A jumble of broken ice, and what it means for Greenland’s calving glaciers.

Publication day! Our new paper has just come out in The Cryosphere, and after what feels like rather a long gestation, I’m delighted to finally be able to share it – The full paper is open access and available here: Hedetoft, Bang Brinck and Mottram et al. (2026).

This is the paper I was working on while I was in Ilulissat back in May 2024, watching icebergs drift around the bay and setting up time lapse cameras from my guest house window. At the time I wrote that “one of the papers I’m working on this week analyses those iceberg related datasets” — well, this is that paper, and it’s been quite a journey to get it into print.

The back story

As I wrote back in one of my several Qaanaaq posts, my colleague Steffen Malskær Olsen has been running a long-term observation programme in the fjord near Qaanaaq for 15 years now. That programme, and the field laboratory DMI maintains there, gave us an extraordinary opportunity to study something that glaciologists have been arguing about for years: what role does ice mélange actually play in controlling calving?

Ice mélange — sometimes known as sikussaq in Greenlandic — is that chaotic jumble of icebergs, bergy bits and sea water that sits in front of marine-terminating glaciers. It’s been described as the world’s largest granular material, and it’s a characteristic feature of pretty much every calving glacier in Greenland. In winter, landfast sea ice forms and acts as a kind of seasonal glue, sticking the whole mass together. The question is: does this frozen-together mass actually hold the glacier back, like a tiny ice shelf? Or is it more like a pile of rubble that the glacier shoves ahead of it with barely any resistance?

Iceberg melange in front of Melville glacier, with ridges and fractures in the sea ice forming as the glacier pushes through the winter.

The scientific community has been somewhat split on this. Some studies point to mélange as a mechanical inhibitor of calving — the idea being that calving only really kicks off once the mélange weakens or disappears. Others find the buttressing effect is limited, or depends heavily on whether landfast sea ice is present to bond the icebergs together. Most of the attention has been on the big, famous glaciers like Jakobshavn Isbræ and Helheim, which are enormous, fast-flowing, and in long narrow fjords. But what about the smaller, more typical glaciers that make up the majority of Greenland’s calving outlets?

That’s where Inglefield Fjord comes in.

The study site

We focused on three neighbouring glaciers at the head of Inglefield Bredning (Kangerlussuaq) in Northwest Greenland, at about 77.6°N: Tracy, Farquhar, and Melville glaciers. They’re a nice set because they’re different sizes — Tracy is the biggest at about 223 km², Melville is 119 km², and Farquhar is the smallest at 54 km² — and they’ve all been retreating at different rates over the last few decades. Tracy has been the fastest, retreating at about 200 m per year since the 1980s, twice as fast as Farquhar. Melville has been the slowest.

The area is also, crucially, accessible. The nearby town of Qaanaaq and the DMI field station there meant we could get out onto the sea ice by dog sled in late winter, working with local hunters and fishers who know the ice and the fjord far better than we ever will. This is something I want to emphasise, as I have before: this kind of science is a team sport, and the local community in Qaanaaq are absolutely essential to it.

What we did

The core of the study is a set of GNSS-tracking buoys that we deployed directly into the mélange zone, drilling holes in the sea ice and dropping them in. They recorded their position every 10 to 30 minutes and transmitted it back to us via the Iridium satellite network. When the sea ice broke up in July, the buoys floated free and were recovered by boat — again, thanks to our friends in Qaanaaq — and redeployed the following year.

We used two types of buoy: the TRUSTED buoys, which are a proprietary system from a Danish company (very robust as demonstrated by the incredible twists the metal stakes had from being over ridden by icebergs, a long battery life, but unfortunately rather limited position precision), and the OMB buoys, which are open-source instruments that we could customise to record more frequently, though they unfortunately proved a bit more vulnerable in this environment. Both have their strengths, and using both gave us a nice combination of reliability and detail. Not in the paper but deployed this year was even a third type – so watch out for more coming from this programme…

In March 2022 we deployed 6 buoys at Tracy and Farquhar. In March 2023 we deployed 8 buoys (6 TRUSTED and 2 OMB) across all three glaciers. The buoys tracked the mélange from late winter through to the break-up in mid-July, giving us a continuous, high-resolution record of how the mélange was moving — something that satellites alone can’t provide at this temporal frequency.

On top of the buoy data, we used quite a few other techniques to build a story.

  • Satellite imagery from ESA’s Sentinel-1 (radar, works in the dark and through clouds) and Sentinel-2 and Landsat (optical) to track calving front positions and identify calving events. We used a deep learning dataset from our co-author Erik Loebel to automatically extract calving front positions, but we also spent a lot of time manually checking satellite images because, frankly, the automated method sometimes confused the mélange edge with the glacier front, on the other hand our results independently confirmed that on a seasonal scale, the machine learning calving front detection actually works quite well!
  • Ice velocity data from our colleagues at PROMICE, again using ESA’s Sentinel-1 product, which (handily for us) isn’t masked to the ice sheet only, so it includes velocities from the mélange zone too.
  • Climate data from CARRA (the Copernicus Arctic Regional Reanalysis, a very cool 2.5 km resolution climate reanalysis for the Arctic) for winds, and our trusty HIRHAM5 regional climate model for surface melt and runoff timing.

The idea was to bring all these different datasets together and see how calving, mélange movement, glacier velocity, sea ice, and surface mass budget all interact over the course of a season.

What we found

I’ll try to keep this readable, but there’s quite a lot of detail in the paper for those who want it, so here are our key findings

1. The mélange moves steadily — with sudden jumps

The buoys showed the mélange creeping slowly but continuously away from the glacier fronts, at speeds of roughly 2–11 metres per day, punctuated by occasional abrupt jumps. These jumps were larger and more frequent closer to the glacier fronts, and the larger Tracy glacier had more influence on mélange velocity than the other two. This fits with the idea of the glacier pushing the mélange down-fjord, like a slow-motion conveyor belt but with the rigid land fast ice causing resistance that abruptly fractures.

Velocity from the GNSS buoys at the top, compared with the satellite data at the bottom. The overpass and processing frequency of the satellite data smooths the velocities measured by the GNSS buoys.

