Articles | Volume 22, issue 12
https://doi.org/10.5194/acp-22-8037-2022
© Author(s) 2022. 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-22-8037-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
21 Jun 2022
Research article |
| 21 Jun 2022
| 21 Jun 2022
Warm and moist air intrusions into the winter Arctic: a Lagrangian view on the near-surface energy budgets
Cheng You
CORRESPONDING AUTHOR
Department of Meteorology, Stockholm University, Stockholm, Sweden
Bolin Centre for Climate Research, Stockholm University, Stockholm, Sweden
Michael Tjernström
Department of Meteorology, Stockholm University, Stockholm, Sweden
Bolin Centre for Climate Research, Stockholm University, Stockholm, Sweden
Abhay Devasthale
Remote Sensing Unit, Research and Development Department, Swedish Meteorological and Hydrological Institute, Norrköping, Sweden
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Cited articles
Ali, S. M. and Pithan, F.: Following moist intrusions into the Arctic using
SHEBA observations in a Lagrangian perspective, Q. J. Roy. Meteor. Soc., 146, 3522–3533, https://doi.org/10.1002/qj.3859, 2020.
Andreas, E. L., Guest, P. S., Persson, P. O. G., Fairall, C. W., Horst, T.
W., Moritz, R. E., and Semmer, S. R.: Near-surface water vapor over polar sea
ice is always near ice saturation, J. Geophys. Res.-Ocean., 107, SHE 8-1–SHE 8-15, https://doi.org/10.1029/2000jc000411, 2002.
Brooks, I. M., Tjernström, M., Persson, P. O. G., Shupe, M. D.,
Atkinson, R. A., Canut, G., Birch, C. E., Mauritsen, T., Sedlar, J., and
Brooks, B. J.: The Turbulent Structure of the Arctic Summer Boundary Layer
During The Arctic Summer Cloud-Ocean Study, J. Geophys. Res.-Atmos.,
122, 9685–9704, https://doi.org/10.1002/2017JD027234, 2017.
Cohen, J., Screen, J. A., Furtado, J. C., Barlow, M., Whittleston, D.,
Coumou, D., Francis, J., Dethloff, K., Entekhabi, D., Overland, J., and
Jones, J.: Recent Arctic amplification and extreme mid-latitude weather,
Nat. Geosci., 7, 627–637, https://doi.org/10.1038/ngeo2234, 2014.
Cox, C. J., Stone, R. S., Douglas, D. C., Stanitski, D. M., and Gallagher, M.
R.: The Aleutian Low-Beaufort Sea Anticyclone: A Climate Index Correlated
With the Timing of Springtime Melt in the Pacific Arctic Cryosphere,
Geophys. Res. Lett., 46, 7464–7473, https://doi.org/10.1029/2019GL083306, 2019.
Draxler, R. R.: Sensitivity of a Trajectory Model to the Spatial and
Temporal Resolution of the Meteorological Data during CAPTEX, J. Clim. Appl.
Meteorol., 26, 1577–1588, https://doi.org/10.1175/1520-0450(1987)026<1577:soatmt>2.0.co;2, 1987.
Gong, T. and Luo, D.: Ural blocking as an amplifier of the Arctic sea ice
decline in winter, J. Climate, 30, 2639–2654, https://doi.org/10.1175/JCLI-D-16-0548.1, 2017.
Gong, T., Feldstein, S., and Lee, S.: The role of downward infrared radiation
in the recent arctic winter warming trend, J. Climate, 30, 4937–4949,
https://doi.org/10.1175/JCLI-D-16-0180.1, 2017.
Graham, R. M., Cohen, L., Ritzhaupt, N., Segger, B., Graversen, R. G.,
Rinke, A., Walden, V. P., Granskog, M. A., and Hudson, S. R.: Evaluation of
six atmospheric reanalyses over Arctic sea ice from winter to early summer,
J. Climate, 32, 4121–4143, https://doi.org/10.1175/JCLI-D-18-0643.1, 2019.
Graversen, R. G., Mauritsen, T., Tjernström, M., Källén, E., and
Svensson, G.: Vertical structure of recent Arctic warming, Nature, 451, 53–56, https://doi.org/10.1038/nature06502, 2008.
