Lawrence Berkeley Lab announced the results from a new supercomputer analysis of climate change. They analyzed five west coast "extreme storms" from 1982 to 2014. The conclusion from a senior scientist is that "it rains a lot more during the worst storms." -- Anybody can count to one. - Robert Widlar
supercomputer progress
Started by ●April 26, 2022
Reply by ●April 26, 20222022-04-26
jlarkin@highlandsniptechnology.com wrote:> Lawrence Berkeley Lab announced the results from a new supercomputer > analysis of climate change. They analyzed five west coast "extreme > storms" from 1982 to 2014. > > The conclusion from a senior scientist is that "it rains a lot more > during the worst storms."I'm surprised they even noticed that detail. Too bad they never talked to anybody over at the NOAA about how things work.
Reply by ●April 26, 20222022-04-26
On 2022/04/26 8:44 a.m., jlarkin@highlandsniptechnology.com wrote:> Lawrence Berkeley Lab announced the results from a new supercomputer > analysis of climate change. They analyzed five west coast "extreme > storms" from 1982 to 2014.https://www.greenbiz.com/article/berkeley-lab-tensilica-collaborate-energy-efficient-climate-modeling-supercomputer ---------<quote>----------------- Lawrence Berkeley National Laboratory scientists are looking to make highly detailed, 1 kilometer scale cloud models to improve climate predictions. Using current supercomputer designs of combining microprocessors used in personal computers, a system capable of making such models would cost about $1 billion and use up 200 megawatts of energy. A supercomputer using 20 million embedded processors, on the other hand, would cost about $75 million and use less than 4 megawatts of energy, according to Lawrence Berkeley National Laboratory researchers. -------------<end quote>-------------- 4 megawatts/200 megawatts - do the computers factor in their heat generation in the climate models? John ;-#)#
Reply by ●April 26, 20222022-04-26
On Tue, 26 Apr 2022 12:04:44 -0700, John Robertson <spam@flippers.com> wrote:> >On 2022/04/26 8:44 a.m., jlarkin@highlandsniptechnology.com wrote: >> Lawrence Berkeley Lab announced the results from a new supercomputer >> analysis of climate change. They analyzed five west coast "extreme >> storms" from 1982 to 2014. > >https://www.greenbiz.com/article/berkeley-lab-tensilica-collaborate-energy-efficient-climate-modeling-supercomputer > >---------<quote>----------------- >Lawrence Berkeley National Laboratory scientists are looking to make >highly detailed, 1 kilometer scale cloud models to improve climate >predictions. Using current supercomputer designs of combining >microprocessors used in personal computers, a system capable of making >such models would cost about $1 billion and use up 200 megawatts of >energy. A supercomputer using 20 million embedded processors, on the >other hand, would cost about $75 million and use less than 4 megawatts >of energy, according to Lawrence Berkeley National Laboratory researchers. >-------------<end quote>-------------- > >4 megawatts/200 megawatts - do the computers factor in their heat >generation in the climate models? > >John ;-#)#Does LBL measure energy in megawatts? Do bigger computers predict climate better? Oh dear. -- If a man will begin with certainties, he shall end with doubts, but if he will be content to begin with doubts he shall end in certainties. Francis Bacon
Reply by ●April 27, 20222022-04-27
On Wednesday, April 27, 2022 at 6:53:20 AM UTC+10, John Larkin wrote:> On Tue, 26 Apr 2022 12:04:44 -0700, John Robertson <sp...@flippers.com> > wrote: > > > >On 2022/04/26 8:44 a.m., jla...@highlandsniptechnology.com wrote: > >> Lawrence Berkeley Lab announced the results from a new supercomputer > >> analysis of climate change. They analyzed five west coast "extreme > >> storms" from 1982 to 2014. > > > >https://www.greenbiz.com/article/berkeley-lab-tensilica-collaborate-energy-efficient-climate-modeling-supercomputer > > > >---------<quote>----------------- > >Lawrence Berkeley National Laboratory scientists are looking to make > >highly detailed, 1 kilometer scale cloud models to improve climate > >predictions. Using current supercomputer designs of combining > >microprocessors used in personal computers, a system capable of making > >such models would cost about $1 billion and use up 200 megawatts of > >energy. A supercomputer using 20 million embedded processors, on the > >other hand, would cost about $75 million and use less than 4 megawatts > >of energy, according to Lawrence Berkeley National Laboratory researchers. > >-------------<end quote>-------------- > > > >4 megawatts/200 megawatts - do the computers factor in their heat > >generation in the climate models?Probably don't have to bother. It's lost in the rounding errors.> Does LBL measure energy in megawatts?No, but the media department won't be staffed with people with degrees in physics (or any hard science).> Do bigger computers predict climate better?That remains to be seen, but modelling individual cloud masses at the 1km scale should work better than plugging in average cloud cover for regions broken up into 100km by 100km squares The IEEE Spectum published an article on "Cloud computing" a few years ago that addressed this issue.> Oh dear.John Larkin doesn't know much, and what he thinks he know mostly comes from Anthony Watts' climate change denial web site. -- Bill Sloman, Sydney
