Poles apart: why has Antarctic sea ice increased, and why can't coupled climate models reproduce observations?
Lead Research Organisation:
British Antarctic Survey
Department Name: Science Programmes
Abstract
Due to its pale colour, sea ice reflects much of the incoming solar radiation back into space, keeping local temperatures relatively cold. However, if warming occurs and sea ice melts, it is replaced by darker ocean. This absorbs more solar energy, causing warming, and so the cycle, the so-called 'ice-albedo feedback' loop, continues. Sea ice also modifies the regional surface energy balance by capping the upper layer of the ocean, reducing its loss of heat to the atmosphere. In addition, sea ice is important because it plays a role in the exchange of carbon dioxide between the atmosphere and ocean, thereby affecting how much of this greenhouse gas is in the atmosphere and contributing to global warming. Moreover, sea ice formation is an important element in driving the global thermohaline circulation of heat and salt through the world's oceans. One component of this circulation is the North Atlantic Drift current that carries warm tropical water across the Atlantic and keeps the UK's winter temperatures much warmer than they would be otherwise.
The Intergovernmental Panel on Climate Change (IPCC) assessment reports are an important tool in drivng government policy around the world. However, the present generation of climate models, which are used to predict the future climate scenarios described in these reports, are unable to consistently reproduce the recent increase in Antarctic sea ice. As a result considerable uncertainty must be attached to their predictions of future climate.
This proposal aims to both advance our understanding of the Earth's climate and facilitate improved predictions of its future change to aid policy makers. This will be achieved through the following objectives:
1. To explain the key climate processes involved in the recent Antarctic sea ice increase. We know from observations that changes in the near-surface wind around Antarctica are predominantly responsible for the observed increase in sea ice but we don't know exactly how the wind and the ice interact. Using a state-of-the-art computer model of sea ice and the ocean forced by the latest atmospheric data we will establish the key processes through which changes in the wind are causing the ice to increase.
2. To establish the ultimate driver of the sea ice increase. Policymakers need to know whether we can attribute the observed changes in Antarctic sea ice to human activity. This might happen through changes in the near-surface winds around Antarctica caused by the 'ozone hole' or greenhouse gas increases for example. Alternatively, it may be simply due to natural variations in the Antarctic climate system. If the former is true, we must determine which human activities are responsible. If the latter is correct, we must try to understand connections between the key processes and wider aspects of the climate system.
3. To understand why current climate models fail to simulate the growth in Antarctic sea ice. We will examine the current UK climate model in detail to diagnose which components are to blame and, with our Met Office partner, we will design a development programme to ensure that our findings are transferred into future model improvements in time for the next IPCC report. To help other climate model developers around the world, we will also analyse whether the failings are common to the other models used in the IPCC reports.
The Intergovernmental Panel on Climate Change (IPCC) assessment reports are an important tool in drivng government policy around the world. However, the present generation of climate models, which are used to predict the future climate scenarios described in these reports, are unable to consistently reproduce the recent increase in Antarctic sea ice. As a result considerable uncertainty must be attached to their predictions of future climate.
This proposal aims to both advance our understanding of the Earth's climate and facilitate improved predictions of its future change to aid policy makers. This will be achieved through the following objectives:
1. To explain the key climate processes involved in the recent Antarctic sea ice increase. We know from observations that changes in the near-surface wind around Antarctica are predominantly responsible for the observed increase in sea ice but we don't know exactly how the wind and the ice interact. Using a state-of-the-art computer model of sea ice and the ocean forced by the latest atmospheric data we will establish the key processes through which changes in the wind are causing the ice to increase.
2. To establish the ultimate driver of the sea ice increase. Policymakers need to know whether we can attribute the observed changes in Antarctic sea ice to human activity. This might happen through changes in the near-surface winds around Antarctica caused by the 'ozone hole' or greenhouse gas increases for example. Alternatively, it may be simply due to natural variations in the Antarctic climate system. If the former is true, we must determine which human activities are responsible. If the latter is correct, we must try to understand connections between the key processes and wider aspects of the climate system.
