Articles | Volume 23, issue 6
https://doi.org/10.5194/acp-23-3409-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-23-3409-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
20 Mar 2023
Research article |
| 20 Mar 2023
| 20 Mar 2023
Vehicle-based in situ observations of the water vapor isotopic composition across China: spatial and seasonal distributions and controls
Di Wang
CORRESPONDING AUTHOR
Institute of International Rivers and Eco-security, Yunnan
University, Kunming 650500, Yunnan, China
Laboratoire de Météorologie Dynamique, IPSL, CNRS, Sorbonne
Université, Campus Pierre et Marie Curie, Paris 75005, France
Yunnan Key Laboratory of International Rivers and Transboundary
Eco-security, Kunming 650500, Yunnan, China
Institute of International Rivers and Eco-security, Yunnan
University, Kunming 650500, Yunnan, China
Yunnan Key Laboratory of International Rivers and Transboundary
Eco-security, Kunming 650500, Yunnan, China
Camille Risi
Laboratoire de Météorologie Dynamique, IPSL, CNRS, Sorbonne
Université, Campus Pierre et Marie Curie, Paris 75005, France
Xuejie Wang
Institute of International Rivers and Eco-security, Yunnan
University, Kunming 650500, Yunnan, China
Yunnan Key Laboratory of International Rivers and Transboundary
Eco-security, Kunming 650500, Yunnan, China
Jiangpeng Cui
Sino-French Institute for Earth System Science, College of Urban
and Environmental Sciences, Peking University, Beijing 100871, China
Gabriel J. Bowen
Department of Geology and Geophysics, and Global Change and
Sustainability Center, University of Utah, Salt Lake City, Utah 84108, USA
Kei Yoshimura
Institute of Industrial Science, The University of Tokyo,
Tokyo 113-8654, Japan
Zhongwang Wei
School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou
510275, Guangdong, China
Laurent Z. X. Li
Laboratoire de Météorologie Dynamique, IPSL, CNRS, Sorbonne
Université, Campus Pierre et Marie Curie, Paris 75005, France
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Cited articles
Acharya, S., Yang, X., Yao, T., and Shrestha, D.: Stable isotopes of
precipitation in Nepal Himalaya highlight the topographic influence on
moisture transport, Quatern. Int., 565, 22–30, https://doi.org/10.1016/j.quaint.2020.09.052, 2020.
Aemisegger, F., Pfahl, S., Sodemann, H., Lehner, I., Seneviratne, S. I., and Wernli, H.: Deuterium excess as a proxy for continental moisture recycling and plant transpiration, Atmos. Chem. Phys., 14, 4029–4054, https://doi.org/10.5194/acp-14-4029-2014, 2014.
Aemisegger, F., Spiegel, J., Pfahl, S., Sodemann, H., Eugster, W., and
Wernli, H.: Isotope meteorology of cold front passages: A case study
combining observations and modeling, Geophys. Res. Lett., 42,
5652–5660, https://doi.org/10.1002/2015gl063988, 2015.
Aemisegger, F. and Papritz, L.: A climatology of strong large-scale ocean
evaporation events. Part I: Identification, global distribution, and
associated climate conditions, J. Climate, 31, 7287–7312, https://doi.org/10.1175/jcli-d-17-0591.1, 2018.
Aggarwal, P. K., Fröhlich, K., Kulkarni, K. M., and Gourcy, L. L.:
Stable isotope evidence for moisture sources in the asian summer monsoon
under present and past climate regimes, Geophys. Res. Lett., 31,
239–261, https://doi.org/10.1029/2004gl019911, 2004.
Araguás-Araguás, L., Froehlich, K., and Rozanski, K.: Stable isotope
composition of precipitation over southeast Asia, J. Geophys.
Res.-Atmos., 103, 28721–28742, https://doi.org/10.1029/98jd02582, 1998.
Bailey, A., Toohey, D., and Noone, D.: Characterizing moisture exchange
between the Hawaiian convective boundary layer and free troposphere using
stable isotopes in water, J. Geophys. Res.-Atmos., 118,
8208–8221, https://doi.org/10.1002/jgrd.50639, 2013.
