Antarctic snows

Here’s a sentence I have been promising to write on this blog since at least March this year: Antarctica has been gaining ice since 2020. Not losing, gaining. Only 68 gigatonnes a year admittedly, actually a mere drop in the ocean, (or should that be crystal in the ice sheet?), given the vast size of the place, but an (almost) new paper that I worked on, led by the excellent Marlen Kolbe, explains why.

From Kolbe et al., 2026 Black: Monthly cumulative GMB anomalies from April 2002 to December 2024, based on GRACE (with respect to the mass as of 2011-01-01 before being subtracted from the GMB anomaly in April 2002 to show the changes since the mission launch). Dotted: Monthly cumulative SMB anomalies based on ERA5 from April 2002 to April 2025 (ERA5), December 2024 (HCLIM43) and December 2023 (RACMO2.4p), all with respect to the 1995-2010 mean, before subtracting their SMB from April 2002 (as for GRACE). Light straight solid lines indicate linear trend slopes from 2003 to 2019, and 2020 to 2024 (2023 for RACMO2.4p), with trends printed in the respective colour (all trend slopes are significant with p < 0.05). The small change in the grey line’s angle around 2017 reflects the 1-year GRACE – GRACE-FO gap. Red time series: Grounding line discharge from8 based on bed topography and velocity measurements from 1996 through to July 2024

First, the background. For most of this century, the Antarctic Ice Sheet has been losing mass at a pretty steady rate of around 100 Gigatonnes a year, pushing up global sea levels a small amount (About one third of a millimetre per year in fact, a little less than half the Greenland contribution for example). Antarctica is by far the biggest potential contributor to future sea level rise, so this is the number we all watch rather closely, as we also discussed the other week when the IMBIE paper came out. Then, around 2016, the satellites started telling us something odd: the losses were slowing down. And by 2020, the whole continent had swung into a small but definitely positive net gain — even though the ice flowing out to sea from West Antarctica’s glaciers kept accelerating throughout (the red curve in the figure above and the red areas in the discharge maps below).

Maps show linear trends of GMB (c, f), SMB (d, g), and discharge (e, h) per basin for two time periods. Basins are greyed out where the trend is not significant (p < 0.05). 

So what was going on? The answer, it turns out, is snow. Rather a lot of it in fact, falling mostly in East Antarctica, but also in other events over the peninsula and in West Antarctica. But what was driving those enhanced snowfalls? The blue bits in the picture above show regions where there is an increase in snowfall

In what is either an incredible coincidence, or somehow a related process, at the same time the sea ice around Antarctica started to decline, big time:

Rank of monthly sea-ice extent – Southern Hemisphere from our colleagues at EUMETSAT’s OSISAF facility

This was also an idea we explored in our Greenlandification paper, so my initial suspicion was that the loss of sea ice around the continent allowed more snow to reach the coast, both because more open water meant more evaporation from the sea, but also because less was lost over the sea ice. And a first sight of the statistics seems to support that.

From Kolbe et al., 2026 a Seasonal correlations of basin-wide SMB and adjacent ocean-basin SIC for summer (DJF), autumn (MAM), winter (JJA), and spring (SON). The basins are shown in (b), where the transparent land areas represent the region where SMB anomalies are summed (excluding ice shelves), and correlated to the respective adjacent ocean basins. WS Weddell Sea, IND Indian Ocean, WP West Pacific, RS Ross sea, AMU Amundsen sea, BEL Bellingshausen sea. Boxes without numbers indicate insignificant correlations (p ≥ 0.05)

But it’s not very convincing – those correlation values are pretty low in most cases and of course, as we all know, correlation doesn’t really prove causality. So given we have a model, we could actually do something kind of cool, and run some experiments. In this case we added additional sea ice and we took sea ice away. And we showed that indeed there is a *small* effect of sea ice on the snow that reaches the continent.

From Kolbe et al., 2026 Mean Sea ice concentration from June 2021 to July 2022 under (a) control conditions (CTRL), b enhanced sea ice (exICE), and c no sea ice (noICE) scenarios. d Total accumulated precipitation from June 2021 to July 2022 in the control simulation, and that of the noICE (e) and exICE (f) experiments minus the control run. Numbers beneath the plots give the total amount (or difference from) for the grounded ice sheet (AIS) and including ice shelves (AIS + IS). In d blue circles mark regions exceeding 6000 mm with the maximum value shown in the blue rectangle. In c, d, green circles mark regions exceeding 1500 mm and orange circles mark regions below −1000 mm with min/max values per plot are shown in the upper rectangles; 

But there is also likely another explanation..