3. To understand why current climate models fail to simulate the growth in Antarctic sea ice. We will examine the current UK climate model in detail to diagnose which components are to blame and, with our Met Office partner, we will design a development programme to ensure that our findings are transferred into future model improvements in time for the next IPCC report. To help other climate model developers around the world, we will also analyse whether the failings are common to the other models used in the IPCC reports.
Planned Impact
Due to the role of Antarctic sea ice in key components of the Earth's climate system, such as atmosphere-ocean CO2 exchange and the thermohaline circulation, at its highest level the science needs to be communicated to policymakers, the public and to anyone at risk from the effects of climate change. Clarity is required urgently on the issue of the Antarctic sea ice increase because failure to explain the opposing trends in the Arctic and Antarctic has the potential to increase public uncertainty about the validity of climate change: indeed, climate sceptics have already attempted to use the increase in Antarctic sea ice in their arguments. Furthermore, the latest climate models used as the basis for the IPCC reports fail to simulate the increase in Antarctic sea ice, bringing into question the value of their projections of future climate change in the polar regions.
As part of this proposal we will determine (i) whether we can attribute the recent observed increase in Antarctic sea ice to changes to human activity or natural climate variability, and (ii) why the current generation of coupled climate models are unable to reproduce the positive trend in sea ice. These outputs will lead to improved prediction of Antarctic sea ice over the 21st Century, help to inform both policymakers and public about future climate change, and enable the government to rebuff the claims of climate sceptics when being criticised for their current mitigation policies.
In the UK our findings will contribute directly to future climate model development to ensure that (i) the Met Office can continue in its remit to provide up-to-date, robust and traceable scientific evidence to government on climate variability and climate change, and (ii) UK climate modellers maintain their high-standing at the leading edge of climate research, thus allowing the UK to sustain its influential position in future climate negotiations. The two PDRAs will develop professional skills that have applicability to other employment sectors, such as adeptness in communication, gained from courses on communicating science to the public.
As part of this proposal we will determine (i) whether we can attribute the recent observed increase in Antarctic sea ice to changes to human activity or natural climate variability, and (ii) why the current generation of coupled climate models are unable to reproduce the positive trend in sea ice. These outputs will lead to improved prediction of Antarctic sea ice over the 21st Century, help to inform both policymakers and public about future climate change, and enable the government to rebuff the claims of climate sceptics when being criticised for their current mitigation policies.
In the UK our findings will contribute directly to future climate model development to ensure that (i) the Met Office can continue in its remit to provide up-to-date, robust and traceable scientific evidence to government on climate variability and climate change, and (ii) UK climate modellers maintain their high-standing at the leading edge of climate research, thus allowing the UK to sustain its influential position in future climate negotiations. The two PDRAs will develop professional skills that have applicability to other employment sectors, such as adeptness in communication, gained from courses on communicating science to the public.
Publications
Döös K
(2017)
The Coupled Ocean-Atmosphere Hydrothermohaline Circulation
in Journal of Climate
Döös K
(2017)
Evaluation of oceanic and atmospheric trajectory schemes in the TRACMASS trajectory model v6.0
in Geoscientific Model Development
Gumber S
(2019)
On the microphysical processing of aged combustion aerosols impacting warm rain microphysics over Asian megacities
in Theoretical and Applied Climatology
Kjellsson J
(2015)
Model sensitivity of the Weddell and Ross seas, Antarctica, to vertical mixing and freshwater forcing
in Ocean Modelling
Kjellsson J.
(2015)
Sensitivity of the recent increase in Antarctic sea ice in ocean models.
