The Influence of Autumn Eurasian Snow Cover on the Atmospheric Dynamics Anomalies during the Next Winter in INMCM5 Model Data

Authors

  • Maria A. Tarasevich Moscow Institute of Physics and Technology
  • Evgeny M. Volodin Marchuk Institute of Numerical Mathematics of the Russian Academy of Sciences

DOI:

https://doi.org/10.14529/jsfi210403

Keywords:

climate model, seasonal hindcasts, North Atlantic Oscillation, Eurasian snow cover, teleconnection

Abstract

The influence of autumn Eurasian snow cover on the atmospheric dynamics anomalies during the following winter is studied based on the INM RAS climate model data. The North Atlantic Oscillation is the leading pattern that causes the weather and climate variability in the Northern hemisphere. We evaluate the up-to-date model version (INMCM5) ability of the autumn Eurasian snow – winter NAO teleconnection simulation on different timescales. Maximum covariance analysis (MCA) is used to find winter atmospheric signals that are significantly correlated with autumn snow cover anomalies. Using MCA we conclude that Autumn Eurasian snow – winter NAO teleconnection is present in INMCM5 experiments on pre-industrial and present-day climate simulation. However, this method fails to show this phenomenon in experiments on a seasonal timescale. We conduct additional experiments on a seasonal timescale to assess the sensitivity of North Atlantic Oscillation index predictability to initial snow cover perturbations. These experiments demonstrate the absence of direct autumn Eurasian snow impact on the NAO index.

References

Bonavita, M., Hólm, E., Isaksen, L., Fisher, M.: The evolution of the ECMWF hybrid data assimilation system. Quarterly Journal of the Royal Meteorological Society 142(694), 287–303 (2016). https://doi.org/10.1002/qj.2652

Bretherton, C.S., Smith, C., Wallace, J.M.: An Intercomparison of Methods for Finding Coupled Patterns in Climate Data. Journal of Climate 5(6), 541–560 (1992). https://doi.org/10.1175/1520-0442(1992)005<0541:AIOMFF>2.0.CO;2

Carton, J.A., Chepurin, G.A., Chen, L.: SODA3: A New Ocean Climate Reanalysis. Journal of Climate 31(17), 6967–6983 (2018). https://doi.org/10.1175/JCLI-D-18-0149.1

Cohen, J., Barlow, M., Kushner, P.J., Saito, K.: Stratosphere-Troposphere Coupling and Links with Eurasian Land Surface Variability. Journal of Climate 20(21), 5335–5343 (2007). https://doi.org/10.1175/2007JCLI1725.1

Cohen, J., Entekhabi, D.: Eurasian snow cover variability and northern hemisphere climate predictability. Geophysical Research Letters 26(3), 345–348 (1999). https://doi.org/10.1029/1998GL900321

Davison, A.C., Hinkley, D.V.: Bootstrap Methods and their Application. Cambridge University Press, Cambridge (1997). https://doi.org/10.1017/CBO9780511802843

Dee, D.P., Uppala, S.M., Simmons, A.J., et al.: The ERA-Interim reanalysis: configuration and performance of the data assimilation system. Quarterly Journal of the Royal Meteorological Society 137(656), 553–597 (2011). https://doi.org/10.1002/qj.828

Dunstone, N., Smith, D., Scaife, A.: Skilful predictions of the winter North Atlantic Oscillation one year ahead. Nature Geoscience 9(11), 809–814 (2016). https://doi.org/10.1038/ngeo2824

Eyring, V., Bony, S., Meehl, G.A., et al.: Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization. Geoscientific Model Development 9(5), 1937–1958 (2016). https://doi.org/10.5194/gmd-9-1937-2016

Fletcher, C.G., Hardiman, S.C., Kushner, P.J., Cohen, J.: The Dynamical Response to Snow Cover Perturbations in a Large Ensemble of Atmospheric GCM Integrations. Journal of Climate 22(5), 1208–1222 (2009). https://doi.org/10.1175/2008JCLI2505.1

