31.66‰). |
| hyp14059-sup-0002-TableS1.docxWord 2007 document , 163.2 KB | Supplementary Table 1 Data used to generate the unweighted and weighted LMWL for central Ohio. Samples collected from Mansfield (MSFLD), Galena (GAL) and Columbus (CLV). Samples are numbered in order by year. Dates always reference the day of sample collection. Sample remnants of hurricanes are indicated by the hurricane name in the Sample ID column. Time refers to amount of time period that collector was left outside. Times with a single value indicate the time of collection. R/S indicates whether the sample was rain or snow. Precip refers to the precipitation amount. Information was not recorded for blank cells. Samples included as part of the weighted LMWL and PCA are indicated. |
Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
REFERENCES
- Abdi, H., & Williams, L. J. (2010). Principal component analysis. Wiley Interdisciplinary Reviews: Computational Statistics, 2(4), 433–459. https://doi.org/10.1002/wics.101
10.1002/wics.101 Google Scholar
- Aggarwal, P. K., Romatschke, U., Araguas-Sraguas, L., Belachew, D., Longsta, F. J., Berg, P., Schumacher, C., & Funk, A. (2016). Proportions of convective and stratiform precipitation revealed in water isotope ratios. Nature Geoscience, 9, 624–629. https://doi.org/10.1038/NGEO2739
- Akers, P. D., Welker, J. M., & Brook, G. A. (2017). Reassessing the role of temperature in precipitation oxygen isotopes across the eastern and Central United States through weekly precipitation-day data. Water Resources Research, 53(9), 7644–7661. https://doi.org/10.1002/2017WR020569
- Araguás-Araguás, L., Froehlich, K., & Rozanski, K. (2000). Deuterium and oxygen-18 isotope composition of precipitation and atmospheric moisture. Hydrological Processes, 14(8), 1341–1355. https://doi.org/10.1002/1099-1085(20000615)14:8<1341::AID-HYP983>3.3.CO;2-Q
- Bedaso, Z., & Wu, S. Y. (2020). Daily precipitation isotope variation in Midwestern United States: Implication for hydroclimate and moisture source. Science of the Total Environment, 713, 136631. https://doi.org/10.1016/j.scitotenv.2020.136631
- Bowen, G. J., Cai, Z., Fiorella, R. P., & Putman, A. L. (2019). Isotopes in the water cycle: Regional- to global-scale patterns and applications. Annual Review of Earth and Planetary Sciences, 47, 453–479. https://doi.org/10.1146/annurev-earth-053018-060220
- Bowen, G. J., & Revenaugh, J. (2003). Interpolating the isotopic composition of modern meteoric precipitation. Water Resources Research, 39(10), 1–13. https://doi.org/10.1029/2003WR002086
- Coleman, J. S., & Rogers, J. C. (2003). Ohio River valley winter moisture conditions associated with the Pacific–North American teleconnection pattern. Journal of Climate, 16(6), 969–981. https://doi.org/10.1175/1520-0442(2003)016<0969:ORVWMC>2.0.CO;2
- Coplen, T. B., & Huang, R. (2000). Stable hydrogen and oxygen isotope ratios for selected sites of the National Oceanic and Atmospheric Administration's atmospheric integrated research monitoring network (AIRMoN). U.S. Geological Survey Open-File Report 00–279: Reston. 1–54. Retrieved from https://pubs.usgs.gov/of/2000/0279/report.pdf.
