Articles | Volume 2, issue 3
https://doi.org/10.5194/wcd-2-819-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wcd-2-819-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Oceanic moisture sources contributing to wintertime Euro-Atlantic blocking
Ayako Yamamoto
CORRESPONDING AUTHOR
Department of Ocean Sciences, Tokyo University of Marine Science and Technology, Tokyo, Japan
Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan
Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan
Masami Nonaka
Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan
Patrick Martineau
Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan
Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan
Akira Yamazaki
Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan
Young-Oh Kwon
Woods Hole Oceanographic Institution, Woods Hole, MA, USA
Hisashi Nakamura
Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan
Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan
Bunmei Taguchi
Faculty of Sustainable Design, University of Toyama, Toyama, Japan
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Cited articles
Ahmadi-Givi, B. F., Graig, G. C., and Plant, R. S.: The dynamics of a midlatitude cyclone with very strong latent-heat release, Q. J. Roy. Meteor. Soc., 130, 295–323, https://doi.org/10.1256/qj.02.226, 2004. a
Barriopedro, D., García-Herrera, R., and Trigo, R. M.: Application of blocking diagnosis methods to General Circulation Models. Part I: A novel detection scheme, Clim. Dynam., 35, 1373–1391, https://doi.org/10.1007/s00382-010-0767-5, 2010. a
Baumgart, M., Riemer, M., Wirth, V., Teubler, F., and Lang, S. T.: Potential vorticity dynamics of forecast errors: A quantitative case study, Mon. Weather Rev., 146, 1405–1425, https://doi.org/10.1175/MWR-D-17-0196.1, 2018. a
Berman, J. D. and Torn, R. D.: The impact of initial condition and warm conveyor belt forecast uncertainty on variability in the downstream waveguide in an ECWMF case study, Mon. Weather Rev., 147, 4071–4089, https://doi.org/10.1175/MWR-D-18-0333.1, 2019. a
Binder, H., Boettcher, M., Joos, H., and Wernli, H.: The role of warm conveyor belts for the intensification of extratropical cyclones in Northern Hemisphere winter, J. Atmos. Sci., 73, 3997–4020, https://doi.org/10.1175/JAS-D-15-0302.1, 2016. a
Booth, J. F., Dunn-Sigouin, E., and Pfahl, S.: The relationship between extratropical cyclone steering and blocking along the North American East Coast, Geophys. Res. Lett., 44, 11976–11984, https://doi.org/10.1002/2017GL075941, 2017. a
Boutle, I. A., Beare, R. J., Belcher, S. E., Brown, A. R., and Plant, R. S.: The moist boundary layer under a mid-latitude weather system, Bound.-Lay. Meteorol., 134, 367–386, https://doi.org/10.1007/s10546-009-9452-9, 2010. a, b, c
Browning, K. A.: The dry intrusion perspective of extra-tropical cyclone development, Meteorol. Appl., 4, 317–324, https://doi.org/10.1017/S1350482797000613, 1997. a
Chen, C., Wang, G., Xie, S.-P., and Liu, W.: Why does global warming weaken the Gulf Stream but intensify the Kuroshio?, J. Climate, 32, 7437–7451, https://doi.org/10.1175/jcli-d-18-0895.1, 2019. a
Croci-Maspoli, M. and Davies, H. C.: Key dynamical features of the 2005/06 European winter, Mon. Weather Rev., 137, 664–678, https://doi.org/10.1175/2008mwr2533.1, 2008. a, b
Davini, P. and D'Andrea, F.: Northern Hemisphere atmospheric blocking representation in global climate models: Twenty years of improvements?, J. Climate, 29, 8823–8840, https://doi.org/10.1175/JCLI-D-16-0242.1, 2016. a, b
Doblas-Reyes, F. J., Casado, M. J., and Pastor, M. A.: Sensitivity of the Northern Hemisphere blocking frequency to the detection index, J. Geophys. Res.-Atmos., 107, 4009, https://doi.org/10.1029/2000jd000290, 2002. a
Dole, R. M. and Gordon, N. D.: Persistent anomalies of the extratropical Northern Hemisphere wintertime circulation: Structure, Mon. Weather Rev., 111, 1567–1586, https://doi.org/10.1175/1520-0493(1986)114<0178:PAOTEN>2.0.CO;2, 1983. a, b, c