Marsh R
(2015)
NEMO-ICB (v1.0): interactive icebergs in the NEMO ocean model globally configured at eddy-permitting resolution
in Geoscientific Model Development
Pope J
(2020)
Non-additive response of the high-latitude Southern Hemisphere climate to aerosol forcing in a climate model with interactive chemistry
in Atmospheric Science Letters
Pope J
(2017)
The impacts of El Niño on the observed sea ice budget of West Antarctica
in Geophysical Research Letters
Description | Based on a novel sea ice budget analysis, we demonstrated that circulation changes generated by the El Niño Southern Oscillation (ENSO), a primary mode of natural climate variability at southern high latitudes, are associated with an east-west dipole of Antarctic sea ice concentration in the South Pacific ocean. This couplet of high-low anomalies propagate eastwards, partly driven by mean sea ice drift. Thus, we showed that natural, tropical atmospheric variability can have a significant impact on Antarctic sea ice variability and is likely to have contributed to the previous increase in regional sea ice extent. A further key finding is that linkages between sea ice anomalies and atmospheric variability can be highly non-local in space and time and, therefore, future attribution studies must consider such temporally and spatially remote connections. Based on a detailed analysis of a 'state-of-the-art' ocean model, we showed that vertical mixing, freshwater forcing and initial sea ice conditions need to be constrained simultaneously to reproduce accurately the Southern Ocean hydrology and Antarctic sea ice in a model. Given that such processes are often poorly replicated in current coupled models and that such models have significant biases in sea surface temperature, salinity, mixed layer depth and sea ice extent, together with excessive open ocean deep convection, it is unsurprising that these models generally fail to reproduce the observed Antarctic sea ice increase. Based on a series of chemistry-aerosol-climate model runs, driven by changes in greenhouse gases, ozone, aerosols and different combinations of these, we analysed the relative impact of these various forcings on high-latitude Southern Hemisphere circulation. This suite of experiments was novel in that the model code was modified especially in order to partition the radiation and chemistry schemes as required, so the ozone and aerosols could be allowed to interact or kept separate. A key finding was a non-linearity in the relationship between greenhouse gas and aerosol changes: i.e. that the sum of the changes associated with the two separate forcings did not equal the effect when they interacted. The greatest impact of this non-linearity was observed in the South Pacific, where it had a major impact on the atmospheric circulation. Its exact effect on Antarctic sea ice will be examined in work still to be undertaken. This scenario is relevant to the mid-late 20th Century, when there will be likely to have been further greenhouse gas increases, ozone recovery and with anthropogenic aerosols still relatively high. Note that although the grant has finished there are still two further papers planned. |
Exploitation Route | Since the writing of this proposal the increase in Antarctic sea ice has stopped with consecutive years of much lower ice extent than previously seen in the satellite record. Thus, it seems highly likely that the previous increase was predominantly the result of natural variability, particularly as several studies in addition to this one have shown that tropical forcing is an important driver of changes in sea ice variability. The two principal findings (thus far) that are likely to be taken forward by other researchers are: (i) the importance of considering temporally and spatially remote connections between the atmospheric circulation when attributing sea ice variability and change, and (ii) the need to consider the effect of interactions between aerosols and increasing greenhouse gases when making projections of future circulation changes at southern high latitudes. |
Sectors | Environment Government Democracy and Justice |
Title | Global NEMO025-LM |