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A.,
Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D.,
Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P.,
Biavati, G., Bidlot, J., Bonavita, M., De Chiara, G., Dahlgren, P., Dee, D.,
Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer,
A., Haimberger, L., Healy, S., Hogan, R. J., Hólm, E., Janisková,
M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., de Rosnay,
P., Rozum, I., Vamborg, F., Villaume, S., and Thépaut, J. N.: The ERA5
global reanalysis, Q. J. Roy. Meteor. Soc., 146, 1999–2049, https://doi.org/10.1002/qj.3803, 2020 (data available at: https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era5, last access: 14 June 2022).
Johansson, E., Devasthale, A., Tjernström, M., Ekman, A. M. L., and L'Ecuyer, T.: Response of the lower troposphere to moisture intrusions into the Arctic, Geophys. Res. Lett., 44, 2527–2536, https://doi.org/10.1002/2017GL072687, 2017.
Kahl, J. D. and Samson, P. J.: Uncertainty in trajectory calculations due to
low resolution meteorological data, J. Clim. Appl. Meteorol., 25, 1816–1831,
https://doi.org/10.1175/1520-0450(1986)025<1816:UITCDT>2.0.CO;2, 1986.
Kim, B. M., Son, S. W., Min, S. K., Jeong, J. H., Kim, S. J., Zhang, X.,
Shim, T., and Yoon, J. H.: Weakening of the stratospheric polar vortex by
Arctic sea-ice loss, Nat. Commun., 5, 4646, https://doi.org/10.1038/ncomms5646, 2014.
Kim, K. Y. and Son, S. W.: Physical characteristics of Eurasian winter
temperature variability, Environ. Res. Lett., 11, 044009,
https://doi.org/10.1088/1748-9326/11/4/044009, 2016.
Kim, K. Y., Kim, J. Y., Kim, J., Yeo, S., Na, H., Hamlington, B. D., and
Leben, R. R.: Vertical Feedback Mechanism of Winter Arctic Amplification and
Sea Ice Loss, Sci. Rep., 9, 1184, https://doi.org/10.1038/s41598-018-38109-x, 2019.
Komatsu, K. K., Alexeev, V. A., Repina, I. A., and Tachibana, Y.: Poleward
upgliding Siberian atmospheric rivers over sea ice heat up Arctic upper air,
Sci. Rep., 8, 2872, https://doi.org/10.1038/s41598-018-21159-6, 2018.
Lee, S., Gong, T., Feldstein, S. B., Screen, J. A., and Simmonds, I.:
Revisiting the Cause of the 1989–2009 Arctic Surface Warming Using the
Surface Energy Budget: Downward Infrared Radiation Dominates the Surface
Fluxes, Geophys. Res. Lett., 44, 10654–10661, https://doi.org/10.1002/2017GL075375, 2017.
Lemone, M. A., Angevine, W. M., Bretherton, C. S., Chen, F., Dudhia, J., Fedorovich, E., Katsaros, K. B., Lenschow, D. H., Mahrt, L., Patton, E. G., Sun, J., Tjernström, M., and Weil, J.: 100 Years of Progress in Boundary Layer Meteorology, Meteor. Mon., 59, 9.1–9.85, https://doi.org/10.1175/AMSMONOGRAPHS-D-18-0013.1, 2018.
Li, M., Luo, D., Simmonds, I., Dai, A., Zhong, L., and Yao, Y.: Anchoring of
atmospheric teleconnection patterns by Arctic Sea ice loss and its link to
winter cold anomalies in East Asia, Int. J. Climatol., 41, 547–558, https://doi.org/10.1002/joc.6637, 2021.