2. Calving happens even in deep winter

This was perhaps the most striking result. We observed large calving events at the peak of the fast ice season — in other words, when the landfast sea ice was at its thickest and most extensive, and the mélange was fully frozen together. Neither the landfast ice nor the mélange fully suppressed calving. This challenges the idea that mélange acts as a simple mechanical brake.

Calving front time series at the central flow line at (a) Tracy glacier, (b) Farquhar glacier and (c) Melville glacier for 2022 and
2023. Calving front positions are marked with black dots, and solid gray lines connect entries for each year. Red and blue backgrounds
symbolise positive and negative temperatures, respectively, based on 2m air temperature data from CARRA at 12:00UTC and the dashed
vertical lines represent sea ice break-up dates for the two years in question, 16 July 2022 and 25 July 2023, identified from changes in buoy
movements and examination of optical satellite imagery. (Loebel et al., 2023).

3. No tidal signal in the mélange

Inspired by this paper, we did a spectral analysis of the high-resolution OMB buoy data to look for tidal or diurnal cycles in the mélange movement. We found none. In fact we found something even a bit more interesting that – we had one buoy that seemed to show some kind of diurnal periodicity, but very complete spectral analysis found no tidal signal at all. We concluded the periodicity relates to the GNSS signal itself – a warning to analyse full all your data and consider other hypotheses as well as the favourite one!

The mélange during the fast ice season appears to be driven almost entirely by the glacier pushing from behind and perhaps by wind forcing, not by tides. This is interesting because tides are sometimes invoked as a driver of calving events via the melange, but at least at these glaciers during the fast ice season, we see no evidence of it.

4. Unbonded mélange doesn’t do much — it’s the landfast ice that matters – but only in winter

This is probably the key finding. When the mélange is just a loose jumble of icebergs (as it is in summer, after the sea ice has broken up), it has very little influence on glacier velocity or calving rates. It’s only when the individual ice blocks are frozen into a matrix of land fast sea ice — losing their “granular material” properties and becoming more like a rigid, multi-year sea ice cover — that they appear to exert any kind of braking effect. And even then, that effect is limited.

5. It’s a combination of factors

Putting it all together, our conclusion is that at these representative small and medium-sized Greenland outlet glaciers, seasonal calving behaviour is modulated by a combination of surface melt, glacier velocity, and the presence of landfast sea ice that bonds the mélange. It’s not one thing — it’s the interplay of several, and the landfast ice acts more to delay the removal of mélange than to prevent calving outright.

Why does this matter?

Calving processes account for roughly half of the total mass loss from the Greenland ice sheet, yet they remain poorly represented in ice sheet models. It’s something I’ve been working on since my PhD. If we can’t model calving properly, we can’t project future sea level rise properly — and for a country like Denmark, that’s a rather existential question.

Most previous mélange studies have focused on the big, dramatic glaciers. Our study suggests that at the more typical, smaller glaciers that make up the bulk of Greenland’s calving outlets, the story is more nuanced. Mélange buttressing isn’t a simple on/off switch. It depends on whether the icebergs are bonded together by landfast sea ice, and even then, the effect is modest. Surface melt and glacier dynamics seem to matter more and these are all inter-realted processes, typically the air temperature gets warmer, the ice surface starts to melt, the glacier starts to accelerate and the sea ice gets weaker and thinner all at the same time. We have confounding variables which makes the picture difficult to disentangle.

We also hope the dataset we’ve collected — the in-situ buoy tracks, the satellite-derived calving fronts, the velocity comparisons — will be useful for other groups working on modelling mélange processes. There’s very little in situ data across seasons with this kind of temporal resolution, and we’d be delighted if others can use it to test and improve their models.

Some Criticisms… and what’s next?

We had a very excellent editor and really good reviewers who gave the paper a through filleting. You can see these online as the Cryosphere has open review. I thank them all for their good comments which certainly clarified the paper. The main criticism that may still be levelled is what about the melange thickness? Maybe these glaciers don’t see an effect because the melange is thin and weak? Well we do go into that in the paper. These are pretty representative glaciers for Greenland by any measure and perhaps the glaciologists view of melange processes is slightly skewed by all the studies at Jakobshavn/Sermeq Kujalleq and Helheim? However, when you stand in the melange zone, it becomes very clear just how heterogenous it is. The large icebergs make up a relatively small portion of the total area, so current models, using “melange thickness” as a tuning parameter are missing some subtlty, which probably turns out to be important in this subject area.

And there’ll definitely be more on melange dimensions and how that relates to buttressing, coming very soon!

UAV shot of a sea ice lead in the melange zone of Tracy glacier, 2023

Acknowledgements

This paper was led by Sofie Hedetoft and Olivia Bang Brinck, who share first authorship with me and who did the lion’s share of the analysis and making of the figures. It’s been a real pleasure working with them and we would certainly not have got very far the rest of the team: Andrea Gierisch and Steffen Malskær Olsen, who were fantastic field work colleagues and a great inspiration for the ideas in this paper, Martin Olesen and Nicolaj Hansen for climate and SMB insights, Anders Anker Bjørk for finding our marvellous students and offering great advice on ice velocioty products, Erik Loebel for the automated calving front analysis, Anne Solgaard for the satellite data processing and assistance in interpretation and Peter Thejll whose expertise in statistics and spectral analysis is unrivalled.

As ever, none of this would have been possible without the local community in Qaanaaq — the hunters and fishers who guided us, transported us by dog sled, helped install instruments and recovered our buoys by boat when the ice broke up. Our DMI colleague Aksel Ascanius, who lives and works in Qaanaaq, has been an essential part of the programme throughout.

The work was carried out under the auspices of the Danish National Centre for Climate Research (NCKF), funded by the Danish Government, with additional contributions from EU Horizon Europe frameworks and ESA’s Climate Change Initiative for the Greenland ice sheet.

The full paper is open access — please go and read it, and do get in touch if you have questions or comments. I’m always happy to hear from people, whether on here, on mastodon, or by email.

Hedetoft, S., Bang Brinck, O., Mottram, R., et al. (2026). Mélange, landfast sea ice, ice velocities: What controls seasonal calving rates in North West Greenland? The Cryosphere, 20, 5071–5098. https://doi.org/10.5194/tc-20-5071-2026

Greenland thoughts from Antarctica..

