Local sea level rise: A question of gravity

I’ve explained several times in the course of media comments that, when it comes to the sea level rise that you experience, it really matters where the water comes from. This point still seems to cause confusion so I’ve written a super fast post on it.

Waves from the Storm Surge that hit Denmark in October 2023 credit: Sebastian Pelt

We very often talk about a metre or two of sea level rise by the end of the century, but in general that refers to global average sea level. And much like a global mean temperature rise doesn’t tell you very much about the kind of temperature changes you will experience in your location due to weather or climate, global mean sea level is also not very informative when talking about preparing your local community for sea level rise. There are other local factors that are important, (see below), but here I’m going to mostly focus on gravity.

Imagine that sea level is more or less stable around the earth (which it was, more or less, before the start of the twentieth century). Just like the moon causes tides because its gravity exerts a pull on the oceans, the ice sheets are large masses and their gravity also attracts ocean water, so the average sea level is higher closer to Greenland and to Antarctica. But there is only a finite volume of water in the oceans, so a higher sea level close to the ice sheets means lower sea levels further away in the tropics for example.

As the ice sheet melts and gets smaller, its gravitational pull becomes smaller so the average height of the sea around Greenland and Antarctica is lower than it was before, but the water gets redistributed around the earth until it is in equilibrium with the gravitational pull of the ice sheets again. The sea level in other places is therefore much higher than it would have been without that gravitational effect.

And in general, the further away from an ice mass you are, the more these gravitational processes affect your local sea level change. In Northern Europe, it often surprises people (also here in Denmark) to learn that while Greenland has a small influence on our local sea level, it’s not very much because we live relatively close to it, however the loss of ice from Antarctica is much more important in affecting our local sea level rise.

Currently, most of the ice contributing to sea level is from the small glaciers around the world, and here too there is an effect. The melt of Alaska and the Andes are more important to our sea level than the Alps or Norwegian glaciers because we are far from the American glaciers but close to the European ones.

This figure below illustrates the processes:

Processes important for local sea level include changes in land height as ice melts but also the redistribution of water as the gravitational attraction of the ice sheets is reduced. The schematic representation is from the Arctic assessment SWIPA report Figure 9.1 from SWIPA 2017

This is partly why the EU funded PROTECT project on cryosphere contributions to sea level rise, which I am currently working on, has an emphasis on the science to policymakers pipeline. We describe the whole project in this Frontiers paper, which includes a graphic explaining what affects your local sea level.

As you can see, it very much depends on what time and spatial scale you’re looking at, with the two ice sheets affecting sea level on the longest time scales.

Figure 1 from Durand et al., 2021 Illustration of the processes that contribute to sea level change with respect to their temporal and spatial scales. These cover local and short term effects like storm surges, waves and tides to global and long-term changes due to the melting of ice sheets.

In the course of the project some of the partners have produced this excellent policy briefing, which should really be compulsory for anyone interested in coastal developments over the next decades to centuries. The most important points are worth highlighting here:

We expect that 2m of global mean sea level rise is more or less baked in, it will be very difficult to avoid this, even with dramatic reductions in greenhouse gas emissions. But the timescale, as in when that figure will be reached, could be anything from the next hundred years to the next thousand.

Figure from PROTECT policy briefing showing how the time when average global sea level reaches 2m is strongly dependend on emissions pathway – but also that different parts of the world will reach 2m of sea level rise at very different times, with the tropics and low latitudes in general getting there first.

What the map shows is that the timing at which any individual place on earth reaches 2 m is strongly dependent on where on earth it is. In general lower latitudes close to the equator will get to 2m before higher latitudes, and while there are ocean circulation and other processes that are important here – to a large extent your local sea level is controlled by how close to the ice sheets you are and how quickly those ice sheets will lose their ice.

There are other processes that are important – especially locally, including how much the land you are on is rising or sinking, as well as changes in ocean and atmosphere circulation. I may write about these a bit more later.

Feel free to comment or ask questions in the comments below or you can catch me on mastodon:

Celebration time: PRECISE

Quick update: our project website is now live where updates will be posted as we go…

The news is now officially out: I’m really delighted to announce the funding of our large project, PRECISE, by the Novo Nordisk Foundation.

The project is led by Professor Christine Hvidberg at the Niels Bohr Institute and there is a really nice interview with her on their website about our plans that’s worth a read. I’m co-PI and lead on surface mass balance processes and coupled climate models within the project so I thought it might be worth giving a quick overview of what we hope to achieve.