Benetti, M., Steen-Larsen, H. C., Reverdin, G., Sveinbjörnsdóttir,
Á. E., Aloisi, G., Berkelhammer, M. B., Bourlès, B., Bourras, D., De
Coetlogon, G., and Cosgrove, A.: Stable isotopes in the atmospheric marine
boundary layer water vapour over the Atlantic Ocean, 2012–2015, Scientific
Data, 4, 160128, https://doi.org/10.1038/sdata.2016.128, 2017.
Bershaw, J., Penny, S. M., and Garzione, C. N.: Stable isotopes of modern water across the Himalaya and eastern Tibetan Plateau: Implications for estimates of paleoelevation and paleoclimate, J. Geophys. Res.-Atmos., 117, D02110, https://doi.org/10.1029/2011jd016132, 2012.
Bhattacharya, S. K., Sarkar, A., and Liang, M. C.: Vapor isotope probing of
typhoons invading the Taiwan region in 2016, J. Geophys. Res.-Atmos., 127, e2022JD036578, https://doi.org/10.1029/2022jd036578, 2022.
Bonne, J.-L., Behrens, M., Meyer, H., Kipfstuhl, S., Rabe, B.,
Schönicke, L., Steen-Larsen, H. C., and Werner, M.: Resolving the
controls of water vapour isotopes in the Atlantic sector, Nat.
Commun., 10, 1632, https://doi.org/10.1038/s41467-019-09242-6, 2019.
Bony, S., Risi, C., and Vimeux, F.: Influence of convective processes on the
isotopic composition (δ18O and δD) of precipitation and water vapor
in the tropics: 1. Radiative-convective equilibrium and Tropical
Ocean–Global Atmosphere–Coupled Ocean-Atmosphere Response Experiment
(TOGA-COARE) simulations, J. Geophys. Res.-Atmos., 113, D19305, https://doi.org/10.1029/2008jd009942,
2008.
Bowen, G. J. and Revenaugh, J.: Interpolating the isotopic composition of
modern meteoric precipitation, Water Resour. Res., 39, 1299, https://doi.org/10.1029/2003wr002086, 2003.
Bowen, G. J., Cai, Z., Fiorella, R. P., and Putman, A. L.: Isotopes in the
Water Cycle: Regional-to Global-Scale Patterns and Applications, Annu.
Rev. Earth Pl. Sc., 47, 457–479, https://doi.org/10.1146/annurev-earth-053018-060220, 2019.
Brown, J., Simmonds, I., and Noone, D.: Modeling δ18O in tropical
precipitation and the surface ocean for present-day climate, J.
Geophys. Res.-Atmos., 111, D05105, https://doi.org/10.1029/2004jd005611, 2006.
Brubaker, K. L., Entekhabi, D., and Eagleson, P.: Estimation of continental
precipitation recycling, J. Climate, 6, 1077–1089, https://doi.org/10.1175/1520-0442(1993)006<1077:eocpr>2.0.co;2, 1993.
Cai, Z. and Tian, L.: Processes governing water vapor isotope composition
in the Indo-Pacific region: Convection and water vapor transport, J. Climate, 29, 8535–8546, https://doi.org/10.1175/JCLI-D-16-0297.1, 2016.
Cai, Z., Tian, L., and Bowen, G. J.: Spatial-seasonal patterns reveal
large-scale atmospheric controls on Asian Monsoon precipitation water
isotope ratios, Earth Planet. Sc. Lett., 503, 158–169, https://doi.org/10.1016/j.epsl.2018.09.028, 2018.
Dansgaard, W.: Stable isotopes in precipitation, Tellus, 16, 436–468, https://doi.org/10.1111/j.2153-3490.1964.tb00181.x, 1964.
Domrös, M. and Peng, G.: The climate of China, 1st edn., Springer Science &
Business Media, 56–77, ISBN 9781315202068, https://doi.org/10.4324/9781315202068-4, 2012.
Draxler, R. R. and Hess, G.: An overview of the HYSPLIT_4 modelling system for trajectories, Aust. Meteorol. Mag., 47, 295–308, 1998.
