The storm is coming in…

UPDATE THE MORNING AFTER (21/10/2023): water levels are now falling rapidly to normal and the worst of the gales are past, so it’s time for the clean-up and to take stock of what worked and where it went wrong. It’s quite clear that we had a hundred year storm flood event in many regions, though the official body that determines this has not yet announced it. Their judgement is important as it will trigger emergency financial help with the cost of the clean-up.

In most places the dikes, sandbags and barriers mostly worked to keep water out, but in a few places they could not deal with the water and temporary dikes (filled pvc tubes of water km long in some cases) actually burst under the pressure, emergency sluice gates and pumps could also not withstand the pressure in one or two places.

Trains and ferries were delayed or cancelled and a large ship broke free from the quayside at Frederikshavn and is still to be shepherded back into place.

Public broadcaster DR has a good overview of the worst affected places here.

Water levels reached well over 2m in multiple places around the Danish coast and in some places, water measurements actually failed during the storm..

In other places, measurements show clearly that the waters are pretty rapidly declining. So. A foretaste of the future perhaps? We will expect to see more of these “100 year flood” events happening, not because we will have more storms necessarily but because of the background sea level rising. It has already risen 20cm since 1900, 10cm of that was since 1991, the last few years global mean sea level has risen around 4 – 4.5 mm per year. The smart thing to do is to learn from this flood to prepare better for the next one.

But we as a society also to assess how we handle it when a “hundred year” flood happens every other year…

-Fin-

Like much of northern Europe we have been battening down the hatches, almost literally, against storm Babet in Denmark this week. DMI have issued a rare red weather warning for southern Denmark, including the area I often go kayaking in.

Weather warning issued by DMI 20th October 2023 There are three levels, blue signifies the lowest, yellow is medium and the highest is red, which is rather rarely issued. The boxed text applies to the red zome around southern Denmark and states it relates to a water level of between 1.4 and 1.8m above the usual.

From a purely academic viewpoint, it’s actually quite an interesting event, so beyond the hyperbolic accounts of the TV weather presenters forced to stand outside with umbrellas, I thought it was worth a quick post as it also tells us something about compound events, that make storms so deadly, but also about how we have to think about adaptation to sea level rise.

I should probably start by saying that this storm is not caused by climate change, though of course in a warming atmosphere, it is likely to have been intensified by it, and the higher the sea level rises on average, the more destructive a storm surge becomes, and the more frequent the return period!

Neither are storm surges unknown in Denmark -there is a whole interesting history to be written there, not least because the great storm of 1872 brought a huge storm surge to eastern Denmark and probably led directly to the founding of my employer, the Danish Meterological Institute. My brilliant DMI colleague Martin Stendel persuasively argues that the current storm surge event is very similar to the 1872 event in fact, suggesting that maybe we have learnt something in the last 150 years…

Stormflod 1872
Xylografi, der viser oversømmelsens hærger på det sydlige Lolland
År: 1872 FOTO:Illustreret Tidende

However, back to today: the peak water is expected tonight, and the reason why storm surges affect southern and eastern Denmark differently to western Denmark is pretty clear in the prognosis shown below for water height (top produced by my brilliant colleagues in the storm surge forecasting section naturally) and winds (bottom, produced by my other brilliant colleagues in numerical weather prediction):

Forecast water level for 1am 21st October 2023 note that the blue colours on the west show water below average height and the pink colours in the south and east show sea level at above average height.
Forecast wind speeds and directions indicated by the arrows for 1am, Saturday 21st October 2023

Basically, the strong westerly winds associated with the storm pushed a large amount of water from the North Sea through the Kattegat and past the Danish islands into the Baltic Sea over the last few days. Imagine the Baltic is a bath tub, if you push the water one way it will then flow back again when you stop pushing. Which is exactly what it is now doing, but now, it is also pushed by strong winds from the east as shown in the forecast shown above. These water is being driven even higher against the coasts of the southern and eastern danish islands.