I’m in Antarctica and yet I have been getting contact from journalists because Greenland is all over the press at the moment for all the wrong reasons. It’s reasonable I think to worry about what the various deranged threats towards Greenland will mean for us all also outside of Greenland. But I also think about (and yes, worry) about the friends I’ve made in Greenland over the years. Let’s hope common sense prevails and we can step back from the brink, and concentrate on the really long term problems that we are still rapidly storing up for ourselves.

Greenland is also on my mind, not just because of geopolitics, but also because the Copernicus Climate service has just put out their annual global climate highlights* for 2025 report with some disturbing results from Antarctica.

A few months ago we had a paper published called the Greenlandification of Antarctica, in which we argue that the changes in the Antarctic cryosphere increasingly resemble those we have previously observed in Greenland and the Arctic. To see the future of Antarctica, look at Greenland.

It’s been a busy time preparing for fieldwork and I didn’t manage to write anything here about it at the time, but this few eye-opening figure rather supports some of our arguments.

In this graphic, the 2025 temperature over the Antarctic region was 1.06°C higher than the average between 1991 and 2020 (a temperature anomaly). This is actually higher than any other region except the Arctic, where the temperature anomaly was reported to be 1.37°C above the 30 year average (bear in mind also that between 1991 and 2020, the temperature was also much increasing, so we’re not comparing with a pre-industrial climate here). Polar amplification was predicted long ago and as those first experiments found, it also is seen more in the Arctic than the Antarctic – but these results are a first hint of the amplification that is perhaps appearing now and may come to stay in the Antarctic.

In our paper we show the figure below (many thanks to illustrator Jagoba Malumbres-Olarta for the fine work), which shows five different cryosphere properties that are changing: 1) shrinking sea ice, 2) glacier velocities that show a seasonal cycle (mostly detected on the peninsula so far, though there are indications that Totten glacier for example has some kind of seasonal cycle, possibly modulated by sea ice), 3) total ice sheet mass loss, 4) ice shelf area and 5) annual mean surface temperature. In virtually all, the changes look very similar between Greenland and Antarctica, but with the crucial difference that the speed of changes is so far faster and more advanced in Greenland.

From Mottram et al., 2025: The Greenlandification of Antarctica. Original caption:
a, Commonalities include decline in sea ice extent from 1980 to 20232, with notable step-like changes in both poles. b, Seasonal glacier velocities are shown for two representative marine terminating glaciers, Kangilernata Sermia in Greenland13 and Hotine Glacier on the AP9, both now displaying similar seasonal dynamics. c, Both ice sheets show an accelerating total mass loss measured by GRACE satellites8d, Multi-sensor records of ice shelf area loss in Antarctica11 show a steeper decline than Greenland7 as Arctic ice shelves were largely lost in the pre-satellite era. e, Satellite records of annual mean ice sheet surface (skin) temperature for 1982 to 2021 from radiation data in the CLARA-A2.1 record processed by OSISAF2 over both ice sheets. Earth observation data allows us to generalize over the vast size and spatially varying trends of the ice sheets, where there is generally poor coverage of in situ data. Individual weather stations indicate warming trends in air temperatures over both ice sheets of ~0.61 °C per decade at the South Pole and ~1.7 °C per decade at Greenland coastal stations. Illustration by Jagoba Malumbres-Olarte

The latter surface temperature plot is not the same as the Copernicus 2m air temperature which is based on the ERA5 reanalysis (so a blending of computer model with observations from satellites, weather stations, balloons, ships, planes etc). In our paper we wanted to focus on the contribution that satellite data has brought as we simply have so few direct in situ observations, so we used skin or surface temperature which is measured from satellites. It’s a somewhat theoretical construct, imagine a very thin surface (hence skin) layer, where incoming and outgoing energy are summed up to give a temperature. This is calculated over both ice sheets and sea surface by our colleagues in the satellite group at DMI and this is the dataset we used here. Their results which stretch back to the 1980s show a slow upward trend in Antarctica and a steeper change in Greenland, the record stopped in 2021 in our paper but it actually shows an upward increase since and that’s also borne out by the Copernicus results. In climate and weather models we in fact first calculate the skin temperature and then back interpolate to 2m temperature, so the two are very closely related.

To check that the satellite skin temperature record was accurate, I also looked at some of the longer in situ records, the South pole station for example has a long record and shows a small increasing trend over the last 30 years or so (which also may be attributable to natural causes, it is hard to pick out the global warming trend). Analysis of the record also shows that it is largely due to decreasing cold extremes rather than necessarily higher warm extremes. Again, a pattern we also observe in the Arctic.

Shallow snow cores drilled near Wasa, the clear layers are refrozen surface melt that has percolated into the snow below the surface. I was genuinely not expecting to see these, and it’s not always captured in the satellite record either, so we clearly have work to do to explain some of these findings.

The analogy is not exact. As a continent, Antarctica is much further south than Greenland is to the north and it is much more insulated from warming by the circumpolar ocean than the Greenland ice sheet, sticking out in the middle of the Atlantic is. In a very real sense then, geography is destiny. Surface melt, which is also not nearly as common here in Antarctica mostly refreezes in the snowpack, whereas in the lower parts of Greenland it generally runs off and contributes directly to sea level rise. That has not yet become a major process in Antarctica, it’s still colder here and there is less surface melt for now, although from our own observations in the field, much more than I’d expected. Surface melt is definitely something we need to keep an eye on and some of our observations show how tricky that is, especially given disagreements between satellite sensors on this point .

But these are all details, the point is that Antarctica is also part of the global climate system and the same processes we’ve been observing for more than three decades in Greenland are now also starting to become apparent here too.

In one other respect Antarctica is becoming more similar to Greenland – it is becoming more contested. The Treaty that has governed Antarctica is vulnerable and subject to the same weakening of the global order that is now playing out in the North.

Let’s hope that geopolitics can settle down soon so that we can start to tackle the more serious and longer term crises coming down the line.