Fiorella, R. P., Bares, R., Lin, J. C., Ehleringer, J. R., and Bowen, G. J.: Detection and variability of combustion-derived vapor in an urban basin, Atmos. Chem. Phys., 18, 8529–8547, https://doi.org/10.5194/acp-18-8529-2018, 2018.
Fiorella, R. P., Bares, R., Lin, J. C., and Bowen, G. J.: Wintertime
decoupling of urban valley and rural ridge hydrological processes revealed
through stable water isotopes, Atmos. Environ., 213, 337–348, https://doi.org/10.1016/j.atmosenv.2019.06.022, 2019.
Galewsky, J. and Hurley, J. V.: An advection-condensation model for
subtropical water vapor isotopic ratios, J. Geophys. Res.-Atmos., 115, D16116, https://doi.org/10.1029/2009jd013651, 2010.
Galewsky, J., Rella, C., Sharp, Z., Samuels, K., and Ward, D.: Surface
measurements of upper tropospheric water vapor isotopic composition on the
Chajnantor Plateau, Chile, Geophys. Res. Lett., 38, 198–205, https://doi.org/10.1029/2011gl048557, 2011.
Galewsky, J., Steen-Larsen, H. C., Field, R. D., Worden, J., Risi, C., and
Schneider, M.: Stable isotopes in atmospheric water vapor and applications
to the hydrologic cycle, Rev. Geophys., 54, 809–865, https://doi.org/10.1002/2015rg000512, 2016.
Gao, J., MassonDelmotte, V., Risi, C., He, Y., and Yao, T.: What controls
precipitation δ18O in the southern Tibetan Plateau at seasonal and
intra-seasonal scales? A case study at Lhasa and Nyalam, Tellus B, 65, 21043, https://doi.org/10.3402/tellusb.v65i0.21043, 2013.
Gat, J. R.: Oxygen and hydrogen isotopes in the hydrologic cycle, Annu.
Rev. Earth Planet. Sc., 24, 225–262, https://doi.org/10.1146/annurev.earth.24.1.225, 1996.
Gat, J. R. and Matsui, E.: Atmospheric water balance in the Amazon Basin:
an isotopic evapotranspiration model, J. Geophys. Res.-Atmos., 96, 13179–13188, https://doi.org/10.1029/91jd00054, 1991.
Gedzelman, S.: Probing hurricanes with stable isotopes of rain and water
vapor, Mon. Weather Rev., 131, 1112–1127, https://doi.org/10.1175/1520-0493(2003)131<1112:phwsio>2.0.co;2, 2003.
Gorski, G., Strong, C., Good, S. P., Bares, R., Ehleringer, J. R., and
Bowen, G. J.: Vapor hydrogen and oxygen isotopes reflect water of combustion
in the urban atmosphere, P. Natl. Acad. Sci. USA,
112, 3247–3252, https://doi.org/10.1073/pnas.1424728112, 2015.
Gralher, B., Herbstritt, B., Weiler, M., Wassenaar, L. I., and Stumpp, C.:
Correcting laser-based water stable isotope readings biased by carrier gas
changes, Environ. Sci. Technol., 50, 7074–7081, https://doi.org/10.1021/acs.est.6b01124, 2016.
Guo, X., Tian, L., Wen, R., Yu, W., and Qu, D.: Controls of precipitation
δ18O on the northwestern Tibetan Plateau: A case study at Ngari
station, Atmos. Res., 189, 141–151, https://doi.org/10.1016/j.atmosres.2017.02.004, 2017.
He, Y., Risi, C., Gao, J., Masson-Delmotte, V., Yao, T., Lai, C. T., Ding,
Y., Worden, J., Frankenberg, C., and Chepfer, H.: Impact of atmospheric
convection on south Tibet summer precipitation isotopologue composition
using a combination of in situ measurements, satellite data, and atmospheric
general circulation modeling, J. Geophys. Res.-Atmos.,
120, 3852–3871, https://doi.org/10.1002/2014jd022180, 2015.
Hou, J., Huang, Y., Oswald, W. W., Foster, D. R., and Shuman, B.:
Centennial-scale compound-specific hydrogen isotope record of
Pleistocene–Holocene climate transition from southern New England,
Geophys. Res. Lett., 34, L19706, https://doi.org/10.1029/2007gl030303, 2007.