Emanuel, K. A. and Živković-Rothman, M.: Development and evaluation of a convection scheme for use in climate models, J. Atmos. Sci., 56, 1766–1782, https://doi.org/10.1175/1520-0469(1999)056<1766:DAEOAC>2.0.CO;2, 1999. a
FLEXPART: The official FLEXPART web site, available at: https://www.flexpart.eu/, last access: 20 March 2019. a
Grams, C. M., Wernli, H., Böttcher, M., Čampa, J., Corsmeier, U., Jones, S. C., Keller, J. H., Lenz, C. J., and Wiegand, L.: The key role of diabatic processes in modifying the upper-tropospheric wave guide: A North Atlantic case-study, Q. J. Roy. Meteor. Soc., 137, 2174–2193, https://doi.org/10.1002/qj.891, 2011. a, b
Grams, C. M., Magnusson, L., and Madonna, E.: An atmospheric dynamics perspective on the amplification and propagation of forecast error in numerical weather prediction models: A case study, Q. J. Roy. Meteor. Soc., 144, 2577–2591, https://doi.org/10.1002/qj.3353, 2018. a
Häkkinen, S., Rhines, P. B., and Worthen, D. L.: Atmospheric blocking and Atlantic multidecadal ocean variability, Science, 334, 655–659, https://doi.org/10.1126/science.1205683, 2011. a
Hoskins, B. J.: Towards a PV-theta view of the general circulation, Tellus A, 43, 27–35, https://doi.org/10.1034/j.1600-0870.1991.t01-3-00005.x, 1991. a
Joyce, T. M., Kwon, Y.-O., Seo, H., and Ummenhofer, C. C.: Meridional Gulf Stream shifts can influence wintertime variability in the North Atlantic storm track and Greenland blocking, Geophys. Res. Lett., 46, 1702–1708, https://doi.org/10.1029/2018GL081087, 2019. a, b, c
Kwon, Y. O. and Joyce, T. M.: Northern hemisphere winter atmospheric transient eddy heat fluxes and the gulf stream and Kuroshio-Oyashio extension variability, J. Climate, 26, 9839–9859, https://doi.org/10.1175/JCLI-D-12-00647.1, 2013. a
Kwon, Y.-O., Alexander, M. A., Bond, N. A., Frankignoul, C., Nakamura, H., Qiu, B., and Thompson, L.: Role of the Gulf Stream and Kuroshio-Oyashio systems in large-scale atmosphere-ocean interaction: A review, J. Climate, 23, 3249–3281, https://doi.org/10.1175/2010JCLI3343.1, 2010. a, b
Kwon, Y.-O., Seo, H., Ummenhofer, C. C., and Joyce, T. M.: Impact of multidecadal variability in Atlantic SST on winter atmospheric blocking, J. Climate, 33, 867–892, https://doi.org/10.1175/JCLI-D-19-0324.1, 2020. a, b
Maddison, J. W., Gray, S. L., Martínez-Alvarado, O., and Williams, K. D.: Upstream cyclone influence on the predictability of block onsets over the Euro-Atlantic region, Mon. Weather Rev., 147, 1277–1296, https://doi.org/10.1175/MWR-D-18-0226.1, 2019. a
Maryon, R. H.: Determining cross-wind variance for low frequency wind meander, Atmos. Environ., 32, 115–121, 1998. a
Masato, G., Hoskins, B. J., and Woollings, T. J.: Wave-breaking characteristics of midlatitude blocking, Q. J. Roy. Meteor. Soc., 138, 1285–1296, https://doi.org/10.1002/qj.990, 2012. a
McCarthy, G. D., Joyce, T. M., and Josey, S. A.: Gulf Stream variability in the context of quasi-decadal and multi-decadal Atlantic climate variability, Geophys. Res. Lett., 45, 11257–11264, https://doi.org/10.1029/2018GL079336, 2018. a
Methven, J.: Potential vorticity in warm conveyor belt outflow, Q. J. Roy. Meteor. Soc., 141, 1065–1071, https://doi.org/10.1002/qj.2393, 2015. a, b
Nakamura, H.: Rotational evolution of potential vorticity associated with a strong blocking flow configuration over Europe, Geophys. Res. Lett., 21, 2003–2006, https://doi.org/10.1029/94GL01614, 1994. a
Nakamura, H. and Fukamachi, T.: Evolution and dynamics of summertime blocking over the Far East and the associated surface Okhotsk high, Q. J. Roy. Meteor. Soc., 130, 1213–1233, https://doi.org/10.1256/qj.03.101, 2004. a
Nakamura, H., Nakamura, M., and Anderson, J. L.: The role of high- and low-frequency dynamics in blocking formation, Mon. Weather Rev., 125, 2074–2093, https://doi.org/10.1175/1520-0493(1997)125<2074:trohal>2.0.co;2, 1997. a, b