The great belt (Storebælt) between the island of Sjælland (Zealand) and Fyn (Funen) is a key gateway for this water to flow away, but the islands of Lolland, Falster and Langeland are right in the path of this water movement, explaining why Lolland has the longest dyke in Denmark (63km, naturally it’s also a cycle path and as an aside I highly recommend spending a summer week exploring the danish southern islands by bicycle or sea kayak, they’re lovely.). It’s right in the front line when this kind of weather pattern occurs.

These kind of storm surges are sometimes known as silent storm surges by my colleagues in the forecasting department because they often occur after the full fury of the storm has passed. I wrote about one tangentially in 2017. This time, adding to the chaos, are those gale force easterly winds, forecast to be 20 – 23 m/s, or gale force 9 on the Beaufort Scale if you prefer old money, which will certainly bring big waves that are even more problematic to deal with that a slowly rising sea, AND torrential rain. So while the charts on dmi.dk which allow us to follow the rising seas (see below for a screengrab of a tide gauge in an area I know fairly well from the sea side), water companies, coastal defences and municipalities also need to prepare for large amounts of rain, that rivers and streams will struggle to evacuate.

Water height forecast for Køge a town in Eastern Sjælland not far from Copenhagen. The yellow line indicates the 20 year return period for this height. Blue line shows measurements and dashed black lines show the forecast from the DMI ocean model. You can find more observations here.

In Køge the local utilities company is asking people to avoid running washing machines, dishwashers and to avoid flushing toilets over night where possible to avoid overwhelming sewage works when the storm and the rain is at the maximum.

This brings me to the main lessons that I think we can learn from this weather (perhaps super-charged by climate) event.

Firstly, it’s the value of preparedness, and learning from past events. There will certainly be damage from this event, thanks to previous events, we have a system of dykes and other defence measures in place to minimse that damage and we know where the biggest impacts are likely to be.

A temporary dike deployed against a storm surge in Roskilde fjord

Secondly, the miracle, or quiet revolution if you will, of weather and storm forecasting means we can prepare for these events days before they happen, allowing the deployment of temporary barrages, evacuations and the stopping of electricity and other services before they become a problem.

This is even more important for the 3rd lesson, that weather emergencies rarely happen alone – it’s the compound nature of these events that makes them challenging – not just rising seas but also winds and heavy rain. And local conditions matter – water levels in western Denmark are frequently higher, the region is much more tidally influenced than the eastern Danish waters. This is basically another way of saying that risk is about hazard and vulnerability.

Finally, there are the behavioural measures that mean people can mitigate the worst impacts by changing how they behave when disaster strikes. Of course, this stuff doesn’t happen by itself. It requires the slightly dull but worthy services to be in place, for different agencies to communicate with each other and for a bit of financial head room so far-sighted agencies can invest in measures “just in case”. We are fortunate indeed that municipalities have a legal obligation to prepare for climate change and that local utilities are mostly locally owned on a cooporative like basis – rather than having to be profit-making enterprises for large shareholders..

This piece is already too long, but there is one more aspect to consider. The harbour at Hesnæe Havn has just recorded a 100 year event, that is a storm surge like this would be expected to occur once ever hundred years, in this case the water is now 188cm. The previous record of 170cm was set in 2017. We need to prepare for rising seas and the economic costs they will bring. The sea will slowly eat away at Denmark’s coasts, but the frequency of storm surges is going to change – 20cm of sea level rise can turn a 100 year return event into a 20 year return event and a 20 year return event into an ever year event.

Screenshot of the observations of sea level from Hesnæs

We need to start having the conversation NOW about how we’re going to handle that disruption to our coastlines and towns.

We’re hiring…

In case this weekend’s posts on the lessons to take away from this summer, and the future direction of climate science and climate services have caught your interest, you might also be interested in one of our new open positions. All jobs are advertised on DMI’s webpage here. But let me draw your attention to a few in the group I work in – part of the National centre for climate research (National Center for Klimaforskning).