Lifted with thanks from Mackay Cartoons

*I’m not sure “highlights” is quite the right word either – maybe “lowlights” would be better, but then it also starts to sound like a report on hairstyles…

Back at Basen*

LISA is alive! Kind of. We had a really good field test of the system in this, our first week in Antarctica (though thank goodness for satellite wifi connection** to the rest of the world so LISA’s genius creator Helle Kjær could assist in troubleshooting). It was a bit of a struggle and I would say we came out partial winners, with a much deeper understanding of how the box is actually put together and more importantly some really interesting data (yay!) that Clement is busy processing already – I’m very excited to see how it turns out as it will help to direct our following field sorties.

This is the first field deployment of LISA in Antarctica, and even if she didn’t give up all the secrets of the snow, it’s still an achievement worth celebrating that we got half of it, and an interesting half too.

We chose a coring site around 60km from Wasa, so it was a long slow snow-scooter tour up Plogbreen (the plough glacier – named after our neighbouring nunatak Plogen, the plough) and on to the flat plateau of Ritscher Flya at about 1000m elevation.

Wind sculpts snow into ridges called sastrugi. We had quite a bit of fresh snow at this site while we were there. Sometimes it’s hard to work out where the snow surface actually is.

It was a pretty wind and snowy site, in a katabatic wind zone (thankfully not too strong on this trip), which was intentional, as one of the aims of our study is the effects of strong winds on snow accumulation. As preparing to leave took most of the day (especially doing the chemistry mixes for LISA), we headed up in the afternoon and then stayed out overnight in these fantastic little cabins on skis.

Our field camp: sledge full of equipment, the blue cabin on a sledge (an ark) is one of our living quarters and the pyramid shaped, orange Scott tent is our bathroom.

The Polar Research institute in Sweden calls them arks and they are really a very nice solution to the problem of cold and wind and trying to work in quite extreme conditions. Pulled by a snow-scooter and with a stove inside for melting snow and heating, they’re really very cosy to sleep in and it makes a big difference to be able to warm up when for example you’ve been sitting in a snow pit at -15C with a hefty wind chill on top and are covered in spin drift snow (as me how I know).

We were greeted by this beautiful halo around the sun upon waking, with sun dogs on either side, caused by the ice crystals in the sky. In fact we nick-named the site diamond dust because of the clear sky precipitation on the first morning.

We soon got into a good rhythm with Henrik driving the coring, Clement logging and Ninis and myself assisting with the cores.

Starting the first core, (l to r the rest of the field team, Henrik, Clement and Ninis)

And then it was time to get LISA going and a very long and slightly frustrating day followed. Thankfully, by bedtime and having reconstructed quite a lot of the inner tubing of the box, we got LISA ready for work the next day.

The LISA box with melting ice core on top and computer recording the data as it appears. The pop-up fishing tent was essential for working at this site in the cold winds. Without wind chill it was around -10C outside, preventing ice crystals from forming in the chemistry lines and reagents is also a concern, but the arks also simplify things.

I dug a snow pit – always one of my favourite activities, it’s good to get your hands in the snow and really feel what is going on, and we identified some really intriguing layers. Lots more work to be done there to work out what is going on.

As added entertainment, Ninis was interviewed live from the top of the ice sheet by Swedish TV live from the fieldcamp (check out God Morgon Sverige on TV4, 23rd December if you’re interested). However, after 2 nights out it was time to pack up and head back, 3 cores worth of data richer, for a shower, laundry and a Christmas Eve day off.

On Christmas eve daytime it was my turn with a brief 2 minutes to explain our project on Danish TV2 news (at 12.15 CET in case you have an account and would like to see me looking wind swept). Juleaften, Christmas Eve, is the big day of celebration in the Nordic countries, so we took an almost day off, doing some washing, cleaning the living modules and enjoying plenty of good food courtesy of the Swedish chef Raymond who prepared a Christmas dinner feast later, perfect after a long Christmas hike over the nunatak.

Field Photos

Given the current state of the US administration I think it’s worth thinking about what services we use, to become less dependent on US tech and social media companies. Therefore, I’m sharing photos over on pixelfed while we’re out here, in case you want to see more field photos, though sharing is a bit intermittent as it depends on the internet link and due to the expense of the data, we’re trying not to use too much.

I am also posting over on blue sky, though there is much that makes me uneasy about that platform, so I will keep posting on the fediscience server on mastodon too (and indeed the quality of interaction is often better there strangely, given I feel that the platform is smaller than blue sky).

*The Swedish research station Wasa is located on a nunatak in Antarctica called Basen (it’s pronounced Baasen, like the sound a sheep makes in english)

**Yes we are on starlink. It’s incredibly impressive performance wise, but I’d rather not be supporting the nazi man-child, the sooner Eutel Oneweb makes an alternative for users like us, the better, though preferably without this polluting a footprint in low earth orbit. In fact if any EUTEL folks are reading this, I’d be delighted to test out a lightweight system for polar field scientists for you 🙂

Screenshot from satellitemap.space showing the position of the tens of thousands of starlink satellites currently orbiting earth. Check out their visualiser to see other satellites!

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

Honorarily Professing

Most people outside of Denmark know about hygge these days, but the term janteloven is less familiar. For British readers the most appropriate translation would be tall poppy syndrome.

Anyway, I’ve hesitated a bit to write this post a bit, but at the same time I am delighted and proud and actually a bit surprised to have been awarded an honorary Professorship at Aarhus University.

As a first generation academic, I didn’t know what a PhD was when I started university, so it feels like a big thing and a bit unreal. My employers at DMI have announced it (with a truly terrible fieldwork photo of me looking very windswept), so it must be true now I guess?!

My very kind and extremely smart former boss at DMI, Professor Peter Langen, now leads the Environmental Science Department at Aarhus University (actually based at Risø near Roskilde and not in Aarhus). He put me and my amazing and very talented colleague Shuting Yang forward to the University for this honour earlier this year and we heard just before the summer break it had been accepted.

It’s a purely honorary position, so I don’t get paid by the University, on the other hand it doesn’t come with any obligations either and it lasts for 5 years. I’m hopeful though that it will lead to new and exciting collaborations and maybe even new studentships and other programmes. I’ve always enjoyed working with students, so if you’re at Aarhus University and looking for a thesis supervisor working on polar climaet and ice sheets, give me a shout.