Description | NEMO 3.6 stable + CICE 5.1, with TKE vertical mixing and modified lateral melting scheme due to prognostics ice floes sizes, monthly output of U,V,T,S, W, vertical diffusivity and monthly output of sea ice (Hice Aice, Uice, Vice, Internal stresses, ice tendencies) and wave information (HS, Tp) |
Type Of Material | Computer model/algorithm |
Provided To Others? | No |
Impact | Utilised in a paper in preparation and results given in conferences. |
Title | Global NEMO025-control |
Description | NEMO 3.6 stable + CICE 5.1, with TKE vertical mixing and modified lateral melting scheme with constant ice floes sizes, monthly output of U,V,T,S, W, vertical diffusivity and monthly output of sea ice (Hice Aice, Uice, Vice, Internal stresses, ice tendencies) and wave information (HS, Tp) |
Type Of Material | Computer model/algorithm |
Provided To Others? | No |
Impact | Utilised in a paper in preparation and results given in conferences. |
Title | Global NEMO1-GLS-wave |
Description | NEMO 3.6 stable + CICE 5.1, with modified GLS vertical mixing for wind effects, monthly output of U,V,T,S, W, vertical diffusivity and monthly output of sea ice (Hice Aice, Uice, Vice, Internal stresses, ice tendencies) and wave information (HS, Tp) |
Type Of Material | Computer model/algorithm |
Provided To Others? | No |
Impact | Utilised in a paper in preparation and results given in conferences. |
Title | Global NEMO1-GLS-wind |
Description | NEMO 3.6 stable + CICE 5.1, with modified GLS vertical mixing for wind effects, monthly output of U,V,T,S, W, vertical diffusivity and monthly output of sea ice (Hice Aice, Uice, Vice, Internal stresses, ice tendencies) and wave information (HS, Tp) |
Type Of Material | Computer model/algorithm |
Provided To Others? | No |
Impact | Utilised in a paper in preparation and results given in conferences. |
Title | Global NEMO1-LM |
Description | NEMO 3.6 stable + CICE 5.1, with TKE vertical mixing and modified lateral melting scheme due to prognostics ice floes sizes, monthly output of U,V,T,S, W, vertical diffusivity and monthly output of sea ice (Hice Aice, Uice, Vice, Internal stresses, ice tendencies) and wave information (HS, Tp) |
Type Of Material | Computer model/algorithm |
Provided To Others? | No |
Impact | Utilised in a paper in preparation and results given in conferences. |
Title | Global NEMO1-control GLS |
Description | NEMO 3.6 stable + CICE 5.1, control 2 with GLS vertical mixing, monthly output of U,V,T,S, W, vertical diffusivity and monthly output of sea ice (Hice Aice, Uice, Vice, Internal stresses, ice tendencies) and wave information (HS, Tp) |
Type Of Material | Computer model/algorithm |
Provided To Others? | No |
Impact | Utilised in a paper in preparation and results given in conferences. |
Title | Global NEMO1-control TKE |
Description | NEMO 3.6 stable + CICE 5.1, control 1with TKE vertical mixing lateral melting scheme with constant ice floes sizes, monthly output of U,V,T,S, W, vertical diffusivity and monthly output of sea ice (Hice Aice, Uice, Vice, Internal stresses, ice tendencies) and wave information (HS, Tp) |
Type Of Material | Computer model/algorithm |
Provided To Others? | No |
Impact | Utilised in a paper in preparation and results given in conferences. |
Title | HadGEM3A-xlaya |
Description | pre-industrial control simulation (HadGEM3 + UKCA), 20 years of spin up then 35 year experimental phase simulation. Atmosphere only simulation with fixed SSTs and Sea Ice from HadGEM2-CC CMIP5 historical simulation. SSTs & sea ice were a 12 month average of 1861-1900. All atmospheric chemistry and greenhouse gases set as an average of the same period. |
Type Of Material | Computer model/algorithm |
Provided To Others? | No |
Impact | Results presented at AGU 2015 Fall Meeting |
Title | HadGEM3A-xlayc |
Description | GHG simulation. A copy of the xlaya but with present day greenhouse gas concentrations. It ran for 35 years for the experimental phase |
Type Of Material | Computer model/algorithm |
Provided To Others? | No |
Impact | results presented at AGU 2015 Fall Meeting |
Title | HadGEM3A-xlaye |
Description | El Nino simulation. A copy of xlaya but with an El Nino anomaly added to the SST and Sea Ice fields. It ran for 35 years for the experimental phase |
Type Of Material | Computer model/algorithm |
Provided To Others? | No |
Impact | None |
Title | HadGEM3A-xlayf |
