Research article
Future projections of cyclone activity in the Arctic for the 21st century from regional climate models (Arctic-CORDEX)

https://doi.org/10.1016/j.gloplacha.2019.103005Get rights and content

Highlights

  • Changes in the characteristics of cyclone activity in the Arctic are analyzed based on simulations with RCMs (Arctic-CORDEX)

  • Most of RCMs show an increase of cyclone frequency in winter and a decrease in summer to the end of the 21st century

  • Different lateral BCs from the GCMs have larger effects on the simulated RCM’s than setup and/or physics

Abstract

Changes in the characteristics of cyclone activity (frequency, depth and size) in the Arctic are analyzed based on simulations with state-of-the-art regional climate models (RCMs) from the Arctic-CORDEX initiative and global climate models (GCMs) from CMIP5 under the Representative Concentration Pathway (RCP) 8.5 scenario. Most of RCMs show an increase of cyclone frequency in winter (DJF) and a decrease in summer (JJA) to the end of the 21st century. However, in one half of the RCMs, cyclones become weaker and substantially smaller in winter and deeper and larger in summer. RCMs as well as GCMs show an increase of cyclone frequency over the Baffin Bay, Barents Sea, north of Greenland, Canadian Archipelago, and a decrease over the Nordic Seas, Kara and Beaufort Seas and over the sub-arctic continental regions in winter. In summer, the models simulate an increase of cyclone frequency over the Central Arctic and Greenland Sea and a decrease over the Norwegian and Kara Seas by the end of the 21st century. The decrease is also found over the high-latitude continental areas, in particular, over east Siberia and Alaska. The sensitivity of the RCMs' projections to the boundary conditions and model physics is estimated. In general, different lateral boundary conditions from the GCMs have larger effects on the simulated RCM projections than the differences in RCMs' setup and/or physics.

Introduction

The Arctic warming in recent decades has been proceeding at least two times faster than the global temperature increase and is accompanied by an unprecedented reduction of sea ice extent, and these changes affect large scale atmospheric circulation and weather patterns in high- and mid-latitudes (e.g. Vihma, 2014; Semenov and Latif, 2015). The Arctic Ocean has become more accessible for marine shipping along the Northern Sea Route (Khon et al., 2017), extraction of oil and natural gas resources and other activities such as tourism or fishing. However, all these activities are affected by weather conditions, in particular, cyclone activity.

Cyclones play an important role in the coupled dynamics of the Arctic climate system, in particular, they are contributing to the meridional transport of atmospheric heat and moisture from mid-latitudes, thereby changing wind, temperature, precipitation and sea ice distribution in the Arctic (e.g. Alexeev et al., 2017). The influence of a changing climate on cyclone activity characteristics is complicated as the response is dependent on many dynamical and thermodynamical processes (e.g. Mokhov et al., 1992; Inoue et al., 2012; Akperov and Mokhov, 2013). Therefore, understanding changes in storminess in the Arctic region is important to properly manage the risks associated with these events in a changing climate system.

One of the powerful tools to assess the impacts of climate change on cyclone activity are global climate models (GCMs), which are widely used to analyze midlatitude cyclones (e.g. Ulbrich et al., 2013). However, the results for the response of the Arctic cyclones to climate change from GCM studies show some disagreement. One of the reasons may be related to inter-model variability of cyclone activity characteristics across the GCMs in midlatitudes (Zappa et al., 2013).

Using an ensemble of CMIP3 models under SRES-A1B scenario, Lang and Waugh (2011) found a significant decrease in the number of cyclones in the Norwegian Sea and an increase over the Barents Sea, Baffin Bay, Davis Strait, and near the southern tip of Greenland in winter, and no significant changes in summer by 2100. They also noted a large decrease in the number of intense winter cyclones over the Arctic Ocean. Changes of cyclone activity in the 21st century from simulations with the ECHAM5/MPI–OM GCM under SRES-A1B scenario were analyzed by Ulbrich et al. (2013) using different methods of cyclone identification. They also found a decrease of cyclone numbers in the Barents and Greenland Seas for the winter in the second half of the 21st century. Orsolini and Sorteberg (2009) found an increase in the number of cyclones entering the Arctic in the summer as well as for the mean intensity by the end of the 21st century using BCM v2.0 GCM under SRES-A1B and SRES-A2 scenarios. They also noted that the cyclone increase is associated with an increase in zonal wind and meridional temperature gradient at high latitudes in summer, due to the slower Arctic Ocean warming compared to the surrounding land. Using an ensemble of CMIP3 as well as CMIP5 simulations, Nishii et al. (2015) found an increase in Arctic summer storminess across these ensembles. They found, in agreement with Orsolini and Sorteberg (2009), that the magnitude of the response of cyclone activity was strongly correlated with the magnitude of change in the zonal mean wind and the surface air temperature gradient along the Eurasian coastline.