I already co-supervise one PhD with the Environmental Science department and I’m extremely impressed with the calibre of research there. The universe moving, as it does, in mysterious ways, a few days ago we also got good news about Horizon Europe funding that will also facilitate closer working with AU so watch this space for more on that front.

Now I guess it’s time to start thinking about an inaugural lecture or something and I’m looking forward to exploring the rather beautiful fjordside campus of Risø when I get chance.

The Risø campus of Aarhus University shared with DTU and various other green energy related companies. Picture shamelessly lifted from Risø gateway

PROTECT: The Sea Level Rise Question

There is currently some discussion in the Danish media about sea level rise hazards and the risk of rapid changes that may or may not be on the horizon. Some of the discussion is about IPCC estimates. That’s a little unfortunate and in fact a bit unfair as the IPCC report has not been updated since 2021, nor was it intended to have been. In the mean time there has been a lot of additional science to clear up some of the ambiguities and questions left from the last report.

I’ve been working quite a bit on the cryosphere part of the sea level question of late, so thought I’d share some insights from the latest research into the debate at this point. And I have a pretty specific viewpoint here, because I’ve been working with the datasets, models, climate outputs etc that will likely go into the next IPCC report as part of a couple of EU funded projects. As part of that, we have prepared a policy briefing that will be presented to the European Parliament in June this year, but it’s already online now and will no doubt cross your socials later this week. I’m going to put in some highlights into this post too.

Now, I want to be really clear that everything I say in this post can be backed up with peer reviewed science, most of which has been published in the last 2 to 3 years. Let’s start with the summary:.:

  • The sea is rising. And the rate of rise is currently accelerating.
  • The sea will continue to rise long into the future. The rate of that sea level rise is largely in our society’s hands, given that it is strongly related to greenhouse gas emissions.
  • We have already committed to at least 2m of sea level rise by 2300.
  • By the end of 2100 most small glaciers and ice caps will be gone, mountain glaciers will contribute 20-24% of total sea-level rise under varying emission scenarios.
  • Antarctic and Greenland ice sheet mass loss will contribute significantly to sea-level rise for centuries, even under low emissions scenarios
  • Abrupt sea level rise on the order of metres in a few decades is not credible given new understanding of key ice fracture and iceberg calving processes.
  • By the end of this century we expect on the order of a half to one metre of sea level rise around Denmark, depending on emissions pathway. (If you want to get really specific: the low-likelihood high impact sea level rise scenario corresponds to about 0.9 m (on average), or at the 83rd percentile, about 1.6 m of sea level rise).
  • Your local sea level rise is not the same as the global average and some areas, primarily those at lower latitudes will experience higher total sea level rise and earlier than in regions at higher latitudes.
  • We have created a local sea level rise tool. You should still check your local coastal services provider, they will certainly have something tailor made for your local coastline (or they *should*!), but for something more updated than the IPCC, with latest SLR data, this is the one to check.

Sea level rise now is ~5mm per year averaged over the last 5 years, 10 years ago it was about 3 mm per year). Much of that sea level rise comes from melting ice, particularly the small glaciers and ice caps that are melting very fast indeed right now. Even under lower levels of emissions, those losses will increase. There won’t be many left by the end of this century.

Greenland is the largest single contributor and adds just less than a millimetre of sea level rise per year, with Antarctica contributing around a third of Greenland, primarily from the Amundsen Sea sector. The remaining sea level rise comes from thermal expansion of the oceans. Our work shows very clearly that the emissions pathway we follow as a human society will determine the ultimate sea level rise, but also how fast that will be achieved. The less we burn, the lower and slower the rise. But even under a low-end Paris scenario, we expect around 1 metre of sea level by 2300.

The long tail of sea level rise will come from Antarctica, where the ocean is accelerating melt of, in particular, West Antarctica. However, our recent work and that of other ice sheet groups shows that the risk of multi-metre sea level rise within a few decades is unrealistic. Again, to be very clear: We can’t rule out multiple metres of sea level rise, but it will happen on a timescale of centuries rather than years. High emissions pathways make multiple metres of sea level rise more likely. In fact, our results show that even under low emissions pathways, we may still be committed to losing some parts of especially West Antarctica, but it will still take a long-time for the Antarctic ice sheet to disintegrate. We have time to prepare our coastlines.

Greenland is losing ice much faster than Antarctica, and here atmospheric processes and firn and snow are more important than the ocean and these are also where the læarge uncertainties are. As I’ve written about before, that protective layer of compressed snow and ice will determine how quickly Greenland melts, as it is lost, the ice sheet will accelerate it’s contribution to sea level. This is a process that is included in our estimates.

There’s so much more I could write, but that’s supposed to be the high level summary. Feel free to shoot me questions in the comment feeds. I’ll do my best to answer them.

Five years ago, a small group of European scientists got together to do something really ambitious: work out how quickly and how far the sea will rise, both locally and on average worldwide, from the melting of glaciers and ice sheets. The PROTECT project was the first EU funded project in 10 years to really grapple with the state-of-the-art in ice sheet and glacier melt and the implications for sea level rise and to really seek to understand what is the problem, what are the uncertainties, what can we do about it.

We were and are a group of climate scientists, glaciologists, remote sensors, ice sheet modellers, atmospheric and ocean physicists, professors, statisticians, students, coastal adaptation specialists, social scientists and geodesists, stakeholders and policymakers. We’ve produced more than 155 scientific papers in the last 5 years (with more on the way) and now our findings are summarised in our new policy briefing for the European Parliament.

It’s been a formative, exhilarating and occasionally tough experience doing big science in the Horizon 2020 framework, but we’ve genuinely made some big steps forward, including new estimates of rates of ice sheet and glacier loss, a better understanding of some key processes, particularly calving and the influence of the ocean on the loss of ice shelves. More importantly for human societies, by integrating the social scientists into the project, we have had a very clear focus on how to consider sea level rise, not just as a scientific ice sheet process problem, but also how to integrate the findings into usable and workable information. In Denmark, we will start to use these inputs already in updating the Danish Climate Atlas. If you are elsewhere in the world, you may want to check out our sea level rise tool, that shows how the emissions pathway we follow, will affect your local sea level rise.