Rivers in the sky

The snow delivery service comes in the form of atmospheric rivers. As the name indicates these aren’t rivers of water on the ground but long, narrow filaments of water vapour in the atmosphere, and they can carry astonishing amounts of moisture from the subtropics all the way to the Antarctic coast. When one of these slams into the steep edge of the ice sheet, all that moisture falls out as snow.

Think of them as the sky’s equivalent of a shower: most days the atmosphere delivers very little moisture or a relatively small even flow for a quick wash, but occasionally the power shower comes on and a single event dumps a month or even a year’s worth of snow in a day or two.

Atmospheric rivers originate from the southern Pacific Ocean and transport heat and moisture to the Antarctic Peninsula. Satellite image: Jonathan Wille/MODIS/NASA From the Polar Journal

Marlen’s analysis showed that from 2020 onwards, atmospheric rivers reaching Antarctica became both more frequent and more intense, helped along by stronger westerly winds (an effect of the southern annular mode, known as SAM to friends) and changes in the sea ice around the coast. East Antarctica got hammered with exceptional snowfall in 2022 in particular especially in Queen Maud Land and Wilkes Land and that extra snowfall more than compensated for the (still increasing!) ice loss from West Antarctica.

This is the surface mass balance doing its thing: SMB is a two-way term, with snowfall adding mass and melt and runoff removing it. In Antarctica there is very little surface melt and even less runoff so a few enormous snowfall years can push the whole continent’s ledger into the black, even while the dynamic term, what we call ice discharge in the paper, which only ever removes mass, has been accelerating.

So is this good news?

I’m afraid not, or at least, not necessarily.

We don’t know yet whether this gain is a temporary blip or a lasting feature of a warmer world. Atmospheric rivers are driven by weather patterns reaching Antarctica from the tropics and mid-latitudes, and the patterns that control them can shift as another recent paper (that came out after ours) also pointed out. A few years with fewer atmospheric rivers could easily tip the mass budget back to losses, even larger ones than before given the acceleration of ice lost in West Antarctica.

The satellite debt

None of this would be known without the GRACE satellites (and the successor, GRACE-FO), which measure changes in Earth’s gravity field and can effectively weigh an ice sheet from orbit. It never ceases to amaze me that we can now effectively put the Antarctic Ice Sheet on a bathroom scale, as a friend of mine once commented – we’re really living in the future with this stuff. The work was part-funded through ESA’s Climate Change Initiative (of which more in a later post), which has quietly built some of the most valuable long-term climate datasets we have, this study is one more reason they deserve support. Modelling was conducted in the course of our Horizon Europe OCEAN ICE project that is now sadly coming to an end (more of that anon).

The paper

Full credit to the immensely productive Marlen Kolbe, who led the work based on ideas we had while she was a visiting PhD student, and to my ace colleague Abraham Torres Alavez who ran the multiple experiments as well as to all my co-authors.

Kolbe, M., Torres Alavez, J.A., Mottram, R., et al. (2026). Atmospheric rivers and winter sea ice drive recent reversal in Antarctic ice mass loss. Communications Earth & Environment, 7, 255. doi:10.1038/s43247-026-03242-3

As always, questions, corrections and speculations welcome in the comments here, or find me on mastodon at @ruth_mottram.

Half a century of ice loss: the new IMBIE dataset

More publication news! This month I’ve actually had 3 co-authored publications come out and hot on the heels of the mélange paper, a rather different piece of work I’ve contributed to has just come out: the latest assessment from the Ice Sheet Mass Balance Inter-comparison Exercise known as IMBIE to its friends, has just been published in Scientific Data. The paper is open access here: Otosaka et al., 2026. It’s the third (at least) in a series of articles monitoring the health of the ice sheets.

Figure 2 from the IMBIE paper is the money shot, as it were. The changes in ice sheet mass budget since the 1970s…

This one is a bit different from my usual, as it’s a data paper — the whole point is the dataset itself, which is freely available for anyone to download and use. But the numbers in it are rather striking and here is already a bit of misinformation spreading, so I thought it worth a short post.

What is IMBIE?

For readers who haven’t come across it before: IMBIE is a big international collaboration, supported by ESA and NASA, that tries to answer a seemingly simple question: how much ice are Greenland and Antarctica actually losing?

The problem is that measuring the mass of an ice sheet from space is really hard, and there are several different ways to do it — satellites that measure changes in ice sheet height (altimetry), satellites that measure changes in Earth’s gravity field (gravimetry), and the input-output method, where you compare how much snow falls on the ice sheet with how much ice flows out to sea at the glacier fronts. Each method has its strengths and weaknesses, and no single one gives the whole picture, specific choices in analysing satellite datasets can also give quite different results, not to mention model estimates of SMB can have a wide divergence.

