- ABC@home: Project News 17 Dec 2014
17.12.2014 00:00 Uhr
ABC@home will be down for a few hours (at least) while we migrate to a new machine/setup.
- ABC@home: Project News 22 May 2013
22.05.2013 00:00 Uhr
ABC@home may (again) be unavailable for some periods over the next few days.
- ABC@home: Project News 18 February 2013
18.02.2013 00:00 Uhr
ABC@home may be unavailable for some periods over the next few days.
- ABC@home: Project News 7 December 2012
07.12.2012 00:00 Uhr
Due to planned maintenance work on the university network, ABC@home will probably be unavailable from 17:00 UTC today until around 07:00 UTC tomorrow.
- ABC@home: Project News 8 September 2012
08.09.2012 00:00 Uhr
We’ve reached another milestone in our search; while we verify the data and prepare for future work, there will be far fewer workunits available. Thanks for all the support so far, and we look forward to having more work available soon!
- ABC@home: Project News 25 March 2012
25.03.2012 00:00 Uhr
We’ve encountered a problem with our feed of new work units, so there’s no new work available right now. Sorry! We’re working on fixing it.
- ABC@home: Project News 10 September 2011
10.09.2011 00:00 Uhr
Due to a flood of spam, we’ve temporarily restricted who can post to the project forums.
- ABC@home: Project News 9 April 2011
09.04.2011 00:00 Uhr
A quick update: A lot of spam profiles were removed in the last few days, do complain if we removed any legitimate ones by mistake! Also, preliminary data for all triples with c no more than 10^18 has been available from our data page for a while now, although it is (of course) still preliminary at this point. Many thanks to our dedicated users, and we’ve now moved onward to further reaches of the search space!
- ABC@home: Project News 3 October 2010
03.10.2010 00:00 Uhr
ABC@home will be unavailable for some periods over the next few days.
- AlmereGrid Boinc Grid: De afgelopen week hadden we problemen met de schijven van de server. Alles lijkt nu opgelost
14.01.2014 00:00 Uhr
- AlmereGrid Boinc Grid: Past week we had problems with the disks of our server. Everything seems to be resolved now
14.01.2014 00:00 Uhr
- AlmereGrid Boinc Grid: Wat doet Correlizer? Zie de beschrijving op .
22.02.2012 00:00 Uhr
- AlmereGrid Boinc Grid: What does the Corellizer application do? See description on .
22.02.2012 00:00 Uhr
- AlmereGrid Boinc Grid: The first 10.000 WUs of the new version of Correlizer are now in the system.
19.07.2011 00:00 Uhr
- AlmereGrid Boinc Grid: De eerste 10.000 WUs van de nieuwe versie van Correlizer zitten nu in het systeem
19.07.2011 00:00 Uhr
- AlmereGrid Boinc Grid: Komende maandag, 30 mei, beginnen we met een upgrade van de server en een installatie van een nieuwe versie van BOINC. We verwachten na drie dagen weer online te zijn.
27.05.2011 00:00 Uhr
- AlmereGrid Boinc Grid: We start upgrading the server with a new version of BOINC on Monday May 30th 2011. We expect it takes about three days to be online again.
27.05.2011 00:00 Uhr
- AlmereGrid Boinc Grid: Rapport samengesteld door
internationale teams van experts onder leiding van AlmereGrid.
16.02.2011 00:00 Uhr
- BURP: Continuously BURPing for a decade
16.06.2014 16:59 Uhr
On June the 16th 2004, the very first test renders started rendering on BURP. A lot has happened since then and a lot of the original ideas from back then have now been turned into reality. We aren’t done just yet, so stay tuned for more in the next 10 years - Happy anniversary!
- BURP: Short film "Vetri" by Danan
15.05.2014 18:20 Uhr
Danan has completed his work on the movie “Vetri” that we’ve recently been rendering. This is the third, large, movie project that he has done – the former ones being “Tripping” and “Theevan” – and he has already promised that there is going to be more where it came from. You can watch the movie and comment on it in his thread in the forum.