We are expanding quite rapidly at DMI currently – part of a strategic plan to ensure that we are primed for a generational shift at DMI, but also reflecting some of the themes I touched on yesterday – an expansion into climate services and the development of new machine learning based models and advanced statistical techniques for weather and climaet applications. Note also that the remote sensing part of NCKF

UPDATE: A new position advert has been added:

0) Climate Scientist with Focus on Decadal Climate Prediction

https://candidate.hr-manager.net/ApplicationInit.aspx?cid=5001&ProjectId=171179&MediaId=5

1) Researcher to work with climate services and projections of future African climate (3-year, funded by the development programme with Ghana Met)

https://candidate.hr-manager.net/ApplicationInit.aspx?cid=5001u0026amp;ProjectId=170815u0026amp;MediaId=5

2) Experienced Climate Advisor to the danish government (a generalist position, should be fluent in danish)

https://candidate.hr-manager.net/ApplicationInit.aspx?cid=5001u0026amp;ProjectId=170817u0026amp;MediaId=5

3) Administrative climate advisor and coordinator with public authorities in Ghana

https://candidate.hr-manager.net/ApplicationInit.aspx?cid=5001u0026amp;ProjectId=171032u0026amp;MediaId=5

Our sister units also have some interesting postings out that would also crossover with the work we do in our section on the climate of Denmark and Greenland.

4) Remote sensing and/or machine learning specialist for automated sea ice classification from satellite data – building on the very successful project ASIP

https://candidate.hr-manager.net/ApplicationInit.aspx?cid=5001u0026amp;ProjectId=171066u0026amp;MediaId=5

5) Climate scientist with focus on developing radio occultation data for climate monitoring (part of EUMETSAT ROMSAF project)

https://candidate.hr-manager.net/ApplicationInit.aspx?cid=5001u0026amp;ProjectId=171011u0026amp;MediaId=5

Come and join the team!

We’re hiring…

In case this weekend’s posts on the lessons to take away from this summer, and the future direction of climate science and climate services have caught your interest, you might also be interested in one of our new open positions. All jobs are advertised on DMI’s webpage here. But let me draw your attention to a few in the group I work in – part of the National centre for climate research (National Center for Klimaforskning).

We are expanding quite rapidly at DMI currently – part of a strategic plan to ensure that we are primed for a generational shift at DMI, but also reflecting some of the themes I touched on yesterday – an expansion into climate services and the development of new machine learning based models and advanced statistical techniques for weather and climaet applications. Note also that the remote sensing part of NCKF

UPDATE: A new position advert has been added:

0) Climate Scientist with Focus on Decadal Climate Prediction

https://candidate.hr-manager.net/ApplicationInit.aspx?cid=5001&ProjectId=171179&MediaId=5

1) Researcher to work with climate services and projections of future African climate (3-year, funded by the development programme with Ghana Met)

2) Experienced Climate Advisor to the danish government (a generalist position, should be fluent in danish)

3) Administrative climate advisor and coordinator with public authorities in Ghana

Our sister units also have some interesting postings out that would also crossover with the work we do in our section on the climate of Denmark and Greenland.

4) Remote sensing and/or machine learning specialist for automated sea ice classification from satellite data – building on the very successful project ASIP

5) Climate scientist with focus on developing radio occultation data for climate monitoring (part of EUMETSAT ROMSAF project)

Come and join the team!

Is it time for a change..?

My employer DMI, and specifically my team at the National Centre for Climate Research are recruiting.

Not an earth-shattering revelation perhaps but these are premium research jobs, and this is probably a once in a generation opportunity in Denmark.

Let me explain. They are full time and permanent positions, working right at the cutting edge of both basic climate research, and importantly, climate services. You can see the full adverts at the links below:

DMI scientists collaborating with local hunters in the field in Greenland

I call these positions once in a generation positions because these kind of positions just don’t come up very often. Part of the reason these are now available is related to the generation change* that is coming to DMI. Right now we are fortunate also to have a number of large EU funded projects as well as danish funding for our Climate Atlas and new hydrology department which is giving us the opportunity to plan for the long term.