Lindsay, R., Wensnahan, M., Schweiger, A., and Zhang, J.: Evaluation of seven
different atmospheric reanalysis products in the arctic, J. Climate, 27,
2588–2606, https://doi.org/10.1175/JCLI-D-13-00014.1, 2014.
Liu, Y., Key, J. R., Vavrus, S., and Woods, C.: Time evolution of the cloud
response to moisture intrusions into the Arctic during Winter, J. Climate,
31, 9389–9405, https://doi.org/10.1175/JCLI-D-17-0896.1, 2018.
Luo, B., Luo, D., Wu, L., Zhong, L., and Simmonds, I.: Atmospheric
circulation patterns which promote winter Arctic sea ice decline, Environ.
Res. Lett., 12, 054017, https://doi.org/10.1088/1748-9326/aa69d0, 2017a.
Luo, D., Yao, Y., Dai, A., Simmonds, I., and Zhong, L.: Increased quasi
stationarity and persistence of winter ural blocking and Eurasian extreme
cold events in response to arctic warming. Part II: A theoretical
explanation, J. Climate, 30, 3569–3587, https://doi.org/10.1175/JCLI-D-16-0262.1, 2017b.
Luo, D., Chen, X., Dai, A., and Simmonds, I.: Changes in atmospheric blocking
circulations linked with winter Arctic warming: A new perspective, J. Climate, 31, 7661–7678, https://doi.org/10.1175/JCLI-D-18-0040.1, 2018.
Luo, D., Chen, X., Overland, J., Simmonds, I., Wu, Y., and Zhang, P.:
Weakened potential vorticity barrier linked to recent winter Arctic Sea ice
loss and midlatitude cold extremes, J. Climate, 32, 4235–4261,
https://doi.org/10.1175/JCLI-D-18-0449.1, 2019.
Mayer, M., Tietsche, S., Haimberger, L., Tsubouchi, T., Mayer, J., and Zuo,
H. A. O.: An improved estimate of the coupled Arctic energy budget, J. Climate, 32, 7915–7934, https://doi.org/10.1175/JCLI-D-19-0233.1, 2019.
Messori, G., Woods, C., and Caballero, R.: On the drivers of wintertime
temperature extremes in the high arctic, J. Climate, 31, 1597–1618,
https://doi.org/10.1175/JCLI-D-17-0386.1, 2018.
Mori, M., Watanabe, M., Shiogama, H., Inoue, J., and Kimoto, M.: Robust
Arctic sea-ice influence on the frequent Eurasian cold winters in past
decades, Nat. Geosci., 7, 869–873, https://doi.org/10.1038/ngeo2277, 2014.
Morrison, H., De Boer, G., Feingold, G., Harrington, J., Shupe, M. D., and
Sulia, K.: Resilience of persistent Arctic mixed-phase clouds, Nat. Geosci.,
5, 11–17, https://doi.org/10.1038/ngeo1332, 2012.
Nygård, T., Naakka, T., and Vihma, T.: Horizontal moisture transport
dominates the regional moistening patterns in the arctic, J. Climate, 33,
6793–6807, https://doi.org/10.1175/JCLI-D-19-0891.1, 2020.
Overland, J. E. and Wang, M.: Recent extreme arctic temperatures are due to
a split polar vortex, J. Climate, 29, 5609–5616, https://doi.org/10.1175/JCLI-D-16-0320.1, 2016.
Overland, J. E., Wood, K. R., and Wang, M.: Warm Arctic-cold continents:
Climate impacts of the newly open arctic sea, Polar Res., 30, 15787,
https://doi.org/10.3402/polar.v30i0.15787, 2011.
Papritz, L.: Arctic lower-tropospheric warm and cold extremes: Horizontal
and vertical transport, diabatic processes, and linkage to synoptic
circulation features, J. Climate, 33, 993–1016, https://doi.org/10.1175/JCLI-D-19-0638.1, 2020.