- BURP: Correction to the previous news post
09.04.2014 18:03 Uhr
A tiny little spelling error got into the news item from 1st of April causing it to look like BURP had been acquired by Facebook. The intended text was of course: “Happy 1st of April!”
- BURP: BURP has been acquired by Facebook inc.
01.04.2014 12:00 Uhr
In a short press release today the California-based company Facebook Inc. announced that they have bought the BURP rendering platform including all assets for $21 billion. “Facebook Chairman and CEO, Mark Sugarbird” wrote:
I’m excited to announce that we’ve agreed to acquire BURP, the leader in BOINC-based online rendering technology using Blender. Facebook’s mission is to make the world more open and connected. This has mostly meant building mobile apps that help you share with the people you care about, but at this point we feel we’re in a position where we can start focusing on what will come next to enable even more useful, entertaining and personal experiences. BURP’s mission is to enable you to experience the impossible. Together the technologies open up the possibility of completely new kinds of experiences!The buyout is just one in a series of large technology investments made recently, but the price tag completely dwarfs that of the Oculus Rift. As a consequence of this merger there is going to be some changes in the near future:
- All accounts will be merged with existing Facebook accounts and will be automatically converted to use your real name and personal picture (regardless of your security settings)
- We’re adding support for playing mini-games while uploading sessions. You can add credit card information in the user account settings to make in-game purchases easier.
- Random delays of around 3-5 seconds will be added to the website from time to time for no apparent reason.
- If a session contains references to known living persons it will automatically post a link on their wall through WhatsApp with Instagrammed 3D previews from the rendered animation, easily browsable with any attached Oculus Rift.
The PR department has yet to come up with a good name for the new platform but has revealed that to honor the legacy of both parties it will most likely be some combination of the words “face” and “burp”.
- climateprediction.net: 2014 in numbers – 7,500 years of computing time
10.02.2015 17:13 Uhr
In 2014, our volunteers donated nearly 250 billion seconds of computing time.
That’s more than 7,500 years of computing time, completing half a million successful simulations, for a total of nearly 2 billion credits.
As always, our thanks go out to our dedicated volunteers who let us run our climate models on their computers – we really couldn’t do this project at all without you!
We were running several different experiments in 2014 with a nearly even split between 3 big projects:
- Weather@home 2013 Australia and New Zealand heatwaves and drought [hadam3p_anz] 72,172,281,000s
- Weather@home 2014: the causes of the UK winter floods [hadam3p_eu] 61,225,243,00s
- RAPID-CHAAOS [hadcm3n & hadcm3s] 74,039,203,00s + 12,220,935,00s
Other smaller experiments include:
- HYDRA [hadam3pm2] 1,476,378,00s
- Weather@home Climate Accountability: the causes of extreme heat in the Western US [hadam3p_pnw] 16,486,965,00s
See the full breakdown in this pie chart:
- climateprediction.net: Planned server downtime Thursday 5 February
29.01.2015 11:48 Uhr
Our servers will be down briefly on Thursday 5 February for scheduled maintenance.
We will be configuring the underlying hardware to improve the backup system which should increase our resilience in case of hardware failure in the future.
We hope this will only take a few hours, but could continue into Friday 6 February.
Apologies if this causes any inconvenience.
- climateprediction.net: How anthropogenic greenhouse gas emissions are changing the odds of individual extreme weather events – a communication opportunity
27.01.2015 15:51 Uhr
One of the biggest communication problems with respect to anthropogenic climate change is that for most people climate change is perceived as a threat in the future, and therefore most likely only future generations will feel the impacts. An exception to this fact are extreme weather events some of which are already being made more likely by climate change. If this causal connection can be drawn to public attention at the time, the impact of climate change could potentially be made more real and immediate in the public consciousness.