Fletcher, C.G., Kushner, P.J., Cohen, J.: Stratospheric control of the extratropical circulation response to surface forcing. Geophysical Research Letters 34(21), L21802 (2007). https://doi.org/10.1029/2007GL031626

Furtado, J.C., Cohen, J.L., Butler, A.H., et al.: Eurasian snow cover variability and links to winter climate in the CMIP5 models. Climate Dynamics 45(9), 2591–2605 (2015). https://doi.org/10.1007/s00382-015-2494-4

Gong, G., Entekhabi, D., Cohen, J.: Modeled Northern Hemisphere Winter Climate Response to Realistic Siberian Snow Anomalies. Journal of Climate 16(23), 3917–3931 (2003). https://doi.org/10.1175/1520-0442(2003)016<3917:MNHWCR>2.0.CO;2

Hardiman, S.C., Kushner, P.J., Cohen, J.: Investigating the ability of general circulation models to capture the effects of Eurasian snow cover on winter climate. Journal of Geophysical Research: Atmospheres 113(D21), 123 (2008). https://doi.org/10.1029/2008JD010623

Hersbach, H., Bell, B., Berrisford, P., et al.: The ERA5 global reanalysis. Quarterly Journal

of the Royal Meteorological Society 146(730), 1999–2049 (2020). https://doi.org/10.1002/qj.3803

Hurrell, J.W.: Decadal Trends in the North Atlantic Oscillation: Regional Temperatures and Precipitation. Science 269(5224), 676–679 (1995). https://doi.org/10.1126/science.269.5224.676

Hurrell, J.W., Deser, C.: North Atlantic climate variability: The role of the North Atlantic Oscillation. Journal of Marine Systems 78(1), 28–41 (2009). https://doi.org/10.1016/j.jmarsys.2008.11.026

Kim, Y.H., Min, S.K., Zhang, X., et al.: Evaluation of the CMIP6 multi-model ensemble for climate extreme indices. Weather and Climate Extremes 29, 100269 (2020). https://doi.org/10.1016/j.wace.2020.100269

Mann, H.B., Whitney, D.R.: On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other. The Annals of Mathematical Statistics 18(1), 50–60 (1947). https://doi.org/10.1214/aoms/1177730491

Martynova, Y.V.: October snow cover and winter atmospheric conditions in Siberia. In: International Young Scientists School and Conference on Computational Information Technologies for Environmental Sciences, May 27 – June 6, 2019. IOP Conference Series: Earth and Environmental Science, vol. 386, p. 012001. IOP Publishing (2019). https://doi.org/10.1088/1755-1315/386/1/012001

Mortikov, E.: The efficiency of the implementation of iterative methods for the solution of elliptic equations in atmospheric general circulation models on massively parallel systems. In: Sobolev, S., Voevodin, V. (eds.) 1st Russian Conference on Supercomputing Days 2015, RuSCDays 2015s. CEUR Workshop Proceedings, vol. 1482, pp. 528–534. CEUR-WS (2015), http://ceur-ws.org/Vol-1482/528.pdf

Mortikov, E.V.: Improving scalability of the high spatial resolution earth system model software complex. In: Parallelnye vychislitelnye tekhnologii (PaVT 2015). pp. 431–435 (2015), http://omega.sp.susu.ru/books/conference/PaVT2015/short/102.pdf, (in Russian)

Saito, K., Cohen, J., Entekhabi, D.: Evolution of Atmospheric Response to Early-Season Eurasian Snow Cover Anomalies. Monthly Weather Review 129(11), 2746–2760 (2001). https://doi.org/10.1175/1520-0493(2001)129<2746:EOARTE>2.0.CO;2

Scaife, A.A., Arribas, A., Blockley, E.: Skillful long-range prediction of European and North American winters. Geophysical Research Letters 41(7), 2514–2519 (2014). https://doi.org/10.1002/2014GL059637

Smith, D.M., Scaife, A.A., Eade, R.: Seasonal to decadal prediction of the winter North Atlantic Oscillation: emerging capability and future prospects. Quarterly Journal of the Royal Meteorological Society 142(695), 611–617 (2016). https://doi.org/10.1002/qj.2479