Nakamura, H., Sampe, T., Tanimoto, Y., and Shimpo, A.: Observed associations among storm tracks, jet streams and midlatitude oceanic fronts, in: Earth's Climate: The Ocean-Atmosphere Interaction, edited by: Wang, C., Xie, S.-P., and Carton, J. A., American Geophysical Union, Washington, D.C., USA, 329–346, https://doi.org/10.1029/147GM18, 2004. a
Newman, M., Kiladis, G. N., Weickmann, K. M., Ralph, M. F., and Sardeshmukh, P. D.: Relative contributions of synoptic and low-frequency eddies to time-mean atmospheric moisture transport, including the role of atmospheric rivers, J. Climate, 25, 7341–7361, https://doi.org/10.1175/JCLI-D-11-00665.1, 2012. a
Novak, L., Ambaum, M. H., and Tailleux, R.: The life cycle of the North Atlantic storm track, J. Atmos. Sci., 72, 821–833, https://doi.org/10.1175/JAS-D-14-0082.1, 2015. a
Oertel, A., Boettcher, M., Joos, H., Sprenger, M., and Wernli, H.: Potential vorticity structure of embedded convection in a warm conveyor belt and its relevance for large-scale dynamics, Weather Clim. Dynam., 1, 127–153, https://doi.org/10.5194/wcd-1-127-2020, 2020. a
O'Reilly, C. H. and Czaja, A.: The response of the pacific storm track and atmospheric circulation to kuroshio extension variability, Q. J. Roy. Meteor. Soc., 141, 52–66, https://doi.org/10.1002/qj.2334, 2015. a, b
O'Reilly, C. H., Minobe, S., and Kuwano-Yoshida, A.: The influence of the Gulf Stream on wintertime European blocking, Clim. Dynam., 47, 1545–1567, https://doi.org/10.1007/s00382-015-2919-0, 2016. a
Pelly, J. L. and Hoskins, B. J.: A new perspective on blocking, J. Atmos. Sci., 60, 743–755, https://doi.org/10.1175/1520-0469(2003)060<0743:ANPOB>2.0.CO;2, 2003. a, b
Pfahl, S., Madonna, E., Boettcher, M., Joos, H., and Wernli, H.: Warm conveyor belts in the ERA-Interim Dataset (1979–2010). Part II: Moisture origin and relevance for precipitation, J. Climate, 27, 27–40, https://doi.org/10.1175/JCLI-D-13-00223.1, 2014. a
Qiu, B. and Chen, S.: Eddy-induced heat transport in the subtropical North Pacific from Argo, TMI, and altimetry measurements, J. Phys. Oceanogr., 35, 458–473, https://doi.org/10.1175/JPO2696.1, 2005. a
Raveh-Rubin, S.: Dry intrusions: Lagrangian climatology and dynamical impact on the planetary boundary layer, J. Climate, 30, 6661–6682, https://doi.org/10.1175/JCLI-D-16-0782.1, 2017. a
Rex, D. F.: Blocking action in the middle troposphere and its effect upon regional climate, Tellus, 2, 275–301, https://doi.org/10.3402/tellusa.v2i4.8603, 1950. a
Saha, S., Moorthi, S., Pan, H.-L., Wu, X., Wang, J., Nadiga, S., Tripp, P., Kistler, R., Woollen, J., Behringer, D., Liu, H., Stokes, D., Grumbine, R., Gayno, G., Wang, J., Hou, Y.-T., Chuang, H.-Y., Juang, H.-M. H., Sela, J., Iredell, M., Treadon, R., Kleist, D., Van Delst, P., Keyser, D., Derber, J., Ek, M., Meng, J., Wei, H., Yang, R., Lord, S., van den Dool, H., Kumar, A., Wang, W., Long, C., Chelliah, M., Xue, Y., Huang, B., Schemm, J.-K., Ebisuzaki, W., Lin, R., Xie, P., Chen, M., Zhou, S., Higgins, W., Zou, C.-Z., Liu, Q., Chen, Y., Han, Y., Cucurull, L., Reynolds, R. W., Rutledge, G., and Goldberg, M.: The NCEP Climate Forecast System Reanalysis, B. Am. Meteorol. Soc., 91, 1015–1057, https://doi.org/10.1175/2010BAMS3001.1, 2010a. a
Saha, S., Moorthi, S., Pan, H., Wu, X., Wang, J., Nadiga, S., Tripp, P., Kistler, R., Woollen, J., Behringer, D., Liu, H., Stokes, D., Grumbine, R., Gayno, G., Wang, J., Hou, Y., Chuang, H., Juang, H. H., Sela, J., Iredell, M., Treadon, R., Kleist, D., Delst, P. V., Keyser, D., Derber, J., Ek, M., Meng, J., Wei, H., Yang, R., Lord, S., van den Dool, H., Kumar, A., Wang, W., Long, C., Chelliah, M., Xue, Y., Huang, B., Schemm, J., Ebisuzaki, W., Lin, R., Xie, P., Chen, M., Zhou, S., Higgins, W., Zou, C., Liu, Q., Chen, Y., Han, Y., Cucurull, L., Reynolds, R. W., Rutledge, G., and Goldberg, M.: NCEP Climate Forecast System Reanalysis (CFSR) Selected Hourly Time-Series Products, January 1979 to December 2010, Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory [data set], https://doi.org/10.5065/D6513W89, 2010b. a