Shrewsbury Abbey from the west, November 2000, by Bob Bowyer, geograph.org.uk
Up until very recently, however only general statements about such events could be made which again did not help in getting the message across that climate change is not just a future problem. In a warming world particular types of weather events, such as heat waves and extreme rainfall, will become both more intense and more frequent with a rising mean global temperature. However, such general physical reasoning (e.g. warmer air can contain more water vapour leading to more intense and more frequent rainfall events) leaves us unable to say more than that such extreme weather events are consistent with climate change *.
Furthermore, the chaotic nature of weather means that it is generally impossible to say, for any specific event, that it would not have occurred in the absence of human influence on climate. In a simple analogy, a dice may be loaded to come up six, but a six could have come up anyway without the loading. Many people therefore think that it is impossible to attribute specific extreme weather events to past gas emissions, even in principle. However, this is not the case.
In the last decade a new field of research, probabilistic event attribution (PEA) has emerged, and developed the methodology to identify a human fingerprint in individual extreme weather events. The framework was introduced in 2003 by Myles Allen in Oxford and in 2004, Stott et al. published the first paper in Nature applying PEA and showing that climate change at least doubled the risk of the record-breaking European heat wave in the summer of 2003. Since then, advances in the field have prompted numerous studies, leading the Bulletin of the American Meteorological Society (BAMS) to dedicate an annual special issue to extreme event attribution for the past three years.
In the probabilistic approach, possible weather under the observed climate conditions (e.g. greenhouse gas concentration, sea surface temperatures, etc.) is simulated over and over again using state-of-the-art climate models and thus obtaining statistics of weather under these conditions. At the same time possible weather is simulated under equivalent natural forcings (solar, volcanoes, etc) but with pre-industrial values of greenhouse gas concentrations in the atmosphere, hence we simulate possible weather in a world without anthropogenic climate change.
Using the analogy above we roll the weather dice over and over again to obtain statistics of rolling a six. Anthropogenic climate change might have loaded the dice to increase or decrease the probability of coming up six. While we do know that for unloaded dice the probability of coming up 6 is one sixth we do not know the probabilities of extreme weather events in a world without climate change because we have never observed such a world. The approach, therefore, depends crucially on model simulations and on the model’s ability to reliably simulate the climate conditions generating the extreme weather event. So, while attributing changes in risk of extreme events, e.g. heat waves, to increasing anthropogenic greenhouse gas emissions can be done with confidence, the robustness of attribution studies of other extreme events must be assessed on a case-by-case basis.
This has been done with several successful assessments on the human influence on the probability of occurrence of extreme precipitation events (Pall et al., 2011, Christidis et al., 2013, Lott et al., 2013, Schaller et al., 2014). Every extreme weather event is caused by a combination of different factors so a case-by-case analysis is necessary. However, crucially, it is now possible, using PEA, to link individual extreme weather events to their individual causes, one of which could be anthropogenic greenhouse gas emissions.
For each of such attribution studies the possible outcome could be that human greenhouse gas emissions have increased the likelihood of the event, or decreased it or played no detectable role. A fourth possibility would be that our current generation of climate models is unable to reliably reproduce the event. Apart from events that fall in the latter category (e.g. tornados) PEA offers the chance, for the first time, to directly link individual weather events to anthropogenic climate change and thus to assess whether and to what extent climate change is already taking its toll. In other words, it enables us to give a quantitative estimate of how much anthropogenic climate change is costing us today.
This ability could potentially have a huge impact on climate change communication. Extreme events, in particular those that are not just rare from a meteorological perspective but also lead to societal and monetary damages and interrupt everyday life usually receive a very high level of public attention. If attribution studies show that a particular event was indeed made more likely due to anthropogenic climate change, i.e. anthropogenic climate change has increased the chance of the event occurring at this point in time, human induced climate change is transformed from something that is happening at some point in the future to a real threat in the here and now. Hence, PEA can make anthropogenic climate change immediately graspable and thus invaluable to communicate the topic to the public, the press and the politicians.