Using CMIP5 models under various Radiative Concentration Pathway (RCP) scenarios, Colle et al. (2013) found a reduction of cyclone number over the western Atlantic and an increase near Nova Scotia in southeast Canada in cold season. Zappa et al. (2013) noted that the number and the wind intensity of cyclones decreases in the Norwegian Sea in the cold season and increases near the southern tip of Greenland in the warm season. Harvey et al. (2015) also found reductions in Arctic winter storminess at the end of the 21st century. Day and Hodges (2018) investigated the response of Arctic cyclones to climate change in a large initial value ensemble of future climate projections with the CESM1-CAM5 (CESM-LE). They found a significant reduction in cyclone frequency in winter and insignificant changes in summer. It has been also noted a reduction of cyclone intensity across the Arctic basin in winter, but with contrasting increase in summer intensity within the Arctic Ocean cyclone maximum. The study also showed a significant reduction in winter cyclogenesis events within the Greenland–Iceland–Norwegian Sea region. They emphasized that the seasonal response of cyclone intensity and cyclogenesis appears to be closely linked to changes in surface temperature gradients in the high latitudes, with Arctic poleward temperature gradients increasing in summer, but decreasing in winter. Crawford and Serreze (2017) investigated the relationship between the Arctic frontal zone and summer Arctic cyclone activity for the RCP8.5 scenario using the same CESM-LE ensemble. They showed a decrease of cyclones in the Barents, Kara, and Laptev Seas and an increase along the eastern side of Greenland and Chukchi and Beaufort Seas in summer. Detailed information about the changes of cyclone frequency as a function of region, seasons, climate models, scenarios is presented in Supplementary Table 1.

In addition to using different models and scenarios, each of these studies uses different periods of analysis, and storm intensity/activity measures, all of which may influence the results. Also, the relative coarse resolution of the GCMs and deficits in the representation of physical processes in the Arctic cause uncertainties to the projections of future changes of cyclone activity. The interest in better representing the climate variability and change at regional scales has driven the development of regional climate models (RCMs). RCMs run on limited area domains thereby allowing increased spatial resolution, and thus enabling a better representation of mesoscale atmospheric processes, which are important for cyclone activity. The international CORDEX (Coordinated Regional Climate Downscaling Experiment) (Giorgi et al., 2009) has provided multi-model RCM simulations at high spatial resolution over different regions in the world. As a part of the CORDEX framework, the Arctic-CORDEX initiative (http://www.climate-cryosphere.org/activities/targeted/polar-cordex/arctic) provides RCM projections for the Arctic at ca. 50 km (ARC-44) resolution.

Several studies demonstrated the usefulness of RCMs for studying extratropical cyclones (Côté et al., 2015) and Arctic cyclones (Shkolnik and Efimov, 2013; Akperov et al., 2015; Akperov et al., 2018). Recently, Akperov et al. (2018) showed that the state-of-the-art RCMs from Arctic-CORDEX are able to simulate realistically the present-day cyclone activity characteristics in the Arctic compared to reanalysis data.

The general aim of this paper is to analyze possible future changes of cyclone characteristics (frequency, depth, and size) over the Arctic region using a multi-model ensemble of RCM simulations (Arctic-CORDEX) for the 21st century. We further address how different GCM as lateral boundary conditions affect the RCMs results.

Section snippets

Model and reanalyses data

We analyze cyclone characteristics obtained from 6-hourly mean sea level pressure (MSLP) data from an ensemble of six atmospheric RCMs (CRCM5, HIRHAM5-AWI, HIRHAM5-DMI, MAR3.6, RCA4, RCA4-GUESS), four GCMs (NorESM1, CanESM2, MPI-ESM-LR, EC-EARTH) and four reanalysis products (ERA-Interim, NCEP-CFSR, NASA-MERRA2, JMA-JRA55) (Table 1) for the Arctic region (north of 65°N) for two seasons – winter (DJF) and summer (JJA).