Description | La Nina simulation. A copy of xlaya but with a La Nina anomaly added to the SST and Sea Ice fields. It ran for 35 years for the experimental phase |
Type Of Material | Computer model/algorithm |
Provided To Others? | No |
Impact | None |
Title | HadGEM3A-xlayg |
Description | A copy of the pre-industrial control (xlaya), but with a file to include anthropogenic aerosol emissions. |
Type Of Material | Computer model/algorithm |
Provided To Others? | No |
Impact | Contribution to a paper in preparation. |
Title | HadGEM3A-xlayi |
Description | All Forcings - A copy of the pre-industrial control (xlaya), but with the CFCs from xlayp, greenhouse gases from xlayp and anthropogenic aerosols from xlayg. |
Type Of Material | Computer model/algorithm |
Provided To Others? | No |
Impact | Contribution to a paper in preparation. |
Title | HadGEM3A-xlayo |
Description | A copy of the pre-industrial control (xlaya) but with GHG levels from xlayc and CFCs in the chemistry scheme based on xlayp |
Type Of Material | Computer model/algorithm |
Provided To Others? | No |
Impact | Contribution to a paper in preparation. |
Title | HadGEM3A-xlayp |
Description | Ozone simulation - A copy of the pre-industrial control (xlaya) but with CFCs included in the chemistry scheme to create an ozone hole. |
Type Of Material | Computer model/algorithm |
Provided To Others? | No |
Impact | Contributing to a paper in preparation. |
Title | HadGEM3A-xmxna |
Description | Pre-industrial controi HadGEM3 simulation |
Type Of Material | Computer model/algorithm |
Provided To Others? | No |
Impact | Part of a collaboration with Kyle Clem at the Victoria University of Wellington, New Zealand. |
Title | HadGEM3A-xmxnb |
Description | As xmxna but with 2 deg C warmer SSTs in the West Pacific |
Type Of Material | Computer model/algorithm |
Provided To Others? | No |
Impact | Part of a collaboration with Kyle Clem at the Victoria University of Wellington, New Zealand. |
Title | HadGEM3A-xmxnc |
Description | As xmxna but with 2 deg C warmer SSTs in the Indian Ocean |
Type Of Material | Computer model/algorithm |
Provided To Others? | No |
Impact | Part of a collaboration with Kyle Clem at the Victoria University of Wellington, New Zealand. |
Title | HadGEM3A-xmxnd |
Description | As xmxna but with 2 deg C warmer SSTs in the West Pacific and Indian Oceans. |
Type Of Material | Computer model/algorithm |
Provided To Others? | No |
Impact | Part of a collaboration with Kyle Clem at the Victoria University of Wellington, New Zealand. |
Title | ORCA1-005fr4R |
Description | NEMO 3.6 alpha + CICE 5.0.4, monthly output As 3T4R, but with rn_ediss = 0.1 |
Type Of Material | Computer model/algorithm |
Provided To Others? | No |
Impact | Used in Ocean Modelling paper |
Title | ORCA1-3T2R |
Description | NEMO 3.6 alpha + CICE 5.0.4, monthly output As 3T4R, but runoff according to estimates by Rignot et al. (2013). |
Type Of Material | Computer model/algorithm |
Provided To Others? | No |
Impact | Used in Ocean Modelling paper |
Title | ORCA1-3T4R |
Description | NEMO 3.6 alpha + CICE 5.0.4, monthly rn_ediss = 0.3 and 4000 Gt/yr runoff with concentration along Antarctic coast |
Type Of Material | Computer model/algorithm |
Provided To Others? | No |
Impact | Used in Ocean Modelling paper |
Title | ORCA1-3T4RE |
Description | NEMO 3.6 alpha + CICE 5.0.4, monthly output As 3T4R, but evenly distributed runoff south of 60S. |
Type Of Material | Computer model/algorithm |
Provided To Others? | No |
Impact | Used in Ocean Modelling paper |
Title | ORCA1-3T4RNI |
Description | NEMO 3.6 alpha + CICE 5.0.4, monthly output As 3T4R, but without initial sea ice. |
Type Of Material | Computer model/algorithm |
Provided To Others? | No |
Impact | Used in Ocean Modelling paper |
Title | ORCA1-3T4RSSR |
Description | NEMO 3.6 alpha + CICE 5.0.4, monthly output As 3T4R, but using freshwater fluxes from time-averaged salt restoring. |
Type Of Material | Computer model/algorithm |
Provided To Others? | No |
Impact | Used in Ocean Modelling paper. |
Title | PERIANT025-PC_noGM-rnf-rignot |
Description | NEMO 3.6 stable + CICE 5.1, 5-day output of U,V,T,S,rho and monthly output of sea ice As PC_noGM-ts-tke1-corr-R, but with runoff following Rignot et al. (2013) |
Type Of Material | Computer model/algorithm |
Provided To Others? | No |
