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Exploring the Sensitivity of Arctic Winter Climate to Aerosol Loading as Simulated in CMIP6 Cover

Exploring the Sensitivity of Arctic Winter Climate to Aerosol Loading as Simulated in CMIP6

Open Access
|Nov 2025

Figures & Tables

Table 1

Models used in the time-slice simulations (30 years) for this study.

MODELSMODEL REFERENCEDATA REFERENCECOUNT OF RUNS (piClim-control, piClim-aer)
CNRM-CM6-1Voldoire et al. (2019)Voldoire (2019a;b)1, 1
CNRM-ESM2-1Séférian et al. (2019)Seferian (2019a;b)1, 1
CanESM5Swart et al. (2019)Cole et al. (2019a;b)1, 1
EC-Earth3Döscher et al. (2022)EC-Earth Consortium (2020a;b)1, 1
IPSL-CM6A-LR-INCABoucher et al. (2020c)Boucher et al. (2020a;b)1, 1
MIROC6Tatebe et al. (2019)Sekiguchi and Shiogama (2019a;b)1, 1
MPI-ESM-1-2-HAMMauritsen et al. (2019)Neubauer et al. (2019a;b)1, 1
MRI-ESM2-0Yukimoto et al. (2019)Yukimoto et al. (2019a;b)1, 1
UKESM1-0-LLSellar et al. (2019)O’Connor (2019a;b)1, 1
Table 2

Models used in the transient simulations (1850–2100) for this study.

MODELSMODEL REFERENCEDATA REFERENCECOUNT OF RUNS (piClim-control, piClim-histaer)
CanESM5Swart et al. (2019)Cole et al. (2019b;c)1, 3
HadGEM3-GC31-LLWilliams et al. (2018)Andrews (2019; 2020)1, 3
NorESM2-LMSeland et al. (2020)Oliviè et al. (2019a;b)1, 3
MIROC6Tatebe et al. (2019)Sekiguchi and Shiogama (2019b;c)1, 3
Figure 1

The present-day (2014) ERFaer (W m–2) in piClim-aer during the winter season (DJF) compared to the pre-industrial condition in piClim-control (1850) for the NH between 20°N and 90°N. The green dots refer to the statistical significance at a 75% confidence level, as determined by a t-test. The piClim-aer simulation is configured with present-day aerosols and fixed-SST, and piClim-control maintains forcing components at pre-industrial levels (1850). The figure shows the multi-model average of the nine models listed in Table 1.

Figure 2

Leading empirical orthogonal functions (EOF) of the winter (DJF) mean SLP (hPa) anomalies for piClim-aer (2014) compared to the pre-industrial condition in piClim-control (1850) for the NH between 20°N and 90°N. The piClim-aer simulation is configured with present-day aerosols and fixed-SST, and piClim-control maintains forcing components at pre-industrial levels (1850).

Figure 3

Comparison of probability density function (PDF) of AOI for the piClim-control and piClim-aer during the winter (DJF). Both simulations cover a 30-year period. In piClim-aer, present-day (2014) aerosols are applied with fixed-SST, whereas piClim-control maintains all forcing components at pre-industrial levels (1850). By each simulation, the multi-model mean SLP is first calculated, and the AOI and its corresponding PDF are derived from this multi-model mean SLP.

Figure 4

Time series of (a, b) aerosol optical depth at 550 nm and (c, d) ERFaer (W m–2) during winter (DJF) from the piClim-histaer transient simulation (1851–2099), shown for the NH between 20°N and 90°N (a, c), and the Arctic region between 66°N and 90°N (b, d). The dashed black lines are for single winter means, the red solid lines refer to the 30-year moving average of winter means, and the blue dashed line indicates the zero value. The both figures show the multi-model average of the four models listed in Table 2.

Figure 5

Comparison of PDF of AOI for the piClim-control and piClim-histaer during the winter (DJF). PDF for (a) low aerosol loading scenario (1851–1900) and (b) high aerosol burden (1965–2014), respectively. Δmean refers to the anomaly of the average AOI in piClim-histaer’s period from the average piClim-control. Δmean(+AOI) and Δmean(AOI) refer to the anomalies of the average positive and negative index values respectively.

Figure 6

Comparison of SAT (K) anomaly relative to piClim-control during the winter (DJF) for (a) low aerosol loading scenario (1851–1900) and (b) high aerosol burden (1965–2014), respectively. The black dots indicate the statistical significance at a 75% confidence level.

Figure 7

Comparison of 10th and 90th percentiles of SAT (K) anomaly relative to piClim-control during the winter (DJF) for positive AO phase. Panels (a) and (b) show the 10th percentile of SAT anomaly for low aerosol loading scenario (1851–1900) and high aerosol scenario (1965–2014), respectively. Panels (c) and (d) show the 90th percentile of SAT anomalies for the same two scenarios. The black dots indicate the statistical significance at a 75% confidence level.

Figure 8

Anomalies of the latitudinal position of the jet stream in piClim-histaer during the positive AO with respect to piClim-control. The periods 1851–1900 and 1965–2014 represent low and high aerosol loading scenarios, respectively.