Currently, these studies are published well after public attention to the event has peaked. However, while the first study attributing a high precipitation event (Pall et al., 2011) to anthropogenic climate change took several years to complete, the annual Bulletins of the American Meteorological Society (Peterson et al., 2012, 2013 Herring et al., 2014) only require months to complete. By refining the methodology and crucially involving more scientists and research groups globally in event attribution, the science is advancing quickly and validation and event definition processes are now possible in very short time frames.
Because a deep understanding of the relevant meteorological processes for each single event is necessary it is difficult to foresee these procedures being automated. Through a new partnership between Climate Central, a non-profit organisation providing TV weather forecasters with climate information, the University of Oxford Environmental Change Institute and other academic partners this huge communication opportunity will be taken to the next level by building a modelling and communication framework that provides decision-makers, and in particular the public, with the means to make clear the quantitative connections between greenhouse gas emissions and extreme weather events in real-time.
Map from Climate Central showing how extreme precipitation events are on the rise
This fast turn around ensures that any communication opportunity will have maximum impact as an extreme event only remains topical while it is unfolding. By hearing the science as the public experience the event, they will really begin to fully understand climate change.
This article originally appeared in the Oxford Magazine.
* Hulme 2014, “Attributing Weather Extremes to ‘Climate Change’: a Review” in Progress in Physical Geography, p. 5. (accessed July 15 2014).
Allen (2003) Liability for climate change. Nature, 421:891-892.
Christidis, N., P. A. Stott, A. Scaife, A. Arribas, G. S. Jones, D. Copsey, J. R. Knight, and W. J. Tennant, (2013) A new HadGEM3-A based system for attribution of weather and climate-related extreme events, J. Climate, 26, 2756-2783
Herring, S. C., M. P. Hoerling, T. C. Peterson, and P. A. Stott, Eds., 2014: Explaining Extreme Events of 2013 from a Climate Perspective.
Bull. Amer. Meteor. Soc., 95 (9), S1–S96. Lott, F., N. Christidis, and P. Stott (2013) Can the 2011 East African drought be attributed to anthropogenic climate change? Geophys. Res. Lett., 40, 1177-1181.
Otto, F. E. L., N. Massey, G. J. van Oldenborgh, R. G. Jones, and M. R. Allen (2012) Reconciling two approaches to attribution of the 2010 Russian heat wave. Geophys. Res. Lett., 39, L04702.
Pall, P., T. Aina, D.A. Stone et al. (2011), Anthropogenic greenhouse gas contribution to flood risk in England and Wales in autumn 2000, Nature, 470, 382-385.
Peterson, T. C., M. P. Hoerling, P. A. Stott and S. Herring, Eds. (2013) Explaining Extreme Events of 2012 from a Climate Perspective. Bull. Amer. Meteor. Soc., 94 (9), S1–S74.
Peterson, T. C., P. A. Stott and S. Herring, Eds. (2012) Explaining Extreme Events of 2011 from a Climate Perspective. Bull. Amer. Meteor. Soc., 93 (7), S1–S74.
Schaller, N., F. Otto, G.J. van Oldenborgh, N Massey, S. Sparrow (2014) The heavy precipitation event of May-June 2013 in the upper Danube and Elbe basins [in “Explaining Extremes of 2013 from a Climate Perspective”]. Bull. Amer. Meteor. Soc., 95 (9), S69–S72.
- climateprediction.net: EPSRC funded PhD in Mathematics at University of Exeter
20.01.2015 14:35 Uhr
Disentangling the impact of land use on climate change with Big Data
Application deadline: 13th February 2015
Using the HYDRA project, this PhD project will look at the uncertainty in the climate system due to land use change on both global and local scales. This will make use of a very large (100,000+ experiments) model ensemble using the climateprediction.net distributed computing system.