Impact | None |
Title | PERIANT025-PC_noGM-rnf-trend |
Description | NEMO 3.6 stable + CICE 5.1, 5-day output of U,V,T,S,rho and monthly output of sea ice As PC_noGM-rnf-rignot, but with linear trend in runoff and ice shelf melt rates in Amundsen and Bellingshausen Seas. From 1900 Gt/yr in 1979 to 2300 Gt/yr in 2013. |
Type Of Material | Computer model/algorithm |
Provided To Others? | No |
Impact | None |
Title | PERIANT025-PC_noGM-ts-tke1-corr-R |
Description | NEMO 3.6 stable + CICE 5.1, 5-day output of U,V,T,S,rho and monthly output of sea ice no eddy-induced velocities, time-split free surface, added extra southward volume flux at 30S. First run 1979-1988 and then restarted at 1979. |
Type Of Material | Computer model/algorithm |
Provided To Others? | No |
Impact | None |
Description | SST model simulations |
Organisation | Victoria University of Wellington |
Country | New Zealand |
Sector | Academic/University |
PI Contribution | Providing bespoke model simulations based on those produced for the Poles Apart grant |
Collaborator Contribution | Undertaking analysis of the model results to assess how changes in tropical SSTs correlate with surface air temperature changes over Antarctica. |
Impact | Paper in preparation. |
Start Year | 2016 |
Title | Mixing modules in NEMO |
Description | New ocean mixing modules for the NEMO system |
Type Of Technology | Software |
Year Produced | 2017 |
Open Source License? | Yes |
Impact | The modelling community is informed on the model development, which will be used as an open source for the scientific research. |
Description | Answering press questions (CNN) |
Form Of Engagement Activity | A magazine, newsletter or online publication |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Media (as a channel to the public) |
Results and Impact | Providing answers to press questions from Brandon Miller (CNN) on Antarctic sea ice minimum |
Year(s) Of Engagement Activity | 2017 |
URL | http://edition.cnn.com/2017/02/16/world/antarctica-sea-ice-record-low/ |
Description | Answering press questions (Climate Central) |
Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Media (as a channel to the public) |
Results and Impact | Skype interview with Andrea Thompson (Climate Central) on Antarctica Sea Ice Minimum (article in preparation for their website). |
Year(s) Of Engagement Activity | 2017 |
Description | Climate change outreach - Manchester museum of science and industry |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Public/other audiences |
Results and Impact | James Pope was part of the BAS 'stall' at this event. |
Year(s) Of Engagement Activity | 2015 |
Description | I'm a scientist, get me out of here |
Form Of Engagement Activity | Engagement focused website, blog or social media channel |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Schools |
Results and Impact | PDRA, Dr James Pope took part in the online schools national outreach event, I'm A Scientist, Get Me Out of Here. He was fortunate enough to win the Dysprosium Zone, the winner being decided by the votes of the school students in the zone, who have spent the preceding two weeks asking questions of the scientists in the zone. |
Year(s) Of Engagement Activity | 2015 |
URL | http://imascientist.org.uk/ |
Description | Schools career talk |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | Local |
Primary Audience | Schools |
Results and Impact | James Pope gave a careers talk to 80 sixth form pupils at Hill House school, Doncaster |
Year(s) Of Engagement Activity | 2016 |
Description | Statement for BAS website |
Form Of Engagement Activity | Engagement focused website, blog or social media channel |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Public/other audiences |
Results and Impact | Statement produced on 2017 Antarctic sea ice minimum as a news story for BAS website |
Year(s) Of Engagement Activity | 2017 |
URL | https://www.bas.ac.uk/media-post/antarctic-sea-ice-extent-lowest-on-record/ |
Description | Talk at Scott Polar Research Institute |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | Local |
Primary Audience | Public/other audiences |
Results and Impact | James Pope gave a presentation on his work on Antarctic sea ice as part of the Poles Apart project |
Year(s) Of Engagement Activity | 2015 |