TL;DR? We will be improving estimates of and assessing the uncertainties in sea level rise projections from the two big ice sheets in Greenland and Antarctica.

Every science proposal has a graphic like this somewhere showing how the whole project hangs together.
This is ours…

Slightly longer version: we’re using new approaches from materials science to incorporate “new” physics in ice sheet models. We’re also integrating in-situ observations and satellite data into our model frameworks and using these to train machine-learning tools. My work package will emulate our physics based numerical climate models to expand the ensemble and generate a statistical approach for assessing ice sheet stability as well as investigating important feedbacks between different elements of the earth system. Finally, we (or rather my colleague Christian Rodehacke and his postdoc) will run our coupled climate – ice sheet model (EC-EARTH-PISM), including these advances, to generate new sea level rise projections.

The outputs from all these experiments will be communicated and developed in collaboration with the Danish Klima Atlas (Climate Atlas) to ensure we are focused on the right kind of data and time periods for use by stakeholders and local populations when it comes to adaptation planning.

Current projections of change in average sea level around Denmark from the klima atlas

So why this project?

One of the most iconic images to come out of the last IPCC 6th asessment report (at least in my little corner of the climate science universe) is this one on sea level rise projections out to 2100.

Much of climate science has, at least to some extent been “solved”. At least in the sense that we understand the mechanisms and processes quite well and the remaining uncertainty is to some extent tinkering around the edges, often bound up with uncertainty on scenario, or related to impacts – there’s still quite large uncertainty on what will happen to the Amazon rainforest at different levels of emissions for example. However, sea level rise is really an exception to this. It’s very difficult to be sure that some very unpleasant surprises are really implausible.

We’re reasonably certain that global mean sea level will rise by at least 2 metres and around a metre by the end of this century with further sea level rise likely to continue perhaps for centuries.

The IPCC for example, concluded that sea level rise of 15 metres or more by 2300 can’t be ruled out, even if it seems rather unlikely. And this poses a pretty large problem to planners, politicians, stakeholders and providers of coastal services. Working out how far and how fast we expect the sea to rise is really our challenge.

But there is also a risk of abrupt and extreme sea level rise that could come round the corner to surprise us. However, it’s hard to know how likely this is or even how to evaluate that risk.

This has become something of a theme for me in the last few years. I have been working on the Horizon 2020 project PROTECT which very much focuses on the cryosphere and sea level rise, and I’m coordinating Horizon Europe’s OCEAN:ICE which focuses much more on the influence and feedbacks between Antarctic ice sheet and ocean.

Where PRECISE differs is that we have the flexibility within this project to develop new and innovative techniques that we’re not quite sure will work: especially the development of machine learning tools.

The EU science budget is a brilliant thing, but risky research is difficult to get through, the Move Nordisk challenge centres allow us to try really new and, yes, risky techniques. Though climate is a new topic for them, so we’re very much test bunnies in this new phase of funding science for them.

So what are we going to be doing practically?

Measuring snow pack properties in Greenland, with the help of the Lego scientists..

Our partners at NBI include Joachim Mathiesen, Helle Astrid Kjær, Aslak Grinsted and Nicholas Rathmann. They will be focusing on assembling field data from both ice sheets, and developing new physical solutions for ice sheet models based on solutions from materials science. They will be looking at phase field approaches for ice flow, at new solutions for calving and ice fracture and integrating these into ice dynamical models. NBI will also be doing fieldwork to collect new surface mass budget (SMB) data from the ice sheets.

A new ice fracture appears, how to understand and model these is a key part of the NBI contribution in PRECISE project.

The SMB part of the work is part that I’m especially involved in. Not just in modelling SMB with our climate and weather models as we do on the polar portal but also in getting a much better understanding on the uncertainty in these models associated with precipitation (which is much higher than that associated with e.g. temperature, especially when it is snowfall). So new observations with a high time resolution will be key for improving our current snowpack models.