The six Arctic-CORDEX RCMs (Table 1) are based on the standard Arctic CORDEX

Cyclone characteristics from RCMs in present-day climate

Here we analyze the historical simulations (hist), performed using 6 RCMs driven by 4 different GCM at the boundaries (see Table 1). Cyclone activity obtained from these RCMs is compared to the multi-reanalyses mean for the overlapping period of 1980–2005. The aim is to demonstrate the realistic simulation of cyclone characteristics by the Arctic-CORDEX RCMs for the historical period.

Changes of cyclone characteristics by the end of the 21st century

The analysis of changes in cyclone characteristics in the Arctic in the last three decades of the 21st century (2070–2099) simulated by RCMs under the RCP8.5 scenario relative to the historical (1970–1999) period is presented here (Fig. 3). We also compare RCM results with those from the driving GCMs.

We define a climate change signal to be robust if the following two conditions are fulfilled: >75% of model simulations agree on the sign of the change and the signal to noise ratio (SNR), i.e. the

Same RCM with different BCs

Here we analyze runs from a certain RCM driven by various GCM forcing. By this, we aim to discuss the possible impact of the GCM forcing on the RCM projection. We have three RCMs (RCA4, HIRHAM5-AWI and CRCM5) which provide simulations with different boundary conditions (BCs) from different GCMs (Table 1). While HIRHAM5-AWI and CRCM5 have each been run with forcing from two different GCMs only, RCA4 has been run with four different GCMs (MPI-ESM-LR, EC-EARTH, CanESM2, NorESM1). Therefore, we

Summary and conclusion

We analyzed possible future changes of cyclone characteristics (frequency, depth, and size) over the Arctic using the largest existing ensemble of RCM simulations (Arctic-CORDEX) for the 21st century based on the RCP8.5 scenario. Changes of cyclone characteristics from RCMs have been compared with four GCMs, which have been used as boundary condition for the RCM projections.

The similarity of changes of cyclone characteristics in RCMs and corresponding GCMs depends strongly on the region and

Acknowledgements

M.A., I.I.M., V.A.S., A.R., K.D. acknowledge the support by the project “Quantifying Rapid Climate Change in the Arctic: regional feedbacks and large-scale impacts (QUARCCS)” funded by the German and Russian Ministries of Research and Education. V.A.S. was supported by the Russian Science Foundation (RSF № 19-17-00242). M.A, I.I.M, and M.A.D. were supported by the projects funded by RFBR (№ 17-05-01097, 18-05-60216, 18-35-00091). A.R. and K.D. acknowledge the funding by the Deutsche

References (65)

  • M.G. Akperov et al.

    A comparative analysis of the method of extratropical cyclone identification

    Izv. - Atmos. Ocean Phys.

    (2010)
  • M.G. Akperov et al.

    Estimates of the sensitivity of cyclonic activity in the troposphere of extratropical latitudes to changes in the temperature regime

    Izv. Atmos. Ocean. Phys.

    (2013)
  • M.G. Akperov et al.

    Probability distributions for cyclones and anticyclones from the NCEP/NCAR reanalysis data and the INM RAS climate model

    Izv. Atmos. Ocean. Phys.

    (2007)
  • M. Akperov et al.

    Cyclones and their possible changes in the Arctic by the end of the twenty first century from regional climate model simulations

    Theor. Appl. Climatol.

    (2015)
  • M. Akperov

    Cyclone activity in the Arctic from an ensemble of regional climate models (Arctic CORDEX)

    J. Geophys. Res. Atmos.

    (2018)
  • V.A. Alexeev et al.

    Warming in the Nordic Seas, North Atlantic storms and thinning Arctic sea ice

    Environ. Res. Lett.

    (2017)
  • V. Arora et al.

    Carbon emission limits required to satisfy future representative concentration pathways of green- house gases

    Geophys. Res. Lett.

    (2011)
  • M.Y. Bardin et al.

    North Atlantic oscillation and synoptic variability in the European- Atlantic region in winter

    Izv. Atmos. Ocean. Phys.

    (2005)
  • M. Beniston

    Future extreme events in European climate: an exploration of regional climate model projections

    Clim. Chang.

    (2007)
  • M. Bentsen

    The Norwegian Earth System Model, NorESM1-M – part 1: description and basic evaluation of the physical climate

    Geosci. Model Dev.

    (2013)
  • P. Berg et al.

    Impacts of using spectral nudging on regional climate model RCA4 simulations of the Arctic

    Geosci. Model Dev.

    (2013)
  • J.H. Christensen et al.

    A summary of the PRUDENCE model projections of changes in European climate by the end of this century

    Clim. Chang.