Johnson, J. E. and Rella, C. W.: Effects of variation in background mixing ratios of N2, O2, and Ar on the measurement of δ18O–H2O and δ2H–H2O values by cavity ring-down spectroscopy, Atmos. Meas. Tech., 10, 3073–3091, https://doi.org/10.5194/amt-10-3073-2017, 2017.
Jouzel, J., Alley, R., Cuffey, K., Dansgaard, W., Grootes, P., Hoffmann, G.,
Johnsen, S., Koster, R., Peel, D., and Shuman, C.: Validity of the
temperature reconstruction from water isotopes in ice cores, J.
Geophys. Res.-Oceans, 102, 26471–26487, https://doi.org/10.1029/97jc01283, 1997.
Khaykin, S. M., Moyer, E., Krämer, M., Clouser, B., Bucci, S., Legras, B., Lykov, A., Afchine, A., Cairo, F., Formanyuk, I., Mitev, V., Matthey, R., Rolf, C., Singer, C. E., Spelten, N., Volkov, V., Yushkov, V., and Stroh, F.: Persistence of moist plumes from overshooting convection in the Asian monsoon anticyclone, Atmos. Chem. Phys., 22, 3169–3189, https://doi.org/10.5194/acp-22-3169-2022, 2022.
Kikuchi, K.: The boreal summer intraseasonal oscillation (BSISO): A review,
J. Meteorol. Soc. Jpn. Ser. II, 99, 933–972, https://doi.org/10.2151/jmsj.2021-045, 2021.
Klein, E. S., Cherry, J., Young, J., Noone, D., Leffler, A., and Welker, J.:
Arctic cyclone water vapor isotopes support past sea ice retreat recorded in
Greenland ice, Scientific Reports, 5, 10295, https://doi.org/10.1038/srep10295, 2015.
Kong, Y. and Pang, Z.: A positive altitude gradient of isotopes in the
precipitation over the Tianshan Mountains: Effects of moisture recycling and
sub-cloud evaporation, J. Hydrol., 542, 222–230, https://doi.org/10.1016/j.jhydrol.2016.09.007, 2016.
Kurita, N.: Origin of Arctic water vapor during the ice-growth season,
Geophys. Res. Lett., 38, L02709, https://doi.org/10.1029/2010gl046064, 2011.
Li, Y., An, W., Pang, H., Wu, S. Y., Tang, Y., Zhang, W., and Hou, S.:
Variations of Stable Isotopic Composition in Atmospheric Water Vapor and
their Controlling Factors – A 6-Year Continuous Sampling Study in Nanjing,
Eastern China, J. Geophys. Res.-Atmos., 125, e2019JD031697, https://doi.org/10.1029/2019jd031697, 2020.
Li, Y., Aemisegger, F., Riedl, A., Buchmann, N., and Eugster, W.: The role of dew and radiation fog inputs in the local water cycling of a temperate grassland during dry spells in central Europe, Hydrol. Earth Syst. Sci., 25, 2617–2648, https://doi.org/10.5194/hess-25-2617-2021, 2021.
Liebmann, B. and Smith, C. A.: Description of a complete (interpolated)
outgoing longwave radiation dataset, B. Am. Meteorol.
Soc., 77, 1275–1277, 1996.
Liu, J., Xiao, C., Ding, M., and Ren, J.:
Variations in stable hydrogen and oxygen isotopes in atmospheric water vapor in the marine boundary layer across a wide latitude range,
J. Environ. Sci., 26, 2266–2276, https://doi.org/10.1016/j.jes.2014.09.007, 2014.
Liu, Y., Cobb, K. M., Song, H., Li, Q., Li, C.-Y., Nakatsuka, T., An, Z.,
Zhou, W., Cai, Q., and Li, J.: Recent enhancement of central Pacific El
Niño variability relative to last eight centuries, Nat.
Commun., 8, 15386, https://doi.org/10.1038/ncomms15386, 2017.
McKinney, C. R., McCrea, J. M., Epstein, S., Allen, H., and Urey, H. C.:
Improvements in mass spectrometers for the measurement of small differences
in isotope abundance ratios, Rev. Sci. Instrum., 21, 724–730, https://doi.org/10.1063/1.1745698,
1950.