- Coplen, T. B., Neiman, P. J., White, A. B., Landwehr, J. M., Ralph, F. M., & Dettinger, M. D. (2008). Extreme changes in stable hydrogen isotopes and precipitation characteristics in a landfalling Pacific storm. Geophysical Research Letters, 35(21), 1–5. https://doi.org/10.1029/2008GL035481
- Coplen, T. B., Neiman, P. J., White, A. B., & Ralph, F. M. (2015). Categorization of northern California rainfall for periods with and without a radar brightband using stable isotopes and a novel automated precipitation collector. Tellus B: Chemical and Physical Meteorology, 67(1), 28574. https://doi.org/10.3402/tellusb.v67.28574
- Coumou, D., & Rahmstorf, S. (2012). A decade of weather extremes. Nature Climate Change, 2(7), 491–496. https://doi.org/10.1038/nclimate1452
- Craig, H. (1961). Isotopic variations in meteoric waters. Science, 133(3465), 1702–1703. https://doi.org/10.1126/science.133.3465.1702
- Crawford, J., Hughes, C. E., & Parkes, S. D. (2013). Is the isotopic composition of event based precipitation driven by moisture source or synoptic scale weather in the Sydney Basin, Australia? Journal of Hydrology, 507, 213–226. https://doi.org/10.1016/j.jhydrol.2013.10.031
- Dansgaard, W. (1964). Stable isotopes in precipitation. Tellus, 16(4), 436–468. https://doi.org/10.3402/tellusa.v16i4.8993
- Dijkstra, H. A., & Ghil, M. (2005). Low-frequency variability of the large-scale ocean circulation: A dynamical systems approach. Atlantica, 43(3), 1–38. https://doi.org/10.1029/2002RG000122
10.1029/2002RG000122 Google Scholar
- Emanuel, K. (2018). 100 Years of progress in tropical cyclone research. Meteorological Monographs, 59(1979), 15.1–15.68. https://doi.org/10.1175/amsmonographs-d-18-0016.1
10.1175/AMSMONOGRAPHS-D-18-0016.1 Google Scholar
- Feng, X., Faiia, A. M., & Posmentier, E. S. (2009). Seasonality of isotopes in precipitation: A global perspective. Journal of Geophysical Research Atmospheres, 114(8), 1–13. https://doi.org/10.1029/2008JD011279
10.1029/2008JD011279 Google Scholar
- Frappier, A. B., Sahagian, D., Carpenter, S. J., González, L. A., & Frappier, B. R. (2007). Stalagmite stable isotope record of recent tropic cyclone events. Geology, 35(2), 111–114. https://doi.org/10.1130/G23145A.1
- Friedman, I., Redfield, A. C., Schoen, B., & Harris, J. (1964). The variation of the deuterium content of natural waters in the hydrologic cycle. Reviews of Geophysics, 2(1), 177–224. https://doi.org/10.1029/RG002i001p00177
- Gat, J. R. (1996). Oxygen and hydrogen isotopes in the hydrologic cycle. Annual Review of Earth and Planetary Sciences, 24(1), 225–262. https://doi.org/10.1146/annurev.earth.24.1.225
- Gedzelman, S. D., & Lawrence, J. R. (1982). The isotopic composition of cyclonic precipitation. Journal of Applied Meteorology, 21(10), 1385–1404. https://doi.org/10.1175/1520-0450(1982)021<1385:TICOCP>2.0.CO;2
- Gedzelman, S. D., & Lawrence, J. R. (1990). The isotopic composition of precipitation from two extratropical cyclones. American Meteorological Society, 118(2), 495–509. https://doi.org/10.1175/1520-0493(1990)118<0495:TICOPF>2.0.CO;2
10.1175/1520-0493(1990)118<0495:TICOPF>2.0.CO;2 Google Scholar