IMBIE’s remit is to bring all the different groups together, get everyone to compute their estimates in a common framework, and then combine them. When many independent measurements agree, we can be much more confident in the answer, and that answer feeds directly into things like the IPCC reports and projections of future sea level rise. It’s community science at its best, even if it probably feels like herding cats to the fantastic coordinator Ones Otosaka, and I’ve been proud to contribute estimates from our HIRHAM5 surface mass balance modelling for both ice sheets to several of the IMBIE assessments over the years.

What’s new this time?

This latest assessment is the most comprehensive yet. The team combined 42 independent satellite surveys from 27 satellite missions — and extended the record further back than ever before, all the way to 1972 for Greenland and 1979 for Antarctica, using the early Landsat archive. That gives us a half-century view of how the ice sheets have changed. Though admittedly the recent years are much better covered than the earlier ones.

So what does half a century of satellite data tell us? (Note: just me who finds it hard to understand the 1970s as half a century ago?)

The two ice sheets have lost 11,300 billion tonnes of ice since 1979, raising global sea level by 31.4 mm — about three centimetres. Greenland accounts for the larger share, with Antarctica contributing 13.3 mm. The ice sheets are now responsible for roughly a quarter of all global sea level rise. The remainder is mostly due to thermal expansion as the oceans warms..

Three centimetres may not sound like much, but as Andrew Shepherd put it in the press release, that puts another six to nine million people at risk of coastal flooding and erosion. And the trend is very much in the wrong direction. In low-lying  Denmark this gives us more extreme storm surges and coastal flooding as even a few centimetres

A headline and a nuance: it’s the ice dynamics, not the surface melt, or is it?

There’s an important part of the paper which partitions the mass budget between dynamical losses and SMB changes. This is highlighted and the reasoning seemed obvious to me but in conversation with others is perhaps less obvious, so I want to discuss it here.

Of all that ice loss, 84% came from ice dynamics, that is outlet glaciers speeding up and discharging more ice into the ocean, from both calving icebergs and submarine melt, but “only” 16% from enhanced surface melting.

Now, I have spent a large part of my career working on surface mass balance, how much snow falls on the ice sheet and how much melts off it. We track it in near real-time on the Polar Portal, I write annual updates about it, and it’s genuinely important as it is the only way an ice sheet can maintain itself, no snowfall, no ice sheet.

Melt is also an important driver of ice dynamics, especially for Greenland. So it maybe should be with some professional humility that I report that the long-term mass loss story is apparently mostly a dynamics story: the ice sheets are responding to a warming ocean by flowing faster into the sea. Greenland’s rate of loss went from around 60 billion tonnes per year in the 1980s to 264 billion tonnes per year in the 2010s; Antarctica’s went from 48 to 202 billion tonnes per year over the same period, driven overwhelmingly by ocean melting at the outlet glaciers — with West Antarctica’s Pine Island and Thwaites glaciers leading the charge.

But there’s an important nuance in that 84/16 split, and it’s worth being clear about what it does and doesn’t mean. Surface mass balance is a two-way term: it’s positive when snow accumulates and negative when ice melts and runs off. And a warming climate pushes on both sides of the equation, more melt, certainly, but also more precipitation, at first as snow and increasingly we can measure over Greenland at least, as rain. Dynamic mass loss, by contrast, can only ever be negative: glaciers can only discharge ice into the ocean, they can’t drag it back up again. So we honestly wouldn’t expect SMB to be the biggest term in the loss budget, both sides of the SMB equation are increasing, it is in a race with itself. The genuinely worrying scenario is the one where melt and runoff together becomes bigger than snowfall. We are a very long way from that scenario fortunately, particularly in Antarctica but we’ll be in big trouble if, or perhaps when, that happens.

(Calving glaciology colleagues will note this whole discussion connects rather nicely to the question of what controls calving rates, which was the subject of my last post on melange…)

And now for a note of caution on the recent slowdown

You might have seen headlines suggesting ice loss has slowed down recently. It’s true that the most recent years in the record (2020–2023) show a temporary slowdown. A run of milder Greenland summers roughly halved its surface melting, and record snowfall over East Antarctica has offset some of the glacier losses there.

In fact we as a community have been on it as that East Antarctic snowfall is a story in itself. In a paper led by Marlen Kolbe earlier this year (Kolbe et al., 2026), (that I didn’t quite get around to talking about then, but I will rectify that), we showed that the extra snow is being delivered by atmospheric rivers — those great corridors of moisture streaming from a much warmer ocean towards the continent. Since 2020 they’ve become more frequent and more intense, dumping enough snow over East Antarctica to tip the whole ice sheet’s mass budget briefly into positive territory.

