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.

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

Q is for Qaanaaq

Back in Denmark after 2 weeks in Greenland. Always a bit strange to come back, not just that transition from Arctic cold to European Spring but the sheer abundance of the fertile mid-latitudes, colours, plants, trees, the sheer number of people.

Not to mention that expedition frame of mind, where you are really focused on accomplishing a given set of often quite complex tasks (almost) without distraction. It is the ultimate deep work task, and naturally readjusting to family life, not to mention the tsunami of work tasks left on hold is… difficult.

This particular deep fieldwork has been carried out in Qaanaaq, Northern Greenland, as I’ve written about before. The community of about 600 people (and maybe a 1000 dogs), was established in the 1950s when the US established the Thule air base. It is almost the most northern settlement in Greenland – and certainly the largest. The small village of Siorapaluk is about 45km (or 6 hours by dog sled) further away.

The town was formerly a summer hunting spot, but after Thule was decided on, the community was moved to Qaanaaq year round. It has an association with the famous Danish explorer Knud Rasmussen, whose old house is a museum (allegedly. I’ve never actually had time to visit it..)

DMI established a geomagnetic observatory there in the 1950s and today its part of the Comprehensive Test Ban Treaty Organisation network that DMI operates on behalf of the Danish government from what we now call the DMI geophysical facility. There is transnational access to this via the INTERACT network.

This year we again visited the glaciers at the head of the Inglefield Fjord – expanding a new research programme we piloted last year. We also did a lot of work on the sea ice – not just Steffen Olsen‘s ocean programme, but a new NCKF research programme looking at biological productivity and carbon cycling in the fjord, led by Anna Pedersen, a DMI PhD student also at the University of Southern Denmark. I and another colleagues also did a lot of work on snow processes that is something of a pilot programme for a processes project we’d like to establish next year that will also involve (hopefully) our weather forecasting colleagues and perhaps also the GEUS PROMICE programme.

All of this work involved 6 days of travelling over and camping on the sea ice, plus an additional day trip. We were lucky with the weather, although it was *extremely* cold, around -25 to -28C most days, and dipping well below -30C at night (though being after the equinox it was never truly pitch dark). However, in general there was little wind, no fresh snow (which can really slow the dogs down as they struggle to pull through deep soft snow) and the sun shone every day. This meant we basically managed to achieve the full planned programme – including our extra-optimistic goals – which almost never happens in fieldwork.

Camping on the sea ice at sunset. Northern Greenland
This work by Ruth Mottram is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

I intend to write a whole series of posts based on what we have been doing scientifically and technically as well as some general observations. There have been various hints already in my preferred social network. The whole trip was super inspiring, it’s always valuable to get out and observe the real world when you’re trying to model it, understand it and make projections of sea level rise.

I also promised to make another Lego scientists series and took quite a few photos in between times to do so. However, the research programme was packed, so I had no time at all to make the comic during fieldwork, that will have to wait a few weeks.

Expect my pixelfed account to host gratuitous numbers of dog pictures. And ice pictures. And unexpectedly clear blue skies. For now it’s time to unpack, get the washing machine going and spend some time with my family.

Sunset over sea ice near Qaanaaq, North West Greenland
This work by Ruth Mottram is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

As ever, thanks to my amazing colleagues Steffen Malskær Olsen, Andrea Gierisch and Anna Pedersen for an incredible trip and to DMI station manager in Qaanaaq Aksel Ascanius without whom most of this work would be impossible.

Special thanks to our friends in Qaanaaq, the local hunters, whose unfailing energies and knowledge are absolutely essential to these scientific projects. We literally could not do this without them and of course their dogs.

I must also credit DMI and the Danish Government for funding via the National Center for Klima Forskning and thanks also to Horizon Europe projects PROTECT on sea level rise and PolarRES for additional inspiration and funding and to my colleagues at the Horizon Europe/NERC project OCEAN:ICE for indulging my two weeks away. All three projects will benefit from the insights gained in this fieldwork.