Mei'e, R., Renzhang, Y., and Haosheng, B.: An outline of China's physical
geography, The World in Outline, 497–520, https://doi.org/10.1017/cbo9781316530399.026, 1985.
Merlivat, L. and Jouzel, J.: Global climatic interpretation of the
deuterium-oxygen 18 relationship for precipitation, J. Geophys.
Res.-Oceans, 84, 5029–5033, https://doi.org/10.1029/jc084ic08p05029, 1979.
Noone, D.: The influence of midlatitude and tropical overturning circulation
on the isotopic composition of atmospheric water vapor and Antarctic
precipitation, J. Geophys. Res.-Atmos., 113, D04102, https://doi.org/10.1029/2007jd008892, 2008.
Noone, D.: Pairing Measurements of the Water Vapor Isotope Ratio with
Humidity to Deduce Atmospheric Moistening and Dehydration in the Tropical
Midtroposphere, J. Climate, 25, 4476–4494, https://doi.org/10.1175/jcli-d-11-00582.1, 2012.
Pausata, F. S. R., Battisti, D. S., Nisancioglu, K. H., and Bitz, C. M.:
Chinese stalagmite δ18O controlled by changes in the Indian monsoon
during a simulated Heinrich event, Nat. Geosci., 4, 474–480,
https://doi.org/10.1038/ngeo1169, 2011.
Pfahl, S. and Sodemann, H.: What controls deuterium excess in global precipitation?, Clim. Past, 10, 771–781, https://doi.org/10.5194/cp-10-771-2014, 2014.
Putman, A. L., Fiorella, R. P., Bowen, G. J., and Cai, Z.: A global
perspective on local meteoric water lines: Meta-analytic insight into
fundamental controls and practical constraints, Water Resour. Res.,
55, 6896–6910, https://doi.org/10.1029/2019wr025181, 2019.
Risi, C., Bony, S., and Vimeux, F.: 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.-Atmos., 113, D19306, https://doi.org/10.1029/2008jd009943, 2008a.
Risi, C., Bony, S., Vimeux, F., Descroix, L., Ibrahim, B., Lebreton, E.,
Mamadou, I., and Sultan, B.: What controls the isotopic composition of the
African monsoon precipitation? Insights from event-based precipitation
collected during the 2006 AMMA field campaign, Geophys. Res. Lett.,
35, 851–854, https://doi.org/10.1029/2008gl035920, 2008b.
Risi, C., Bony, S., Vimeux, F., and Jouzel, J.: Water-stable isotopes in the
LMDZ4 general circulation model: Model evaluation for present-day and past
climates and applications to climatic interpretations of tropical isotopic
records, J. Geophys. Res.-Atmos., 115, D12118,
https://doi.org/10.1029/2009jd013255, 2010.
Risi, C., Noone, D., Worden, J., Frankenberg, C., Stiller, G., Kiefer, M.,
Funke, B., Walker, K., Bernath, P., Schneider, M., Wunch, D., Sherlock, V.,
Deutscher, N., Griffith, D., Wennberg, P. O., Strong, K., Smale, D., Mahieu,
E., Barthlott, S., Hase, F., Garcia, O., Notholt, J., Warneke, T., Toon, G.,
Sayres, D., Bony, S., Lee, J., Brown, D., Uemura, R., and Sturm, C.:
Process-evaluation of tropospheric humidity simulated by general circulation
models using water vapor isotopologues: 1. Comparison between models and
observations, J. Geophys. Res.-Atmos., 117, D05303,
https://doi.org/10.1029/2011jd016621, 2012.
Risi, C., Landais, A., Winkler, R., and Vimeux, F.: Can we determine what controls the spatio-temporal distribution of d-excess and 17O-excess in precipitation using the LMDZ general circulation model?, Clim. Past, 9, 2173–2193, https://doi.org/10.5194/cp-9-2173-2013, 2013a.
Risi, C., Noone, D., Frankenberg, C., and Worden, J.: Role of continental
recycling in intraseasonal variations of continental moisture as deduced
from model simulations and water vapor isotopic measurements, Water
Resour. Res., 49, 4136–4156, https://doi.org/10.1002/wrcr.20312, 2013b.