A shallow ice core, in this case sea ice, but part of the fieldwork will focus on taking more of these samples and doing isotope analysis on situ to get high quality data on snowfall accumulation

We will also be working on bringing regional climate emulators into use over both ice sheets to see how varying starting conditions will vary the outcomes. We know that on a chaotic system like weather starting conditions are key and emulators allow us to do many many more experiments than with our physics based numerical codes alone. It’s pretty cutting edge stuff right now but I know several groups are working on this – including this fantastic paper that recently came out of the Delft/Leuven group, which really shows what is possible

Our other collaborator, Hilmar Gudmundsson at University Northumbria Newcastle will be working on implementing these processes in ice sheet models and examining how plausible instability in ice sheet simulations is using ensembles of multiple model simulations. They will also be using and developing their ice shelf emulator to look at basal melting and investigating the potential instabilities in Antarctic ice shelves that could lead to abrupt sea level rise.

Finally, bringing it all together, our EC-Earth-PISM model will be deployed to do coupled climate and ice sheet simulations to see how the two ice sheets influence each other. This work will mostly be supervised by my DMI colleague Christian Rodehacke.

The project will receive 42 million Danish kroner in total (about 5 million euros) of which 8 million dkk will fund work at DMI, work to be carried out by 2 postdocs and a PhD student (so if this sounds like something you’d be interested in working on do get in touch) over the next 6 years from September. In fact most of the funding we have received will go directly to early career scientists, there is nothing in the budget for us seniors! Naturally this has some disadvantages, but given the rapidly aging population wihtin Europe and European science, I see it as a positive and we have lots of cool summer schools, bootcamps and other networking activities planned that will hopefully reach out beyonf PRECISE to the rest of the ice sheet – climate community.

So watch this space…

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

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…

Out and about in Leeds..

I’ve been on holiday this last week and I’m combining the trip to the UK with a visit to colleagues and collaborators at the University of Leeds. I’ve also been nabbed while I’m in Leeds to give a wider interest talk at the Royal Meteorological Society Yorkshire branch in Leeds.

I’ll be discussing ice sheets, their contribution to sea level rise and how the future is looking. There may also be some nice photos from our fieldwork in Northern Greenland for those who like dogs, icebergs and snow…

If you’re in Leeds and fancy joining you’re most welcome to register and attend at this link.

In general, I’m trying to reduce my travel this year, last year, with all the rolled over meetings from the COVID times was disruptively busy with work travel, it makes it challenging to actually get the work done. So I think combining work and holidays and rolling up meetings into a block is the way forward.

Although I very much appreciate the opportunity to present online at various meetings, I’m less convinced about hybrid meetings where the purpose is mostly scientific discussions, that is something that works much better either all online or all in person in my opinion, but I think they work well when the aim is to present new and ongoing work (like EGU).

For those who are interested but can’t attend I will see if the talk tomorrow will be recorded and can be uploaded somewhere. Here’s the abstract:

Frozen Threats: Understanding the Role of Ice Sheets in Sea Level Rise

In this talk, we will delve into the world’s ice sheets and explore their importance in the climate system. Ice sheets are the largest stores of freshwater on the planet, their size and location means they influence our climate but their interactions with the atmosphere and ocean are complex. As the world warms, they will inevitable have an impact on sea level. Adapting to sea level rise will be one of our civilisations biggest and longest challenges, so understanding ice sheets is now of critical importance. They are also beautiful and fascinating environments in their own right. In this talk I will discuss some of the scientific challenges, but also show how far we have come in understanding ice sheets and glaciers.

The Inughuit cliffs near Qaanaaq in Northern Greenland rising up above the sea ice. In the far distance a dog-sled is a small black speck.

Sea Level Rise: How far, how fast?

A paper appeared in Science this week about sea level rise in the last interglacial (about 129-116,000 years ago). It has sparked the usual predictable headlines as it points out that during that period, sea level rose by about 6-9 metres but that that the ocean temperature as far as it can be reconstructed, is about what we see now, that is about 0.5C warmer than the preindustrial.

sealevelguardian
Guardian reports on latest study

In a sense this isn’t that “new” – we’ve known about higher sea levels during the last interglacial for ages and that the global mean temperature was roughly 2C above the pre-industrial global mean. This is in fact one of the reasons for the Paris target (though some scientists speculate that it’s also pretty much already out of reach).

However, the sea surface temperature stuff makes it extra interesting as the ocean is a pretty big source of uncertainty in global climate models and mot models do not manage to reproduce modern day ocean temperatures all that well.

