|Analysis Underway on 30 Terabytes of Data from the Uncovering Genome Mysteries Project|
Source: World Community Grid News and Updates
vendredi 24 novembre 2017 18:19
The Uncovering Genome Mysteries data (all 30 terabytes) was transferred to the research teams in Brazil and Australia this year. Now, the researchers are analyzing this vast amount of data, and looking for ways to make it easy for other scientists and the public to understand.
|Aliquot sequence 1952670 has terminated!!!|
mercredi 22 novembre 2017 19:12
Aliquot sequence 1952670 has terminated!!!
|New Runs 11/21|
mardi 21 novembre 2017 23:45
I just put up some new runs. Let me know if you see any issues.
|12-digit factor of P2203 has now been found by the project...|
Source: WEP-M+2 Project
dimanche 19 novembre 2017 12:52
...131650 times - still no sign of any larger factors
|New index of warming due to human influence on climate released|
mercredi 15 novembre 2017 10:47
A new index of warming due to human influence on climate was released this week in the journal Nature Scientific Reports. It exceeded 1°C above mid-19th-century levels in 2017 and is rising faster than ever before, leaving little time to achieve the goals of the Paris Climate Agreement.
“Global temperatures may be pushed up temporarily by El Niño events or down by volcanic eruptions. We combine temperature observations with measurements of drivers of climate change to provide an up-to-date estimate of the contribution of human influence to global warming“, explains climateprediction.net team member Karsten Haustein, who led the study.
The level of human-induced warming reached 1.02°C above the average for 1850-79 in November 2017 (with a 5-95% uncertainty range of 0.88-1.22°C) based on HadCRUT4 temperature dataset from the UK Met Office, or 1.08°C when estimated using a version of HadCRUT4 (Cowtan/Way) that interpolates over poorly-sampled regions like the Arctic.
This figure is updated continuously on www.globalwarmingindex.org
“This ‘Global Warming Index’ has been increasing continuously since the 19th century, with no pause in recent decades“, Haustein continues. “It has risen at a rate of 0.16°C per decade over the past 20 years, and is expected to average 0.96°C above 1850-79 for the decade 2010-2019. Worryingly, it appears to be accelerating, despite the recent slow-down in carbon dioxide emissions, because of trends in other climate pollutants, notably methane.”
“A robust, continuously-updated index of human-induced warming – the only component of global temperatures we have any control over – is essential to monitor progress towards meeting temperature goals“, notes David Frame, a study co-author. “We hope the ‘Global Warming Index’ will provide this essential information to the UNFCCC process.”
Using the index in conjunction with carbon budget estimates based on current emissions, the remaining time until we cross the (anthropogenic) warming target of 1.5°C or 2°C can be monitored continuously as well on www.climateclock.net.
The paper is freely available online at www.nature.com/articles/s41598-017-14828-5.
These results were presented to delegates of the UNFCCC COP23 at a side-event “Measuring progress towards Paris Agreement goals: aligning science and policy” on 13 November.
Read a guest post by Karsten Haustein on this paper.
|New logo for LHC@home?|
lundi 13 novembre 2017 14:55
We are planning to update our web presence for LHC@home and in this context we got a couple of proposals for a new LHC@home logo from our graphics team.
|Enhanced statistics for the Siever app|
samedi 11 novembre 2017 00:00
On the Siever status page you see now on which base we are working and how they are progressing.
|Perfect Cuboid: Starting skipped range with more cuboids|
vendredi 10 novembre 2017 00:00
In the Perfect Cuboid subproject we have added per user statistics of found cuboids, as well as subproject status page was extended by the common statistics. 11 November at 11:11 UTC we are going to launch the 0-10T range which we skipped from the beginning, which contains almost the same amount of cuboids we've already discovered, and throw out 4 times shorter tasks to give an opportunity for all concerned users to put into the personal statistics a large number of cuboids. So, don't miss the start time.
|P73 record number found with gmp-ecm|
mardi 7 novembre 2017 00:00
For the ECM repunit project user astroboylok found a 73 digit prime. This number will make it into the largest primes list ever found with gmp-ecm.
|Assigning historical responsibility for extreme events|
lundi 6 novembre 2017 12:34
Historical responsibility of individual countries and regions can now be quantified for specific extreme events
A new paper by Dr Friederike Otto, Professor Myles Allen et al describes how scientific advances make it possible to assign extreme events to human-induced climate change and historical emissions from individual countries.
These developments could allow losses and damage associated with such events to be assigned country-level responsibility. Assigning historical responsibility is of relevance not only for financial interests, but also for climate justice.
Methodological developments in the science have increased robustness and confidence in event attribution, and it is now possible to say with high confidence that the likelihood of occurrence of individual classes of extreme weather events has increased due to anthropogenic climate change for some classes of extreme events (e.g. heatwaves, extreme rainfall). The paper, published recently in Nature Climate Change, goes a step further to highlight the potential of assigning individual countries’ greenhouse gas and aerosol emissions to specific extreme weather events.
The study looks at the summer 2013–2014 heatwave in Argentina as an example, during which large parts of the country witnessed the highest temperatures on record. This particular heatwave was chosen on the basis that previous studies (involving CPDN simulations) reveal anthropogenic influences made the event five times (400%) more likely.
Dr Otto’s study builds on previous work on assigning historic emissions to individual countries and explores two different statistical methods to combine this research with event attribution to estimate the change in the frequency of this event attributable to individual regions’ greenhouse gas emissions.
The researchers found that EU28 emissions made the Argentinian heatwave 19–60% more likely, out of the 400% increase in likelihood caused by total anthropogenic emissions.
The paper concludes that the fact that it is possible to provide such quantifications will greatly advance the possibility of an informed discussion on whether such information is useful, necessary, and should be included in multi-national agreements.
Furthermore, the possibility of assigning contributions of individual regions to damage could have the potential to reshape environmental litigation, raising questions regarding damage and responsibility in national jurisdictions, and thus climate justice.
 Friederike E. L. Otto, Ragnhild B. Skeie, Jan S. Fuglestvedt, Terje Berntsen & Myles R. Allen