Roca, R., Chambon, P., Jobard, I., Kirstetter, P.-E., Gosset, M., and
Bergès, J. C.: Comparing satellite and surface rainfall products over
West Africa at meteorologically relevant scales during the AMMA campaign
using error estimates, J. Appl. Meteorol. Clim., 49,
715–731, https://doi.org/10.1175/2009jamc2318.1, 2010.
Salati, E., Dall'Olio, A., Matsui, E., and Gat, J. R.: Recycling of water in
the Amazon basin: an isotopic study, Water Resour. Res., 15,
1250–1258, https://doi.org/10.1029/wr015i005p01250, 1979.
Salmon, O. E., Welp, L. R., Baldwin, M. E., Hajny, K. D., Stirm, B. H., and Shepson, P. B.: Vertical profile observations of water vapor deuterium excess in the lower troposphere, Atmos. Chem. Phys., 19, 11525–11543, https://doi.org/10.5194/acp-19-11525-2019, 2019.
Samuels-Crow, K. E., Galewsky, J., Sharp, Z. D., and Dennis, K. J.:
Deuterium excess in subtropical free troposphere water vapor: Continuous
measurements from the Chajnantor Plateau, northern Chile, Geophys. Res. Lett., 41, 8652–8659, https://doi.org/10.1002/2014gl062302, 2015.
Sánchez-Murillo, R., Durán-Quesada, A. M., Esquivel-Hernández,
G., Rojas-Cantillano, D., Birkel, C., Welsh, K., Sánchez-Llull, M.,
Alonso-Hernández, C. M., Tetzlaff, D., and Soulsby, C.: Deciphering key
processes controlling rainfall isotopic variability during extreme tropical
cyclones, Nat. Commun., 10, 4321, https://doi.org/10.1038/s41467-019-12062-3, 2019.
Saranya, P., Krishan, G., Rao, M., Kumar, S., and Kumar, B.: Controls on
water vapor isotopes over Roorkee, India: Impact of convective activities
and depression systems, J. Hydrol., 557, 679–687, https://doi.org/10.1016/j.jhydrol.2017.12.061, 2018.
Schmidt, M., Maseyk, K., Lett, C., Biron, P., Richard, P., Bariac, T., and
Seibt, U.: Concentration effects on laser-based δ18O and δ2H
measurements and implications for the calibration of vapour measurements
with liquid standards, Rapid Commun. Mass Sp., 24,
3553–3561, https://doi.org/10.1002/rcm.4813, 2010.
Schneider, D. P. and Noone, D. C.: Spatial covariance of water isotope
records in a global network of ice cores spanning twentieth-century climate
change, J. Geophys. Res.-Atmos., 112, D18105, https://doi.org/10.1029/2007jd008652, 2007.
Shi, X., Risi, C., Pu, T., Lacour, J. l., Kong, Y., Wang, K., He, Y., and
Xia, D.: Variability of isotope composition of precipitation in the
southeastern Tibetan Plateau from the synoptic to seasonal time scale,
J. Geophys. Res.-Atmos., 125, e2019JD031751, https://doi.org/10.1029/2019jd031751, 2020.
Steen-Larsen, H. C., Johnsen, S. J., Masson-Delmotte, V., Stenni, B., Risi, C., Sodemann, H., Balslev-Clausen, D., Blunier, T., Dahl-Jensen, D., Ellehøj, M. D., Falourd, S., Grindsted, A., Gkinis, V., Jouzel, J., Popp, T., Sheldon, S., Simonsen, S. B., Sjolte, J., Steffensen, J. P., Sperlich, P., Sveinbjörnsdóttir, A. E., Vinther, B. M., and White, J. W. C.: Continuous monitoring of summer surface water vapor isotopic composition above the Greenland Ice Sheet, Atmos. Chem. Phys., 13, 4815–4828, https://doi.org/10.5194/acp-13-4815-2013, 2013.
Steen-Larsen, H. C., Risi, C., Werner, M., Yoshimura, K., and
Masson-Delmotte, V.: Evaluating the skills of isotope-enabled General
Circulation Models against in-situ atmospheric water vapor isotope
observations, J. Geophys. Res., 122, 246–263, https://doi.org/10.1002/2016jd025443, 2017.