Please visit the University of Exeter website for more information.
- climateprediction.net: Website up and running again
06.01.2015 17:04 Uhr
I’m pleased to let you know that the website is now up and running again, after being down over Christmas.
Sorry if this caused any inconvenience.
From everyone in the CPDN team, we hope you had a lovely Christmas and New Year!
- climateprediction.net: Europe’s Record Heat Directly Tied to Climate Change
18.12.2014 12:39 Uhr
As 2014 comes to a close, Europe is virtually certain to lock in its hottest year in more than 500 years, and according to research by three independent teams of climate scientists, including climateprediction.net, the record can be closely attributed to climate change.
The three groups, from the UK, the Netherlands and Australia, each using a different method, found that Europe should best its previous heat record set in 2007, and that setting that record has been made at least 35 to 80 times more likely by the manmade rise of greenhouse gases in the atmosphere.
“All the groups are concluding there is a very substantial influence of human caused climate change on increasing the chances of setting a new record in 2014,” said David Karoly, an atmospheric scientist at the Australian National University and one of the project researchers.
The three teams in this project — from the Royal Netherlands Meteorological Institute (KNMI), the University of Oxford, the University of Melbourne and the Australia National University — are working as part of a new initiative with Climate Central to examine extreme weather events and determine climate change’s role in them. In the past, extreme-event attribution took much longer to determine, but the new effort aims to establish any link between climate and extreme weather events much sooner after events happen.
Extreme heat events are one of the signature extremes expected in a warming world, according to climate model projections, be they a record hot summer in Australia or a record hot year for any part of the planet or the globe as a whole. And in general, the link between climate change and extreme heat is clearer and easier to discern than for other forms of extreme weather, such as extreme downpours or drought.
Different Methods, Same Conclusion
In this analysis of extreme heat, each team used different methodology and came up with slightly different numbers for the 2014 record projection and the likely role that climate change played, but all showed a heavy influence of manmade climate change on the recent heat records.
Globally, as well as in Europe, nine of the 10 hottest years ever recorded have all occurred since 2000. No annual cold record has been set in Europe since 1956 as warming is making hot years hotter and more frequent. No year has been record cold globally since 1911.
This year has been particularly warm, driven largely by extraordinary warming in large swaths of the Earth’s oceans.
Of course, the world doesn’t warm uniformly. In the U.S., for example, the eastern part of the country has had a fairly cool year while parts of the West are on pace for record temperatures. And many other parts of the planet have been baking, including Europe.
Nineteen European countries are on track for their hottest year on record: Austria, Belgium, Croatia, Czech Republic, Denmark, France, Germany, Hungary, Iceland, Italy, Luxembourg, The Netherlands, Norway, Poland, Serbia, Slovakia, Slovenia, and the United Kingdom. Sweden is projected to tie its record high.
Our team at the University of Oxford, led by Myles Allen and Friederike Otto, used thousands of iterations of regional climate models embedded within larger global models to examine more localized weather events.
For example, our data for Germany determined that what was once a 1 in 80-year heat event has now become a 1 in 7-year event, making it 10 times more likely due to global warming.
Using our volunteers’ computers for our weather@home project, we simulated possible European weather based on the observed global ocean temperatures. At the same time, we also simulated a 2014 where there is no human-influenced climate change. Comparing those two “worlds” we found that the 2014 European temperatures were much more likely in the world with climate change than the one without.
“It is important to highlight that Oxford’s result crucially depends on the 2014 global ocean temperatures. The same study using 2000-2011 conditions gives a different result although the anthropogenic warming is the roughly same in these years,” said Dr Friederike Otto.
“When looking at smaller regions in Europe, we notice that there is a higher variability of temperatures,” Karsten Haustein, who conducted the analysis, said. “For example, in central Europe we found that the probability of reaching the observed 2014 temperatures is about 40 times higher. In an even smaller region such as the UK, we found that the probability has increased by a factor of about 10.”