It should also be said that the last interglacial is only a good analogue for 2C world up to a point – it was warm because of enhanced solar input, not because of greenhouse gases as this plot from an Antarctic ice core, edited by the awesome Bethan Davies at the Antarctic Glaciers blog shows:

vostok_420ky_4curves_insolation_to_2004
Carbon dioxide (CO2), Methane (CH4) with reconstructed temperature from the Vostok Ice Core, taken in Eastern Antarctica. Enhanced with modern methane, CO2 and temperature measurements by Bethan Davies. Note that the “modern” value of CO2 here is from 2004. In 2017 it is currently measuring 403 ppm.

It’s also interesting to speculate where the water came from – the Greenland ice sheet was much smaller than today but it was still there and now “only” contains 7m of sea level rise today. So the complete disappearance of Greenland cannot explain the rise in global sea level. The small glaciers and ice caps of the world can’t contribute more than half a metre or so either. Therefore it has to be Antarctica contributing the most – East or West is the question and it really is a very very longstanding question.

The progress in the international polar year (IPY) in mapping the bedrock of Antarctic in the BEDMAP2 brought quite a few surprises, including the discovery of several very deep marine basins in the East that could potentially contribute a lot of water to sea level.

More recently, channels under the floating ice shelves of west Antartica, along with various modelling studies have proposed that the west could be much more unstable than thought. Actually this has been a very very longstanding problem in Antarctic science since at least the late 1970s when John Mercer first proposed the marine ice sheet instability hypothesis.

In any case, events in both Denmark and the UK have brought this problem home more sharply.

stillstormflod
The silent storm surge – coastal flooding in Copenhagen on the 5th January – the water in the harbour is not normally this high! Source: Brian Dehli, shared by DR 

aslaktweet

The “silent storm surge” in January 2017 around the coast of Denmark was  a hundred year event in many places, but as Aslak Grinsted points out, sea level rise makes a hundred year event a 20 year event with only a small rise.

Sea level will not rise equally everywhere, the fingerprint of Greenland ice sheet loss is felt largely in the Pacific, Antarctic ice melt will be felt in Europe. It matters where the water comes from. A point not generally appreciated.

So this new paper is also important, but it only underlines that we need to be able to make much much better estimates of how fast and how far the ice sheets will retreat, which is the justification for much of my own scientific research.

Finally, I think it’s probably necessary to point out that sea level is already rising. This was asked by a listener to Inside science, one of my favourite BBC radio 4 programmes/podcasts. I was a little surprised that an apparently scientifically literate and interested member of the public was not aware that we can measure sea level rise pretty well – in fact to an extent, the global warming signal is more easily detected in the ocean than in the global temperature record. This is because the ocean expands as it warms and there is ocean pretty much everywhere, whereas temperature observations are patchy and mostly on land. Clearly, scientists like myself are *still* not doing a very good job of communicating our science more widely. So here is the global mean sea level record to date, it’s updated pretty regularly here and on average, sea level is rising at about 3mm per year or 3cm per decade.

 

sealevel
Sea level variation measured by satellite since 1993 from NASA

When we look at tidal gauges,sea level rose about 20cm in the 2oth century

20crsealevel
Sea level rise in the 20th century measured by tide gauges, plot by NASA, data from CSIRO

The big uncertainties we have on whether or not this will accelerate in years to come is largely down to missing processes in ice sheet models that we don’t yet understand or model well – mostly calving by glaciers and ice shelves. I promised Steve Bloom a blog post on that at some point – I have a paper to finish and new simulations to run, but hopefully I’ll get round to that next.

UPDATE: I was made aware this morning of a new report from the European Environment Agency about climate change impacts and adaptation in Europe. In the report they state (correctly) that while the IPCC 5th Assessment Report suggested that in the 21st century the likely sea level rise will be on the order of half a metre, some national and expert assessments (I took part in a couple of these) had suggested an upper bound of 1.5 – 2m this century, for high emissions scenarios.

This is a big difference and would be pretty challenging to adapt to in low-lying countries like the Netherlands and Denmark, not to mention big coastal cities like London or Hamburg. It’s laso important to emphasise that it doesn’t jsut stop at the end of the century, in fact our simulations of the retreat of Greenland ice sheet suggest it’s only just getting going at the end of this century and the next century the rate of ice loss will really start to accelerate.

All of which is to say, there’s really a very good reason to act now to reduce our emissions. The EEA has also produced this very nice map of observed sea level rise in Europe over the last two decades based on  Copernicus environmental data.