The further adventures of batgirl…

I wrote this series of comics to amuse and inform my kids while I was on fieldwork a few years ago. It turned out to be quite a success and my kids classes both read the Danish versions at their school.

Last year I started https://icemangoeshome.wordpress.com/more-arctic-adventures/ the further adventures of batgirl on the ice with her new friends the Lego scientists and a couple of stowaways.. but last year’s season was extremely busy and I never managed to finish it.

I asked yesterday on mastodon if I should do another this year, and the only feedback I got was I should try to finish the one I started last year. So maybe that’s what I’ll try to do. It’s always challenging fitting around field tasks though so no promises.

This is just a quick post from the airport: you’ve been warned, bat girls and her friends are on their way back with a new season!

A New Arctic Adventure

Lego figures in the snow

Natural cycles: oceans and glaciers and volcanoes…

Reblogging this brilliant piece in Ars Technica* with thanks to Andrew Dessler on Mastodon for sharing.

It’s a really thorough introduction to the climate system and all the natural sources of climate variability and cycles of change, including links to sources. Well worth taking your time over with a morning cup of tea and probably I’ll assign it as an introduction text for BSc students (and management) on the big picture of climate change.

I also love it for the introduction where multiple eminent and respected scientists are asked what they’d buy with all the dollars they’d have if they were given one dollar every time someone asked them about “natural climate cycles”. As you might expect, the answers range from heat pumps and solar panels to new bicycles and a time machine.

Not sure what I’d use it to pay for, possibly a new postdoc position to work on snow and ice processes?

Figure from NASA showing changes in incoming solar and the global temperature

Now that the doubt is out the way, please go and also read this wonderful piece by Rebecca Solnit in the Washington Post about why and how reducing fossil fuel use might lead to abundance and joy and enhanced quality of life (hat tip to David Ho also on mastodon for this one).

*as an aside: I haven’t read Ars Technica in ages. And it’s funny because I remember that when I first started on twitter way back in 2010 there were *a lot* of good articles shared from there on the bird site. Somehow they either were not shared or got suppressed and I stopped seeing them. I’m not sure if that was due to the algorithm or different people I was following. One of the nice things about mastodon is that without an algorithm (and crucially, by following *a lot* of people!) there is a chance to see a much greater diversity of different media. It feels a bit like seeing a different internet, outside the standard walled garden.

Signs of Spring

Currently, I’m very busy getting ready with colleagues to travel to Greenland next week. We have an extremely full programme of fieldwork activities covering oceanography, biology, sea ice, snow and glacier processes as part of our NCKF work. More on these no doubt in a future post…

Yesterday, one of my ace DMI colleagues (without whom most of the work we plan would definitely not happen) shared the first optical satellite image of the area this year – taken by ESA’s Sentinel 2 (a truly astonishing source of free imagery and everone should know about it). Because the area is very far north, it has been in the Polar night until now so we have been reliant on the ESA Sentinel 1 imagery based on radar.

First Sentinel-2 optical satellite image of the year downloaded from Sentinel Hub’s EO Browser today. Processing with Sentinel Hubs optimised natural colour filter has introduced some artefacts, notable the brigh white patches which probably represent areas of shadow due to the low solar angle. The area is blanketed in thin cloud and only parts of the glaciers, sea ice and icebergs are clearly visibe.

It’s a wonderful thing to see the first satellite image of Spring, akin to other signs like the first cuckoo (in the UK), the first peewit egg (in the Netherlands), and the timing of the cherry blossom in Kyoto.

The first lapwing (peewit) egg of the year was traditionally presented to the Dutch monarch – these days, given the

There was recently a very illuminating thread on phenology on mastodon in reply to a query by Pauline von Hellerman where the Diagram Monkey John Kennedy pointed out the existence of the Pan European Phenology network – not something I was aware of before (though I’d suspected it’s existence) – and who have all sorts of interesting data.

Where biology is clearly showing us earlier springs due to climate change, the date of the first optical image is unlikely to change any time soon due to climate change.