Sea level rise is an existential threat for Denmark, at least in the long term and we are putting a great deal of effort not just into the science of melting ice, tipping points and so forth to try and assess the potential risks, but also into planning climate adaptation and mitigation in the short and medium term.

The new positions related to climate and ice sheets and sea level rise will have some flexibility with them in terms of how the jobs evolve and research directions. There will certainly be opportunities for whoever is hired to steer in their own direction and initiate their own research programmes within the broad frame of the topics. I can certainly also only praise the management for the generally supportive and research positive encouragement.

I’d like to help cast the net wide and deep to get as strong a pool of candidates as possible, so please do feel free to get in touch with me either here or via the usual email, and other social media feeds if I can help at all. And if you have good students, postdocs or others, please do share.

We will be holding some “open house” events where you can come in person to visit DMI or sign on in a virtual event to hear more about the positions, about DMI and what it’s like to work in Denmark. Again get in touch to hear more about those.

*”Generations skift” in Danish – I have not looked at the statistics but I suspect many public institutes, including weather and climate services are greying. There was an expansion during the 80s and 90s as numerical techniques became more widespread and integrated into weather prediction and by extension climate – many of the staff employed then are getting close to retirement. In my view DMI is wise to start trying to replace these staff now so there will be continuity and knowledge exchange before it becomes a problem.

Bless the rains down in Africa #DACEA3

An ultra-quick post today. I have been spending a lot of time lately writing a grant proposal (and occasionally tweeting about it  on the #DACEA3 hashtag).  Finally it’s in and after a celebratory beer or two at the famous Mikeller last week I have managed to get around to a very brief summary of what it’s all about… 

Around 17,000 years ago, Lake Victoria more or less completely dried out. I still find this absolutely staggering. In fact, the lake has dried out and reformed at least 3 times since it first formed about 400,000 years ago.

Lake Victoria is the largest lake in Africa and indeed the tropics, containing 2.75 cubic kilometres of water (though compared to the 2,850,000 cubic kilometres of water in the Greenland ice sheet that seems small, which merely goes to prove how much of our fresh water is locked up in the ice sheets), making it the 9th largest lake by volume in the world.

Gratuitous wildlife shot: A raft of hippos chilling out in the river. Photo: Pim Bussink
Gratuitous wildlife shot: A raft of hippos chilling out in the river.
Photo credit: Ruth Mottram

Clearly, the disappearance and later reappearance of the lake, and others in the region speaks to monumental shifts in the climate. The East African Rift Valley lakes are largely fed by the East African rains, long and short, delivered by the shifting position of the Intertropical Convergence Zone as the Earth’s seasons change bringing those life-giving rains.

This grant proposal started as idle speculation around the coffee machine (in the grand old scientific tradition) about how this was climatically possible and could it happen again? My colleague (and talented PI on the proposal) Peter Thejll had been reading a book about John Hanning Speke and Richard Burton (not that one) and their famous search for the source of the Nile and has some personal African connections, which prompted the conversation and it seemed obvious to try and find out what happens to the local circulation to allow the lake to dry out. A quick google search revealed an old friend, Dr. Sarah Davies at Aberystwyth University was researching this topic actively and it all fell into place.

Now, I can guess what you’re thinking – this is usually a glaciology or Arctic Climate blog, where on earth has all this Africa stuff come from? Well what happens in the Arctic does not necessarily stay in the Arctic.

There are a number of hypotheses as to the drivers of these changes in African rainfall, among which is the interesting observation that the periods of greater aridity correlate remarkably well with Heinrich events in the North Atlantic.