Research from the Netherlands
As a continent, Europe is set to break its record by 0.12°C, according to new estimates made by Geert Jan van Oldenborgh at KNMI, and explained in the Climate Indicator Bulletin released by the World Meteorological Organization’s Regional Climate Center for Europe and the Middle East.
Van Oldenborgh used both modern and early temperature records, as well as sources like tree rings, which can act as a proxy for very old temperatures, to observe Europe’s temperature records back to 1500 and determined that 2014 will almost certainly be the warmest year Europe has experienced during the past 500 years.
When looking at the record of temperatures over time, “you see that the world is getting warmer and hence Europe is getting warmer,” van Oldenborgh said.
Using those observational records, van Oldenborgh’s analysis concluded that global warming has made a temperature anomaly like the one observed in 2014 in Europe at least 80 times more likely.
At the beginning of the 20th century, before the global warming signal emerged from the noise of year-to-year variability, the chances of seeing a year as warm as this one were less than one in 10,000, van Oldenborgh said. “It would be almost impossible to reach these temperatures a century ago.”
An Australian team led by Karoly and Andrew King of the University of Melbourne answered a slightly different question, which was to ask how much more likely it was to break the 2007 record with warming than without. To do this they used the same model simulations used in the Intergovernmental Panel on Climate Change’s most recent report.
They found that the accumulation of greenhouse gases, which increases the chances of a record warm year every year they accumulate, made such an event 35 times more likely.
The differences in the numbers calculated by each group are a product of the slightly different questions each team asked, as well as the inherent uncertainty in these sorts of measurements, given how rare extreme events are, van Oldenborgh said. But for this heat event, “these numbers are very close given the uncertainties,” he said. That agreement across studies “gives us confidence in the result that global warming made a temperature this high in Europe much more likely.”
The results are also in line with previous work of Karoly’s that found that the record warm year Australia experienced in 2013 was “virtually impossible” without the influence of global warming, as he put it.
“What we’ve been finding is that there’s a very clear signal on human influences on increases in the likelihoods of record temperatures,” Karoly said.
Download a fact sheet about European Attribution for 2014.
- climateprediction.net: New publication on the experimental setup of weather@home
30.10.2014 11:48 Uhr
A paper detailing the model development, experimental setup and validation of the weather@home project has been published in the Quarterly Journal of the Royal Meteorological Society.
The paper is open access and is available to read here:
The paper explains the background to climateprediction.net and how the project is using regional climate modelling to answer questions about the attribution of extreme weather events – “Was the event caused by anthropogenic climate change?”
weather@home – development and validation of a very large ensemble modelling system for probabilistic event attribution
Neil Massey, Richard Jones, Friederike Otto, Tolu Aina, Simon Wilson, James Murphy, David Hassell, Hiro Yamazaki and Myles Allen
Quarterly Journal of the Royal Meteorological Society, DOI: 10.1002/qj.2455
- climateprediction.net: New publication about extreme summer rainfall in England and Wales
14.10.2014 14:38 Uhr
A new publication by our Science Coordinator, Dr Friederike Otto, has been published in Climatic Change about our recent research into extreme summer rainfall events in England and Wales as an example for probabilistic event attribution.
In the summer of 2007 England and Wales experienced very heavy flooding. Summer precipitation and subsequently flooding are harder to model than winter or autumn rainfall and this recent publication highlights this again. We look at different possible drivers of high precipitation in summer and do not find a conclusive signal apart for the July precipitation which might have been exacerbated due to anthropogenic forcing. However, the focus of the paper is not so much the attribution of the extreme precipitation to external climate drivers but the quantification of the uncertainties involved in such a study. The paper is part of a special issue dedicated to exactly these issues which will soon be published in full.
Read the full article, which is open source, here.