A newer updated version of the Economist’s cherry blossom flowering date plot provided by Datagraver after I posted the old one. See: https://mastodon.social/@Datagraver/110021046678442071

Nor are species assemblages (it’s not quite certain that it’s the same variety of cherry blossom for the whole 1200 year period), or biodiversity losses (the cuckoo is down 65% since the early 1980s alone in the UK, and heaven knows it was not particularly common then) likely to affect it. Not to mention human behaviour changes, the lapwing has gone from being a common agricultural bird to near threatened over the same period, which probably also affects the reliability of that data.

Of course, quite a bit of what you might call bulk phenology can be done by satellite too now…

Copernicus land dataset showing biological activity in Europe basedon satellite data available here

As for Qaanaaq, there is not much in the way of biological phenology, but a compilation and analysis of data on sea ice cover and thickness over the last 60 years would probably be as instructive. Do get in touch if you’re interested in doing this as a student project…

Conversion Factors

The official end of the hydrological year in Greenland (1st September to 31st August) means I am rather busy writing reports to give an overview of where the ice sheet is this year and what happened. I will try to write a quick blogpost about this in the next week or so (in case you’re curious here’s a quick plot to show the entire annual SMB, see also: http://polarportal.dk/en/groenlands-indlandsis/nbsp/isens-overflade/)

Daily and accumulated surface mass budget of the Greenland ice sheet, 31st August, 2015, last day of the hydrological year
Daily and accumulated surface mass budget of the Greenland ice sheet, 31st August, 2015
Anyway, as I find I am constantly switching between Gigatonnes (or indeed Gigatons), cubic kilometres and sea level equivalent, here is a quick and handy guide to converting different units of mass, for my own use as much as anyone else.

1 gigatonne is 1 billion metric tonnes  (or 1 milliard if you like the old British style, that is one thousand million).

However, on the Polar Portal we usually reckon everything in water equivalent. This is to save having to distinguish between snow (with a density between ~100 kg/m3 when freshly fallen and ~350 kg/m3 m when settled after a few days), firn (snow that has survived a full annual cycle with a density up to ~800 kg/m3) and glacier ice (anything from ~850 kg/m3 to 900+). Water has a density (at 4C) of 1000 kg/m3

1 gigatonne of ice will still weigh 1 gigatonne when it is melted but the volume will be lower since ice expands when it freezes.

1 metric tonne of water is 1 cubic metre and 1 billion metric tonnes is 1 km3 (a cubic kilometre of water)

A cubic kilometre of ice does not however weight 1 gigatonne but about 10% less because of the density difference.

100 gigatonnes of water is roughly 0.28mm of sea level rise (on average, note there are big regional differences in how sea level smooths itself out).

Finally, 1 mm sea level rise is 360 Gt of ice (roughly the number of days in a year) 

EDIT: – thanks to ice sheet modeler Frank Pattyn and ice core specialist Tas van Ommen on Twitter for pointing out I’d missed this last handy conversion. Interestingly and probably entirely coincidentally this is very close to the amount of mass lost by the Greenland ice sheet reported by Helm et al., 2014 for the the period January 2011 – January 2014 (pdf here) of 375 +/-24 km3 per year.

Over the last 10 years or so, Greenland has lost on average around 250 Gigatonnes of ice a year (Shepherd et al., 2012), contributing a bit less than a millimetre to global sea level every year with some big interannual variability. This year looks like it will be a comparable number but we will have to wait for the GRACE satellite results in a couple of months to fill in the dynamic component of the mass budget and come up with our final number.

Of course, gigatonnes and cubic kilometres are rather hard to visualise so we have skeptical science to thank for this post that tries. And as aside, Chris Mooney wrote a nice piece in the Washington Post on the difficulties of visualising how much ice is being lost which contains the immortal  line “Antarctica is clearly losing billions of African elephants worth of ice each year”.