- Good, S. P., Mallia, D. V., Lin, J. C., & Bowen, G. J. (2014). Stable isotope analysis of precipitation samples obtained via crowdsourcing reveals the spatiotemporal evolution of superstorm sandy. PLoS One, 9(3), e91117. https://doi.org/10.1371/journal.pone.0091117
- Hart, R. E., & Evans, J. L. (2001). A climatology of the extratropical transition of Atlantic tropical cyclones. Journal of Climate, 14(4), 546–564. https://doi.org/10.1175/1520-0442(2001)014<0546:ACOTET>2.0.CO;2
- Hughes, C. E., & Crawford, J. (2012). A new precipitation weighted method for determining the meteoric water line for hydrological applications demonstrated using Australian and global GNIP data. Journal of Hydrology, 464–465, 344–351. https://doi.org/10.1016/j.jhydrol.2012.07.029
- Jentsch, A., Kreyling, J., & Beierkuhnlein, C. (2007). A new generation of climate-change experiments: Event, not trends. Frontiers in Ecology and the Environment, 5(7), 365–374. https://doi.org/10.1890/1540-9295(2007)5[365:ANGOCE]2.0.CO;2
- Jones, S. C., Harr, P. A., Abraham, J., Bosart, L. F., Bowyer, P. J., Evans, J. L., Hanley, D. E., Hanstrum, B. N., Hart, R. E., Lalaurette, F., Sinclair, M. R., Smith, R. K., & Thorncroft, C. (2003). The extratropical transition of tropical cyclones: Forecast challenges, current understanding, and future directions. Weather and Forecasting, 18(6), 1052–1092. https://doi.org/10.1175/1520-0434(2003)018<1052:tetotc>2.0.co;2
- Jouzel, J., Delaygue, G., Landais, A., Masson-Delmotte, V., Risi, C., & Vimeux, F. (2013). Water isotopes as tools to document oceanic sources of precipitation. Water Resources Research, 49(11), 7469–7486. https://doi.org/10.1002/2013WR013508.
- Kendall, C., & Coplen, T. B. (2001). Distribution of oxygen-18 and deuterium in river waters across the United States. Hydrological Processes, 15(7), 1363–1393. https://doi.org/10.1002/hyp.217
- Lawrence, J. R., Gedzelman, D., Zhang, X., & Arnold, R. (1998). Stable isotope ratios of rain and vapor in 1995 hurricanes. Journal of Geophysical Research, 103, 11381–11400. https://doi.org/10.1029/97JD03627
- Lawrence, J. R., & Gedzelman, S. D. (1996). Low stable isotope ratios of tropical cyclone rains. Geophysical Research Letters, 23(5), 527–530. https://doi.org/10.1029/96GL00425
- Lawrence, J. R., Gedzelman, S. D., White, J. W. C., Smiley, D., & Lazov, P. (1982). Storm trajectories in eastern US D/H isotopic composition of precipitation. Nature, 296, 638–640. https://doi.org/10.1038/296638a0
- Leslie, D., Welch, K., & Lyons, B. (2014). Domestic water supply dynamics using stable isotopes δ18O, δD, and d-excess. Journal of Water Resources and Protection, 6(16), 1517–1532. https://doi.org/10.4236/jwarp.2014.616139
10.4236/jwarp.2014.616139 Google Scholar
- Levitus, S., Antonov, J., & Boyer, T. (2005). Warming of the world ocean, 1955-2003. Geophysical Research Letters, 32(5461), 2225–2229. https://doi.org/10.1029/2004GL021592
10.1029/2004GL021592 Google Scholar
- Liu, Z., Bowen, G. J., & Welker, J. M. (2010). Atmospheric circulation is reflected in precipitation isotope gradients over the conterminous United States. Geophysical Research, 115(D22), 1–14. https://doi.org/10.1029/2010JD014175
- McDonald, J. H. (2014). Handbook of biological statistics (pp. 220–228). Baltimore, CA: Sparky House Publishing.