    (2007)
  • O.B. Christensen et al.

    DMI Technical report, 06–17

  • B.A. Colle et al.

    Historical evaluation and future prediction of Eastern North American and Western Atlantic Extratropical Cyclones in the CMIP5 models during the cool season

    J.Climate

    (2013)
  • A. Colmet-Daage et al.

    Evaluation of uncertainties in mean and extreme precipitation under climate change for northwestern Mediterranean watersheds from high-resolution Med and Euro-CORDEX ensembles

    Hydrol. Earth Syst. Sci.

    (2018)
  • H. Côté et al.

    Challenges of tracking extratropical cyclones in regional climate models

    Clim. Dyn.

    (2015)
  • A.D. Crawford et al.

    Projected changes in the arctic frontal zone and summer arctic cyclone activity in the CESM large ensemble

    J. Clim.

    (2017)
  • J.J. Day et al.

    Growing land-sea temperature contrast and the intensification of Arctic cyclones

    Geophys. Res. Lett.

    (2018)
  • D.P. Dee

    The ERA-Interim reanalysis: configuration and performance of the data assimilation system

    Q. J. R. Meteorol. Soc.

    (2011)
  • M. Déqué et al.

    The spread amongst ENSEMBLES regional scenarios: regional climate models, driving general circulation models and interannual variability

    Clim. Dyn.

    (2012)
  • A. Ebita

    The Japanese 55-year reanalysis “JRA-55”: an interim report

    SOLA

    (2011)
  • X. Fettweis et al.

    Reconstructions of the 1900–2015 Greenland ice sheet surface mass balance using the regional climate MAR model

    Cryosph.

    (2017)
  • C. Frei et al.

    Future change of precipitation extremes in Europe: Intercomparison of scenarios from regional climate models

    J. Geophys. Res. Atmos.

    (2006)
  • R. Gelaro

    The modern-era retrospective analysis for research and applications, Version 2 (MERRA-2)

    J. Clim.

    (2017)
  • M.A. Giorgetta

    Climate and carbon cycle changes from 1850 to 2100 in MPI-ESM simulations for the coupled Model Intercomparison Project phase 5

    J. Adv. Model. Earth Syst.

    (2013)
  • F. Giorgi et al.

    Addressing climate information needs at the regional level: the CORDEX framework

    WMO Bull

    (2009)
  • G.S. Golitsyn et al.

    Distribution functions of probabilities of cyclones and anticyclones from 1952 to 2000: an instrument for the determination of global climate variations

    Dokl. Earth Sci.

    (2007)
  • B.J. Harvey et al.

    Deconstructing the climate change response of the Northern Hemisphere wintertime storm tracks

    Clim. Dyn.

    (2015)
  • W. Hazeleger

    EC-Earth: a seamless Earth-system prediction approach in action

    Clim. Dyn.

    (2012)
  • J. Inoue et al.

    The role of barents sea ice in the wintertime cyclone track and emergence of a warm-arctic cold-Siberian anomaly

    J. Clim.

    (2012)
  • V.C. Khon et al.

    Transit navigation through Northern Sea Route from satellite data and CMIP5 simulations

    Environ. Res. Lett.

    (2017)
  • D. Klaus et al.

    New insight of Arctic cloud parameterization from regional climate model simulations, satellite-based, and drifting station data

    Geophys. Res. Lett.

    (2016)
  • Cited by (34)

    • North Atlantic winter cyclones starve seabirds

      2021, Current Biology
      Citation Excerpt :

      Considering future North Atlantic cyclone regimes, there are still uncertainties, but model outputs predict some common features: there will be fewer cyclones in the future, but the frequency of the strongest ones is predicted to increase with global warming.39 Moreover, cyclone tracks will likely shift northward under climate change,40 increasing the storminess of Western Europe41 and of the high Arctic.42,43 Because storm activity is positively correlated to the magnitude of seabird wrecks44,45 and the North Atlantic Ocean seabird community is also predicted to shift northward, following its prey base,46 we infer that this community will become even more susceptible to mass mortality caused by winter wrecks.

    • Russian Climate Research in 2019–2022

      2023, Izvestiya - Atmospheric and Ocean Physics
    • Research in Dynamic Meteorology in Russia in 2019–2022

      2023, Izvestiya - Atmospheric and Ocean Physics
    • Russian Research in the Field of Polar Meteorology in 2019–2022

      2023, Izvestiya - Atmospheric and Ocean Physics
    View all citing articles on Scopus
    View full text