Let it snow…

I have found myself shovelling a lot of snow this winter. As with last winter, it has been cold and snowy across northern Europe so far, which has led to the usual questioning of climate change by the usual suspects. There is some very good work examining this on the real climate blog and Marcus Brigstocke did his usual amusing best on the Now Show towards the end of last year, so I’m not going to write about the difference between weather and climate, or about how regional and global average temperatures differ. Rather, the time spent shovelling snow and wandering around the city streets camera in hand to take photos, really brought home how many of the snow processes that are subjects of active research in remote or mountainous areas are currently on display in our cities.

For instance, today in the local park I noticed that there is preferential melt occurring around the trees. The dark tree trunks absorb and emit more radiation that then melts snow around the trees faster than it melts in the open areas of the lawn. This is an important consideration in the planting of forests in snowy areas, since the presence of vast forests can significantly alter the albedo of the earth’s surface, that is how much radiation is reflected back in to space. Planting trees in the tundra to combat climate change may have the unintended effect of actually enhancing warming through changes of this kind.

Picture of glacier table - a boulder balanced on a thin stack of ice
Glacier table in Switzerland (Glaciers Online)

The process can also be seen to spectacular effect on glaciers, where rocks and boulders shield the ice below them from melting but enhance it around them, leading to the formation of so-called glacier tables, such as this one in Switzerland (from glaciers online).

More seriously, the heavy snow on rooves around the city is currently posing an avalanche hazard rarely encountered outside the mountains. The effect of sunshine on heavy snow, which is resting on a slope of a critical angle, can be extremely dangerous to the unwary. As are the large numbers of icicles which have developed. These are not just a sign of poorly insulated buildings (where the heat leaking out has caused the snow to melt and then quickly refreeze in the low temperatures we’ve had). Icicles falling from buildings show the same mechanics as seracs falling from the steep parts of glaciers known as ice falls. In this case, the ice builds up to such a degree that the sheer weight of it eventually causes fracture when a critical threshold is reached. Pedestrians are learning to walk on the outside of pavements and to look up frequently at the overhanging cornices of snow and ice.

But back to the snow shovelling. I have not done so much digging since fieldwork last winter in Svalbard, where we set up some experiments to study the properties of snow and how this affects the melt, or conversely the growth, of glaciers. Specifically, we were studying the effects of liquid water from snow melt or rain on the snow pack and the glacier surface. Liquid water filters into the snow, or else runs off bare glacier ice if there is no snow and will typically freeze, forming ice lenses in the snow pack, or large areas of what is known as superimposed ice on the glacier surface.   As you can imagine, there was a lot of snow shovelling, especially as the high winds on the glacier kept filling in the trenches we dug to work in.

Now this probably sounds like a fairly esoteric set of experiments, but the purpose is actually quite serious, since we need to know how much melt water refreezes to work out how much the glaciers and large ice sheets of the world are melting and how sea level rise is likely to progress in the future in a warming world.

Identifying the melt area of a glacier or ice sheet is a relatively straightforward task using satellite imagery, but identifying how much of that melt runs off or refreezes is impossible at present, so we generally use a model, based on observations and experiments like these, to make an approximation. We also need to factor in the effect of latent heat, (heat that is released when liquid water becomes solid ice) since this can warm up the snow pack significantly. In Greenland for instance, it is likely that the effects of higher temperatures over the last 20 years or so have been buffered somewhat by the snow pack and refreezing processes. However, as temperatures continue to increase, melt will probably accelerate partly because the saturated snow pack cannot absorb additional melt water but also because it has a higher temperature from the release of latent heat and thus requires less additional energy to melt.

Last winter I tested out some of the techniques we used in Svalbard, in a pile of snow in my back garden. I am also aware of at least one study into permafrost, where patterned ground usually found in Arctic climates was created in a back garden in St Andrews, so it’s even possible to do valid experimental work during the winter time when conditions are right. However, the climate of glaciated regions is generally unlike that of the cities of Europe so there will still be a need to go to places like Svalbard to do experiments quantifying these kind of processes. Nevertheless, I still find this kind of weather inspiring and I’m hoping to get more insights as the winter progresses.