Sausen, R., König, W., and Sielmann, F.: Analysis of blocking events from observations and ECHAM model simulations, Tellus A, 47, 421–438, https://doi.org/10.3402/tellusa.v47i4.11526, 1994. a
Scaife, A. A., Copsey, D., Gordon, C., Harris, C., Hinton, T., Keeley, S., O'Neill, A., Roberts, M., and Williams, K.: Improved Atlantic winter blocking in a climate model, Geophys. Res. Lett., 38, L23703, https://doi.org/10.1029/2011GL049573, 2011. a
Scherrer, S. C., Croci-Maspoli, M., Schwierz, C., and Appenzeller, C.: Two-dimensional indices of atmospheric blocking and their statistical relationship with winter climate patterns in the Euro-Atlantic region, Int. J. Climatol., 26, 233–249, https://doi.org/10.1002/joc.1250, 2006. a, b
Schwierz, C., Croci-Maspoli, M., and Davies, H. C.: Perspicacious indicators of atmospheric blocking, Geophys. Res. Lett., 31, L06125, https://doi.org/10.1029/2003gl019341, 2004. a, b
Sheldon, L., Czaja, A., Vannière, B., Morcrette, C., Sohet, B., Casado, M., and Smith, D.: A `warm path' for Gulf Stream-troposphere interactions, Tellus A, 69, 1–15, https://doi.org/10.1080/16000870.2017.1299397, 2017.
a
Shutts, G. J.: The propagation of eddies in diffluent jetstreams: Eddy vorticity forcing of “blocking” flow fields, Q. J. Roy. Meteor. Soc., 109, 737–761, https://doi.org/10.1002/qj.49710946204, 1983. a
Sodemann, H., Schwierz, C., and Wernli, H.: Interannual variability of Greenland winter precipitation sources: Lagrangian moisture diagnostic and North Atlantic Oscillation influence, J. Geophys. Res.-Atmos., 113, 1–17, https://doi.org/10.1029/2007JD008503, 2008. a
Stohl, A., Forster, C., Frank, A., Seibert, P., and Wotawa, G.: Technical note: The Lagrangian particle dispersion model FLEXPART version 6.2, Atmos. Chem. Phys., 5, 2461–2474, https://doi.org/10.5194/acp-5-2461-2005, 2005. a, b, c
Thomson, D. J.: Criteria for the selection of stochastic models of particle trajectories in turbulent flows, J. Fluid Mech., 180, 529–556, https://doi.org/10.1017/S0022112087001940, 1987. a
Tibaldi, S. and Molteni, F.: On the operational predictability of blocking,
Tellus A, 42, 343–365, https://doi.org/10.1034/j.1600-0870.1990.t01-2-00003.x, 1990. a, b
Wernli, H. and Davies, H. C.: A Lagrangian-based analysis of extratropical cyclones. I: The method and some applications, Q. J. Roy. Meteor. Soc., 123, 467–489, https://doi.org/10.1256/smsqj.53810, 1997. a
Woollings, T., Barriopedro, D., Methven, J., Son, S. W., Martius, O., Harvey, B., Sillmann, J., Lupo, A. R., and Seneviratne, S.: Blocking and its response to climate change, Current Climate Change Reports, 4, 287–300, https://doi.org/10.1007/s40641-018-0108-z, 2018. a, b, c, d
Yamamoto, A. and Palter, J. B.: The absence of an Atlantic imprint on the multidecadal variability of wintertime European temperature, Nat. Commun., 7, 10930, https://doi.org/10.1038/ncomms10930, 2016. a
Yamamoto, A., Palter, J. B., Lozier, M. S., Bourqui, M. S., and Leadbetter, S. J.: Ocean versus atmosphere control on western European wintertime temperature variability, Clim. Dynam., 45, 3593–3607, https://doi.org/10.1007/s00382-015-2558-5, 2015. a, b
Yamazaki, A. and Itoh, H.: Vortex-vortex interactions for the maintenance of blocking. Part II: Numerical experiments, J. Atmos. Sci., 70, 743–766, https://doi.org/10.1175/JAS-D-12-0132.1, 2013b. a, b
Short summary
While the key role of moist processes in blocking has recently been highlighted, their moisture sources remain unknown. Here, we investigate moisture sources for wintertime Euro-Atlantic blocks using a Lagrangian method. We show that the Gulf Stream, Kuroshio, and their extensions, along with the northeast of Hawaii, act as the primary moisture sources and springboards for particle ascent. We find that the evolution of the particle properties is sensitive to the moisture sources.
While the key role of moist processes in blocking has recently been highlighted, their moisture...