- Merlivat, L., & Jouzel, J. (1979). Global climatic interpretation of the deuterium-oxygen 18 relationship for precipitation. Journal of Geophysical Research: Oceans, 84(C8), 5029–5033. https://doi.org/10.1029/JC084iC08p05029
- Mora, C. I., Miller, D. L., & Grissino-Mayer, H. D. (2007). Oxygen isotope proxies in tree-ring cellulose: Tropical cyclones, drought, and climate oscillations. Terrestrial Ecology, 1, 63–75. https://doi.org/10.1016/S1936-7961(07)01005-6
10.1016/S1936-7961(07)01005-6 Google Scholar
- Price, R. M., Swart, P. K., & Willoughby, H. E. (2008). Seasonal and spatial variation in the stable isotopic composition (δ18O and δD) of precipitation in South Florida. Journal of Hydrology, 358(3–4), 193–205. https://doi.org/10.1016/j.jhydrol.2008.06.003
- Rozanski K, Araguás-Araguás L, Gonfiantini R. 1993. Isotopic patterns in modern global precipitation. Climate change in continental isotopic records. Geophysical monograph series, (vol. 78, pp. 1–36). American Geophysical Union. https://doi.org/10.1029/GM078p0001
10.1029/GM078p0001 Google Scholar
- Sjostrom, D. J., & Welker, J. M. (2009). The influence of air mass source on the seasonal isotopic composition of precipitation, eastern USA. Journal of Geochemical Exploration, 102(3), 103–112. https://doi.org/10.1016/j.gexplo.2009.03.001
- Stewart, M. K. (1975). Stable isotope fractionation due to evaporation and isotopic exchange of falling waterdrops: Applications to atmospheric processes and evaporation of lakes. Journal of Geophysical Research, 80(9), 1133–1146.
- Stumpp, C., Klaus, J., & Stichler, W. (2014). Analysis of long-term stable isotopic composition in German precipitation. Journal of Hydrology, 517, 351–361. https://doi.org/10.1016/j.jhydrol.2014.05.034
- Tappa, D. J., Kohn, M. J., Mcnamara, J. P., Benner, S. G., & Flores, A. N. (2016). Isotopic composition of precipitation in a topographically steep, seasonally snow-dominated watershed and implications of variations from the global meteoric water line. Hydrological Processes, 30, 4582–4592. https://doi.org/10.1002/hyp.10940.
- Tian, C., Wang, L., Kaseke, K. F., & Bird, B. W. (2018). Stable isotope compositions (δ2H, δ18O and δ17O) of rainfall and snowfall in the Central United States. Scientific Reports, 8(6712), 1–15. https://doi.org/10.1038/s41598-018-25102-7
- Treble, P. C., Budd, W. F., Hope, P. K., & Rustomji, P. K. (2005). Synoptic-scale climate patterns associated with rainfall δ18 O in southern Australia. Journal of Hydrology, 302(1–4), 270–282. https://doi.org/10.1016/j.jhydrol.2004.07.003
- Trenberth, K. E. (1998). Atmospheric moisture residence times and cycling: Implications for rainfall rates and climate change. Climatic Change, 39(4), 667–694. https://doi.org/10.1023/A:1005319109110
- USGCRP (2018). Impacts, risks, and adaptation in the United States: Fourth national climate assessment. In D. R. Reidmiller, C. W. Avery, D. R. Easterling, K. E. Kunkel, K. L. M. Lewis, T. K. Maycock, & B. C. Stewart (Eds.), U.S. global change research program (Vol. VII, p. 1515). Washington, DC: U.S. Government Publishing Office.
- Vachon, R. W., Welker, J. M., White, J. W. C., & Vaughn, B. H. (2010). Monthly precipitation isoscapes (δ18O) of the United States: Connections with surface temperatures, moisture source conditions, and air mass trajectories. Journal of Geophysical Research, 115(D21126), 1–17. https://doi.org/10.1029/2010JD014105
10.1029/2010JD014105 Google Scholar
- Wallace, J. M., & Hobbs, P. (2006). Atmospheric science: An introductory survey. Elsevier.
- Walsh, J. E., Richman, M. B., & Allen, D. W. (1982). Spatial coherence of monthly precipitation in the United States. Monthly Weather Review, 110(4), 272–286. https://doi.org/10.1175/1520-0493(1982)110<0272:SCOMPI>2.0.CO;2
- Welker, J. M. (2000). Isotopic (δ18O) characteristics of weekly precipitation collected across the USA: An initial analysis with application to water source studies. Hydrological Processes, 14(8), 1449–1464. https://doi.org/10.1002/1099-1085(20000615)14:8<1449::AID-HYP993>3.0.CO;2-7