Heinrich events were first identified as layers of sediment most likely transported into the North Atlantic Ocean by icebergs, known as ice rafted debris – IRD. The southerly position of many of these layers thousands of kilometres from any ice sheets either at the present day or in the past suggests a truly extraordinary amount of icebergs and cold fresh water were discharged over a relatively short period of time, from a large ice sheet. The source of these sediments is most likely the gigantic Laurentide ice sheet of North America, but there is also some evidence of smaller contributions from the British and Fenno- Scandian ice sheets (which may or may not have been joined together across the North Sea depending on how you interpret the evidence). The physics behind this is that as the enormous amount of cold fresh water was discharged into the North Atlantic, the temperature and salinity changes were sufficient to push, or keep the ITCZ far to the south, preventing the rains one East Africa.

On the other hand, other research has linked the failure of the rains to El Niño and related phenomena such as the Indian Ocean dipole and the Walker circulation. Still other scientists have noted that these drying periods seem to correlate with orbital changes in the earth which would affect the seasonality, that is the annual cycle of seasons. It is known as orbital forcing as the Earth’s seasons are driven by changes in our orbit around the sun (have a look at the excellent Orbit documentary from the BBC for a very easy to follow and beautifully filmed introduction to the importance of our orbit around the sun if you’re not familiar with Milankovitch cycles etc).

Milankovitch cycles shown from ocean cores and an Antarctic ice core at the bottom compared with the theoretical cycles. Image: By Incredio (Own work) [CC BY 3.0 (http://creativecommons.org/licenses/by/3.0)], via Wikimedia Commons
Milankovitch cycles shown from ocean cores and an Antarctic ice core at the bottom compared with the theoretical cycles.
Image: By Incredio (Own work) [CC BY 3.0 (http://creativecommons.org/licenses/by/3.0)], via Wikimedia Commons
All of these hypotheses can be supported by correlations with palaeo evidence,  but to really disentangle the connections between different regions of the world and how they affect each other’s weather and climate, we need to use a climate model. Luckily, at DMI we have the perfect tool to hand, a global climate model including ice sheets, EC-Earth. Furthermore we also have a high resolution regional climate model, HIRHAM5, my usual tool of choice. Our friends Morten Dahl Larsen and Martin Drews at the Danish Technical University are experts in using hydrology models so the answer is obvious.

We want to use these model tools and an extensive archive of observations, helpfully curated by our project partners Sarah Davies and Henry Lamb at Aberystwyth University to test all these different ideas. As an extra spinoff from the project, the Aberystwyth group have been intensively involved with the collection and analysis of a new lake sediment core from Chew Bahir in Ethiopia, so it’s going to be pretty exciting seeing if we can get the models to replicate  these kind of records.

There is of course an extra urgency to this project. It’s not just a somewhat obscure academic question. A recent paper showed that the long rains have significantly reduced over the last decade, and about 300 million* people live in this region and rely on these rains for drinking water, hydroelectric power and agricultural production. During this period we have also seen rapid changes in the Arctic. Of course the two trends may not be connected, or may be linked via a common third factor which is why the physics of climate are so important to understand.

UPDATE 2: I had no time originally in the writing of this to add a little about our other project associate. One of the best things about doing science are the very smart and friendly people  you meet along the way. Social media has really helped here to keep in touch as it is a nomadic lifestyle. By sheer chance I noticed a familiar name in a tweet that seemed to have some direct relevance to the proposal as we were writing it.

Hycristal

John Marsham was an old friend from my student days at Edinburgh University who I had slightly lost touch with. Thanks to the efforts of facebook we were soon back in touch and he is one of the Investigators on the HyCRISTAL project, part of the hugely important Future Climates for Africa Project, funded by the Department for International Development (DFiD) and the Natural Environment Research Council (NERC) in the UK. DACIA has some really obvious parallels with this project, though where we would like to concentrate on past climates, they will be focusing on present day and future climates. We hope therefore to send our PhD student to collaborate with the HyCRISTAL and FCFA projects where our insights from palaeomodelling palaeodata can make a real difference to the way future climate change is adapted to in East Africa. It will be very nice to collaborate with John’s group at Leeds as well as the Aberystwyth group, now we just have to hope we get the money to do it..