Papritz, L., Hauswirth, D., and Hartmuth, K.: Moisture origin, transport pathways, and driving processes of intense wintertime moisture transport into the Arctic, Weather Clim. Dynam., 3, 1–20, https://doi.org/10.5194/wcd-3-1-2022, 2022.
Persson, P. O. G., Fairall, C. W., Andreas, E. L., Guest, P. S., and
Perovich, D. K.: Measurements near the Atmospheric Surface Flux Group tower
at SHEBA: Near-surface conditions and surface energy budget, J. Geophys.
Res.-Ocean., 107, 8045, https://doi.org/10.1029/2000jc000705, 2002.
Petoukhov, V. and Semenov, V. A.: A link between reduced Barents-Kara sea
ice and cold winter extremes over northern continents, J. Geophys. Res., 115, D21111, https://doi.org/10.1029/2009JD013568, 2010.
Pithan, F., Medeiros, B., and Mauritsen, T.: Mixed-phase clouds cause climate
model biases in Arctic wintertime temperature inversions, Clim. Dynam., 43, 289–303, https://doi.org/10.1007/s00382-013-1964-9, 2014.
Pithan, F., Svensson, G., Caballero, R., Chechin, D., Cronin, T. W., Ekman,
A. M. L., Neggers, R., Shupe, M. D., Solomon, A., Tjernström, M., and
Wendisch, M.: Role of air-mass transformations in exchange between the
Arctic and mid-latitudes, Nat. Geosci., 11, 805–812,
https://doi.org/10.1038/s41561-018-0234-1, 2018.
Rudeva, I. and Simmonds, I.: Midlatitude winter extreme temperature events
and connections with anomalies in the arctic and tropics, J. Climate, 34,
3733–3749, https://doi.org/10.1175/JCLI-D-20-0371.1, 2021.
Screen, J. A. and Simmonds, I.: The central role of diminishing sea ice in
recent Arctic temperature amplification, Nature, 464, 1334–1337,
https://doi.org/10.1038/nature09051, 2010.
Screen, J. A., Bracegirdle, T. J., and Simmonds, I.: Polar Climate Change as
Manifest in Atmospheric Circulation, Current Climate Change Reports, 4,
383–395, https://doi.org/10.1007/s40641-018-0111-4, 2018.
Sedlar, J. and Tjernström, M.: Clouds, warm air, and a climate cooling
signal over the summer Arctic, Geophys. Res. Lett., 44, 1095–1103, https://doi.org/10.1002/2016GL071959, 2017.
Serreze, M. C. and Francis, J. A.: The arctic amplification debate, Climatic
Change, 76, 241–264, https://doi.org/10.1007/s10584-005-9017-y, 2006.
Simmonds, I.: Comparing and contrasting the behaviour of Arctic and
Antarctic sea ice over the 35 year period 1979–2013, Ann. Glaciol., 56,
18–28, https://doi.org/10.3189/2015AoG69A909, 2015.
Simmonds, I. and Li, M.: Trends and variability in polar sea ice, global
atmospheric circulations, and baroclinicity, Ann. NY Acad. Sci., 1504,
167–186, https://doi.org/10.1111/nyas.14673, 2021.
Sotiropoulou, G., Sedlar, J., Tjernström, M., Shupe, M. D., Brooks, I. M., and Persson, P. O. G.: The thermodynamic structure of summer Arctic stratocumulus and the dynamic coupling to the surface, Atmos. Chem. Phys., 14, 12573–12592, https://doi.org/10.5194/acp-14-12573-2014, 2014.
Stohl, A., Wotawa, G., Seibert, P., and Kromp-Kolb, H.: Interpolation errors
in wind fields as a function of spatial and temporal resolution and their
impact on different types of kinematic trajectories, J. Appl. Meteorol.,
34, 2149–2165, https://doi.org/10.1175/1520-0450(1995)034<2149:IEIWFA>2.0.CO;2, 1995.