Is that reversal in mass budget temporary or permanent? Honestly, we don’t know yet but it matters because atmospheric rivers are double-edged. They bring massive snowfall, but they’re also often accompanied by a lot of melt — warm, wet air is rather good at melting ice as well as adding it. So the balance between accumulated snowfall and melt becomes more critical to understand here too, and the existing balance may well tip in the future.

The long-term picture remains one of accelerating loss, and as the climate continues to warm, we expect the losses to pick up again, especially in Greenland which is much further south than Antarctica is north, if that makes sense?

Refrozen melt layers in an Antarctic shallow ice core. We found a lot more of these than we expected based on satellites. Our all-seeing eyes in the sky don’t always see everything..

The response of the ice sheets to a warming climate is the single largest source of uncertainty in projections of future sea level rise. High-end estimates of global sea level rise by 2150 increase by a factor of 2.6 once the risk of ice sheet instability is accounted for. A continuous, half-century record of what the ice sheets are actually doing is exactly what we need to test the models and narrow those uncertainties, which is precisely why this dataset is such a valuable community resource, and why sustaining the satellite missions (CryoSat-2 and the Sentinels among them) that make it possible matters so much.

The full dataset is freely available from the UK Polar Data Centre, and you can read more about the IMBIE project at imbie.org. My thanks to Inès, Andrew, Tyler and the whole IMBIE team for pulling it all together — these assessments are an enormous amount of work, and the credit for this one belongs firmly with them.

As always, comments and questions welcome, here or on mastodon or blue sky.

Otosaka, I. N., Shepherd, A., Amory, C., et al. (2026). Mass balance of the Greenland and Antarctic ice sheets from the 1970s to 2023. Scientific Data, 13, 1301. https://doi.org/10.1038/s41597-026-08088-0

Meeting LISA

LISA: the Lightweight In Situ Analysis box is one of a kind; built by our friends at PICE in the Niels Bohr Institute. Later this year we’re taking LISA to Antarctica for the first time ever, to analyse shallow snow and firn cores directly in the field.

This is part of our contribution to the EPIC iQ2300 – a project led by Prof. Arjen Stroeven in Stockholm and organised by the Swedish Polar Research Secretariat.

iQ2300 is a huge project, and we are just a small part of it: the aim is to understand Dronning Maud Land’s evolution from the Holocene and out to 2300. Expect to hear a lot more about this effort in coming months…

Map of Antarctica, I lifted from polar.se : LISA will be visiting the Swedish Wasa station in DML – the top bit on this map – with us


Now back to our humble friend.

We hope LISA will help us understand how much snow falls in Dronning Maud Land, how much it varies from year to year and what is the influence of sea ice and far field atmospheric processes on the rate of snowfall. Snowfall is exceptionally difficult to measure and one of our biggest uncertainties in working out Antarctic mass budget and the response of Antarctica to a changing climate (spoiler alert: we might have a paper coming out about this shortly)…

Meet LISA: a view inside the Magic Box..


Although LISA has been used in Greenland before, this is quite an experimental deployment, which means potentially really a lot of valuable scientific results. We would ultimately liek to build an Antarctic specific box, but that will have to wait to see if the results of this deployment are as good as we hope. (And some funding – if you are a billionaire with a spare couple of hundred thousand Euros, we’re always interested in talking).

The box itself is conceptually simple but in practice a little complex with a multiplicity of tubes, connectors and spare parts. This means it’s easy to fix if it breaks down, but also we need to understand how it works first.

Some parts of LISA are quite fiddly…


Today, the awesome and exceptionally generous Associate Professor Helle Kjær took myself, Stockholm Uni Prof Ninis Rosqvist and our PhD colleague from the Novo Nordisk funded PRECISE project, Clément Cherblanc through the use of the box.

Helle showing Clément the workings inside LISA

There’s a lot to remember and a lot to check but we’re reasonably hopeful we’ll get good results. The aim is to understand both the interannual variability on decadal timescales and the spatial gradients in snowfall accumulation. It’s a huge task, so it’s probably fortunate that we have 6 weeks or so (depending on the weather always!) to try and get it deployed at anumber of different sites which will hopefully allow us to do this.

It’s a big change to my normal fieldwork activities, but also a logical extension of them. And highly complementary to the climate and SMB modelling we are developing.

Nonetheless, ithere’s a lot of new stuff and I have in the past weeks learnt a great deal about transporting very small amounts of mildly hazardous chemicals on airlines, how to deal with customs and pack fragile instruments in large boxes.

Much more to come on this project, so stay tuned…

Clement getting stuck into using the software that measures different properties in the cores.

#PolarSekretariatet #AntarcticFieldwork #IceClimate #PolarClimate #Snow #SMB #AtmosphericVariability #iceCores #FirnCores #SnowCores