Or, to put it another way, “bless the rains down in Africa” ** (As an aside, for years I had always heard this as “I miss the rains down in Africa”, assuming it was about someone from Africa who missed being there).

UPDATE 1: Having viewed the original pop video again, I am rather troubled by the casual racism, sexism and naked orientalism on display (yes it was the 70s but still…) so I think I prefer to post instead this particularly witty deconstruction courtesy of @spaceforpootling

*(based on a back of the envelope calculation based on population statistics from Wikipedia if you know the correct number do let me know).

**(Apologies if you now have cheesy 1970’s pop music going round your head all day… 🙂 )

Changes in SW Greenland ice sheet melt

A paper my colleague Peter Langen wrote together with myself and various other collaborators and colleagues has just come out in the Journal of Climate. I notice that the Climate Lab Book regularly present summaries of their papers so here I try to give a quick overview of ours. The model output used in this run is available now for download.

The climate of Greenland has been changing over the last 20 or so years, especially in the south. In this paper we showed that the amount of melt and liquid water run off from the ice sheet in the south west has increased at the same time as the equilibrium line (roughly analogous to the snow line at the end of summer on the ice sheet) has started to move up the ice sheet. Unlike previous periods when we infer the same thing happened this can be attributed to warmer summers rather than drier winters.

Map showing area around Nuuk
The area we focus on in this study is in SW Greenland close to Nuuk, the capital. White shows glaciers, blue is sea, brown is land not covered by ice.

We focused on the area close to Nuuk, the capital of Greenland, as we had access to a rather useful but unusual (in Greenland) dataset gathered by Asiaq the Greenland survey. They have been measuring the run off from a lake near the margin of the ice sheet for some years and made this available to us in order to test the model predictions. This kind of measurement is particularly useful as it integrates melt and run-off from a wider area than the usual point measurements. As our model is run at 5.5 km resolution, one grid cell has to approximate all the properties of a 5.5 km grid cell. Imagine your house and how much land varies in type, shape and use in a 5.5 km square centred on your house and you begin to appreciate the problems of using a single point observation to assess what is essentially an area simulation! This is even more difficult in mountainous areas close to the sea, like the fjords of Norway or err, around south west Greenland (see below).

Represent this in a 5.5km grid cell, include glacier, sea and mountain...  Godthåbsfjord near Nuuk in August
The beautiful fjords near Nuuk. Represent this in a 5.5km grid cell…

The HIRHAM5 model is one of very few regional climate models that are run at sufficiently high resolution to start to clearly see the climate influences of mountains, fjords etc in Greenland, which meant we didn’t need to do additional statistical downscaling to see results that matched quite closely the measured discharge from the lake.

Graph comparing modelled versus measured discharge as a daily mean from Lake Tasersuaq near Nuuk, Greenland. The model output was summed over the Tasersuaq drainage basin and smoothed by averaging over the previous 7 days. This is because the model does not have a meltwater routing scheme so we estimated how long it takes for melt and run-off fromt he ice sheet to reach this point.
Graph comparing modelled versus measured discharge as a daily mean from Lake Tasersuaq near Nuuk, Greenland. The model output was summed over the Tasersuaq drainage basin and smoothed by averaging over the previous 7 days. This is because the model does not have a meltwater routing scheme so we estimated how long it takes for melt and run-off from the ice sheet to reach this point.

We were pretty happy to see that HIRHAM5 manages to reproduce this record well. There’s tons of other interesting stuff in the paper including a nice comparison of the first decade of the simulation with the last decade of the simulation, showing that the two look quite different with much more melt, and a lower surface mass balance (the amount of snowfall minus the amount of melt and run – off) per year in recent years.