Tang, Q., Zhang, X., Yang, X., and Francis, J. A.: Cold winter extremes in
northern continents linked to Arctic sea ice loss, Environ. Res. Lett., 8, 014036, https://doi.org/10.1088/1748-9326/8/1/014036, 2013.
Tjernström, M. and Graversen, R. G.: The vertical structure of the lower
Arctic troposphere analysed from observati0ns and the ERA-40 reanalysis, Q.
J. Roy. Meteor. Soc., 135, 431–443, https://doi.org/10.1002/qj.380, 2009.
Tjernström, M., Birch, C. E., Brooks, I. M., Shupe, M. D., Persson, P. O. G., Sedlar, J., Mauritsen, T., Leck, C., Paatero, J., Szczodrak, M., and Wheeler, C. R.: Meteorological conditions in the central Arctic summer during the Arctic Summer Cloud Ocean Study (ASCOS), Atmos. Chem. Phys., 12, 6863–6889, https://doi.org/10.5194/acp-12-6863-2012, 2012.
Tjernström, M., Shupe, M. D., Brooks, I. M., Persson, P. O. G.,
Prytherch, J., Salisbury, D. J., Sedlar, J., Achtert, P., Brooks, B. J.,
Johnston, P. E., Sotiropoulou, G., and Wolfe, D.: Warm-air advection, air
mass transformation and fog causes rapid ice melt, Geophys. Res. Lett.,
42, 5594–5602, https://doi.org/10.1002/2015GL064373, 2015.
Tjernström, M., Shupe, M. D., Brooks, I. M., Achtert, P., Prytherch, J.,
and Sedlar, J.: Arctic summer airmass transformation, surface inversions,
and the surface energy budget, J. Climate, 32, 769–789, https://doi.org/10.1175/JCLI-D-18-0216.1, 2019.
Wang, C., Graham, R. M., Wang, K., Gerland, S., and Granskog, M. A.: Comparison of ERA5 and ERA-Interim near-surface air temperature, snowfall and precipitation over Arctic sea ice: effects on sea ice thermodynamics and evolution, The Cryosphere, 13, 1661–1679, https://doi.org/10.5194/tc-13-1661-2019, 2019.
Woods, C. and Caballero, R.: The role of moist intrusions in winter arctic
warming and sea ice decline, J. Climate, 29, 4473–4485,
https://doi.org/10.1175/JCLI-D-15-0773.1, 2016.
Woods, C., Caballero, R., and Svensson, G.: Large-scale circulation
associated with moisture intrusions into the Arctic during winter, Geophys.
Res. Lett., 40, 4717–4721, https://doi.org/10.1002/grl.50912, 2013.
You, C., Tjernström, M., and Devasthale, A.: Warm-Air Advection Over
Melting Sea-Ice: A Lagrangian Case Study, Bound.-Lay. Meteorol., 179, 99–116, https://doi.org/10.1007/s10546-020-00590-1, 2020.
You, C., Tjernström, M., and Devasthale, A.: Eulerian and Lagrangian
views of warm and moist air intrusions into summer Arctic, Atmos. Res., 256, 105586, https://doi.org/10.1016/j.atmosres.2021.105586, 2021.
You, C., Tjernström, M., Devasthale, A., and Steinfeld, D.: The role of atmospheric blocking in regulating Arctic warming, Geophys. Res. Lett., 49, e2022GL097899, https://doi.org/10.1029/2022GL097899, 2022.
Short summary
In winter when solar radiation is absent in the Arctic, the poleward transport of heat and moisture into the high Arctic becomes the main contribution of Arctic warming. Over completely frozen ocean sectors, total surface energy budget is dominated by net long-wave heat, while over the Barents Sea, with an open ocean to the south, total net surface energy budget is dominated by the surface turbulent heat.
In winter when solar radiation is absent in the Arctic, the poleward transport of heat and...
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