Our final recommendations?

  1. Accelerate emission reductions to follow the lower emission scenario to limit
    cryosphere loss and associated sea-level rise
  2. Enhance monitoring of glaciers and ice sheets to refine models and predictions
  3. Support the long-term development of ice sheet models, their integration into
    climate models, and the coupling of glacier models with hydrological models, while
    promoting education and training to build expertise in these areas
  4. Invest in flexible and localized coastal management that incorporates
    uncertainty and long-term projections
  5. Foster international collaboration to share knowledge, resources, and strategies
    for mitigating and adapting to global impacts

Looking backwards…

This is the first in a two-parter. At this time of year, posts making bold statements about what happened last year and what we plan to do this year start to become prominent. The last few years I have spent a few hours in the first week of January reviewing what worked, what was fun and what was cool, what was awful and what definitely was a waste of time. I’m not honestly sure that any of this is of interest to anyone except me, so read on, but you have been warned..

2024: Themes of this year: Greenland, Machine Learning, people, and big data…

I visited the world’s largest island 3 times this year – a rather unprecedented number of times for me, with fieldwork in April (it was very cold and there was a lot of snow) to continue a soon to be submitted for publication set of observations in the melange zone and then to establish a new snow observation site.

View from Qaanaaq at evening in early April 2024.

In late May and early June, after a slightly longer than expected stop in Ilulissat, we made it to bring in the instruments before the sea ice break-up and happily my new snow observations seem to be working. Now I just need to do set-up the data processing chain, which will be 2025’s paying myself first.

Working with scientists from the Greenland natural resources institute and local hunters on the sea ice.

The final trip was in October for a workshop with scientists in Greenland about climate change impacts in Greenland, the subpolar gyre and AMOC for the UN Ocean decade. It was a memorable meeting for the sheer range and quality of science presented as well as for being stranded in Nuuk by a broken aeroplane in quite ridiculously beautiful weather (I mostly stayed in my hotel room to write the aforementioned paper, sadly. In 2025 I will work on my priorities) .

Apart from fieldwork I have really tried hard on publications this year. I have (like many scientists I suspect), far more data sitting around on hard drives than I have published. It’s a waste and it’s also fun to work on actual data instead of endless emails. This is something I intend to continue focusing on the next few years as well. There is gold in them thar computers…

We had a couple of writing retreats were very successful. These I plan to continue also and the PRECISE project grant is happily flexible enough to do this. I probably achieve as much in terms of data processing and paper writing in 3 focused days as I would in 3 months in the office. It paid off too. I managed to co-author 8 papers published this year (including my first 1st-author paper in ages – a workshop report, but nevertheless it counts.). Some of these are still preprints, so will change, and there are a couple more that have been submitted but are not yet available as preprints. I will submit two more papers in the next 3 weeks as well (1 first author), so January 2025 is going to be the 13th month of 2024 in my mind.

Bootcamps have been a theme the last 3 years, I organised the first in 2022 and so far there have been 4 publications from that first effort. There was another this year in June, ( I have attended them in 2023 and 2024 but was not organising) where we really got going on a project for ESA that I have had my eye on for a while – I hope the publication from that will be ready in the Spring this coming year.

Machine Learning: This was the year I really got machine learning. I’ve been following a graduate course online, and learning from my colleagues and students about implementations. I understand a lot more about the architecture and how to in practice apply neural networks and other techniques like random forests now. This is not before time, as we intend to implement these to contribute to CMIP7 and the next IPCC report. We still have a lot of work to do, but the foundation is laid. And it’s been fun to learn something that, if not exactly new, is a new application of something. In fact the biggest barrier has really been learning new terminology. We have also been fortunate that Eumetsat and the ECMWF have been very helpful in providing us with ML-optimised computer resources to test much of these new models out on. We’re actually running out of resources a bit though, so it’s time to start investigating Lumi, Leonardo and the new Danish centre Gefion to see what we can get out of these.

People: This year our research group has grown with another 2 PhD students, and at the end of the year we also employed a new post-doc. I think it’s large enough now. I’m very aware that if I don’t do my job properly, then not only the research but the people will suffer, so developing people management skills is really important. In any case it’s extremely stimulating to work with such talented young people and I’m really excited to see where the science will take us, given the skills in the team. I hope I have been good enough at managing such a large and young team, but I have my doubts. A focus for 2025 for sure.

Data: This has been the year of big data, not necessarily just for ML purposes but also in the PolarRES project the production and management of an enormous set of future climate projections at very high resolution. More on this anon. Suffice to say, it has taken a lot of my time and mental energy and it’s probably not the most exciting thing to talk about, but we now have 800 Tb of climate simulation data to dig into. I suspect that rewards of this will be coming for years. There has also been a lot of digging into satellite datasets and the bringing together of the two has been very rewarding already. It’s a rich seam, to continue the metaphor, that will be producing scientific gold for many years.

Projects: we have gone in the final year of two projects, PROTECT and PolarRES, both of which will finally end in 2025. We also arrived at the half way point of OCEAN:ICE. So rather than being a year of starts, it has been a year where we have started to prepare for endings – actually this is a fun part of many projects where a lot of the grunt work is out the way and we can start to see what we have actually found out. It can also be a slog of confusing data, writing and editing papers and dealing with h co-author comments. I’ve definitely been in that process this year, hopefully with some of the outputs to come next year…

Proposals: I started 2024 writing a proposal. Colleagues were in 3 different consortia for the same call, alas ours didn’t get funded, but 2 of the others did and will start this year. That is a good result for DMI and our group. I wrote another proposal in the Autumn and contributed to a 4th and finally at the end of the year I heard that both will *likely* be funded (but are currently embargoed and in negotiation, so no more will be said now). It sometimes feels that spending so much time and energy on proposal writing is putting the cart before the horse, but in fact I find proposal writing something akin to brainstorming. It’s essential of course to ensure we can continue to do the science we want, but it can also help us to clarify our ideas and make sure we’re not on the wrong track. It’s also a good way to keep track of what the funders are actually wanting to know and to help us focus on policy relevance.