Reply by ●April 27, 20222022-04-27
On a sunny day (Tue, 26 Apr 2022 16:56:33 -0000 (UTC)) it happened Cydrome Leader <presence@MUNGEpanix.com> wrote in <t49881$clq$2@reader1.panix.com>:>jlarkin@highlandsniptechnology.com wrote: >> Lawrence Berkeley Lab announced the results from a new supercomputer >> analysis of climate change. They analyzed five west coast "extreme >> storms" from 1982 to 2014. >> >> The conclusion from a senior scientist is that "it rains a lot more >> during the worst storms." > >I'm surprised they even noticed that detail. Too bad they never talked to >anybody over at the NOAA about how things work.There is a lot about need to publish Somebody I knew did a PhD in psychology or something He promoted on a paper about the sex-life of some group living in the wild. I asked him if he went there and experienced it... No :) if you read sciencedaily.com every day there are papers and things discovered that are either too obvious to read or too vague to be useful. Do plants have feeling? Do monkeys feel emotions? sort of things Of course they do. Today: Prehistoric People Created Art by Firelight of course they did, no flashlights back then in a dark cave.
Reply by ●April 27, 20222022-04-27
On a sunny day (Tue, 26 Apr 2022 13:53:08 -0700) it happened John Larkin <jlarkin@highland_atwork_technology.com> wrote in <fpmg6hhot88ajjqkcb6nv9mkbjm7s9q85k@4ax.com>:>On Tue, 26 Apr 2022 12:04:44 -0700, John Robertson <spam@flippers.com> >wrote: > >> >>On 2022/04/26 8:44 a.m., jlarkin@highlandsniptechnology.com wrote: >>> Lawrence Berkeley Lab announced the results from a new supercomputer >>> analysis of climate change. They analyzed five west coast "extreme >>> storms" from 1982 to 2014. >> >>https://www.greenbiz.com/article/berkeley-lab-tensilica-collaborate-energy-efficient-climate-modeling-supercomputer >> >>---------<quote>----------------- >>Lawrence Berkeley National Laboratory scientists are looking to make >>highly detailed, 1 kilometer scale cloud models to improve climate >>predictions. Using current supercomputer designs of combining >>microprocessors used in personal computers, a system capable of making >>such models would cost about $1 billion and use up 200 megawatts of >>energy. A supercomputer using 20 million embedded processors, on the >>other hand, would cost about $75 million and use less than 4 megawatts >>of energy, according to Lawrence Berkeley National Laboratory researchers. >>-------------<end quote>-------------- >> >>4 megawatts/200 megawatts - do the computers factor in their heat >>generation in the climate models? >> >>John ;-#)# > >Does LBL measure energy in megawatts? > >Do bigger computers predict climate better? > >Oh dear.I have read CERN uses more power than all windmills together deliver in Switzerland.
Reply by ●April 27, 20222022-04-27
On 2022-04-27 12:19, Jan Panteltje wrote:> On a sunny day (Tue, 26 Apr 2022 13:53:08 -0700) it happened John Larkin > <jlarkin@highland_atwork_technology.com> wrote in > <fpmg6hhot88ajjqkcb6nv9mkbjm7s9q85k@4ax.com>: > >> On Tue, 26 Apr 2022 12:04:44 -0700, John Robertson <spam@flippers.com> >> wrote: >> >>> >>> On 2022/04/26 8:44 a.m., jlarkin@highlandsniptechnology.com wrote: >>>> Lawrence Berkeley Lab announced the results from a new supercomputer >>>> analysis of climate change. They analyzed five west coast "extreme >>>> storms" from 1982 to 2014. >>> >>> https://www.greenbiz.com/article/berkeley-lab-tensilica-collaborate-energy-efficient-climate-modeling-supercomputer >>> >>> ---------<quote>----------------- >>> Lawrence Berkeley National Laboratory scientists are looking to make >>> highly detailed, 1 kilometer scale cloud models to improve climate >>> predictions. Using current supercomputer designs of combining >>> microprocessors used in personal computers, a system capable of making >>> such models would cost about $1 billion and use up 200 megawatts of >>> energy. A supercomputer using 20 million embedded processors, on the >>> other hand, would cost about $75 million and use less than 4 megawatts >>> of energy, according to Lawrence Berkeley National Laboratory researchers. >>> -------------<end quote>-------------- >>> >>> 4 megawatts/200 megawatts - do the computers factor in their heat >>> generation in the climate models? >>> >>> John ;-#)# >> >> Does LBL measure energy in megawatts? >> >> Do bigger computers predict climate better? >> >> Oh dear. > > I have read CERN uses more power than all windmills together deliver in Switzerland. >Yes, that sounds correct. CERN uses about 200MW when everything is running. Switzerland has a little over 70MW of windmills installed. Of course, those never actually deliver 70MW. More like 25% of that, on average. Most of CERN's electricity comes from the Genissiat dam in nearby France. Jeroen Belleman