Tan, M.: Circulation effect: response of precipitation delta δ18O to the
ENSO cycle in monsoon regions of China, Clim. Dynam., 42, 1067–1077,
https://doi.org/10.1007/s00382-013-1732-x, 2014.
Terzer-Wassmuth, S., Wassenaar, L. I., Welker, J. M., and
Araguás-Araguás, L. J.: Improved high-resolution global and
regionalized isoscapes of δ18O, δ2H and d-excess in precipitation,
Hydrol. Process., 35, e14254, https://doi.org/10.1002/hyp.14254, 2021.
Thompson, L. G.: Ice core evidence for climate change in the Tropics:
implications for our future, Quaternary Sci. Rev., 19, 19–35,
https://doi.org/10.1016/s0277-3791(99)00052-9, 2000.
Thompson, L. G., Yao, T., Mosley-Thompson, E., Davis, M., Henderson, K., and
Lin, P.-N.: A high-resolution millennial record of the South Asian monsoon
from Himalayan ice cores, Science, 289, 1916–1919, https://doi.org/10.1126/science.289.5486.1916, 2000.
Thompson, L. O., Mosley-Thompson, E., Davis, M., Lin, P., Yao, T.,
Dyurgerov, M., and Dai, J.: “Recent warming”: ice core evidence from
tropical ice cores with emphasis on Central Asia, Global Planet.
Change, 7, 145–156, https://doi.org/10.1016/0921-8181(93)90046-q, 1993.
Thompson, L. O., Yao, T., Davis, M., Henderson, K., Mosley-Thompson, E.,
Lin, P.-N., Beer, J., Synal, H.-A., Cole-Dai, J., and Bolzan, J.: Tropical
climate instability: The last glacial cycle from a Qinghai-Tibetan ice core,
Science, 276, 1821–1825, https://doi.org/10.1126/science.276.5320.1821, 1997.
Thurnherr, I., Kozachek, A., Graf, P., Weng, Y., Bolshiyanov, D., Landwehr, S., Pfahl, S., Schmale, J., Sodemann, H., Steen-Larsen, H. C., Toffoli, A., Wernli, H., and Aemisegger, F.: Meridional and vertical variations of the water vapour isotopic composition in the marine boundary layer over the Atlantic and Southern Ocean, Atmos. Chem. Phys., 20, 5811–5835, https://doi.org/10.5194/acp-20-5811-2020, 2020.
Tian, L., Yao, T., Schuster, P. F., White, J. W. C., Ichiyanagi, K.,
Pendall, E., Pu, J., and Yu, W.: Oxygen-18 concentrations in recent
precipitation and ice cores on the Tibetan Plateau, J. Geophys. Res.-Atmos., 108, 4293, https://doi.org/10.1029/2002jd002173, 2003.
Tian, L., Yao, T., Li, Z., MacClune, K., Wu, G., Xu, B., Li, Y., Lu, A., and
Shen, Y.: Recent rapid warming trend revealed from the isotopic record in
Muztagata ice core, eastern Pamirs, J. Geophys. Res.-Atmos., 111, D13103, https://doi.org/10.1029/2005jd006249, 2006.
Tian, L., Yao, T., MacClune, K., White, J. W. C., Schilla, A., Vaughn, B.,
Vachon, R., and Ichiyanagi, K.: Stable isotopic variations in west China: A
consideration of moisture sources, J. Geophys. Res.-Atmos., 112, D10112, https://doi.org/10.1029/2006jd007718, 2007.
Tian, L., Yu, W., Schuster, P. F., Wen, R., Cai, Z., Wang, D., Shao, L.,
Cui, J., and Guo, X.: Control of seasonal water vapor isotope variations at
Lhasa, southern Tibetan Plateau, J. Hydrol., 580, 124237, https://doi.org/10.1016/j.jhydrol.2019.124237, 2020.