Figure 9

Comparison of 10th and 90th percentiles of SAT (K) anomaly relative to piClim-control during the winter (DJF) for negative AO phase. Panels (a) and (b) show the 10th percentile of SAT anomaly for low aerosol loading scenario (1851–1900) and high aerosol scenario (1965–2014), respectively. Panels (c) and (d) show the 90th percentile of SAT anomalies for the same two scenarios. The black dots indicate the statistical significance at a 75% confidence level.

Figure 10

Anomalies of the latitudinal position of the jet stream in piClim-histaer during the negative AO with respect to piClim-control. The periods 1851–1900 and 1965–2014 represent low and high aerosol loading scenarios, respectively.

Figure 11

Comparison of the LRF (W m–2 K–1) in the NH (between 20°N and 90°N) during (a) low aerosol loading scenario (1851–1900) and (b) high aerosol scenario (1965–2014) for the winter (DJF).

Figure 12

The latitudinal cross-section of the winter (DJF) temperature anomalies (K) relative to piClim-control in the NH (between 20°N and 90°N) during (a) low aerosol loading scenario (1851–1900) and (b) high aerosol scenario (1965–2014).

Figure A.1

Aerosol optical depth (AOD) anomalies in piClim-aer from piClim-control over the NH between 20°N and 90°N during the winter (DJF). The black dots indicate where the AOD difference between piClim-control and piClim-aer is statistically significant at a 75% confidence level.

Figure A.2

Time series of anomalies of (a) outgoing SW radiation at TOA and (b) outgoing LW radiation at TOA (in W m–2) in piClim-histaer from piClim-control for winter (DJF). The dashed black lines are for single winter means, and the red solid lines refer to the 30-year moving average of winter means, and the blue dashed line indicates the zero value. The values are for the NH between 20°N and 90°N from 1851 to 2099.

Figure A.3

Time series of anomalies of (a) outgoing SW radiation at TOA and (b) outgoing LW radiation at TOA (in W m–2) in piClim-histaer from piClim-control for winter (DJF). The dashed black lines are for single winter means, the red solid lines refer to the 30-year moving average of winter means, and the blue dashed line indicates the zero value. The values are for the Arctic between 66°N and 90°N from 1851 to 2099.

Table A.1

ERFaer and its solar and terrestrial components over the NH domain between 20°N and 90°N as derived from the time-slice simulations (piClim-aer) relative to the reference simulations (piClim-control). Units are in W m–2.

MODELSERFaerCHANGE OF UPWARD SW RADIATION AT TOACHANGE OF UPWARD LW RADIATION AT TOA
CNRM-CM6-1–1.1681.255–0.09
CNRM-ESM2-1–0.5020.89–0.391
CanESM5–0.4320.441–0.008
EC-Earth3–0.3980.55–0.15
IPSL-CM6A-LR-INCA–0.5620.4980.058
MIROC6–0.7151.104–0.394
MPI-ESM-1-2-HAM–1.3581.496–0.135
MRI-ESM2-0–1.0551.915–0.857
UKESM1-0-LL–0.7530.929–0.176
Multi-Model Average–0.7851.024–0.24
Table A.2

ERFaer and its solar and terrestrial components over the Arctic between 66°N and 90°N as derived from the time-slice simulations (piClim-aer) relative to the reference simulations (piClim-control). Units are in W m–2.

MODELSERFaerCHANGE OF UPWARD SW RADIATION AT TOACHANGE OF UPWARD LW RADIATION AT TOA
CNRM-CM6-10.070.015–0.084
CNRM-ESM2-10.593–0.005–0.588
CanESM50.046–0.0570.011
EC-Earth30.6950.004–0.697
IPSL-CM6A-LR-INCA1.1480.027–1.177
MIROC60.4220.012–0.435
MPI-ESM-1-2-HAM–0.078–0.0260.106
MRI-ESM2-0–0.8060.0020.806
UKESM1-0-LL–0.863–0.0070.87
Multi-Model Average0.139–0.004–0.134
Table A.3

ERFaer and its solar and terrestrial components over the NH domain outside the Arctic (i.e., between 20°N and 66°N) as derived from the time-slice simulations (piClim-aer) relative to the reference simulations (piClim-control). Units are in W m–2.

MODELSERFaerCHANGE OF UPWARD SW RADIATION AT TOACHANGE OF UPWARD LW RADIATION AT TOA
CNRM-CM6-1–1.3561.444–0.091
CNRM-ESM2-1–0.6691.026–0.361
CanESM5–0.4970.508–0.011
EC-Earth3–0.5660.634–0.066
IPSL-CM6A-LR-INCA–0.8050.5650.233
MIROC6–0.8871.27–0.388
MPI-ESM-1-2-HAM–1.5681.746–0.175
MRI-ESM2-0–1.0932.201–1.106
UKESM1-0-LL–0.7371.067–0.331
Multi-Model Average–0.9111.164–0.255
Language: English
Page range: 20 - 40
Submitted on: Jun 30, 2025
Accepted on: Nov 11, 2025
Published on: Nov 24, 2025
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services

© 2025 Khaled Al Hajjar, Sudhaker Dipu, Johannes Quaas, Olivia Linke, Karsten Haustein, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.