Reply by ●April 27, 20222022-04-27
On Wednesday, April 27, 2022 at 8:17:20 PM UTC+10, Jan Panteltje wrote:> On a sunny day (Tue, 26 Apr 2022 16:56:33 -0000 (UTC)) it happened Cydrome > Leader <pres...@MUNGEpanix.com> wrote in <t49881$clq$2...@reader1.panix.com>: > >jla...@highlandsniptechnology.com wrote: > >> Lawrence Berkeley Lab announced the results from a new supercomputer > >> analysis of climate change. They analyzed five west coast "extreme > >> storms" from 1982 to 2014. > >> > >> The conclusion from a senior scientist is that "it rains a lot more > >> during the worst storms." > > > >I'm surprised they even noticed that detail. Too bad they never talked to > >anybody over at the NOAA about how things work. > There is a lot about need to publish > Somebody I knew did a PhD in psychology or something > He promoted on a paper about the sex-life of some group living in the wild. > I asked him if he went there and experienced it... > > No :) > > if you read sciencedaily.com every day there are papers and things discovered that are either too obvious to read or too vague to be useful?In Jan's ever-so-expert opinion. Anything published in the peer reviewed literature, get reviewed by people who do know something about the subject - the author's peers - who have to accept it as a useful and meaningful contribution. Max Planck didn't bother sending out any of Einsteins 1905 papers for review. He had enough confidence in his own judgement not to bother, and he was right.> Do plants have feeling?Depends what you mean by feelings.> Do monkeys feel emotions?Obviously they do.> sort of things > Of course they do. > Today: > Prehistoric People Created Art by Firelight > of course they did, no flashlights back then in a dark cave.That's all popular science. Peer reviewed science is rather more technical. -- Bill Sloman, Sydney
Reply by ●April 27, 20222022-04-27
Anthony William Sloman <bill.sloman@ieee.org> wrote in news:cc47cea9-5c27-411a-9793-f83274cfb007n@googlegroups.com:> On Wednesday, April 27, 2022 at 6:53:20 AM UTC+10, John Larkin > wrote: >> On Tue, 26 Apr 2022 12:04:44 -0700, John Robertson >> <sp...@flippers.com> wrote: >> > >> >On 2022/04/26 8:44 a.m., jla...@highlandsniptechnology.com >> >wrote: >> >> Lawrence Berkeley Lab announced the results from a new >> >> supercomputer analysis of climate change. They analyzed five >> >> west coast "extreme storms" from 1982 to 2014. >> > >> >https://www.greenbiz.com/article/berkeley-lab-tensilica-collabora >> >te-energy-efficient-climate-modeling-supercomputer >> > >> >---------<quote>----------------- >> >Lawrence Berkeley National Laboratory scientists are looking to >> >make highly detailed, 1 kilometer scale cloud models to improve >> >climate predictions. Using current supercomputer designs of >> >combining microprocessors used in personal computers, a system >> >capable of making such models would cost about $1 billion and >> >use up 200 megawatts of energy. A supercomputer using 20 million >> >embedded processors, on the other hand, would cost about $75 >> >million and use less than 4 megawatts of energy, according to >> >Lawrence Berkeley National Laboratory researchers. >> >-------------<end quote>-------------- >> > >> >4 megawatts/200 megawatts - do the computers factor in their >> >heat generation in the climate models? > > Probably don't have to bother. It's lost in the rounding errors. > >> Does LBL measure energy in megawatts? > > No, but the media department won't be staffed with people with > degrees in physics (or any hard science). > >> Do bigger computers predict climate better? > > That remains to be seen, but modelling individual cloud masses at > the 1km scale should work better than plugging in average cloud > cover for regions broken up into 100km by 100km squares The IEEE > Spectum published an article on "Cloud computing" a few years ago > that addressed this issue. > >> Oh dear. > > John Larkin doesn't know much, and what he thinks he know mostly > comes from Anthony Watts' climate change denial web site. >1nm scale not kilometer. I want to marry this woman... <https://www.youtube.com/watch?v=0sUQkIyoF8M>