Van Breukelen, M., Vonhof, H., Hellstrom, J., Wester, W., and Kroon, D.:
Fossil dripwater in stalagmites reveals Holocene temperature and rainfall
variation in Amazonia, Earth Planet. Sc. Lett., 275, 54–60, https://doi.org/10.1016/j.epsl.2008.07.060,
2008.
Vimeux, F., Gallaire, R., Bony, S., Hoffmann, G., and Chiang, J. C.: What are the climate controls on δD in precipitation in the Zongo Valley (Bolivia)? Implications for the Illimani ice core interpretation, Earth Planet. Sc. Lett., 240, 205–220, https://doi.org/10.1016/j.epsl.2005.09.031, 2005.
Wallace, J. M. and Hobbs, P. V.: Atmospheric science: an introductory
survey, International Geophysics Series, ISSN 0074-6142, Elsevier Academic Press, 483 pp., ISBN 012732951X, 9780127329512 2006.
Wang, B.: Rainy season of the Asian–Pacific summer monsoon, J. Climate, 15, 386–398, https://doi.org/10.1175/1520-0442(2002)015<0386:rsotap>2.0.co;2, 2002.
Wang, B. and Xu, X.: Northern Hemisphere summer monsoon singularities and
climatological intraseasonal oscillation, J. Climate, 10, 1071–1085, https://doi.org/10.1175/1520-0442(1997)010<1071:nhsmsa>2.0.co;2,
1997.
Wang, D. and Tian, L.: Vehicle-based in-situ observations of the water vapor isotopic composition across China during the monsoon season 2018, PANGAEA [data set], https://doi.org/10.1594/PANGAEA.947606, 2022a.
Wang, D. and Tian, L.: Vehicle-based in-situ observations of the water vapor isotopic composition across China during the pre-monsoon season 2019, PANGAEA [data set], https://doi.org/10.1594/PANGAEA.947627, 2022b.
Wang, D. and Wang, K.: Isotopes in precipitation in China (1986–1999),
Sci. China Ser. E, 44, 48–51, https://doi.org/10.1007/bf02916789, 2001.
Wang, G., Lan, H., and Liu, Z.: Stable isotope record of super typhoon
Lekima (2019), Atmos. Res., 264, 105822, https://doi.org/10.1016/j.atmosres.2021.105822, 2021.
Wang, Q. and Zhang, L.: Analysis of the August 2018 atmosphere circulation
and weather, Meteorological Monthly, 44, 1501–1508, 2018.
West, J. B., Bowen, G. J., Dawson, T. E., and Tu, K. P.: Isoscapes:
understanding movement, pattern, and process on Earth through isotope
mapping, Springer Nature, 511 pp.,
ISBN 9789048133536, 2009.
Winnick, M. J., Chamberlain, C. P., Caves, J. K., and Welker, J. M.:
Quantifying the isotopic “continental effect”, Earth Planet. Sc. Lett., 406, 123–133, https://doi.org/10.1016/j.epsl.2014.09.005, 2014.
Worden, J., Noone, D., Bowman, K., and Tropospheric Emission, S.: Importance
of rain evaporation and continental convection in the tropical water cycle,
Nature, 445, 528–532, https://doi.org/10.1038/nature05508, 2007.
Wright, H. E.: Global climates since the last glacial maximum, University of Minnesota Press Minneapolis,
569 pp., ISBN 97808166214530816621454, 1993.
Yao, T., Ding, L., Pu, J., Liu, J., and Yang, Z.: Characteristic of δ18O
in snow and its relation with moisture sources in Tanggula Mountains,
Tibetan Plateau, Chinese Sci. Bull., 36, 1570–1573, 1991.
Yoshimura, K. and Kanamitsu, M.: Specification of External Forcing for
Regional Model Integrations, Mon. Weather Rev., 137, 1409–1421, https://doi.org/10.1175/2008mwr2654.1, 2009.
Short summary
To better understand the spatial and temporal distribution of vapor isotopes, we present two vehicle-based spatially continuous snapshots of the near-surface vapor isotopes in China during the pre-monsoon and monsoon periods. These observations are explained well by different moisture sources and processes along the air mass trajectories. Our results suggest that proxy records need to be interpreted in the context of regional systems and sources of moisture.
To better understand the spatial and temporal distribution of vapor isotopes, we present two...
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