Tarasevich, M.A., Volodin, E.M.: Influence of various parameters of INM RAS climate model on the results of extreme precipitation simulation. In: International Young Scientists School and Conference on Computational Information Technologies for Environmental Sciences, May 27 – June 6, 2019. IOP Conference Series: Earth and Environmental Science, vol. 386, p. 012012. IOP Publishing (2019). https://doi.org/10.1088/1755-1315/386/1/012012

Terekhov, K.M., Volodin, E.M., Gusev, A.V.: Methods and efficiency estimation of parallel implementation of the -model of general ocean circulation. Russ. J. Numer. Anal. Math. Modelling 26(2), 189–208 (2011). https://doi.org/10.1515/rjnamm.2011.011

Volodin, E.M., Gritsun, A.S.: Simulation of observed climate changes in 1850–2014 with climate model INM-CM5. Earth System Dynamics 9(4), 1235–1242 (2018). https://doi.org/10.5194/esd-9-1235-2018

Volodin, E.M., Kostrykin, S.V.: The aerosol module in the INM RAS climate model. Russian Meteorology and Hydrology 41(8), 519–528 (2016). https://doi.org/10.3103/S106837391608001X

Volodin, E.M., Mortikov, E.V., Kostrykin, S.V., et al.: Simulation of modern climate with the new version of the INM RAS climate model. Izvestiya, Atmospheric and Oceanic Physics 53(2), 142–155 (2017). https://doi.org/10.1134/S0001433817020128

Volodin, E.M., Mortikov, E.V., Kostrykin, S.V., et al.: Simulation of the present-day climate with the climate model INMCM5. Climate Dynamics 49(11), 3715–3734 (2017). https://doi.org/10.1007/s00382-017-3539-7

Volodin, E.M., Tarasevich, M.A.: Simulation of Climate and Weather Extreme Indices with the INM-CM5 Climate Model. Russian Meteorology and Hydrology 43(11), 756–762 (2018). https://doi.org/10.3103/S1068373918110067

Vorobyeva, V., Volodin, E.: Analysis of the predictability of stratospheric variability and climate indices based on seasonal retrospective forecasts of the INM RAS climate model. Russian Journal of Numerical Analysis and Mathematical Modelling 36(2), 117–126 (2021). https://doi.org/10.1515/rnam-2021-0010

Vorobyeva, V., Volodin, E.: Evaluation of the INM RAS climate model skill in climate indices and stratospheric anomalies on seasonal timescale. Tellus A: Dynamic Meteorology and Oceanography 73(1), 1–12 (2021). https://doi.org/10.1080/16000870.2021.1892435

Vorobyeva, V.V., Volodin, E.M.: Experimental Studies of Seasonal Weather Predictability Based on the INM RAS Climate Model. Mathematical Models and Computer Simulations 13(4), 571–578 (2021). https://doi.org/10.1134/S2070048221040232

Wang, L., Ting, M., Kushner, P.J.: A robust empirical seasonal prediction of winter NAO and surface climate. Scientific Reports 7(1), 279 (2016). https://doi.org/10.1038/s41598-017-00353-y

Wu, Q., Hu, H., Zhang, L.: Observed Influences of Autumn-Early Winter Eurasian Snow Cover Anomalies on the Hemispheric PNA-like Variability in Winter. Journal of Climate 24(7), 2017–2023 (2011). https://doi.org/10.1175/2011JCLI4236.1

Yakovlev, N.G.: Reproduction of the large-scale state of water and sea ice in the Arctic Ocean in 1948–2002: Part I. Numerical model. Izvestiya, Atmospheric and Oceanic Physics 45(3), 357–371 (2009). https://doi.org/10.1134/S0001433809030098

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Published

2022-02-03

How to Cite

Tarasevich, M. A., & Volodin, E. M. (2022). The Influence of Autumn Eurasian Snow Cover on the Atmospheric Dynamics Anomalies during the Next Winter in INMCM5 Model Data. Supercomputing Frontiers and Innovations, 8(4), 24–39. https://doi.org/10.14529/jsfi210403