Red shows where more snow and ice melts than falls and blue shows where more snow falls than is melted on average each year.
Red shows where more snow and ice melts than falls and blue shows where more snow falls than is melted on average each year.

Now, as we work at DMI, we have access to lots of climate records for Greenland. (Actually everyone does, the data is open access and can be downloaded). This means we can compare the measurements in the nearest location, Nuuk, for a bit more than a century. Statistically we can see the last few years have been particularly warm, maybe even warmer than the well known warm spell in the 1920s – 1940s  in Greenland.

Graphs comparing and extending the model simulation back in time with Nuuk observations
Graphs comparing and extending the model simulation back in time with Nuuk observations

There is lots more to be said about this paper, we confirm for example the role of increasing incoming solar radiation (largely a consequence of large scale atmospheric flow leading to clearer skies) and we show some nice results which show how the model is able to reproduce observations at the surface, so I urge you to read it (pdf here) but hopefully this summary has given a decent overview of our model simulations and what we can use them for.

I may get to the future projections next time…

The Present Day and Future Climate of Greenland

Regional Climate Model Data from HIRHAM5 for Greenland

In this post I am linking to a dataset I have made available for the climate of Greenland. In my day job I run a Regional Climate Model (RCM) over Greenland called HIRHAM5 . I will write a simple post soon to explain what that means in less technical terms but for now I just wanted to post a link to a dataset I have prepared based on output from an earlier simulation.

Mean annual 2m  temperature over Greenland (1989 - 2012) from HIRHAM5 forced by ERA-Interim on the boundaries
Mean annual 2m temperature over Greenland at 5km resolution (1989 – 2012) from HIRHAM5 forced by ERA-Interim on the boundaries [Yes I know it’s a rainbow scale. Sorry! it’s an old image – will update soon honest…]

This tar file gives the annual means for selected variables at 0.05degrees (5.5km) resolution over the Greenland/Iceland domain.

I am currently running a newly updated version of the model but the old run gave us pretty reasonable and could be used for lots of different purposes. I am very happy for other scientists to use it as they see fit, though do please acknowledge us, and we especially like co-authorships (we also have to justify our existence to funding agencies and governments!).

This is just a sample dataset we have lots of other variables and they are available at 3 hourly, daily, monthly, annual, decadal timescales so send me an email (rum [at] dmi [dot] dk) if you would like more/a subset/different/help with analysis of data. This one is for the period 1989 – 2012. I have now updated it to cover up to the end of 2014. The new run starts in 1979 and will continue to the present and has a significantly updated surface scheme plus different SST/sea ice forcing and a better ice mask.

I have also done some simulations of future climate change in Greenland at the same high resolution of 5km using the EC-Earth GCM at the boundaries for RCP4.5 and RCP8.5 scenarios which could be fun to play with if you are interested in climate change impacts in Greenland, Iceland and Arctic Canada.

Mean annual 2m temperature change between control period (1990 - 2010) and end of the century (2081 - 2100) under RCP45 from HIRHAM5 climate model runs forced by EC-Earth GCM at the boundaries
Mean annual 2m temperature change between control period (1990 – 2010) and end of the century (2081 – 2100) under RCP45 from HIRHAM5 climate model runs forced by EC-Earth GCM at the boundaries.  This plot shows the full domain I have data for in the simulations.

This run should be referenced with this paper:

Quantifying energy and mass fluxes controlling Godthåbsfjord freshwater input in a 5 km simulation (1991-2012), Langen, P. L., Mottram, R. H., Christensen, J. H., Boberg, F., Rodehacke, C. B., Stendel, M., van As, D., Ahlstrøm, A. P., Mortensen, J., Rysgaard, S., Petersen, D., Svendsen, K. H., Aðalgeirsdóttir, G.,Cappelen, J., Journal of Climate (2015)

http://journals.ametsoc.org/doi/abs/10.1175/JCLI-D-14-00271.1 

PDF here

Finally I should acknowledge that this work has been funded by a lot of different projects:

Picture4