There was also an incredible number of meetings, reports, milestones and deliverables, but you probably don’t want to hear about that…

Also missing from this summary is personal life, and, well that is not for sharing publically, but suffice to say, I learnt about raising teenagers, I also had some very good times with friends and family, to all of whom I immensely grateful for being a part of my voyages around the sun.

Anyway, reading all that back, I’m not surprised I ended the year exhausted! I am not planning on quite such a slog in future. I should probably pace myself a bit more this year, the plans for which will be the subject of next week’s post.

Paying yourself first..

The personal finance community have an important concept of “paying yourself first”*, by which they mean, that when your salary or other form of payment comes in, the first thing you should do is put a given percentage, 10% is commonly used, into a savings account. Only then should you consider spending the rest of your income.

I kind of like this as a concept, and I think it could very usefully be applied to other areas of my life, notably, which is where of course it comes into this blog, science. As I’ve got more senior I’ve found I’m spending more and more time on managerial tasks, meetings, emails, reports, proposals, supervision and less and less on actual science. This is probably fine, it’s the way of the world, but it’s also a pity when part of (most of?) the joy of science is really in the doing. That’s why we put up with paltry wages, high workloads, social media hostility and the rest.

Actually doing science is so much fun.

Admittedly, some of it is more type 2 fun (best enjoyed retrospectively, as anyone who has spent a month CMORising model output or digging snow pits in freezing driving snow conditions can tell you), than type 1 fun (enjoyed in the moment). Nonetheless, I occasionally feel I’m in danger of losing the thread of why I started in this career in the first place.

Type 2 fun: It took us 4 hours to locate and dig that lot out in wind and occasional blizzard conditions.

Autumn was absolutely and ridiculously hectic, many project meetings, as well as technical conferences and symposia, proposal deadlines, deliverable deadlines and one-off workshops. I welcome November with open arms. Finally time to do some actual work again! And in the way of paying myself forward, I have started two different but related tracks to get back into the groove this month.

The first, #30DayMapChallenge you can already see some entries for here on a dedicated page. The idea is a new map, according to the prompts from the website 30DayMapChallenge , every day. I’m certainly not going to make all 30. I will be doing well if I manage 10, but already after only 2 days, I can feel my geospatial mojo coming back. There’s nothing like practicing your GIS skills to make you want to do more of them

The second is #AcWriMo, academic writing month. I have 3 papers I’d really like to submit before the end of this year. I’m very close with one, fairly close with the second and to be entirely honest I’m not really sure where I am with the third… Now it may seem unwise to commit to 2 daily activities in November, while recovering from September and October, but in fact they’re pretty complementary. I plan to post maps that are relevant to, or even actually from the papers, and just the process of looking at data is a motivation to get the work done.

So my commitment to #AcWriMo is:

  1. I will have the first 2 papers submitted by end November
  2. I will write at least 20 minutes per day – every day!
  3. I will write at least 8 hours per week
  4. I will rediscover the joy of science.

Let’s call it paying myself first…

*Far be it from me to offer financial advice, but if I was a young graduate student, I’d be saving up pretty hard on whatever meagre wages I have. The research field can be fickle with contracts, even permanent jobs have to continue raising money and we can’t keep up the pace for ever. Nonetheless, I wouldn’t swap it for another job…

A Climate Atlas is discovered..

This post is in response to a thread posted on blue sky* by Jeremy Bassis and a discussion between Felicity mcCormack and Gavin Schmidt. All these people are well-respected climate scientists and the original thread was posted as a result of a Nature piece about operationalising climate models (and sea level rise), like we forecast the weather. This is something I’ve been thinking about for a while too, as sea level rise is an undeniable existential threat to my home country…

Anyway, I replied with a link to the Danish Climate Atlas – which to my mind is very much a model for how climate information should be done. I can’t give a full overview of the Climate Atlas, largely because it’s not my story to tell, but as Jeremy asked me to talk more in depth about it, and given the 300 character limit, I thought I’d formulate a few thoughts here first before sharing…

The climate atlas is not a book but a web frontpage that allows anyone with an internet connection to get high quality climate information at a local scale in Denmark. The map interface makes it easy and intuitive to use, and for detail a whole bunch of reports and datasets in different formats can be downloaded (everything from ASCII to GIS to netcdf). You can explore it here. All the data is given on a kommune (local authority) level except for sea level rise data which is divided up by coastal stretches.

Example of a Climate atlas figure – this is the overview figure, each local authority area is clickable for local information

For audiences that just want a quick message there are these easy to interpret icons with a key message below, like this one about higher water levels.

I was involved in the early stages and to my mind there are 4 crucial elements that have made it very successful:

  1. Legal Requirement: Every local authority (a kommune, don’t think hippies, think regional councils) in Denmark has a legal obligation to make climate adaptation plans and to keep them updated. This element is important as it created awareness of the problem and effects of climate change and the necessity of investigating adaptation options. The initial plans were rather patchy and not very consistent with each other. Many regions had employed a consultant who was also maybe not an expert. Several kommune ended up with data based on CMIP resolution data! Hardly appropriate for a small local region in Denmark (which is barely resolved in most global climate models).
  2. Data Foundation: At the same time we have been dynamically downscaling these simulations for decades, to provide really high quality locally bias corrected data (using also DMI’s long climatological time series to understand if and where biases exist). Colleagues at DMI identified a need to provide this in an easy to use format to everyone in the country. We had long ago discovered that working with motivated kommune employees led to a really good outcome: readable climate variables that are meaningful to an individual city, data formats that can be used by non-scienists (who definitely can’t deal with netCDFs).
  3. Funding: Doing a data project properly requires money. The Climate Atlas is, compared to the cost of not doing anything, extremely cheap, nonetheless, it still costs something. Ear marked funding from the danish state to build up the Climate Atlas from the ground, to develop it as new needs are identified and to improve both communication and presentation has been crucial. Along the way several different needs have arisen (droughts, deep uncertainty in sea level rise), a new version will hopefully be coming soon.
  4. Intense engagement: Probably the most crucial aspect to getting the climate atlas off the ground and into use has been communication over and over and over again. Not just initially with kommune to find out what they need (building on many years of background experience first), but also reaching out to special interest groups raning from local farmers in mid-west Jylland to sewage engineers, high school teachers and property developers. This continues, but has undeniably been helped by Denmark’s open trusting society and generous tradition of cultural meetings, continuing education and festivals.