Obs_slr_Europe.png
Check out how much the sea level is rising where you live… Source: European Environment Agency, data from Copernicus Marine Environment Monitoring Service

With the prospect of American federal funding for environmental observations being reduced or strongly constrained in the future, it’s really important we start to identify and support the European datasets which are the only other sources of environmental monitoring out there right now.

 

 

Rain rain go away…

My 2 kids were singing the rain rain go away rhyme during last weekend’s epic rainfall in Copenhagen and it reminded me that I have not yet put up a post about a paper I was a co-author on this summer related to late summer/autumn rainfall and the effects on the Greenland ice sheet, so here goes….

Mostly when we think of precipitation in Greenland we think of snow in the winter, but it does rain quite a lot, as I know from personal experience (see photo taken as the clouds started to clear one September field season in Eastern Greenland…). This paper in Nature Geoscience by Sam Doyle and co-authors including myself shows that when rain falls on the ice sheet at the “wrong” time of year it can have a very far-reaching effect, causing the speed up of a large area across the ice sheet.

Rain clouds over the Stauning Alps of Eastern Greenland after the third day of rain... Exploratory mining camp tents in the foreground.
Rain clouds over the Stauning Alps of Eastern Greenland after the third day of rain…
Exploratory mining camp tents in the foreground.

The important caveat is that rainfall during the main part of the melt season is more or less evacuated away quickly. Glaciers – and the Greenland ice sheet is basically a very big glacier – develop a drainage system more or less analogous to large underground sewers during the melt season. These tend to close down during the colder accumulation season and reopen by the sheer pressure of water running through them when the melt season starts. Rainfall during that crucial late summer/early autumn period when the drainage is closing down and therefore less efficient at evacuating surplus liquid water is therefore not able to move away from the glacier very easily and forces its way through any way it can find.

During this period, most of the snow will have melted off the surface, leaving vast areas of bare ice. By contrast, rain on snow in the early part of the melt season when there is a thick snow pack is more likely to refreeze inside the snow. In late summer however, there will be a relatively short period between rain falling and accumulating in the glacier drainage system.

In practice this means the water makes its way to the bed of the glacier through moulins and englacial channels, where it more or less hydraulically jacks up the glacier over a large region, allowing the ice to flow to the margins faster. There may then also be a knock-on effect with increased calving of icebergs at outlet glaciers. in 2011, the field team were able to measure both the rain fall and the following cascade of processes in a range of different datasets as shown below:

Rainfall (a,b) over the ice sheet runs off the bare ice quickly as shown by discharge stations on a number of rivers in western Greenland (c). This triggers acceleration  across a wide area, shown by GPS stations on the ice sheet at 10 different locations (d). Figure taken from the paper
Rainfall (a,b) over the ice sheet runs off the bare ice quickly as shown by discharge stations on a number of rivers in western Greenland (c). This triggers acceleration across a wide area, shown by GPS stations on the ice sheet at 10 different locations (d). Figure taken from the paper

My contribution to the paper was in the form of some HIRHAM5 model runs for Greenland which show the last decade has seen a significant increase in rainfall events in the summertime compared with the previous decade. We chose as a study region the K-transect of weather stations in western Greenland. These are operated by Utrecht University and have a long time-series of data which previous work has shown our model can replicate quite nicely. The model is forced by the ERA-Interim reanalysis, a data set based on weather forecast models with real observations included in it run for the whole world so we are pretty confident the rainfall patterns are realistic. There are actually two interesting points illustrated in the picture below taken from the paper. Firstly that there is more rain falling and secondly that this rain is falling at higher elevations on the ice sheet, potentially causing a much wider area of the ice sheet to be affected by late-summer rainfall events.

The decadal change in rainfall events is partly due to a persistent North Atlantic Oscillation anomaly which has funnelled storms over the western edge of the ice sheet. There is also some evidence that the stratospheric Rossby waves have become more “wavy” over the same period, due to the increasing warming and vanishing sea ice in the Arctic. This hypothesis was articulated in a very nice paper by Francis and Vavrus but it remains a very open area of research as we just don’t have a lot of evidence right now.

We do know that the Arctic is one of the fastest warming regions on the planet and this will certainly have a knock-on effect on the Greenland ice sheet both in terms of melting and, perhaps, in the frequency of storms bringing rain over the ice sheet in the future. I am now preparing a new study to see if we see a signal along these lines in our future simulations of the Greenland domain.