The climate atlas in Denmark is the example I know best, we should be rightly proud of the team that constructed, maintain and continue to develop it. Other countries certainly have similar products in the Nordic and Blatic countries, and likely elsewhere, a network meets annually within the region to discuss developments etc. After a coincidental meeting, DMI was also invited to help develop one for Ghana, which is ongoing, and of course, will have completely different needs and requirements, However, the decision early one to base the back end of the Climate Atlas on open tools: python, cdo, github and CORDEX simulations, makes a lot of the learnings transferable.

If you want to know more, contact my colleagues at the Klima Atlas! I’m happy to put you in touch..

*As an aside, it’s interesting how many of the climate science and policy community have moved over to Blue Sky. It was rather quiet for a while but activity seems to have picked up. I’m not abandoning mastodon, which I actually prefer, but I’m happy to see an alternative to what has become known as Birdchan. I’d urge you to try it if you’re interested in a social media presence in a slightly more appealing environment. There are a number of handy tools, including fedica, that allow you to crosspost to multiple channels at the same time (including X, mastodon, bsky, TikTok and threads) and I’m also using the OpenVibe app, which has a common timeline from multiple platforms.

Breaking up is hard to do…

Way back in the mists of time, that is, early April, I and colleagues deployed some instruments on the sea ice in front of a number of glaciers in Northern Greenland, which I wrote a little bit about here.

Trusted global GPS tracker buoy
Open met buoy

Since then I’ve mostly been letting them get on with reporting their data back and occasionally checking on the satellite imagery to see how it’s looking in their surroundings.

It was about -30C and very cold when I left them out, so it’s sometimes quite hard to visualise just how much things will change over only a few months and to remember that at some point, they’ll need collecting

After a fairly melty start (yes, that is actually a technical term) to July, particularly in the northern part of the ice sheet (which you can see on the polarportal, see also below right) it’s time to start anticipating their collection.

We have a lot of advantages when it comes to coordinating this kind of project now, compared to the bad old days when imagery and communication were both scarce and expensive

For starters, there is Sentinel Hub’s EO browser, a course in which should be a requirement for every earth science adjacent subject in my opinion. EO Browser produces superb pre-processed imagery for free, such as this one, from the European Space Agency’s Sentinel-2 satellite yesterday

As you can see, the sea ice is still there but fracturing and patches of open water (in blue green) are now becoming visible.

Sentinel 2 satellite image processed on EO browser showing sea ice and ice bergs in front of Tracy and Farquhar glaciers.

If you’re out and about and only have your phone, there is also the excellent snapplanet.io app on your smartphone, with which you can create instagram ready snapshots of the planet or even animated gifs, with high resolution imagery a link away…

Now that’s what I call a fun social media* application…

Animated gif of satellite images showing the front of Heilprin glacier with icebergs and landfast sea ice.

Anyway, back to the break up. Every year, the sea ice forms in the fjord from October/November onwards, by December it’s often thick enough to travel on and then from April it starts to thin and melt and by late June large cracks are starting to form, allowing the surface meltwater to drain through. For a look at what happens if you get a large amount of melt from, say, a foehn wind, before the cracks start to open up, see this iconic photo taken by my colleague Steffen Olsen in 2019.

An extremely rare event, that nevertheless went viral

The other advantage we have working in this fjord is our collaboration with the local hunters and fishers. In winter they use dog sleds for hunting and accessing fishing sites, and to take us and our equipment out on to the ice. In summer, they are primarily using boats for fishing, hunting narwhal and, hopefully, collecting our equipment! Our brilliant DMI colleague Aksel who lives and works in the local settlement is also a huge help in assisting with communication and generally being able to get hold of things and people when asked.

Winter travel

We offer a reward for each buoy that is found and brought back to our base in Qaanaaq, so many of them in fact make their own way home. But we also work with our friends on a kind of remote treasure hunt, challenge Anneka style, with someone at home watching their positions come in via the satellite transmissions and sending updated information via sms to an iridium phone to the hunters on the boat…

I’m told it’s tremendous fun, with sharp eyes required, as even a bright orange plastic globe can be challenging to spot.

A floating trusted buoy in 2022.

I’ve never participated in this treasure hunt myself sadly, on land we generally see something like a spaghetti of arrows and spots via the Trusted global web api:

GPS positions from a trusted buoy.

We then have to try and superimpose these movements on the latest satellite images to work out if the buoy is floating or not, and then check to see if there is sufficient open water for a collection. Naturally working with local knowledge for this part is also absolutely vital.

One of our buoys is found…

The latest satellite images look like the ice has already broken up into large flakes close to Qaanaaq. I’ve annotated the Sentinel-1 image below as it is from a radar satellite that can see through clouds and the images can be a bit confusing if you’re not used to looking at them.

The scale of the massive melt on the ice sheet from the last few days is clearly visible in the dark grey rim on the glaciers. The open sea water is black and the sea ice shows up as geometric greys. This one is downloaded from the automatic archive my colleagues at DMI maintain around the whole coast of Greenland. It can be a handy quick check too.

Annotated satellite image of Kangerlussuaq/Inglefield Bredning (Gulf of Inglefield) fjord. The orange box shows where our study glaciers are located.

So, although the ice is starting to break up it’s at the tricky stage where it’s far from navigable by dog sled and certainly too difficult for boats, so it’s not quite the time to send out hunting parties for GNSS buoys.

It also means that when I go on holiday next week, I will not be quite leaving all this behind. I and my colleague in this project will be monitoring the movements of the buoys and the satellite pictures, as well as relying on our friends in the local community to let us know how the ice is looking and if they can get out to rescue our brave little sensors.

In the mean time I have plenty of data to start analysing and writing up. As ever massive thanks to the people of Qaanaaq and my cool colleagues for putting up with me and our GPS buoys. We hope to submit our first paper pretty soon..

Hopefully I’ll soon be able to look at a map like this one to see where they are (note that the precision on these buoy positions isn’t great, probabaly because they were thenbeing stored in a metal container).

*Yes, I’m probably a nerd. I’m a lot of fun** at parties too though.

**For a given value of “fun”.