Rainfall events at a weekly timestep over the K-transect in western Greenland  for two different decades and the difference between the two. The second decade has many more rainfall events that reach to a much higher elevation than the first decade.
Rainfall events at a weekly timestep over the K-transect in western Greenland for two different decades and the difference between the two. The second decade has many more rainfall events that reach to a much higher elevation than the first decade.

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”.

A question of observation?

It’s been a while since I lasted posted anything, not for want of ideas but mainly lack of time. I shall try to catch up over the next few weeks. For now I was inspired to write an ultra-quick post about a very trivial question that came up at work today. I think it really captures how observational meteorology works (or should work).

Today, a colleague, John Cappelen, (also known as Mr. Greenland observational data), happened to mention in passing that on the 15th July this year, the weather station at Summit on the Greenland ice sheet had transmitted back to us in Copenhagen, a temperature observation of 2.5°C. This was during one of the highest melt periods this summer.

Automatic weather station operating at Summit, June 2015
The automatic weather station doing it’s thing at Summit, June 2015. Photo: DMI

Bearing in mind that Summit Camp is at roughly 3,216m, this is a pretty high measured temperature. In fact it would be rather noteworthy, especially as it occurred on one of the highest melt days of the summer. Temperatures above 0°C at Summit are not unknown and the record, during the famous summer of 2012 when around 95% of the ice sheet surface experienced melt, the water sweeping away a bridge on the Watson River near Kangerlussuaq, was 3.6°C.

Now, my colleague is a very experienced and careful scientist. He had checked the observations and the temperatures before and after this measurement were well below zero, so, my colleague asked, was there any reason to believe this measurement or can we assume an instrument failure of some kind?

My office mate in the Arctic and Climate Research section and I obligingly had a quick look at our Polar Portal Greenland ice sheet surface plots (see below) and at the melt extent plots that are updated daily on the DMI website. We had to conclude there was no evidence of melt that high on the ice sheet and there was also no reason to believe that a sudden sharp warming had occurred at Summit on this day based on DMI’s own weather forecast. We then turned to check the weather plots, also on the polar portal and based on data from the European Centre for Medium Range Weather Forecasting (the ECMWF – probably the best weather forecast modellers in the world).

Again, the anomaly plots showed rather cold conditions prevailing over the ice sheet during this period, though at the same time very high melt and low surface mass balance from the ice sheet due to the clear skies.

Graphs showing area of the Greenland ice sheet experiencing melt conditions, compared with the average (dark grey line) and range of past summers (1990-2012), for more detail see the DMI website
Graphs showing area of the Greenland ice sheet experiencing melt conditions, compared with the average (dark grey line) and range of past summers (1990-2012), for more detail see the DMI website

Temperature record from Summit Camp for the last month.
Temperature record from Summit Camp for the last month.

Fortunately, due to the American Summit Camp we have access to a back-up dataset very close to this location and after a quick web search John Cappelen was able to confirm that indeed this measurement was an error as the nearby station has not seen anything like that during the period in question (see right).

This kind of thing happens all the time and is therefore not at all newsworthy or interesting enough to write a publication about. However, when a recent record high temperature in the UK can lead to 2 critical articles in the Daily Telegraph and a particularly vigorous exchange on twitter for Met Office scientist Mark McCarthy, as well as this corrective piece on the Carbon Brief blog, perhaps we should be more vocal about just how careful and critical we as scientists are about observations, including the ones we decide to discard as well as the ones we keep.

Surface mass balance of the Greenland ice sheet on the 15th July 2015. Intense melting around the margins led to very negative SMB (the red colours) during this period.
Surface mass balance of the Greenland ice sheet on the 15th July 2015. Intense melting around the margins led to very negative SMB (the red colours) during this period.

Addendum: I was alerted by this tweet from Gareth Jones, also a Met Office scientist, to some slightly strange cherry picking in the blogosphere of climate records from a couple of DMI stations in Greenland. These have apparently been used to claim no climatic warming trend in Greenland over the 20th Century (I’m not going to link to it).

Screenshot of tweet

Anyone who is really interested in the observational data could try checking these reports by Mr Greenland observations himself instead, here is a quick summary: 

Mean annual temperature in Copenhagen, Torshavn (Faeroes) and selected DMI weather stations in Greenland from 1873 - 2014. Figure from DMI
Mean annual temperature in Copenhagen, Torshavn (Faeroes) and selected DMI weather stations in Greenland from 1873 – 2014. Figure from DMI